Service Desk Manager - up to £32,000 - Gateshead (Hybrid)

We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.About the role:Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements About you:Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs

We have partnered with a fast-growing, product-led technology company that is building a complex, high-traffic platform and is now looking to hire a Staff Software Engineer. This role sits at the highest individual contributor level and is designed for someone who wants deep technical impact without moving into people management.This is a key hire for the business. You will work on the hardest technical problems, influence architecture and engineering standards, and act as a technical reference point for the wider team as the company continues to scale.About the role:Own and solve complex, high-impact technical challenges across the core platformDrive architectural decisions across distributed, cloud-based systemsWork in a backend environment primarily built using Python and Go, with services designed around scalability, performance, and clear ownership boundariesDesign and evolve APIs, microservices, and event-driven services used across the platformContribute to system design around performance, reliability, security, and observabilityPartner closely with Engineering Managers and Product to shape pragmatic technical solutionsSet engineering standards around code quality, testing, and operational excellenceLead by example through hands-on contribution to critical parts of the codebaseMentor senior and mid-level engineers through design reviews and technical guidance About you:Strong experience as a Senior or Staff Engineer in a product-led or startup environmentDeep understanding of modern backend systems and distributed architecturesHands-on experience with Python and/or Go in production environmentsComfortable working with cloud platforms, containerisation, and CI/CD pipelinesExperience designing and operating systems used at scalePragmatic mindset with a strong focus on maintainability and real-world delivery

We have partnered with a product-led technology company that is scaling its engineering function and is now hiring an Engineering Manager to lead a high-performing team. This is a hands-on leadership role for someone who enjoys building teams, improving delivery, and staying close to technical decisions while working on meaningful, customer-facing products.You will play a key role in shaping how the engineering team operates as the company grows, working closely with Product and Design to ship high-quality features at pace without sacrificing code quality or team culture.About the role:Lead a cross-functional product engineering team responsible for building and evolving core customer-facing featuresOwn sprint planning, prioritisation, and delivery, ensuring predictable execution and clear accountabilityPartner closely with Product to shape technical approaches, break down complex initiatives, and sequence work effectivelyRaise the bar on code quality, testing, and engineering standards through reviews, tooling, and best practicesIdentify delivery bottlenecks and actively improve team velocity, collaboration, and ways of workingContribute to architectural discussions, technical trade-offs, and longer-term platform decisionsSupport hiring, onboarding, and development of engineers as the team scales About you:Proven experience as an Engineering Manager or Senior Engineer who has moved into people leadershipStrong background in modern product-led engineering environmentsComfortable balancing people management with technical oversightExperience working closely with product teams in fast-moving environmentsClear communicator who can align engineers, product, and stakeholders

Job title: 1st / 2nd Line Support EngineerLocation: Chessington - Fully OnsiteSalary: £30,000 to £40,000 + BenefitsStart date: ASAPWorking hours: 9:00am to 5:30pm and 8:30am to 5:00pmWe are working with a growing Managed Service Provider seeking a motivated 1st / 2nd Line Support Engineer to support their expanding client base. This role will involve a mix of BAU support and project-based work, offering excellent variety and development opportunities. The 1st / 2nd Line Support Engineer will have a proactive, can-do attitude, strong communication skills and a genuine passion for IT. They are looking for someone eager to learn, develop their technical expertise and progress within the business. The 1st / 2nd Line Support Engineer will receive bespoke training, funded training courses and ongoing support, along with clear opportunities to take on greater responsibility and progress both professionally and financially. Essential skills - 1st / 2nd Line Support Engineer: Active Directory & Entra IDOffice 365 - MS Teams, SharePoint, ExchangeHardware Support - Break fix and printer set upsKnowledge of networking principles - DNS, DHCP, VPNKnowledge on FirewallKnowledge on backupsDrivers licenseWilling to learnTroubleshooting mindsetExcellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: Group PoliciesConfigured Firewalls and switchesIntuneCertificationsMSP Experience If you're an ambitious 1st / 2nd Line Support Engineer eager to grow your skills and progress within a supportive and expanding MSP environment, apply today with your latest CV to be considered. IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst

AI Solutions Architect (Innovation & GenAI) Salary: Up to £120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value.The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions.Responsibilities for the AI Solutions Architect:Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-awareProvide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real timeDevelop and maintain reusable reference architectures, patterns and templates to accelerate AI solution deliveryEvaluate emerging AI tools, platforms and services, making informed build-versus-buy decisionsDesign cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalabilityDefine lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIsEstablish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible useDesign AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisionsMentor engineers and developers through architectural guidance, reviews and best-practice sharingBuild architectural knowledge across multiple domains to support diverse use cases and enterprise contextsAlign solutions with established enterprise standards and architectural principlesEssential Skills for the AI Solutions Architect:Strong expertise in Python and JavaScriptHands-on experience with backend frameworks and modern frontend frameworksDeep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patternsStrong experience working with vector databases and AI-specific data storesSolid understanding of AI and ML models, LLMs and generative AI architecturesExperience implementing governance frameworks for model selection, deployment and lifecycle managementHands-on experience with AI-assisted development toolsStrong knowledge of cloud AI and ML platforms and associated architecture patternsExperience designing and managing APIs including REST and GraphQLStrong understanding of microservices and serverless architecturesPractical experience with DevOps and MLOps practices including CI/CD pipelinesKnowledge of security frameworks, identity management and authentication standardsDesirable Skills for the AI Solutions Architect:Experience with enterprise integration patterns and event-driven architecturesExposure to data engineering and data platform architecturesExperience with Infrastructure as Code toolsIf you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.

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

We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.About the role:Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements About you:Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs

We have partnered with a fast-growing, product-led technology company that is building a complex, high-traffic platform and is now looking to hire a Staff Software Engineer. This role sits at the highest individual contributor level and is designed for someone who wants deep technical impact without moving into people management.This is a key hire for the business. You will work on the hardest technical problems, influence architecture and engineering standards, and act as a technical reference point for the wider team as the company continues to scale.About the role:Own and solve complex, high-impact technical challenges across the core platformDrive architectural decisions across distributed, cloud-based systemsWork in a backend environment primarily built using Python and Go, with services designed around scalability, performance, and clear ownership boundariesDesign and evolve APIs, microservices, and event-driven services used across the platformContribute to system design around performance, reliability, security, and observabilityPartner closely with Engineering Managers and Product to shape pragmatic technical solutionsSet engineering standards around code quality, testing, and operational excellenceLead by example through hands-on contribution to critical parts of the codebaseMentor senior and mid-level engineers through design reviews and technical guidance About you:Strong experience as a Senior or Staff Engineer in a product-led or startup environmentDeep understanding of modern backend systems and distributed architecturesHands-on experience with Python and/or Go in production environmentsComfortable working with cloud platforms, containerisation, and CI/CD pipelinesExperience designing and operating systems used at scalePragmatic mindset with a strong focus on maintainability and real-world delivery

We have partnered with a product-led technology company that is scaling its engineering function and is now hiring an Engineering Manager to lead a high-performing team. This is a hands-on leadership role for someone who enjoys building teams, improving delivery, and staying close to technical decisions while working on meaningful, customer-facing products.You will play a key role in shaping how the engineering team operates as the company grows, working closely with Product and Design to ship high-quality features at pace without sacrificing code quality or team culture.About the role:Lead a cross-functional product engineering team responsible for building and evolving core customer-facing featuresOwn sprint planning, prioritisation, and delivery, ensuring predictable execution and clear accountabilityPartner closely with Product to shape technical approaches, break down complex initiatives, and sequence work effectivelyRaise the bar on code quality, testing, and engineering standards through reviews, tooling, and best practicesIdentify delivery bottlenecks and actively improve team velocity, collaboration, and ways of workingContribute to architectural discussions, technical trade-offs, and longer-term platform decisionsSupport hiring, onboarding, and development of engineers as the team scales About you:Proven experience as an Engineering Manager or Senior Engineer who has moved into people leadershipStrong background in modern product-led engineering environmentsComfortable balancing people management with technical oversightExperience working closely with product teams in fast-moving environmentsClear communicator who can align engineers, product, and stakeholders

Job title: 1st / 2nd Line Support EngineerLocation: Chessington - Fully OnsiteSalary: £30,000 to £40,000 + BenefitsStart date: ASAPWorking hours: 9:00am to 5:30pm and 8:30am to 5:00pmWe are working with a growing Managed Service Provider seeking a motivated 1st / 2nd Line Support Engineer to support their expanding client base. This role will involve a mix of BAU support and project-based work, offering excellent variety and development opportunities. The 1st / 2nd Line Support Engineer will have a proactive, can-do attitude, strong communication skills and a genuine passion for IT. They are looking for someone eager to learn, develop their technical expertise and progress within the business. The 1st / 2nd Line Support Engineer will receive bespoke training, funded training courses and ongoing support, along with clear opportunities to take on greater responsibility and progress both professionally and financially. Essential skills - 1st / 2nd Line Support Engineer: Active Directory & Entra IDOffice 365 - MS Teams, SharePoint, ExchangeHardware Support - Break fix and printer set upsKnowledge of networking principles - DNS, DHCP, VPNKnowledge on FirewallKnowledge on backupsDrivers licenseWilling to learnTroubleshooting mindsetExcellent customer service skills Desirable skills - 1st / 2nd Line Support Engineer: Group PoliciesConfigured Firewalls and switchesIntuneCertificationsMSP Experience If you're an ambitious 1st / 2nd Line Support Engineer eager to grow your skills and progress within a supportive and expanding MSP environment, apply today with your latest CV to be considered. IT Support / 1st Line Support Engineer / 1st / 2nd Line Support Engineer / Helpdesk Engineer / Service Desk Engineer / Service Desk Analyst

AI Solutions Architect (Innovation & GenAI) Salary: Up to £120,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: 40 hours per weekA globally established organisation is seeking an AI Solutions Architect to lead the design of innovative, cloud-native AI architectures that support rapid experimentation while maintaining a clear path to enterprise-scale delivery. This is a senior, hands-on architecture role focused on shaping proof-of-concepts, MVPs and scalable AI platforms that deliver tangible business value.The AI Solutions Architect role is suited to an experienced architect who combines deep technical expertise with strategic thinking, enjoys working in fast-moving environments, and can guide teams from early ideation through to production-ready solutions.Responsibilities for the AI Solutions Architect:Design pragmatic, fit-for-purpose architectures for AI PoCs and MVPs that can be delivered within short innovation cycles while remaining production-awareProvide technical leadership during client workshops, discovery sessions and ideation phases, assessing feasibility in real timeDevelop and maintain reusable reference architectures, patterns and templates to accelerate AI solution deliveryEvaluate emerging AI tools, platforms and services, making informed build-versus-buy decisionsDesign cloud-native architectures using serverless and PaaS services to enable rapid deployment, cost control and scalabilityDefine lightweight integration approaches connecting AI solutions with enterprise data sources, systems and APIsEstablish security, governance and compliance standards for rapid AI development, ensuring data protection and responsible useDesign AI architectures with clear pathways to production scaling, documenting trade-offs and technical decisionsMentor engineers and developers through architectural guidance, reviews and best-practice sharingBuild architectural knowledge across multiple domains to support diverse use cases and enterprise contextsAlign solutions with established enterprise standards and architectural principlesEssential Skills for the AI Solutions Architect:Strong expertise in Python and JavaScriptHands-on experience with backend frameworks and modern frontend frameworksDeep knowledge of Generative AI and agent-based AI frameworks including RAG and orchestration patternsStrong experience working with vector databases and AI-specific data storesSolid understanding of AI and ML models, LLMs and generative AI architecturesExperience implementing governance frameworks for model selection, deployment and lifecycle managementHands-on experience with AI-assisted development toolsStrong knowledge of cloud AI and ML platforms and associated architecture patternsExperience designing and managing APIs including REST and GraphQLStrong understanding of microservices and serverless architecturesPractical experience with DevOps and MLOps practices including CI/CD pipelinesKnowledge of security frameworks, identity management and authentication standardsDesirable Skills for the AI Solutions Architect:Experience with enterprise integration patterns and event-driven architecturesExposure to data engineering and data platform architecturesExperience with Infrastructure as Code toolsIf you are an AI Solutions Architect with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance.

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