1 to 25 of 39 Remote/Hybrid LLM Jobs in the City of London

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation, and production services ...

monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature … thought, structured output, and instruction tuning Practical knowledge of RAG (Retrieval-Augmented Generation) architectures, including chunking strategies, vector embeddings, and similarity search Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar Experience designing and building agentic systems — tool-calling agents, multi-step reasoning, and human-in-the-loop ...

Services, Power BI, Power Platform, and data integration Experience with low-code and pro-code development across enterprise systems Understanding of AI integrations including LLM services and API-driven automation Experience using Azure DevOps for CI/CD, repositories, and deployment pipelines Strong stakeholder management and communication skills Ability ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

impact team. This is not a traditional engineering role. It’s a client-facing, front-end position focused on shaping how Generative AI and LLM solutions are applied in real enterprise environments, working closely with sales teams, architects, and clients to design, prototype, and demonstrate solutions that deliver measurable business ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy ...

products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy ...

monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production applications Understanding of core LLM concepts: context windows, token limits, temperature … Experience with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience with RAG, LLM Orchestration and MCP Experience in early-stage startups What We Offer Impact : Direct influence on product direction and technical decisions Growth : Opportunity to work across ...

teams Nice to Have Degree in Computer Science or a related discipline from a Tier 1 academic group Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks (e.g., Spark) What ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record designing and implementing AI solutions in enterprise settings Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI), and data pipelines Experience collaborating ...

platform best practices Collaborate with the AI Ops Core Pod to adopt and influence reusable assets, frameworks, and integration patterns Design and implement LLM-powered agent workflows using frameworks such as LangChain, LangGraph, or CrewAI Develop prompt chains , agent tools, and custom modules that support reasoning, summarization, and multi-step … experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such as LangChain , LangGraph , CrewAI , ReAct , or similar Understanding of LLM orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service ...

including AI services) and the ability to integrate with common business systems (e.g., CRM/marketing automation) via APIs/connectors. Experience using leading LLM platforms (e.g., Claude, ChatGPT) to support workflow implementation including prompt design, skills, memory, evaluation, and safe handling of sensitive information. Evidence of AI solutions that ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like: Evaluate LLM models on portfolio management topics such as asset allocation frameworks, risk-adjusted return analysis, and portfolio optimization. Create rubrics to assess model capabilities on tasks like ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on growth equity topics such as growth-stage company valuation, unit economics analysis, and investment memo writing. Create rubrics to assess model capabilities on tasks ...

shaping the future of AI in finance, please apply. No prior AI experience is required. What Does Day-to-Day Look Like Evaluate LLM models on venture capital topics such as startup valuation, term sheet analysis, cap table modeling, and market sizing. Create rubrics to assess model capabilities on tasks ...

/AI systems end-to-end Understand how kernel-level gains translate to wall-clock improvements in production. Build the infrastructure that lets LLM agents iterate unsupervised for days - compilation, correctness, benchmarking, scoring, lineage tracking... Design the evolutionary search - fitness landscapes, variation operators, population management, selection pressure, stagnation detection, exploration ...

correspondence Operationalising international data transfer mechanisms (SCCs, IDTA, TRAs) Third-Party & Sub-Processor Risk Conducting and documenting sub-processor risk assessments (including AI/LLM vendors such as OpenAI), maintaining the sub-processor register, and supporting customer notification obligations under DPAs Running vendor risk assessments across data protection, information security ...

AI Architect Hybrid (London, Bristol, Leeds, Manchester) Initial 3 months with extensions Inside IR35 - Umbrella only Our client, a reputable organisation in the IT sector, is seeking a talented AI Architect to join their team ...

Data Science - Assistant Manager £60,000 to 75,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Data Scientist - Associate Manager Locations: London or Manchester (Hybrid) Salary: Up to £75 ...

GenAI Full Stack Engineer Location: London (Hybrid, 2 days per week in office) Salary: £45,000 to £55,000 + Benefits Type: Permanent About the Company We are partnering with a leading digital transformation and ...