Artificial Intelligence Architect Salary: Up to £100,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes.The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions.Responsibilities for the Artificial Intelligence Architect:Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business casesAct as a trusted advisor during discovery sessions, workshops and bid processesTranslate business requirements into enterprise-grade Data and AI architecturesDesign and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflowsLead complex AI implementations, ensuring solutions deliver measurable valueEvaluate and select appropriate models, frameworks, orchestration tools and platformsArchitect and scale LLM-powered applications including chatbots and agent-based systemsProduce thought leadership content and contribute to go-to-market propositionsMaintain strong awareness of emerging technologies and the competitive AI landscapeCollaborate closely with data science, engineering and business teams to design robust end-to-end solutionsContribute to account strategy, aligning technical delivery with business prioritiesDrive productivity improvements and cost optimisation through intelligent automationEssential Skills for the Artificial Intelligence Architect:Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automationStrong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOpsExperience delivering enterprise-scale RAG solutions using LLMs and vector databasesAbility to design AI platforms that integrate with existing enterprise technology stacksHands-on experience with core GenAI frameworks and agent-based AI conceptsStrong deployment experience on at least one major cloud platform including AI and ML servicesSolid software engineering foundation for building scalable, maintainable AI systemsAdvanced Python expertise with AI and ML frameworksExperience with MLOps and LLMOps tooling including containerisation and orchestration platformsProven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluationStrong understanding of advanced agent architectures, reasoning systems and evaluation methodologiesExcellent stakeholder engagement and consulting capabilityExperience leading and mentoring teams of AI or software engineersIf you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full timeA globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains.The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes.Responsibilities for the AI Engineer:Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cyclesLead technical delivery during workshops, discovery sessions and innovation sprintsBuild and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based modelsDevelop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrationsWork across varied business contexts, quickly understanding requirements and adapting AI approaches accordinglyEvaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future deliveryEngage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearlyApply security, data protection and AI safety principles across all delivered solutionsEssential Skills for the AI Engineer:Strong experience with Python plus JavaScriptHands-on experience with AI-assisted development toolsExperience building RESTful APIs using frameworks such as Flask or DjangoStrong SQL capability including PostgreSQL or MySQL plus experience with vector databasesExperience working with microservices or serverless architecturesPractical exposure to machine learning plus generative AI models including LLMs SLMs vision modelsFamiliarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworksHands-on cloud experience within Azure or AWS plus CI/CD tooling and GitDesirable Skills for the AI Engineer:Experience using Pandas NumPy or PyTorchExposure to NodeJS VueJS or equivalent frontend technologiesIf you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation.The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability.Responsibilities for the AI Ops Engineer:Design, build and operate deployment pipelines for AI models, prompts and supporting artefactsOwn lifecycle management including versioning, promotion, rollback and retirement of AI solutionsImplement monitoring and observability covering performance, usage, drift and data qualityEnsure AI systems meet security, compliance and governance requirementsOptimise inference performance, scalability and cost efficiencyManage infrastructure supporting training and inference including cloud platforms, containers and GPU resourcesEnable reproducibility through experiment tracking and artefact managementSupport incident response, root-cause analysis and resolution of AI-related failuresCollaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructureDevelop and maintain CI/CD pipelines for machine learning workloadsMaintain standards for version control, testing and technical documentationWork with cross-functional teams to integrate AI solutions into existing platforms and workflowsStay current with advancements in MLOps, DevOps and AI operations, driving continuous improvementEssential Skills for the AI Ops Engineer:Strong experience operating machine learning or AI systems in production environmentsHands-on experience with CI/CD pipelines for data or ML workloadsExperience managing cloud-based infrastructure for AI workloadsSolid understanding of monitoring, observability and operational resilienceStrong collaboration skills with the ability to work across engineering and data teamsExperience supporting secure, compliant and well-governed systemsDesirable Skills for the AI Ops Engineer:Experience integrating Python-based services with modern front-end frameworksFamiliarity with MLOps practices for deploying, monitoring and managing AI systemsExposure to large-scale enterprise data environments or knowledge management systemsUnderstanding of Agile delivery practices and collaborative toolingKnowledge of data security, compliance and responsible AI principlesDomain exposure within engineering or manufacturing environmentsIf you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance. AI, Artificial Intelligence

Service Architect - 12 months - SC Cleared - LondonRate: £700 per dayIR35: InsideLocation: London / HybridThe role:A leading Government Institution are seeking a Service Architect (SC Cleared), to undertake an initial 12-month engagement.Producing detailed service designs, you will lead on projects of work, acting as an SME and ensuring the design meets user and wider programme needs.Experience requirements:Demonstrated strength in process, technical, and team leadership, with a drive to produce high-quality designs and foster a culture focused on technical excellence and creative problem solving.Proven ability to work across complex technology environments, collaborating with third-party vendors (including supporting procurement activities) as well as internal and cross-government stakeholders.Track record of leading the delivery of complex service solutions within agreed timelines, budgets, and quality standards, ensuring outcomes are stable, resilient, fully tested, and well documented.Experience identifying emerging technology trends and advising on how future developments may benefit products or services.Strong communication skills, with the ability to tailor messages, formats, and channels to suit a wide range of users and stakeholders.ITIL certified.Foundation-level project management knowledge in a recognised methodology (e.g., PRINCE2, Agile, Lean).If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Senior Interaction Designer - £700pd - Manchester - ContractRate: £700 per dayIR35: InsideDuration: 12 monthsLocation: Remote/ManchesterThe role:A leading Central Government Department are seeking a Senior Interaction Designer, to undertake an initial 12-month contract - hybrid, up to 3 days a week on-site in Manchester.Skills & Experience:Demonstrate best practice: in user centred design, for digital and non-digital interactionsWork with User Researchers to plan and develop research activities that help teams to better understand users.Experience working in multi-disciplinary agile teams, including (UR, Content, Service Design, Product, Engineering).Lead evidence?based design and identify gaps in user or service understanding.Use a variety of prototyping tools and methodologies, guide others on best practice.Communicate design ideas clearly and facilitate discussions.Champion inclusive design and meet WCAG 2.1 AA accessibility standards.Work in the open and contribute to improving collaboration and team practices.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further

Senior IT Support EngineerSalary: up to £45,000 + Bonus + BenefitsLocation: onsite in Milton KeynesWorking Hours: 40 hour working weekContract: Permanent An industry-leading business is looking to hire a Senior IT Support Engineer as they look to expand their support team. The Senior IT Support Engineer will be joining a business which is always investing in the latest technology and will be given the opportunity to increase their responsibilities and team beneath them.In the role of Senior IT Support Engineer, you will be supporting individuals across all levels of the business over the phone, remotely or face to face. The Senior IT Support Engineer will also get the chance to work on an array of projects including but not limited to; conditional access rollouts, hardware upgrades and refreshes and implementing new technology/equipment.Furthermore, the Senior IT Support Engineer will be given the opportunity to grow and develop their career in other areas of IT, progressing to an Infrastructure or Modern Workplace Engineer or even becoming a Team Leader/Manager.Responsibilities for the Senior IT Support Engineer:Deliver projects - conditional access rollouts, hardware upgrades and refreshes, application and operating system patching, implementing new technology/equipment and moreFocus on resolving 2nd line tickets but willing to resolve 1st and 3rd line issues when requiredPerform system administration tasksSupport individuals across all levels in the businessProvide support over the phone, remotely or face to faceMentor and give guidance to junior EngineersImplement and support IT security controlsCreate and update documentationProvide out of hours and weekend support where requiredEssential Skills for the Senior IT Support Engineer:Coached/mentored staff in the past or led a projectAzure - onboard devices & group policies for Azure AD/On-premM365 - creating policies, conditional accessIntune - policy managementWindows 10 or 11Networking (DHCP/DNS, TCP/IP) - troubleshootingCreate and update documentationSoft skills - strong communicator, team player, can do attitude, willing to muck in and do what is required, fast learner, take responsibility & independentDesirable Skills for the Senior IT Support Engineer:Experience with - Lenovo hardware, Endpoint controls (firewalls, BitLocker, MS Defender) or PowerShellAny relevant qualificationsPast experience working in an MSPIf you are interested in the Senior IT Support Engineer vacancy which will provide training, project exposure and the chance to progress within this globally renowned business, please apply in the immediate instance. Senior IT Engineer, Senior IT Support Engineer, 2nd/3rd Line Engineer

Job title: 1st / 2nd Line Support Engineer Location: Aldgate Salary: £30,000 to £35,000 + Bonus + Benefits Start date: ASAP Working hours: 8:00am to 4:00pm A globally renowned Insurance firm are looking for an 1st / 2nd Line Support Engineer to provide white glove support their growing user base. The 1st / 2nd Line Support Engineer will have the chance to progress their career and work their way up the ladder within the organisation due to their progression opportunities. They are seeking someone who has a can-do attitude, excellent communication skills and is passionate about IT. The 1st / 2nd Line Support Engineer will receive training and annual performance reviews. Essential skills - 1st / 2nd Line Support Engineer: Active DirectoryMS TeamsMobile Device supportImaging laptopsHardware SupportTicketing system experienceWilling to learnTroubleshooting mindsetExcellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: AzureIntuneServiceNowCertificationsProfessional services experience If you are keen to progress and work your way up the ladder within an organisation then please apply with a copy of your most up to date CV.IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst

Job title: 2nd Line Support Engineer Salary: £37,000 - £42,000 + Benefits Location: City of London Working Hours: 9:00am - 5:30pm Working style: Fully Onsite Start date: ASAPWe are currently partnering with a rapidly growing Managed Service Provider at an exciting stage of their journey. Due to continued growth, they are looking to bring on an experienced 2nd Line Support Engineer to play a key role in delivering exceptional IT support to a diverse client base.As a 2nd Line Support Engineer, you will act as a key point of contact for clients, providing high-quality technical support and guidance across the service desk while also serving as the technical escalation point for 1st Line Engineers. The 2nd Line Support Engineer will be joining a close-knit, supportive team within an MSP that invests in its people. Internal progression is actively encouraged, with structured training, exposure to modern technologies and clear pathways into senior engineering roles.Essential skills - 2nd Line Support EngineerEntra ID & Active DirectoryGPO's & Conditional access policiesOffice 365ExchangeIntuneKnowledge of backups, cyber security, firewallsMSP experienceStrong written and verbal communication skillsDesirable Skills - 2nd Line Support EngineerNetworking - DNS, DHCP, VPN, VLANRelevant certificationsProject Experience This is an excellent opportunity to develop your career within a rapidly growing organisation. If this sounds like the right next step for you, please apply with your most up to date CV. IT Support Engineer, 2nd Line Engineer, Service Desk Engineer, Service Desk Analyst, Helpdesk Engineer, Service Desk, 2nd Line Support Engineer

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

Lead Knowledge Graph Engineer / Ontology Engineer - ContractDuration: 6 months (extendable)Rate: £600 per dayIR35: OutsideLocation: Remote with occasional travel to siteThe Role:A leading Regulatory Tech company is seeking a Contract Lead Knowledge Graph Engineer / Ontology Engineer, to support a range of initiatives throughout 2026.In this role, you will have the opportunity to:Harness W3C semantic standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious.Apply modern NLP/NLU techniques, from topic modelling to cutting?edge entity and relation extraction, plus concise text summarisation.Experience Requirements:Core semantic / graph techW3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL, SPARQL for modelling, validation and querying.Graph databases and platforms: GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, ArangoDB or similar RDF/LPG stores.Ontology and knowledge?graph frameworks, reasoning tools, and production deployment experience.Data pipelines and entity workETL/streaming or CDC pipelines feeding a knowledge graph.Entity resolution techniques, data cleansing, enrichment, and integration from many sources.Python + ML / NLP stackHigh quality production code in Python.Libraries such as NetworkX, TensorFlow or PyTorch, NLTK, spaCy, Hugging Face, BERT, Pandas, NumPy, scikit?learn.Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection.NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution.Visualization and communicationGraph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot, etc.Ability to translate complex graph or AI concepts to varied audiences.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Artificial Intelligence Architect Salary: Up to £100,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally renowned organisation is seeking an Artificial Intelligence Architect to lead the design and delivery of advanced AI solutions across complex enterprise environments. This is a senior, client-facing role combining deep technical expertise with strategic advisory, focused on Generative and Agentic AI, solution architecture and transformation-led outcomes.The role is suited to an experienced AI leader who can operate at both strategic and hands-on levels, shaping AI platforms, guiding stakeholders and delivering scalable, production-grade solutions.Responsibilities for the Artificial Intelligence Architect:Partner with commercial and delivery teams to qualify opportunities, shape proposals and build compelling business casesAct as a trusted advisor during discovery sessions, workshops and bid processesTranslate business requirements into enterprise-grade Data and AI architecturesDesign and architect Generative AI and Agentic AI solutions for operational support, monitoring and business workflowsLead complex AI implementations, ensuring solutions deliver measurable valueEvaluate and select appropriate models, frameworks, orchestration tools and platformsArchitect and scale LLM-powered applications including chatbots and agent-based systemsProduce thought leadership content and contribute to go-to-market propositionsMaintain strong awareness of emerging technologies and the competitive AI landscapeCollaborate closely with data science, engineering and business teams to design robust end-to-end solutionsContribute to account strategy, aligning technical delivery with business prioritiesDrive productivity improvements and cost optimisation through intelligent automationEssential Skills for the Artificial Intelligence Architect:Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automationStrong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOpsExperience delivering enterprise-scale RAG solutions using LLMs and vector databasesAbility to design AI platforms that integrate with existing enterprise technology stacksHands-on experience with core GenAI frameworks and agent-based AI conceptsStrong deployment experience on at least one major cloud platform including AI and ML servicesSolid software engineering foundation for building scalable, maintainable AI systemsAdvanced Python expertise with AI and ML frameworksExperience with MLOps and LLMOps tooling including containerisation and orchestration platformsProven experience delivering applications using state-of-the-art LLMs including prompt design, fine-tuning and evaluationStrong understanding of advanced agent architectures, reasoning systems and evaluation methodologiesExcellent stakeholder engagement and consulting capabilityExperience leading and mentoring teams of AI or software engineersIf you are an experienced AI Architect looking to shape enterprise AI strategy and deliver cutting-edge solutions within a high-impact environment, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per week - Full timeA globally renowned organisation is seeking an AI Engineer to join a forward-looking innovation function focused on rapid experimentation, applied artificial intelligence and real-world delivery. This role offers the opportunity to design, build and demonstrate AI solutions that address complex business challenges across multiple domains.The position is well suited to a hands-on engineer who enjoys fast-paced environments, collaborative problem-solving and working across the full lifecycle from concept through to demonstrable outcomes.Responsibilities for the AI Engineer:Design and deliver AI-powered proof-of-concept solutions, MVPs and prototype demonstrations within short innovation cyclesLead technical delivery during workshops, discovery sessions and innovation sprintsBuild and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based modelsDevelop lightweight APIs within serverless or PaaS environments to support rapid integration and demonstrationsWork across varied business contexts, quickly understanding requirements and adapting AI approaches accordinglyEvaluate emerging AI tools frameworks methodologies plus create reusable components to accelerate future deliveryEngage directly with stakeholders to gather requirements, present findings and explain technical outcomes clearlyApply security, data protection and AI safety principles across all delivered solutionsEssential Skills for the AI Engineer:Strong experience with Python plus JavaScriptHands-on experience with AI-assisted development toolsExperience building RESTful APIs using frameworks such as Flask or DjangoStrong SQL capability including PostgreSQL or MySQL plus experience with vector databasesExperience working with microservices or serverless architecturesPractical exposure to machine learning plus generative AI models including LLMs SLMs vision modelsFamiliarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworksHands-on cloud experience within Azure or AWS plus CI/CD tooling and GitDesirable Skills for the AI Engineer:Experience using Pandas NumPy or PyTorchExposure to NodeJS VueJS or equivalent frontend technologiesIf you are an AI Engineer with strong hands-on capability and a passion for applying modern AI technologies to real business challenges, please apply in the immediate instance. AI, Artificial Intelligence

AI Engineer Salary: Up to £80,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

AI Ops Engineer Salary: Up to £85,000 Location: Hybrid - 3 days per week onsite in Derby Working Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Ops Engineer to join a growing AI and data function, taking ownership of the operational backbone that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation.The AI Ops Engineer position is well suited to an engineer who enjoys building resilient platforms, improving operational maturity and working closely with data scientists and software engineers to deliver production-grade AI capability.Responsibilities for the AI Ops Engineer:Design, build and operate deployment pipelines for AI models, prompts and supporting artefactsOwn lifecycle management including versioning, promotion, rollback and retirement of AI solutionsImplement monitoring and observability covering performance, usage, drift and data qualityEnsure AI systems meet security, compliance and governance requirementsOptimise inference performance, scalability and cost efficiencyManage infrastructure supporting training and inference including cloud platforms, containers and GPU resourcesEnable reproducibility through experiment tracking and artefact managementSupport incident response, root-cause analysis and resolution of AI-related failuresCollaborate with data scientists and software engineers to design scalable, reliable machine learning infrastructureDevelop and maintain CI/CD pipelines for machine learning workloadsMaintain standards for version control, testing and technical documentationWork with cross-functional teams to integrate AI solutions into existing platforms and workflowsStay current with advancements in MLOps, DevOps and AI operations, driving continuous improvementEssential Skills for the AI Ops Engineer:Strong experience operating machine learning or AI systems in production environmentsHands-on experience with CI/CD pipelines for data or ML workloadsExperience managing cloud-based infrastructure for AI workloadsSolid understanding of monitoring, observability and operational resilienceStrong collaboration skills with the ability to work across engineering and data teamsExperience supporting secure, compliant and well-governed systemsDesirable Skills for the AI Ops Engineer:Experience integrating Python-based services with modern front-end frameworksFamiliarity with MLOps practices for deploying, monitoring and managing AI systemsExposure to large-scale enterprise data environments or knowledge management systemsUnderstanding of Agile delivery practices and collaborative toolingKnowledge of data security, compliance and responsible AI principlesDomain exposure within engineering or manufacturing environmentsIf you are an AI Ops Engineer looking to take ownership of AI operations within a complex, production-focused environment, please apply in the immediate instance. AI, Artificial Intelligence

Service Architect - 12 months - SC Cleared - LondonRate: £700 per dayIR35: InsideLocation: London / HybridThe role:A leading Government Institution are seeking a Service Architect (SC Cleared), to undertake an initial 12-month engagement.Producing detailed service designs, you will lead on projects of work, acting as an SME and ensuring the design meets user and wider programme needs.Experience requirements:Demonstrated strength in process, technical, and team leadership, with a drive to produce high-quality designs and foster a culture focused on technical excellence and creative problem solving.Proven ability to work across complex technology environments, collaborating with third-party vendors (including supporting procurement activities) as well as internal and cross-government stakeholders.Track record of leading the delivery of complex service solutions within agreed timelines, budgets, and quality standards, ensuring outcomes are stable, resilient, fully tested, and well documented.Experience identifying emerging technology trends and advising on how future developments may benefit products or services.Strong communication skills, with the ability to tailor messages, formats, and channels to suit a wide range of users and stakeholders.ITIL certified.Foundation-level project management knowledge in a recognised methodology (e.g., PRINCE2, Agile, Lean).If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Senior Interaction Designer - £700pd - Manchester - ContractRate: £700 per dayIR35: InsideDuration: 12 monthsLocation: Remote/ManchesterThe role:A leading Central Government Department are seeking a Senior Interaction Designer, to undertake an initial 12-month contract - hybrid, up to 3 days a week on-site in Manchester.Skills & Experience:Demonstrate best practice: in user centred design, for digital and non-digital interactionsWork with User Researchers to plan and develop research activities that help teams to better understand users.Experience working in multi-disciplinary agile teams, including (UR, Content, Service Design, Product, Engineering).Lead evidence?based design and identify gaps in user or service understanding.Use a variety of prototyping tools and methodologies, guide others on best practice.Communicate design ideas clearly and facilitate discussions.Champion inclusive design and meet WCAG 2.1 AA accessibility standards.Work in the open and contribute to improving collaboration and team practices.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further

Senior IT Support EngineerSalary: up to £45,000 + Bonus + BenefitsLocation: onsite in Milton KeynesWorking Hours: 40 hour working weekContract: Permanent An industry-leading business is looking to hire a Senior IT Support Engineer as they look to expand their support team. The Senior IT Support Engineer will be joining a business which is always investing in the latest technology and will be given the opportunity to increase their responsibilities and team beneath them.In the role of Senior IT Support Engineer, you will be supporting individuals across all levels of the business over the phone, remotely or face to face. The Senior IT Support Engineer will also get the chance to work on an array of projects including but not limited to; conditional access rollouts, hardware upgrades and refreshes and implementing new technology/equipment.Furthermore, the Senior IT Support Engineer will be given the opportunity to grow and develop their career in other areas of IT, progressing to an Infrastructure or Modern Workplace Engineer or even becoming a Team Leader/Manager.Responsibilities for the Senior IT Support Engineer:Deliver projects - conditional access rollouts, hardware upgrades and refreshes, application and operating system patching, implementing new technology/equipment and moreFocus on resolving 2nd line tickets but willing to resolve 1st and 3rd line issues when requiredPerform system administration tasksSupport individuals across all levels in the businessProvide support over the phone, remotely or face to faceMentor and give guidance to junior EngineersImplement and support IT security controlsCreate and update documentationProvide out of hours and weekend support where requiredEssential Skills for the Senior IT Support Engineer:Coached/mentored staff in the past or led a projectAzure - onboard devices & group policies for Azure AD/On-premM365 - creating policies, conditional accessIntune - policy managementWindows 10 or 11Networking (DHCP/DNS, TCP/IP) - troubleshootingCreate and update documentationSoft skills - strong communicator, team player, can do attitude, willing to muck in and do what is required, fast learner, take responsibility & independentDesirable Skills for the Senior IT Support Engineer:Experience with - Lenovo hardware, Endpoint controls (firewalls, BitLocker, MS Defender) or PowerShellAny relevant qualificationsPast experience working in an MSPIf you are interested in the Senior IT Support Engineer vacancy which will provide training, project exposure and the chance to progress within this globally renowned business, please apply in the immediate instance. Senior IT Engineer, Senior IT Support Engineer, 2nd/3rd Line Engineer

Job title: 1st / 2nd Line Support Engineer Location: Aldgate Salary: £30,000 to £35,000 + Bonus + Benefits Start date: ASAP Working hours: 8:00am to 4:00pm A globally renowned Insurance firm are looking for an 1st / 2nd Line Support Engineer to provide white glove support their growing user base. The 1st / 2nd Line Support Engineer will have the chance to progress their career and work their way up the ladder within the organisation due to their progression opportunities. They are seeking someone who has a can-do attitude, excellent communication skills and is passionate about IT. The 1st / 2nd Line Support Engineer will receive training and annual performance reviews. Essential skills - 1st / 2nd Line Support Engineer: Active DirectoryMS TeamsMobile Device supportImaging laptopsHardware SupportTicketing system experienceWilling to learnTroubleshooting mindsetExcellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: AzureIntuneServiceNowCertificationsProfessional services experience If you are keen to progress and work your way up the ladder within an organisation then please apply with a copy of your most up to date CV.IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst

Job title: 2nd Line Support Engineer Salary: £37,000 - £42,000 + Benefits Location: City of London Working Hours: 9:00am - 5:30pm Working style: Fully Onsite Start date: ASAPWe are currently partnering with a rapidly growing Managed Service Provider at an exciting stage of their journey. Due to continued growth, they are looking to bring on an experienced 2nd Line Support Engineer to play a key role in delivering exceptional IT support to a diverse client base.As a 2nd Line Support Engineer, you will act as a key point of contact for clients, providing high-quality technical support and guidance across the service desk while also serving as the technical escalation point for 1st Line Engineers. The 2nd Line Support Engineer will be joining a close-knit, supportive team within an MSP that invests in its people. Internal progression is actively encouraged, with structured training, exposure to modern technologies and clear pathways into senior engineering roles.Essential skills - 2nd Line Support EngineerEntra ID & Active DirectoryGPO's & Conditional access policiesOffice 365ExchangeIntuneKnowledge of backups, cyber security, firewallsMSP experienceStrong written and verbal communication skillsDesirable Skills - 2nd Line Support EngineerNetworking - DNS, DHCP, VPN, VLANRelevant certificationsProject Experience This is an excellent opportunity to develop your career within a rapidly growing organisation. If this sounds like the right next step for you, please apply with your most up to date CV. IT Support Engineer, 2nd Line Engineer, Service Desk Engineer, Service Desk Analyst, Helpdesk Engineer, Service Desk, 2nd Line Support Engineer

We have partnered with a product-led organisation building large-scale, production-grade machine learning systems.This is a Principal ML Engineer role for someone who wants to set technical direction, solve hard problems and influence how ML is built and deployed across the business.You will be hands-on where it matters, while also shaping architecture, standards and best practices for ML at scale.About the role:Define and evolve the organisation's machine learning architecture and technical standardsLead the design and deployment of scalable ML pipelines and inference systemsOwn the reliability, performance, and observability of models running in productionPartner closely with data science, engineering, and product leaders on high-impact ML initiativesGuide and mentor senior engineers and data scientists on ML engineering best practicesDrive adoption of modern ML and applied AI techniques where they create real valueAbout you:Deep experience building production ML systems using Python and modern ML frameworks such as PyTorch or TensorFlowStrong background in classical ML (scikit-learn, gradient boosting) and feature engineering at scaleProven experience working with large datasets using Pandas or Polars and distributed processing frameworks like Spark or PySparkHands-on experience deploying models using Docker, APIs (for example FastAPI) and cloud-native infrastructureStrong MLOps experience including experiment tracking, model versioning, monitoring and drift detection using tools such as MLflow or Weights & BiasesExperience orchestrating ML workflows with Airflow, Prefect or DagsterSolid cloud experience across AWS, GCP, or Azure, including scalable compute and managed ML servicesPractical exposure to modern applied AI, including embeddings, vector search and retrieval-augmented generationComfortable setting technical direction, making trade-offs and owning ML outcomes in production

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.About the role:Design and build end-to-end data science solutions, from problem framing to production deploymentWork with large, messy, real-world datasets and turn them into models that influence product and business decisionsDevelop and iterate on machine learning models including predictive, probabilistic and optimisation-based approachesExperiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevantPartner closely with engineers and product teams to productionise models and measure real impactOwn experimentation, validation, and monitoring to ensure models perform in live environments About you:4-6 years of experience in data science or applied machine learning rolesStrong grounding in statistics, experimentation and model evaluation, not just model buildingHands-on experience with Python and common data science librariesComfortable working across the full lifecycle from exploration to deploymentExperience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plusCurious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal dataAble to communicate complex ideas clearly to non-technical stakeholders

Lead Knowledge Graph Engineer / Ontology Engineer - ContractDuration: 6 months (extendable)Rate: £600 per dayIR35: OutsideLocation: Remote with occasional travel to siteThe Role:A leading Regulatory Tech company is seeking a Contract Lead Knowledge Graph Engineer / Ontology Engineer, to support a range of initiatives throughout 2026.In this role, you will have the opportunity to:Harness W3C semantic standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious.Apply modern NLP/NLU techniques, from topic modelling to cutting?edge entity and relation extraction, plus concise text summarisation.Experience Requirements:Core semantic / graph techW3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL, SPARQL for modelling, validation and querying.Graph databases and platforms: GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, ArangoDB or similar RDF/LPG stores.Ontology and knowledge?graph frameworks, reasoning tools, and production deployment experience.Data pipelines and entity workETL/streaming or CDC pipelines feeding a knowledge graph.Entity resolution techniques, data cleansing, enrichment, and integration from many sources.Python + ML / NLP stackHigh quality production code in Python.Libraries such as NetworkX, TensorFlow or PyTorch, NLTK, spaCy, Hugging Face, BERT, Pandas, NumPy, scikit?learn.Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection.NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution.Visualization and communicationGraph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot, etc.Ability to translate complex graph or AI concepts to varied audiences.If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.