51 to 75 of 209 LLM Jobs in London

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 ❯

the playing field and believe access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine tuned LLM and recently passed the UK's bar exam equivalent. We're backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. More ❯

skills; frames strategic choices with evidence and risk trade-offs. People leadership: hiring, coaching, career development and cross-discipline collaboration. Advantageous: corporate affairs/public policy exposure; GEO/LLM optimisation; strong analytics and brand measurement (incl. Barcelona Principles), Share of Search and foundational MMM. Demonstrate proven, hands-on experience with AI tools, applying them to drive more effective, efficient More ❯

any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. Scientific publication track record at top-tier AI/ML/NLP conferences or journals PREFERRED … QUALIFICATIONS Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.) Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/or similar tools Strong communication skills, with attention to detail and ability to convey More ❯

As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will More ❯

apply them thoughtfully Your background will look something like: AI product experience: You've worked on products where AI or LLMs are a core part of the user experience LLM familiarity: You understand how to work with prompt systems, hallucination trade-offs, and AI capabilities and limits Fast-paced execution: You've shipped features quickly in a startup or similarly More ❯

Hiring To diversify their service offering and future-proof the business, the company is transitioning into a product-led model. They've developed an AI-powered solution-leveraging large language model technology-to help legal professionals manage documentation-heavy workloads securely and efficiently. The Role The AI product has been developed by a small engineering team and is already in 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 ❯

Senior ML Platform Engineer (London) - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We More ❯

Overview GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next More ❯

Sr. AI/ML Specialist Solutions Architect Job ID: Amazon Web Services Singapore Private Limited Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI and Agentic AI? Are you excited by the challenge of driving 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 ❯

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 ❯

FDM is a global business and technology consultancy seeking a C# Developer to work for our client within the advisory and consultancy sector. This is initially an 8-month contract with the potential to extend and will be a remote More ❯

and integrating PolyAI into daily workflows. We are looking for a Senior Research Scientist to join our world-class team and lead cutting-edge work on large language model (LLM) post-training. This role focuses on building the future of dialogue systems with novel approaches to reasoning, reinforcement learning, audio-first LLMs, and more. As a Senior Research Scientist at … world data. Generate, collect, and annotate training data-including synthetic and real-world conversational datasets-with attention to quality and bias mitigation. Design robust evaluation metrics and benchmarks for LLM-based assistants in customer service domains. Work closely with engineering and product teams to integrate research into production environments. Collaborate with legal and compliance teams to ensure responsible use of … systems. Strong programming skills in Python and deep learning frameworks like PyTorch. Demonstrated expertise in at least one domain area such as reinforcement learning, conversational AI, audio modelling, or LLM alignment. Experience leading projects end-to-end, from ideation to deployment. Excellent communication skills with the ability to write clear technical documents and explain complex concepts to diverse audiences. Comfortable More ❯

to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience … programming experience, emphasizing efficient resource utilization and throughput maximization; - Demonstrated success implementing and tuning distributed AI systems leveraging modern frameworks like Megatron-LM and Ray, with particular focus on LLM deployment and horizontal scaling across GPU clusters. PREFERRED QUALIFICATIONS - First hand implementation experience of AI Infrastructure operation & optimization (Nvidia GPU Chips, Frameworks, Servers, Networking, Power etc.). - Graduate degree in More ❯

recognition and search in videos and images; vision-language multimodal self-labeling and self-supervised learning; human-in-the-loop hard negative mining for model incremental learning; LLM (Large Language Model) driven image data generation and data distribution augmentation; and uncertainty quantification for label noise minimization. WHAT YOU'LL NEED Minimum qualifications: PhD degree or equivalent algorithm testing and coding More ❯

something big. A true team player who enjoys startup pace and in-person collaboration. ?? Tech stack includes SAP/ABAP + ERP frameworks. TypeScript + Kotlin across the backend. LLM/AI workflows over large datasets. Containerised local-first development, Git deploys, Terraform. ?? Perks ?? Competitive salary + top-tier equity. ?? Breakfast + dinner in the office daily. ?? Legendary snack cupboard. More ❯

something big. A true team player who enjoys startup pace and in-person collaboration. Tech stack includes SAP/ABAP + ERP frameworks. TypeScript + Kotlin across the backend. LLM/AI workflows over large datasets. Containerised local-first development, Git deploys, Terraform. Perks Competitive salary + top-tier equity. Breakfast + dinner in the office daily. Legendary snack cupboard. More ❯

Skills & Expectations: Strong expertise in AI safety tools (e.g., Responsible AI Toolbox, Deepchecks) Experience with LLM compliance testing frameworks Hands-on knowledge in: Prompt injection testing and AI behaviour anomaly detection Bias, fairness, and explain ability metrics for LLMs Audit trail generation, logging, and compliance reporting (GDPR/DSAR) Security risk mitigation in AI agent systems More ❯

work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. WHAT YOU WILL DO Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Effective RAG architectures … in driving technical projects to successful completion in agile environments. Strong communication skills to align technical solutions with business goals. Ability to mentor and foster innovation within the team. LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience with modern Transformer-based More ❯

Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms Establish and enforce standards for model reproducibility … management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills Familiarity with real-time model serving, monitoring, and performance optimization Experience with LLM frameworks (e.g., LangChain, Hugging Face, Chroma, Mistral) and generative AI applications Domain expertise in areas like operations, personalization and marketing Passion for AI research, R&D, and exploring innovative applications More ❯

clearly, and hand over maintainable solutions. Good practice : apply data ethics, security and privacy by design; align to service standards and accessibility where relevant. Tech you'll likely use LLM frameworks : LangChain, LlamaIndex (or similar) Cloud & Dev : Azure/AWS/GCP, Docker, REST APIs, GitHub Actions/CI Data & MLOps : BigQuery/Snowflake, MLflow/DVC, dbt/Airflow … just PoCs). Proven ability to ship independently : from idea prototype secure, supportable production tool. Strong Python & SQL ; solid software engineering habits (testing, versioning, CI/CD). Practical LLM skills: prompt design, RAG , tool/function calling, evaluation & guardrails , and prompt/model observability. Sound grasp of statistics/experimentation (A/B tests, hypothesis testing) and communicating impact More ❯

Generative AI Lead 6 months Hybrid - 2-3 days per month on site in London £(Apply online only) per day (Inside IR35) Responsibilities- Leading on Generative AI solution design and development Researching and implementing cutting edge techniques, methodologies and approaches More ❯