1 to 25 of 84 Remote LLM Jobs in London

desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A More ❯

languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

code (Terraform, AWS CDK). Excellent problem-solving skills and ability to translate business requirements into technical solutions. Preferred: Experience with AI chatbot frameworks (Dialogflow, Rasa, BotPress, or custom LLM integrations). Exposure to AI ethics, data privacy, and compliance regulations. Prior experience in multi-agent systems or autonomous AI workflows. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS More ❯

cases in the context of intelligent file protection and the broader cybersecurity landscape. Validate feasibility with stakeholders, ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering More ❯

Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo) Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding More ❯

Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking for We know no one ticks every box, but proven experience in leading engineering teams and building More ❯

changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement More ❯

Jira, Notion, Figma) Awareness of data privacy and compliance challenges in enterprise products Nice to have Background in AI/ML products, analytics platforms, or workflow tools Experience with LLM applications, knowledge graphs, or enterprise AI integrations Exposure to regulated or high-security industries (finance, maritime, healthcare, logistics) Benefits Competitive package with equity opportunities and remote-first flexibility More ❯

problem statement, articulating the root cause in a structured way. Expert knowledge : Demonstrate an understanding of the unique challenges of building with LLMs, such as managing hallucinations and evaluating LLM performance. Discovery : Identify and use a range of confidence-building methods to understand how users will interact with AI chat products, how to integrate AI into their workflows, and how More ❯

code). Familiarity with AI agent frameworks such as Model Context Protocol (MCP) or LangChain. Exposure to large-scale software system architecture. Desirable: Direct experience in generative AI and LLM research. Experience with open-source AI libraries. Knowledge of SQL and database interaction. Hands-on experience with version control systems. More ❯

ready AI systems for financial automation with hands-on development approach. Required Qualifications 10+ years of experience in AI/ML engineering with 4+ years in agentic AI and LLM systems Strong proficiency in LangGraph, LangMem, and agentic workflow development Hands-on experience with Azure OpenAI GPT-5, text-embedding-3-large, and Azure AI services Expert-level Python programming More ❯

is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation Skills, Knowledge & Experience Test automation frameworks (e.g., PyTest, Postman, Playwright, k6) LLM behaviour testing, including misuse and injection detection CI/CD integration with Azure DevOps for continuous testing Python/YAML scripting for scenario and agent validation Remote Working Expected to More ❯

is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation Skills, Knowledge & Experience Test automation frameworks (e.g., PyTest, Postman, Playwright, k6) LLM behaviour testing, including misuse and injection detection CI/CD integration with Azure DevOps for continuous testing Python/YAML scripting for scenario and agent validation Remote Working Expected to More ❯

of employees at Lendable. The team supports both our Operations function and our knowledge workers (Product, Engineering and Data. We have a strong focus on both Generative AI/LLM adoption as well as more traditional web applications.Scaling sustainably and profitably is a key area of focus across all areas of our business. We've taken our first big steps More ❯

Reports to: Data Director/Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 £80,000 location and experience dependent + 10% company bonus scheme Why This Role More ❯

features into production system Establish good practices for applied ML in the business, bringing your curiosity and drive to help us move fast while building robust foundations Apply modern LLM techniques to business problems: Use prompt-engineering strategies to get consistent, accurate results Explore augmentation methods (e.g. combining LLMs with our own data via embeddings or retrieval) Run fine-tuning More ❯

management & client-side (disintermediation). We are looking for a skilled profile, with experience around or towards: AI - Supply Chain - Product Lifecycle - Data Analytics - CX (AI Driven) Gen AI, LLM’s & AI Frameworks AI - Cross Functional Collaboration Managing Internal & Client-Side change (Work Breakdown Structure) The CAIO will use previous learning and commercial acumen - to achieve the new strategic objectives More ❯

product growth. Bright but has humility - you'll fit in well! Innovator, in technology and GTM, you love delivering ideas whose time has come. AI/ML literate - understands LLM limits, evals, performance/latency/cost trade-offs, data pipelines, guardrails, and can quickly gain respect of Eng/Research. Specific Voice AI experience certainly helps! We encourage you More ❯

Native . Deliver front-end excellence : Build fast, responsive web apps using Vite, React Query, Context API, and CSS frameworks . Integrate emerging tech : Incorporate AI/ML APIs, LLM-driven features, and automation tooling into our products. Design for scale : Lead on API design, performance optimisation, and secure, cloud-ready architectures. Build the team : Recruit, mentor, and grow high More ❯

side logic using Python. Manage APIs and integrate third-party services and tools. Ensure application data integrity and security by designing and managing databases in Postgres. Optional Qualifications: Built LLM applications and familiar with the concepts of MCP servers, Agents, and Retrieval-Augmented Generation (RAG) systems. Experience with extract, transform, and load (ETL) data with using Python libraries (e.g. Pandas More ❯

on impact: ability to recognize and adapt to frontier research and policy developments Extensive modern ML research experience. Typically 5+ years in areas like evaluations, safeguards, alignment, interpretability, or LLM capabilities. Logistics requirements Spending at least 3 days per week in our London office. We support hybrid work. Joining for at least 12 months. We may be able to support More ❯

researcher but you do need to know how to integrate modern AI capabilities into productions Essential: At least 4 years backend development experience Solid expertise in Node.js Experience integrating LLM APIs and open-source models into production systems Hands-on work implementing Retrieval-Augmented Generation (RAG) pipelines Experience designing and optimizing agentic AI workflows Tremendous opportunity offering plenty of scope More ❯

The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making More ❯