Software Engineering

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

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

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.

Full Stack - Python Developer - Remote - £700 per dayIR35: InsideLocation: Remote, with occasional on-site meetingsRate: £700 per dayThe role:A leading Government Department are seeking a Full-Stack Python Developer, to design and build both the backend and frontend of an AI-powered Personally Identifiable Information (PII) redaction Minimum Viable Product (MVP).This is an initial 6-month contract, Inside IR35 @ £700 per day.Experience Requirements:Expert knowledge of Python, including front-end technologies such as CSS/HTML and frameworks such as react and angular.Expert knowledge of the relational model and database applications.Collaboration with internal teams to design, create and maintain software.Experienced in working with Agile methodologies, managing tasks and delivering the core functionality of an MVP in fortnightly sprints to validate product concepts.Experience of containerisation.Creating documentation throughout the software. development life cycle (SDLC).Working on pre-existing codebasesImproving the resilience and stability of software.Applying practices to enable continuous delivery.Desirable - experience of designing software that allows users to view and interact with documents (PDF, Word) or images.Desirable - experience of working with cloud-based platforms such as AWS If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

Full-Stack DeveloperSalary: If London - up to £58,000 + BenefitsSalary: if other locations - up to £53,500Location: 2 days per week in either London, Liverpool, Manchester, Cardiff or EdinburghWorking Hours: 35 hours per weekContract: PermanentAn established and forward-thinking organisation within the public sector is seeking a Full-Stack Developer to design and deliver innovative, high-quality web solutions that enhance digital impact and user experience across multiple platforms.Responsibilities for the Full-Stack Developer:Design and implement robust front-end and back-end solutions to ensure a consistent and engaging user experience across all digital channelsCollaborate with cross-functional teams to translate technical requirements into effective web solutions, maintaining scalability and reliabilityDevelop and maintain modules, APIs, and integrations to optimise website functionality and performanceChampion accessibility and mobile-first design principles across all projects, ensuring compliance with modern standards and best practicesDrive innovation by researching emerging technologies and recommending improvements that enhance user experience and platform performanceSupport continuous integration, version control, and deployment strategies to maintain high-quality releasesEngage with internal stakeholders to provide clear technical insights and deliver functional prototypes demonstrating proposed solutionsEssential Skills for the Full-Stack Developer:HTMLCSSJavaScriptCMS developmentGood written and verbal communication skillsDesirable Skills for the Full-Stack Developer:DrupalSymfonyE-commerceAny photoshop, editing or designing experienceIf you are an experienced Full-Stack Developer looking to take ownership of impactful digital projects, contribute to meaningful user experiences and work within a collaborative and values-driven environment, please apply in the immediate instance. Fullstack Developer, Full-stack Developer, Fullstack Programmer, Full-Stack Programmer

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

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

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.

Full Stack - Python Developer - Remote - £700 per dayIR35: InsideLocation: Remote, with occasional on-site meetingsRate: £700 per dayThe role:A leading Government Department are seeking a Full-Stack Python Developer, to design and build both the backend and frontend of an AI-powered Personally Identifiable Information (PII) redaction Minimum Viable Product (MVP).This is an initial 6-month contract, Inside IR35 @ £700 per day.Experience Requirements:Expert knowledge of Python, including front-end technologies such as CSS/HTML and frameworks such as react and angular.Expert knowledge of the relational model and database applications.Collaboration with internal teams to design, create and maintain software.Experienced in working with Agile methodologies, managing tasks and delivering the core functionality of an MVP in fortnightly sprints to validate product concepts.Experience of containerisation.Creating documentation throughout the software. development life cycle (SDLC).Working on pre-existing codebasesImproving the resilience and stability of software.Applying practices to enable continuous delivery.Desirable - experience of designing software that allows users to view and interact with documents (PDF, Word) or images.Desirable - experience of working with cloud-based platforms such as AWS If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

AI/ Machine Learning Engineer (NLP / LLM) - ContractDuration: 6 monthsRate: Up to £500 per dayIR35: OutsideLocation: Fully Remote (occasional ad-hoc travel to office)The Role:A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer / Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability.Experience Requirements:Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch.Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5).Solid background in data science and machine learning, including model development, training, evaluation, and deployment.Experience building and deploying chatbots or conversational AI systems.Knowledge of MLOps tools and pipelines for model versioning and deployment.If you are available and interested in a 6-month Outside IR35 contract, please apply in the first instance and you will be contacted to discuss the position further.

Full-Stack DeveloperSalary: If London - up to £58,000 + BenefitsSalary: if other locations - up to £53,500Location: 2 days per week in either London, Liverpool, Manchester, Cardiff or EdinburghWorking Hours: 35 hours per weekContract: PermanentAn established and forward-thinking organisation within the public sector is seeking a Full-Stack Developer to design and deliver innovative, high-quality web solutions that enhance digital impact and user experience across multiple platforms.Responsibilities for the Full-Stack Developer:Design and implement robust front-end and back-end solutions to ensure a consistent and engaging user experience across all digital channelsCollaborate with cross-functional teams to translate technical requirements into effective web solutions, maintaining scalability and reliabilityDevelop and maintain modules, APIs, and integrations to optimise website functionality and performanceChampion accessibility and mobile-first design principles across all projects, ensuring compliance with modern standards and best practicesDrive innovation by researching emerging technologies and recommending improvements that enhance user experience and platform performanceSupport continuous integration, version control, and deployment strategies to maintain high-quality releasesEngage with internal stakeholders to provide clear technical insights and deliver functional prototypes demonstrating proposed solutionsEssential Skills for the Full-Stack Developer:HTMLCSSJavaScriptCMS developmentGood written and verbal communication skillsDesirable Skills for the Full-Stack Developer:DrupalSymfonyE-commerceAny photoshop, editing or designing experienceIf you are an experienced Full-Stack Developer looking to take ownership of impactful digital projects, contribute to meaningful user experiences and work within a collaborative and values-driven environment, please apply in the immediate instance. Fullstack Developer, Full-stack Developer, Fullstack Programmer, Full-Stack Programmer