1 to 25 of 41 LLM Jobs in Oxfordshire

Pharma space. Industry domain knowledge would be beneficial. Key Technical Skills Required Senior Python engineer with strong production software engineering experience. Commercial experience building LLM, agentic AI or multi-agent systems. Hands‐on experience with LangGraph, LangChain, Haystack or similar frameworks. Proven ability to deploy AI/ML systems into ...

technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required ...

documented code. Experience developing and deploying machine learning, AI or data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/ ...

exceptional team player - low-ego, high-initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

exceptional team player - low-ego, high-initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

/or R for data analysis, with an appreciation of good software development practice. It'd be great if you also have Comfortable using LLM programming assistants appropriately within a research analysis environment. Experienced running tools and workflows in a scalable system, for example Linux based HPC environments ...

also valued Demonstrated experience delivering AI, machine learning, or generative AI solutions in real-world settings Strong understanding of modern AI tooling, including LLM application patterns, orchestration frameworks, automation platforms, evaluation approaches, and model limitations Ability to balance experimentation with sound engineering discipline, including security, reliability, and maintainability Strong communication ...

work across the full lifecycle, from experimentation through to integration and operationalisation, and to mentor others along the way. Bonus points: generative AI/LLM application experience, privacy-preserving or compliance-sensitive systems work, multi-partner programme experience, or a background in regulated industries. You'll be the person turning ...

exceptional team player - low‐ego, high‐initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

exceptional team player - low‐ego, high‐initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental ...

tools rather than broad credentials. What you'll need to succeed 10-12 years in software or platform engineering, including recent delivery of production LLM applications (RAG, tool calling, agents, evaluations). Deep AWS expertise (IAM, Lambda, Step Functions, EventBridge, CloudWatch), infrastructure-as-code (Terraform or CDK), and CI/ ...

Aurora Energy Research Limited is seeking a Senior AI Software Engineer to lead a team of engineers and data scientists in building cloud-based software for modelling power grids. You will own projects from initial ...

particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering ...

runs for six months with potential extensions. Strong production AI/ML deployment experience is required. The candidate will work on building and deploying LLM and agentic AI solutions, emphasizing performance, secure deployments, and scalable data pipelines. #J-18808-Ljbffr ...

rapidly evolving AI capabilities into reliable, scalable systems that deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make … wider team. What We're Looking For You'll ideally have: 6+ years of professional software engineering experience , including several years working with LLM-based, generative AI or agentic systems. A demonstrable track record operating at Senior, Lead or equivalent engineering level. Commercial experience building and shipping multi-agent ...

blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien.Key responsibilitiesDesign and implement production architectures for agentic AI, LLM and vision-language applications.Adapt agent workflows, models, tools, retrieval systems and configurations for production use.Integrate AI systems with enterprise APIs, databases, applications and data platforms.Develop … Helm, Terraform and CI/CD technologies.Experience with LangGraph, AutoGen, smolagents or similar frameworks.Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.Experience implementing AI evaluation, observability, tracing and performance monitoring.Experience with high availability, autoscaling, load testing, incident management or restricted environments.Experience applying AI to scientific, engineering ...

post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilitiesDesign and implement production architectures for agentic AI, LLM and vision-language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications …/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with high availability, autoscaling, load testing, incident management or restricted environments. Experience applying AI to scientific ...

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide ...

product development — from idea to production, for our AI security team. You’ll build and ship AI-powered products (LLM-driven workflows, automation, intelligent systems) across the stack — frontend, backend. This is a high-agency, low-process role. Youwon’twait for specs.You’lldefine problems, make decisions, and move fast with ...

projects from concept through production, delivering data-driven AI-enabled decisions for researchers, investors and policy-makers worldwide. The role emphasizes building LLM-powered systems, tooling, and automation, with hybrid work in Oxford. #J-18808-Ljbffr ...

Search Console. A real grasp of structured data, entity optimisation, and E-E-A-T. Working familiarity with AI search tools and LLM-powered interfaces. Genuine curiosity about how AI is reshaping search and brand visibility - this isn’t a box-ticking line, it’s most of the job. Strong ...

Join Our TeamWe are the Audi Revolut F1® Team. Audi Revolut F1 Team is the official factory team of Audi, as the brand enters the FIA Formula 1 World Championship for the first time in ...

Senior Engineer, Investment TechnologySkip to main contentWe and third parties use cookies and similar technologies on this website to improve your online experience, analyse our traffic and provide you with personalized information. By clicking “I ...

Overview We’re AioiR&D Lab – an AItech hub in one of the fastest‐growing insurance companies. We research and develop AI systems that catapult insurance from a slow‐moving, traditional past into a data ...

autonomous laboratory systems, including scheduling, workflow execution, state management, error handling, and recovery. Develop the agentic layer of our platforms, covering tool interfaces for LLM agents, planning and decision logic, and the guardrails and human approval steps that sit around anything touching physical hardware. Close control loops with sensing … established review, release, and quality processes. We value people who have seenboth, andcan tell which mode a given problem calls for. Experience building on LLM APIs in production, including tool use, structured output, evaluation, and cost and latency management. Familiarity with the Model Context Protocol or similar agenttoolingstandards. Experience with ...