13 of 13 Artificial Intelligence Engineering Jobs in Central London

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

acting as an internal incubator for a highly established, global media and technology group. We are reinventing how we operate through the lens of artificial intelligence, building high-impact solutions across our portfolio of digital publishing, visual content, and data analytics brands. This role exists to bridge … step AI agents in production. Community Presence: Active contribution to open-source AI projects or a technical footprint demonstrating thought leadership in the AI engineering space. ...

research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems … coach the investment team on the latest tools, processes Skills and Experience: circa 3-5 years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with ...

research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with ...

thrive on autonomy and proactive problem-solving. Deep Expertise: You hold a PhD, Postdoc, or significant industry experience in Molecular AI . Engineering Rigor: Strong skills in scientific computing , deep learning frameworks, and modern version control. Strong experience with either Alphafold, Boltz or Chai. Cloud Fluency: Comfort working ...

modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms Influence technical direction and best practice in ML and AI engineering Mentor and support junior engineers and graduates Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions … Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Ability to absorb complex scientific and technical concepts and apply them to operational solutions Strong communication skills for both technical ...

working with a large enterprise client to appoint an AI Engineering Manager to lead the delivery of enterprise-scale AI solutions, with a focus on LLMs, AI agents, and GenAI platforms. This is a technical leadership role—not hands-on coding day to day, but requiring sufficient depth … challenge design decisions, assure quality, and guide senior engineers. The Role You’ll be responsible for building and leading an AI engineering function, owning delivery from early experimentation through to production deployment, and partnering closely with architecture, product, and governance teams. Key Responsibilities Own the technical direction ...

London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead … code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‐native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‐tolerant systems. Nice-to-Haves: TypeScript a plus; SQL proficiency for data work. Bridges ...

. You’ll design and deploy production-grade AI systems that directly impact revenue, performance, and decision-making - working at the intersection of AI engineering and commercial strategy . The Mission Design and scale a commercial agent ecosystem , enabling smarter, faster decision-making across multiple domains. Tech Stack … CrewAI | dbt | SQL What we’re looking for Experience building production AI/multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.) Strong Python engineering skills (clean, production-grade code) Hands-on experience with cloud data platforms (Snowflake preferred) Ability to translate complex AI systems into clear commercial impact ...

AI consultancy building capabilities in decision intelligence, semantic data systems and operational AI. This role leads the capability that transforms data and models into real operational decisions and measurable business outcomes. Combining decision architecture, applied modelling and AI system integration, ensuring analytical work directly … drives how organisations plan, price, forecast and operate. You will lead complex client engagements, shape the firm's decision science practice, working alongside AI engineering and consulting leaders to design, deliver and scale production decision systems. What you will do Client leadership - Lead high-value engagements in decision ...

Senior C# Engineer - Agentic Workflows & Native AI Engineering, .Net 8/9, AWS (Lambda, SQS) OUTSIDE IR35 Reporting to the Director of Engineering, this is a genuinely outstanding contract opportunity for a rockstar Senior C# Engineer to lead the development of a greenfield SaaS product . … using SQS and related AWS messaging primitives; idempotency, retries, DLQs, ordering and clean service boundaries. Leverage Claude Code, advanced agentic workflows and native AI engineering practices; orchestrating sub-agents, managing context, running parallel workstreams and embedding AI-native engineering patterns into everyday delivery. Own each features ...

oncology and rare diseases. With strong early funding and a growing multidisciplinary team, they are now scaling both their technical platform and engineering capability. The Role They are hiring a Senior Machine Learning Engineer to take ownership of their ML strategy and help scale the company’s modelling … efforts Help shape the long-term ML roadmap and technical strategy What They’re Looking For 6+ years experience in machine learning/AI engineering roles Proven track record of deploying ML models into production environments Strong Python skills and deep experience with frameworks such as PyTorch ...

role focuses on advanced Azure networking, private connectivity, and network isolation patterns to support AI platforms and services. This is a hands-on engineering role requiring deep expertise in Azure virtual networking, security controls, and private connectivity for enterprise-scale and AI-focused environments. Key Responsibilities Design … platforms Secure integration with API Management (APIM) Private access to platform and AI services via private endpoints Collaborate with platform, security, and AI engineering teams to ensure networking aligns with security and compliance requirements Troubleshoot complex network connectivity, routing, and DNS issues across environments Produce clear technical documentation ...