51 to 75 of 877 LLM Jobs in England

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 ❯

customers on-site to deploy xAI models/products in their environments or integrate their software with xAI's cloud, alongside engineers Identifying pain points, scoping specs, and building LLM-powered software for government use cases Optimizing model performance via prompt tuning or fine-tuning for secure, scalable deployment, and working with SMEs at the customer to improve this process 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 ❯

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 ❯

skills in R (including package development, deployment, advanced programming) and Python. Specialist expertise in one or more of the following: Deep learning & analytical frameworks such as pytorch, jax, tensorflow; LLM/LMM applications & agentic AI; bioinformatics & data science. Expertise in systems programming languages (e.g. C/C Rust) is optional but can be beneficial. Strong working knowledge of at least More ❯

and end-to-end testing experience with frontend and backend systems. Proficient in C# or Python to build, maintain, and execute automated test suites. Experience working on AI/LLM projects such as testing model accuracy, correctness, completeness, and performance is a plus. Experience with Azure OpenAI Service, AWS Bedrock, and/or AWS Sagemaker is a plus. Experience in More ❯

Resource Groups, Azure Storage Accounts, App Insights, Key Vault, etc. GenAI Application Development - Experience in building GenAI applications with RAG, prompt/context engineering, embeddings, chat completions, and calling LLM APIs. Agentic AI Expertise - Strong understanding of agentic AI architecture, including LLMs, MCP, agent hierarchies, orchestration, evaluations, memory and trace setup. Languages - Proficiency in Python, SQL, ReAct (reasoning and acting More ❯

Applying CI/CD concepts and using version control systems (e.g., Git) Developing internal front-end applications using Streamlit, Dash, or React (preferred but not essential) Leveraging ML or LLM models for data cleaning and anomaly detection (preferred but not essential) Maintaining clear and structured documentation of data processes Solid understanding of medallion architecture and related data concepts Analytical mindset More ❯

AI/ML principles (e.g. neural networks, NLP, transformers, speech processing). Hands-on experience with Python and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Mistral, Whisper). Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI, OpenAI Functions). Interest in human-centred design, service delivery and More ❯

or experience working closely with ML/AI teams. Exposure to incorporating LLMs into engineering workflows for production-ready applications, including prompt engineering and context management. Familiarity with multiple LLM providers (e.g. OpenAI, Anthropic, Google) and an understanding of their comparative strengths, trade-offs, and integration models. Familiarity with DevOps tools such as GitHub Actions, Azure DevOps, or Terraform. Understanding 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 ❯

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 ❯

at least one software programming language PREFERRED QUALIFICATIONS - Fluent in Java and python - Has experience of machine learning model development - Has experience of GenAI and Agent service development using LLM/VLM. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

Excellent communication skills, adept at making measurement engaging, accessible, and actionable for diverse audiences; measurement storytelling. Experience in B2B marketing analytics and marketing intelligence, or B2B consulting Experience with LLM, Gen-AI techniques Experience with CRM platform technology and data structures Experience working directly with engineering and technical teams Experience using python, SQL or similar querying language Suggested Skills Stakeholder More ❯

Hands-on experience with Sage Maker, Lambda, Step Functions, S3, Athena. Model deployment and pipeline orchestration in AWS. OCR Use-Case Development: Proficiency with Amazon Tex-tract, Tesseract, and LLM-based OCR. Building document parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and More ❯

finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering Why Join Us? Work at the frontier of AI, logic-based reasoning, and decision automation More ❯

knowledge. Seeks opportunities to drive process improvement. Required Qualifications, Capabilities And Skills Bachelors degree Proven track record in product development/Change management Working knowledge of Alteryx, Tableau, JIRA, LLM Suite, Confluence Working knowledge of Agile methodology Strong analytical and problem-solving skills. Able to identify root causes of problems and to evaluate information with sound judgement, attention to detail More ❯

Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns. Guide teams in integrating AI/ML capabilities-including prompt-based LLM use cases, model inference, and feature pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals. Provide thought leadership More ❯

Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns. Guide teams in integrating AI/ML capabilities-including prompt-based LLM use cases, model inference, and feature pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals. Provide thought leadership More ❯

Azure and AWS. A self-starter who takes ownership, enjoys learning and sharing knowledge, and has a practical, down-to-earth approach. Nice to have Experience testing AI/LLM-based solutions, including model accuracy, correctness, and performance validation. Familiarity with Azure OpenAI Service, AWS Bedrock, or similar AI platforms. Experience testing OfficeJS applications or add-ins. Background in the More ❯

We tend to look for people with: Bachelor's degree or equivalent in commercial law, business administration, supply chain management, or a related field. Advanced degree (i.e. Master's, LLM) is desirable. Qualifications and/or experience in relation to project management/process improvement methodologies e.g. Agile, Lean Six Sigma preferred. SKILLS & ABILITIES Strong expertise in contracting processes (buy More ❯

metrics: you will analyze data and collaborate with stakeholders to create new insights leveraging the latest and greatest data from our data set, including the recent outputs of our LLM classifying system. Qualifications Bachelor's Degree in Computer Science, Information Technology, Business Administration, or a related field is typically required. Professional certifications such as Certified Business Analysis Professional (CBAP) or More ❯