451 to 475 of 2,332 LLM Jobs in the UK

training paradigms tailored for generating high-fidelity and insightful driving behaviors. Lead the development of cutting-edge deep learning models and generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies. ...

automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation Machine Learning & AI Libraries including: Transformers/Hugging Face for working with pre-trained LLMs, finetuning, and inference PyTorch for deep learning model development ...

just notebooks: system-level prompt design, agent architectures, tool use, RAG. An evaluation habit. You’ve built eval pipelines — golden datasets, regression suites, LLM-as-judge where it’s honest — and you can tell a good demo from a system that holds up in production. Strong software fundamentals : Python ...

design, build and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you’ll be working on products used by millions of customers every day. This is a highly collaborative role where you’ll partner ...

iterative refinement of model behavior. Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning. QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. Ability to design meaningful evaluation methods, including custom metrics and frameworks when ...

system design, and database tools (SQL/Python basics). AI & Cloud: Exposure to cloud infrastructure (GCP/Azure/AWS) and AI/LLM integrations. Agile & Delivery: Strong experience in Scrum/Kanban, writing technical specifications, and managing delivery cadences. Domain: Experience in e-commerce, travel tech, or large ...

Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure ...

directly influence the products, architecture and future AI roadmap. What you'll do Build AI-powered features within existing C#/.NET products Develop LLM solutions using RAG, agentic workflows and Azure AI Take ideas from proof-of-concept through to production Help shape technical decisions and the wider ...

assisted software development tools and engineering automation practices. Good knowledge of AI technologies including models, agents, evaluation frameworks and automated validation tooling. Understanding of LLM cost optimisation, including token monitoring, caching strategies and model selection considerations. Knowledge of approaches for managing and reducing token consumption costs.Deep understanding of observability, automated ...

comfortable with both. You will work directly with client engineers and stakeholders, as an AI specialist. What you will be doing Building and shipping LLM-backed agents: tool use, MCP servers, retrieval, orchestration between specialist agents, evaluation and guardrails Working across cloud model APIs and locally hosted models, and making ...

assisted development tools such as GitHub Copilot and ChatGPT to accelerate delivery. Help shape the future evolution of the platform, including potential AI/LLM and semantic search capabilities. Key Skills & Experience: The Full Stack Engineer will have strong SQL Server/Azure SQL, including database design, data modelling, queries ...

assisted development tools such as GitHub Copilot and ChatGPT to accelerate delivery. Help shape the future evolution of the platform, including potential AI/LLM and semantic search capabilities. Key Skills & Experience: The Full Stack Engineer will have strong SQL Server/Azure SQL, including database design, data modelling, queries ...

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

technical room. Comfort with ambiguity, direct customer contact, and the pace of a team that ships. Bonus: experience with agentic/LLM-based systems, or building ML in production. Who thrives here We’re looking for builders — smart, switched-on people who want to be handed a genuinely hard real ...

technical room. Comfort with ambiguity, direct customer contact, and the pace of a team that ships. Bonus: experience with agentic/LLM-based systems, or building ML in production. Who thrives here We’re looking for builders — smart, switched-on people who want to be handed a genuinely hard real ...

awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM projects on GitHub. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading, before the company was acquired. Chris (Chief Executive ...

Apex* Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes* Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices* Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations ...

outcomes Demonstrated experience working with international and/or offshore vendor teams to drive global process standardization and quality Basic SQL querying Competency in LLM/transformer models, and/or ML for robotics domain experience A greater focus on using your subject matter expertise for results analysis and direct ...

platforms, workflow automation tools, or equivalent technologies Strong understanding of API integrations — REST, webhooks, authentication patterns, and error handling at scale Experience working with LLM APIs — prompt engineering, structured outputs, tool use, and agent chaining Comfort working from a spec — you can take a workflow design and build it accurately ...

similar orchestration platforms. Knowledge of policy-as-code and security governance. Familiarity with supply chain security and software integrity. Experience evaluating AI/LLM security, agentic systems or model governance. You will be: An excellent communicator, able to produce clear incident reports, technical documentation and stakeholder updates. A pragmatic problem ...

BarWinning TogetherDelivering with SpeedWe are an AI-first companyWe don't just build software. We build intelligent systems. From AI-assisted development workflows to LLM-powered product features, we expect every engineer to embrace and actively shape how AI changes what we ship and how we ship it. ...

JavaScript, Java, or ApexProven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomesExperience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practicesStrong project and program management skills — ability to run multiple work-streams, manage stakeholder ...

enterprise customer on the same incident and land it with all three. Nice to have: securing AI product features, OWASP Top 10 for LLM Applications, the NIST AI Risk Management Framework, MITRE ATLAS, SOC 2, or ISO 27001. Education Degree in a STEM field, preferably Information Security or Computer Engineering ...

behind them, with good judgment on realism and validity limits. Practical familiarity with evaluating AI systems and their failure modes, across classic ML models, LLM-based systems, and AI agents. Fluency in Python for statistical analysis, data preparation, and reproducible evaluation workflows. A rigorous approach that values evidence, clarity ...

approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows ...