26 to 50 of 648 LLM Jobs in London

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 ❯

in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret More ❯

in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret More ❯

Provide guidance to more junior members of the team, while orchestrating the work of the entire team. Good to have experience applying GenAI techniques like prompt engineering, RAG, or LLM fine-tuning to solve business problems. What You'll Bring 5-7 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level. More ❯

certifications such as OSCP, GIAC (GWEB, GWAPT, GCSA), CISSP, or CSSLP. Experience working in SaaS, multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. What do we offer? We value our people and offer a competitive salary along with company bonus Strong More ❯

providing insights and recommendations on platform strategy and execution. Proactively identifying, managing, and communicating platform level risks and issues. Define and implement best practices for AI/ML/LLM operations. Drive automation and cost efficiency across cloud resources. Ensure platform governance, compliance, security and data privacy. Lead Platform Proofs of Concept (PoCs) and evaluate emerging technologies. Champion collaboration across More ❯

test infrastructure that combines traditional CI/CD pipelines with AI-driven decision making for optimized test selection, parallel execution, and automated result analysis Lead technical strategy for implementing LLM-based approaches to test script generation, automated debugging, and intelligent test maintenance across our distributed systems Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering More ❯

containerized deployments. Manage backup and disaster recovery procedures for all critical systems. Collaborate with engineering teams to containerize services and fine-tune runtime performance. Evaluate and integrate AI/LLM tools to improve automation, diagnostics, and operational efficiency. Requirements 5+ years of DevOps or SRE experience in high-availability, real-time systems. Strong hands-on experience with AWS services (EC2 More ❯

5G O-RAN domain, contributing to the next generation of intelligent mobile network solutions. Responsibilities: Design, implement, and evaluate machine learning models with a focus on deep learning and LLM applications Develop and fine-tune models for application development in the 5G O-RAN domain Collaborate with developers and domain experts to integrate AI solutions into scalable systems Leverage Kubernetes More ❯

and engineering teams. Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs. Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI More ❯

problems with innovative approaches while balancing real-world practicality to deliver meaningful impact. Key Responsibilities Lead multiple data science projects from concept to deployment.? Architect and implement GenAI/LLM solutions (prompt engineering, fine-tuning, evaluation frameworks).? Write and review high-quality Python code for production-ready solutions.? Communicate complex analytical findings in a clear, business-relevant way to More ❯

understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯

ll work on high-impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. Enhancing Copilot Search by developing novel content representation 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 ❯

guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices and the More ❯

Docker, Infrastructure as Code(CloudFormation, Terraform), CI/CD (Jenkins,GitHub Actions), Observability(AWS, Grafana) Development tools: GitHub, Jira, Notion, ChatGPT,Gemini,LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. WHAT WE OFFER YOU A front-row seat in a fast scaling, early stage startup. Working on cutting edge problems withbrand new technologies. Join a passionate and 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 ❯

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 ❯

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯

MLFlow, and/or other distributed training frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯

MLFlow, And/or Other Distributed Training Frameworks. In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. Experience More ❯

complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on More ❯

complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on More ❯

ll work on high-impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: - Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation More ❯

data business Requirements Bachelor's degree in Computer Science, Engineering, or related field Extensive experience with Snowflake and/or Databricks Familiarity with Machine Learning and Large Language Models (LLM) Experience in building Data Warehouses and Data Lakes Expertise in Data Quality, Data Modeling, and Analytics Experience with at least one Cloud provider (AWS, Azure) and traditional Data Platforms Knowledge More ❯