76 to 100 of 209 LLM Jobs in London

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services … infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). Knowledge of embeddings, their applications, and limitations. Hands … AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

innovation and automation in clinical services. This is a full-time, remote UK-based role. ***Unfortunately we can't consider candidates that require sponsorship*** Key Responsibilities: Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems. Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data … standards (e.g., ISO27001). Ensure data governance, particularly around sensitive healthcare data. Share best practices and stay current with developments in AI, ML, and LLMs. Requirements: Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and More ❯

Overview At IQVIA, we are continuously expanding the boundaries of what's possible in clinical development through advanced analytics, cutting-edge technology, and deep scientific expertise. Within our Research & Development Solutions (RDS) organization, we are enhancing our services with agentic More ❯

Working Pattern : Hybrid (1-2 days per week in office) Location : London As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything we do at More ❯

Generative AI Lead 6 months Hybrid - 2-3 days per month on site in London £675 - 720 per day (Inside IR35) Responsibilities- Leading on Generative AI solution design and developmentResearching and implementing cutting edge techniques, methodologies and approachesTaking projects from More ❯

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first More ❯

TL;DR Kharon is seeking a full-time, London or Madrid-based Software Engineer with proficiency in data engineering practices . Occasional in office attendance is required for this role. RESPONSIBILITIES: Design, develop, test, deploy, and maintain scalable backend services More ❯

that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL … Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position or hybrid in the UK, Poland or Portugal. Occasional travel to More ❯

across 100 countries and has a reach of 600 million users, is recruiting an MLOps Engineer who has Chatbot (Voice) integration project experience using Python, Pytorch, Pyspark and AWS LLM/Generative AI. Our client is paying £400 PD Outside IR 35 to start ASAP for an initial 6-month contract on a hybrid basis based near Stratford, London. Main … must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and supporting LLM’s in a production environment is a must-have. An interest and understanding of embeddings, generative IA, and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of More ❯

Full Stack Software Engineer - AI/ML Full Stack Software Engineer - AI/ML The location of the role is London (hybrid working) . The duration of the contract is 6 months . The pay rate on offer is £750 More ❯

About Aqemia Aqemia is a next-generation pharmatech reinventing drug discovery with quantum-inspired physics and generative AI. Our mission: design innovative small-molecule drug candidates for dozens of critical diseases, faster and smarter, without relying on experimental data. Unlike More ❯

business. The role is a mix of platform tooling development and applied research, with the main focus on developing and implementing Agentic AI evaluation techniques, using strategies such as LLM-as-judge. As an MLE, you will work within a multidisciplinary team of machine learning engineers and software engineers building the Agentic AI platform, and liaise closely with downstream teams … evaluation strategy and ensure that agentic applications being developed are compliant, robust and well-engineered. The role includes: Developing, assessing and evaluating agentic systems built with a variety of LLM providers, including OpenAI, Anthropic & Google. Research and implementation of new GenAI evaluation techniques. Contributions to the development of software packages and evaluation harnesses to allow downstream teams to develop their More ❯

Overview The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS More ❯

power our research, product, and member-facing teams. You'll be hands-on across the full data stack: designing and operating pipelines, leading exploratory analyses, and developing ML and LLM-powered tools that enhance our capabilities. This is an end-to-end role where you'll own projects from ideation to pilot to production, exercising strong judgment to deliver high … team to understand analytical needs and develop clean, reusable data products to power insights Conduct advanced analyses and exploratory data science projects to support strategic priorities Build and productionize LLM and ML-powered internal tools Champion best practices around data architecture, governance (e.g., Unity Catalog), and performance tuning Collaborate within a small, hands-on data team (data scientists, analysts, and More ❯

We are looking for an AI Engineer to join nPlan's Engineering team. We work with complex graph data (each with 10,000+ nodes), applying multiple ML and LLM approaches to understanding the data, extracting meaningful insights from it using a proprietary forecasting engine, and empowering deep human interactions - all of which must work efficiently and robustly in production. As … implement and help support new applications of AI for the construction domain, pushing the boundaries of what's possible. Build core infrastructure that allows us to build and ship LLM apps quickly - this includes observability, how we work with several LLM providers + our own fine tuned models. Work with other engineers in the product and research teams to bring … practices and implementing AI across the whole company, keeping up to date with latest advancements and how they impact nPlan. Ideate and implement new features and functionality, and maintain LLM pipelines for both real time inference and development. About you You love to build products in a fast-paced environment with a super high degree of autonomy You keep up More ❯

NLP/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. The candidate must excel in working in a highly collaborative environment More ❯

goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language … e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit More ❯

to work at the cutting edge of generative AI - turning research into production-ready systems that make a real business impact. What you'll be doing Designing and deploying LLM-powered agents end-to-end - from research to production. Developing tools, frameworks, and annotation workflows to refine agent behaviour. Defining what " production-quality code " means for LLMs and teaching agents … we're looking for 2+ years' hands-on experience in ML/AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI … ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research. Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation . Send your CV to (url removed) for immediate consideration. People Source Consulting Ltd is acting as an Employment Business in relation to More ❯

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial service providers onboard businesses more quickly while cutting operational costs by 80%. About 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. … Pub/Sub, AWS Step Functions, etc.). Experience working with cloud platforms (AWS, GCP etc). Understanding of best practices in observability, monitoring, and debugging. Nice to Have LLM Observability & Evaluation - familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production. Comfortable optimising performance & scaling distributed AI workloads and ML Ops experience. More ❯

What you'll be doing Designing and deploying LLM-powered agents end-to-end - from research to production. Developing tools, frameworks, and annotation workflows to refine agent behaviour. Defining what " production-quality code " means for LLMs and teaching agents to meet that bar. Running A/B tests, evaluation pipelines, and latency optimisation to ensure reliability at scale. Collaborating with … we're looking for 2+ years' hands-on experience in ML/AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI … ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research. Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation . Send your CV to for immediate consideration. People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. 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 ❯

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 ❯

About LILT AI is changing how the world communicates - and LILT is leading that transformation. We're on a mission to make the world's information accessible to everyone , regardless of the language they speak. We use cutting-edge AI More ❯