26 to 50 of 130 Artificial Intelligence Engineering Jobs in the UK

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills … shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange … your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies Step Two: Study and take your three AI More ❯

decision logic ✅ What You Must Bring UK-based and either hold SC clearance or be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of … and familiarity with relational or graph stores Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers Ability to work independently and collaboratively across delivery and engineering teams 🌟 Nice to Have Familiarity with ethical considerations, bias evaluation, and responsible AI deployment Light DevOps or scripting experience to support deployment or debugging Why This Role? This isn More ❯

decision logic ✅ What You Must Bring UK-based and either hold SC clearance or be eligible and willing to go through clearance 2+ years of experience in applied AI engineering, data engineering, or backend platform work Strong experience in Python — capable of implementing algorithms and working with APIs, data structures, and logic flows Good understanding of … and familiarity with relational or graph stores Hands-on experience using frameworks like LangChain , Haystack , or custom orchestration layers Ability to work independently and collaboratively across delivery and engineering teams 🌟 Nice to Have Familiarity with ethical considerations, bias evaluation, and responsible AI deployment Light DevOps or scripting experience to support deployment or debugging Why This Role? This isn More ❯

production environments using MLOps best practices. What did we order? Experience with cloud platforms (AWS, GCP, or Azure). Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field. Experience with fine-tuning open-source LLMs (e.g., Llama, Mistral, Falcon). Familiarity with MLOps tools and principles for deploying and monitoring models in More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead for a newly formed AI Engineering function . You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools … high-value AI applications. Mentor engineers and shape the company’s approach to internal AI enablement. What You’ll Bring 7+ years’ experience in backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and … working with a central London office (bike storage and showers available) “Work from Abroad” policy (up to 5 days per year) Pension scheme Collaborative, inclusive, and forward-thinking engineering culture Strong focus on career development and ownership More ❯

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their … s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering , you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that … A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI More ❯

Director, AI Engineering – Professional and Financial Services Location: London (Hybrid) Employment Type: Full time Our Client Our client is a global leader in transforming organisational performance through safe, impactful and human centric artificial intelligence. With over a decade of success, they partner with leading organisations worldwide, combining AI software, bespoke consultancy, and top-tier talent from their … s leading technology firms, the organisation tackles some of the most complex challenges in applied AI across financial services, professional services, and beyond. The Opportunity As Director of AI Engineering , you will serve as the most senior technical authority for AI solutions across the Professional and Financial Services business unit. This is a high impact leadership role that … A collaborative leader who enjoys mentoring and developing high performing teams Why Join This is an opportunity to join a pioneering AI organisation that is redefining how businesses apply artificial intelligence responsibly and effectively. You will work alongside some of the brightest minds in the field, solving complex, real world challenges and shaping the future of applied AI More ❯

Infrastructure AI Engineer – Series A Deep Tech AI Company About the Company: Our client is a pioneering deep tech company transforming how enterprises leverage artificial intelligence to automate complex analytics workflows. Following a successful Series A funding round , the company is scaling rapidly to meet growing demand from some of the world’s largest organizations. Their platform delivers … MCPs, and agentic AI workflows into robust environments. Build and optimize CI/CD pipelines and infrastructure-as-code (IaC) frameworks (e.g., Terraform, Helm). Partner closely with AI engineering teams to ensure smooth delivery from prototype to production. What You’ll Bring Strong background in cloud infrastructure engineering — experience with at least one major provider … deploy and manage systems across hybrid or multi-cloud and on-premise environments. Expertise with Kubernetes, Docker , and container orchestration at scale. Familiarity with DevOps and site reliability engineering (SRE) best practices. Experience with CI/CD automation and infrastructure-as-code tools. Understanding of AI/ML deployment patterns and how to support model-driven workloads in More ❯

out of AI capabilities. Whoever joins has an opportunity to work on the foundational architectural definition and implementation. What you’ll do Report directly to the Director of Engineering Architect, build and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems Ship models via … APIs, containers, or cloud-native services Own engineering excellence — Git, CI/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert … Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start. More ❯

out of AI capabilities. Whoever joins has an opportunity to work on the foundational architectural definition and implementation. What you’ll do Report directly to the Director of Engineering Architect, build and ship advanced AI/ML & Generative AI solutions — scalable, secure, production-ready Design data ingestion pipelines, integrate vector databases and retrieval-augmented systems Ship models via … APIs, containers, or cloud-native services Own engineering excellence — Git, CI/CD, automated ML testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert … Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile now for immediate consideration. November start. More ❯

own the company’s AI infrastructure from the ground up. Work with cutting-edge AI technologies in a hands-on, high-impact role. Leadership path — build your own AI engineering team. Competitive salary (up to £120k), flexible working, and professional growth opportunities. Ready to build the foundation of our AI future? Apply now and help us shape an More ❯

own the company’s AI infrastructure from the ground up. Work with cutting-edge AI technologies in a hands-on, high-impact role. Leadership path — build your own AI engineering team. Competitive salary (up to £120k), flexible working, and professional growth opportunities. Ready to build the foundation of our AI future? Apply now and help us shape an More ❯

closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com More ❯

vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS More ❯

vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX transformation projects. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX More ❯

with the founders to set the product and technical roadmap 💡 What You’ll Bring 5+ years’ full-stack experience with Python + React/Next.js Proven hands-on AI engineering — RAG systems, embeddings, hybrid search Solid cloud & data skills (AWS, SQL/NoSQL, containerisation) Familiarity with LangChain/LlamaIndex and LLM evaluation tools a bonus Start-up mindset More ❯

onsite twice p/w) 25 days annual leave Health Insurance Matched Pension L&D fund Flex-Hours On-site parking Plus more If you’re passionate about AI Engineering and are keen to work for one of the most exciting and fastest growing FinTechs in the country then please apply right away. 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 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 More ❯

and turning concepts into scalable, market-ready IP. You will lead a small, cross-functional squad initially of 1–3, scaling over time, and work closely with consulting, engineering, and go-to-market teams to embed AI into Dynamics 365 and the Power Platform. Education and Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data … Science, Engineering, or related field, or equivalent practical experience. Experience 10+ years across AI, digital product innovation, or enterprise technology, with significant exposure to Azure and Microsoft ERP ecosystems. Proven leadership of cross-functional teams and successful delivery of AI solutions in complex enterprise environments. Deep understanding of Dynamics 365 (F&O, CE, BC), the Power Platform, and … to validate value fast, then harden promising POCs into robust, reusable assets. Cross-Functional Leadership Build, mentor, and scale a cross-functional team spanning data engineering, AI engineering, and UX. Chair the internal design authority for AI and digital assets, ensuring alignment with enterprise architecture and delivery frameworks. Foster a culture of curiosity, ethical AI, and More ❯

hedge fund in Madrid. This is a joint venture launched by one of the most prestigious hedge funds in the world, aimed at implementing complex data and Gen AI engineering initiatives for both the hedge fund and potential competitors. You will collaborate with some of the brightest minds in the country to handle messy and complex datasets, build More ❯

and solution documentation. Share knowledge and collaborate with the Principal Consultant to develop best practice. What we’re looking for Strong foundation in Data Science, Machine Learning and AI engineering . Proficiency with Python and modern data/AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Comfortable working on-site with clients multiple times per week — building relationships More ❯