26 to 50 of 78 Artificial Intelligence Engineering Jobs in London

with the range of teams within the business to bring products to life. The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines. The ideal candidate will bring deep expertise in AWS cloud-native data platforms, Snowflake, and modern data … engineering practices, with proven experience in banking and insurance domains. Key responsibilities: Lead the design and development of data ingestion, integration, and transformation frameworks. Architect and deliver data products that are modular, reusable, and aligned with business domains. Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions. Drive … integration patterns, ETL/ELT, and data pipeline orchestration Experience with data quality frameworks, metadata management, and data lineage Hands-on experience with machine learning pipelines and generative AI engineering Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure-as-code (e.g., Terraform, CloudFormation). Proven track record of delivering data engineering solutions More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud … native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists). This is a unique opportunity to remain hands-on in engineering while also leading a focused, high-impact team. You’ll be at the forefront of data and cloud … native engineering, working with modern technologies across AWS, On-premise kubernetes, Python, and … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful Senior AWS Data Engineer candidate will have the chance More ❯

introducing new areas of revenue/progression for the Data Science department. On top of your responsibilities as Director of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Director of Data Science role appeals to you, we want to see the following: A More ❯

introducing new areas of revenue/progression for the Data Science department. On top of your responsibilities as Director of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Director of Data Science role appeals to you, we want to see the following: A More ❯

. Architect and scale AI and ML platforms for enterprise-wide adoption. Lead deployment of LLM, RAG, and Generative AI systems at scale. Partner with business, data, and engineering teams to operationalize AI initiatives. Establish MLOps and LLMOps … frameworks for lifecycle automation, compliance, and monitoring. Champion Responsible AI practices across all stages of development and deployment. What We’re Looking For ✅ 8+ years of experience in AI engineering, data science, or data architecture . ✅ Proven success building and scaling enterprise AI/ML platforms . ✅ Strong expertise in Snowflake and MongoDB for data modeling and integration. … Hands-on experience with Azure, AWS, or GCP cloud ecosystems. ✅ Deep proficiency in PyTorch, TensorFlow, or Scikit-learn . ✅ Understanding of MLOps, LLMOps , and modern data engineering best practices. Why Ascendion? At Ascendion, we combine human creativity and technology excellence to build the future of digital innovation. You’ll join a team that empowers organizations to adopt AI More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists) in a unique hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful AWS Data Engineer candidate will have the chance to … banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets More ❯

About the Role Join a mission-critical team within our firm’s cutting-edge platform engineering function, supporting platform for front-office developers (quants and strategists) in a unique hands-on opportunity within a focused, high-impact team. You’ll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS … data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with trends like AI Engineering, and want to make a difference in a globally respected financial institution, this role is for you. The successful AWS Data Engineer candidate will have the chance to … banks, working closely with various businesses and gaining an overview of many different sectors. What We’re Looking For 5 + years, hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Strong experience engineering in a front-office/capital markets More ❯

Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how … advanced analytics supports smarter decision-making, better customer experiences, and more sustainable operations across the business. What You’ll Do: Lead the technical direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business … value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring More ❯

Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how … advanced analytics supports smarter decision-making, better customer experiences, and more sustainable operations across the business. What You’ll Do: Lead the technical direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business … value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring More ❯

retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases … and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week More ❯

retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt engineering, model evaluation, and responsible AI (governance, bias mitigation, safety). Optimise … models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases … and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week More ❯

to support autonomous decision-making and communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering More ❯

societal benefit. They are expanding their cloud capability and hiring a Senior Cloud Engineer to help shape and scale the Azure foundations powering advanced analytics, AI, and platform engineering across the business. You'll work at the intersection of data, software, and cloud architecture — building secure, resilient, modern infrastructure that underpins products used nationwide. This is a high … Azure Entra ID, VNets, routing, firewalls, Key Vault). Support Azure SQL, Cosmos DB, and PostgreSQL/MySQL deployments for performance, resilience, and scalability. Work with data and AI engineering teams to build pipelines, enable ML workloads, and support platforms like Azure Foundry, Hub, and Search. Integrate DevSecOps and Zero Trust principles into delivery. Champion cost optimisation (FinOps …/CD pipelines , and Azure DevOps or GitHub Actions . Solid containerisation skills (AKS, Kubernetes, Docker). Strong scripting ability — Bash, Python , or similar. Experience supporting cross-functional engineering teams. Comfort juggling multiple projects and collaborating with diverse stakeholders. A proactive, relationship-driven approach — someone who enjoys influencing best practice and being a “go-to” engineer. Bonus: any More ❯

AI Engineer - Elite Sports Tech - London AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company. Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune … and scalable backend components in Python Collaborate cross-functionally with engineers, data scientists, designers, and product managers to ship AI-first features Requirements: 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations) Proficiency in Python Experience More ❯

AI Engineer - Elite Sports Tech - London AI Engineer needed to join a highly skilled Engineering & AI team in a rapidly growing sports tech company. Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune … and scalable backend components in Python Collaborate cross-functionally with engineers, data scientists, designers, and product managers to ship AI-first features Requirements: 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations) Proficiency in Python Experience More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI … 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 , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that … 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 More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI … 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 , designing and delivering the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that … 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 More ❯

sharer of compelling ideas/work to the rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and More ❯

sharer of compelling ideas/work to the rest of the team and organisation. What do you need? Not necessarily the title, we know in the world of AI Engineering you may come from a background of data science, engineering, machine learning although what is key is that you will be deeply involved with productionising and 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 ❯

based in London. Half of the team are engineers or technology-related. The role reports to the CTO and will require offer the opportunity to: Help build the engineering team and processes from the ground up Build with the latest in LLMs, multi-agent systems, and define the tech stack Have significant input on the AI strategy and … optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working as a Software Engineer, Backend Engineer, ML Engineer or Product Engineer. Senior AI Software Engineer More ❯

based in London. Half of the team are engineers or technology-related. The role reports to the CTO and will require offer the opportunity to: Help build the engineering team and processes from the ground up Build with the latest in LLMs, multi-agent systems, and define the tech stack Have significant input on the AI strategy and … optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working as a Software Engineer, Backend Engineer, ML Engineer or Product Engineer. Senior AI Software Engineer More ❯

of London. They are seeking an AI Security & Compliance Engineer to work with them on a contract. The responsibilities of an AI Security & Compliance Engineer will include: Secure AI Engineering & Design Collaboration: Partner with engineering teams to embed security-by-design and privacy-by-design principles into AI agents, copilots, and automation workflows. Define and implement … GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. Policy Implementation & Regulatory Alignment: Translate regulatory requirements into actionable engineering guidelines and reusable controls. Ensure AI systems avoid prohibited practices and meet obligations around: Transparency and user awareness Data minimisation and lawful processing Continuous monitoring and incident response Cross … protection and privacy controls (e.g., DLP, masking, classification) Knowledge of regulatory frameworks including the EU AI Act, GDPR, and FCA guidance. Experience working in cross-functional teams across engineering, legal, and risk domains. More ❯

Head of Engineering (Founding Team) London/Remote | Full-time | Early-stage startup Bibex is building the global IP discovery platform for publishing, film/TV and beyond. We use AI to surface high-potential stories from fragmented global markets, connecting them with scouts, publishers, studios and producers. We’re backed by experienced founders (Footnote Press, Midnite, Gamerbase … and are finalising our first funding round. Now we’re looking for a Head of Engineering to join our founding team. The Role This is a hands-on, build-from-scratch position. You will take over as technical lead on our prototype development, working closely with the founders to shape the platform architecture and product roadmap. In the … structure book/IP metadata from catalogues and databases Implementing early-stage AI features (e.g. multilingual vectorisation, search, taste-matching) using third-party and custom models Establishing our engineering culture, coding standards and technical direction Growing and leading a team of engineers and data scientists as we scale About You Full-stack engineering background, comfortable across More ❯