26 to 50 of 151 Artificial Intelligence Engineering Jobs in the UK

modern backend architectures. Familiarity with event-driven or microservice-based patterns is a plus. The team are also looking for someone who can bring experience or interest in AI Engineering to build intelligent services and working alongside Data Scientists to deploy scalable AI-driven features and applications. A familiarity with cloud-based AI/ML services in Snowflake … Kubernetes for containerisation and orchestration of applications. Manage deployments with Helm and configuration in YAML. Develop shell scripts and automation for deployment and operational workflows. Work with Data Engineering to integrate and manage data workflows using Apache Airflow and DAG-based models. Perform comprehensive testing, debugging, and optimization of backend components. Required Skills Bachelor's degree in Computer … Science, Software Engineering, or a related field (or equivalent practical experience). Proven experience as a Backend Engineer or a similar role, with a strong track record of designing and developing robust backend systems. Proficiency in Python and Javascript Familiarity with logging frameworks like Serilog for efficient log capturing and analysis. Experience with containerization tools like Docker and More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence … . • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. …/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence … . • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. …/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an ‘AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence … . • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: − Bachelor’s or Master’s degree in computer science/engineering/Math/Physics, plus one or more of the following: − Proficiency in programming languages such as Python, Java, or Scala. − Strong experience with SQL and database technologies (incl. …/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week More ❯

Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in … capability forward 💡 What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication More ❯

Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in … capability forward 💡 What you’ll bring: 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication More ❯

Director of AI Engineering This is a rare opportunity to lead and scale a global AI Center of Excellence at the heart of a company focused on solving some of the world's most complex cybersecurity challenges. As Director, you'll lead the development of innovative AI solutions that empower organizations to proactively detect, respond to, and prevent … will: You will set the vision and execution strategy for the AI Center of Excellence, ensuring scalable, secure, and impactful outcomes You will collaborate across functions including Product, Engineering, User Experience, Information Security, Legal and others to align AI work with company priorities You will lead end-to-end development of AI solutions, from research and prototyping to … product development from research through to production deployment Deep understanding of the AI/ML lifecycle, including model development, MLOps, experimentation, and monitoring Experience partnering closely with Product, Engineering, and executive leadership to shape strategy and influence outcomes Strong background in managing risk, prioritizing initiatives, and aligning technical work with business goals Excellent communication and storytelling skills, with More ❯

JOB TITLE: Head of Machine Learning and AI Engineering - Everyday Banking LOCATION(S): Bristol, Edinburgh or London SALARY: Depending on location. From £124,653 for non London based colleagues. From £154,369 for London based colleagues HOURS: Full time WORKING PATTERN: Hybrid, 40% (or two days) in an office site About this opportunity We're heavily investing in … brand-new role to further our ambition of using advanced technologies to drive innovation and create new experiences for our customers. As the Head of Machine Learning and AI Engineering, this position will lead and manage a team of talented engineers from various fields to supervise model development and deployment as a capability served across the end-to … development, model validation, testing, and performance monitoring. Contribute to a high performing data science function through coaching and upskilling the team on writing scalable code and good software engineering practices. About us Join us and, as well as making a difference to customers, you'll enjoy a fulfilling career where you're free to be yourself. Great colleagues More ❯

We are not accepting agency submissions for this role. Job Purpose At tiQtoQ , we're passionate about redefining engineering and AI automation. As part of our continuous evolution, we're looking for an AI Engineer to join our team. You will develop robust, scalable, and intelligent agentic systems that integrate seamlessly into software development lifecycles (SDLC). You … ll lead the charge in developing LLM-powered agents, assistants, custom tooling for developers, and AI automation frameworks. This is a hands-on role that combines software engineering, A experimentation, and AI product innovation. You'll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for operationalising high-performance, real … streamline workflows and enhance user productivity. Have a deep understanding of how these systems function under the hood and contribute to their development, scalability, reliability, and continuous improvement. AI Engineering: Build, test, and optimise generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Develop model evaluation pipelines and optimise model behaviour. Prompt Engineering More ❯

global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM solutions based … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits … productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance. Skills & Experience Proven experience delivering complex data solutions in a technical data engineering role … regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits … productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance. Skills & Experience Proven experience delivering complex data solutions in a technical data engineering role … regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits … productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering best practices and ensure adherence to standards across ingestion, transformation, storage, and governance. Skills & Experience Proven experience delivering complex data solutions in a technical data engineering role … regulated environments. Expertise in cloud data platforms and tooling (e.g., ELT/ETL frameworks, Azure, AWS, GCP). AWS is preferred Demonstrated experience in supporting AI and ML engineering workflows (e.g., integrating models, feature pipelines, operationalising ML solutions). Strong understanding of data engineering best practices, with a focus on usability, accessibility, and performance. Proficient in More ❯

Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This … generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on … Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material up to date with current Data Science/AI/ML industry trends, tools, and techniques. Support learners More ❯

Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This … generation of ML professionals, while staying engaged with all the current & latest AI technologies and best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on … Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material up to date with current Data Science/AI/ML industry trends, tools, and techniques. Support learners More ❯

About the Role: We are seeking an experienced and visionary Technical Lead with deep expertise in Java Spring Boot, microservices architecture, and solution design to lead the backend engineering efforts of our enterprise platforms. This role requires strong architectural acumen, hands-on coding capability, and a leadership mindset to guide teams across the full software development lifecycle. Exposure … to mobile application ecosystems, collaboration across cross-functional teams, and experience in the banking or financial services domain will be strong assets. You’ll work closely with engineering managers, architects, mobile teams, and product stakeholders to deliver scalable, secure, and maintainable solutions. Key Responsibilities: • Design and develop scalable, secure, and high-performance backend systems using Java, Spring Boot … issues in development and production environments. • Contribute to solutioning, estimations, and project planning in agile delivery models. Required Qualifications: • Bachelor’s or Master’s degree in computer science, Engineering, or related field. • 10+ years of professional experience in backend development, with at least 3+ years in technical leadership or solution design roles. • Strong expertise in Java, Spring Boot More ❯

About the Role: We are seeking an experienced and visionary Technical Lead with deep expertise in Java Spring Boot, microservices architecture, and solution design to lead the backend engineering efforts of our enterprise platforms. This role requires strong architectural acumen, hands-on coding capability, and a leadership mindset to guide teams across the full software development lifecycle. Exposure … to mobile application ecosystems, collaboration across cross-functional teams, and experience in the banking or financial services domain will be strong assets. You’ll work closely with engineering managers, architects, mobile teams, and product stakeholders to deliver scalable, secure, and maintainable solutions. Key Responsibilities: • Design and develop scalable, secure, and high-performance backend systems using Java, Spring Boot … issues in development and production environments. • Contribute to solutioning, estimations, and project planning in agile delivery models. Required Qualifications: • Bachelor’s or Master’s degree in computer science, Engineering, or related field. • 10+ years of professional experience in backend development, with at least 3+ years in technical leadership or solution design roles. • Strong expertise in Java, Spring Boot More ❯

About the Role: We are seeking an experienced and visionary Technical Lead with deep expertise in Java Spring Boot, microservices architecture, and solution design to lead the backend engineering efforts of our enterprise platforms. This role requires strong architectural acumen, hands-on coding capability, and a leadership mindset to guide teams across the full software development lifecycle. Exposure … to mobile application ecosystems, collaboration across cross-functional teams, and experience in the banking or financial services domain will be strong assets. You’ll work closely with engineering managers, architects, mobile teams, and product stakeholders to deliver scalable, secure, and maintainable solutions. Key Responsibilities: • Design and develop scalable, secure, and high-performance backend systems using Java, Spring Boot … issues in development and production environments. • Contribute to solutioning, estimations, and project planning in agile delivery models. Required Qualifications: • Bachelor’s or Master’s degree in computer science, Engineering, or related field. • 10+ years of professional experience in backend development, with at least 3+ years in technical leadership or solution design roles. • Strong expertise in Java, Spring Boot More ❯

About the Role: We are seeking an experienced and visionary Technical Lead with deep expertise in Java Spring Boot, microservices architecture, and solution design to lead the backend engineering efforts of our enterprise platforms. This role requires strong architectural acumen, hands-on coding capability, and a leadership mindset to guide teams across the full software development lifecycle. Exposure … to mobile application ecosystems, collaboration across cross-functional teams, and experience in the banking or financial services domain will be strong assets. You’ll work closely with engineering managers, architects, mobile teams, and product stakeholders to deliver scalable, secure, and maintainable solutions. Key Responsibilities: • Design and develop scalable, secure, and high-performance backend systems using Java, Spring Boot … issues in development and production environments. • Contribute to solutioning, estimations, and project planning in agile delivery models. Required Qualifications: • Bachelor’s or Master’s degree in computer science, Engineering, or related field. • 10+ years of professional experience in backend development, with at least 3+ years in technical leadership or solution design roles. • Strong expertise in Java, Spring Boot More ❯

Prolific, you'll build cutting-edge AI systems that enable leading AI companies to incorporate high-quality human feedback and data into their models. You'll architect the underlying intelligence that powers our human-in-the-loop platform, developing for both traditional ML models and modern AI systems that transform how the industry evaluates, aligns, and improves AI models … that scale with our business Establish data-centric AI practices that leverage our unique position in the human data ecosystem Drive technical standards and best practices across our AI engineering work Collaborate with data scientists, platform engineers, and research teams to build cohesive solutions What You'll Bring Strong track record implementing AI/ML systems that solved … real business problems Skills in both building models and creating the infrastructure that supports them Proven expertise in modern AI/ML engineering practices and technologies, e.g. LLMOps or agentic AI Strong software engineering fundamentals with expertise in Python, AI/ML frameworks, and cloud infrastructure Experience mentoring teams and influencing AI/ML strategy Track More ❯

Prolific, you'll build cutting-edge AI systems that enable leading AI companies to incorporate high-quality human feedback and data into their models. You'll architect the underlying intelligence that powers our human-in-the-loop platform, developing for both traditional ML models and modern AI systems that transform how the industry evaluates, aligns, and improves AI models … that scale with our business Establish data-centric AI practices that leverage our unique position in the human data ecosystem Drive technical standards and best practices across our AI engineering work Collaborate with data scientists, platform engineers, and research teams to build cohesive solutions What You'll Bring Strong track record implementing AI/ML systems that solved … real business problems Skills in both building models and creating the infrastructure that supports them Proven expertise in modern AI/ML engineering practices and technologies, e.g. LLMOps or agentic AI Strong software engineering fundamentals with expertise in Python, AI/ML frameworks, and cloud infrastructure Experience mentoring teams and influencing AI/ML strategy Track More ❯

provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business … serve their connected customers and operate always-on enterprises. Build essential data platforms, products, and capabilities that empower clients and colleagues. Set and implement the strategic vision for Applied Intelligence's data ecosystem, including data science and engineering. Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build-vs-buy decisions. Work collaboratively with … value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on. Develop your skills with our world-class training programmes. Drive your career progression through our structured career development programs. More ❯

OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. The role requires deep platform … Be able to troubleshoot clients Data and Ai code scripts and make quality, performance, and efficiency recommendations. INDIVIDUAL RESPONSIBILITIES: Ability to independently analyse and solve complex data and AI engineering challenges. Stay updated on the latest Azure data and AI technologies and best practices. Proactively identify opportunities to enhance skills and knowledge. Effectively communicate technical concepts to both More ❯

Job Title: Engineering Manager (GenAI) Location: Abu Dhabi, UAE About Us AI71 is an innovative applied research team pushing the boundaries of Generative AI to create impactful and responsible solutions for knowledge workers. We work closely with industry leaders and researchers from the Technology Innovation Institute (TII) to develop groundbreaking AI products that are shaping the future of … work. Our mission is to build powerful AI agents that help businesses thrive. About the Role We are looking for an experienced Engineering Manager to lead a multidisciplinary team responsible for the full engineering pipeline—spanning front-end, back-end, and AI development. In this role, you will provide leadership across the technical stack, ensuring smooth … in a fast-paced environment. · Experience with Agile or Scrum methodologies and leading engineering teams in these frameworks. Preferred Qualifications · Master’s degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP More ❯

Job Title: Engineering Manager (GenAI) Location: Abu Dhabi, UAE About Us AI71 is an innovative applied research team pushing the boundaries of Generative AI to create impactful and responsible solutions for knowledge workers. We work closely with industry leaders and researchers from the Technology Innovation Institute (TII) to develop groundbreaking AI products that are shaping the future of … work. Our mission is to build powerful AI agents that help businesses thrive. About the Role We are looking for an experienced Engineering Manager to lead a multidisciplinary team responsible for the full engineering pipeline—spanning front-end, back-end, and AI development. In this role, you will provide leadership across the technical stack, ensuring smooth … in a fast-paced environment. · Experience with Agile or Scrum methodologies and leading engineering teams in these frameworks. Preferred Qualifications · Master’s degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP More ❯