1 to 25 of 95 LLM Jobs in the Thames Valley

are looking for: Research engineering: 5+ years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Deep understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers More ❯

experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across cross-functional teams. Define, implement, and monitor key performance metrics for AI-driven product features. Stay up More ❯

of API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and More ❯

and retraining pipelines. Exposure to feature stores, registries, and experimentation frameworks. Familiarity with business-driven metrics and experience balancing ML performance with commercial goals. Experience with generative AI and LLM frameworks for fine tuning, evaluation, deployment and serving desirable. About Rightmove Our vision is to give everyone the belief they can make their move. We aim to make moving simpler More ❯

the company. What we are looking for: Research engineering: Industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying More ❯

looking for: Research engineering: 2-3 years of industry experience in complex machine learning projects including data processing and training models in a distributed environment. LLMs: Strong understanding of LLM architectures, pre and/or post-training, evaluations and inference. Programming languages: Excellent proficiency in Python using PyTorch/TensorFlow/JAX framework. Customer facing: Experience working directly with customers More ❯

defend our most critical institutions from attack. We are constructing the world’s first superintelligent cybersecurity operating system utilising new AI-native primitives and our own innovations such as LLM Zero Knowledge Verifiers (ZKVs). We're a seed stage startup backed by leading investors including Entrepreneur First and the Sequoia Scout Fund and strategic angels from leading technology companies More ❯

in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally More ❯

but operating as a tech lead in a flat structure. What they’re after: 4+ years’ experience building enterprise-grade software (Python, microservices, distributed systems) Proven track record deploying LLM-based applications, ideally Agentic focused Clear evidence of Software skills (CI/CD etc.) - super important Ability to lead small teams, own solutions end-to-end, and mentor engineers Strong More ❯

Key Responsibilities Design and deliver AI & data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training programmes More ❯

understanding of cloud architecture. Exposure to UX/UI design and customer-focused development. Collaborative approach with a growth mindset and passion for problem-solving. Familiarity with AI/LLM technologies would be a bonus! The ideal candidate is someone who thrives in start-up environments where ideas move quickly, and impact is immediate. You’ll enjoy taking ownership, solving More ❯

but operating as a tech lead in a flat structure. What they’re after: 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems) Proven track record deploying LLM-based applications Clear evidence of Software skills (CI/CD etc.) Ability to lead small teams, own solutions end-to-end, and mentor engineers Strong communicator with experience working in More ❯

but operating as a tech lead in a flat structure. What they’re after: 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems) Proven track record deploying LLM-based applications Clear evidence of Software skills (CI/CD etc.) Ability to lead small teams, own solutions end-to-end, and mentor engineers Strong communicator with experience working in More ❯

iterate, rather than waiting for perfect architecture ✨ Nice-to-Haves: Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting Familiarity with Snowflake or modern cloud data warehouses Awareness of LLM APIs, RAG concepts, or AI workflow orchestration Who You Are 🎯 Early-career to mid-career (2–6 years experience), eager for ownership and growth A pragmatic builder who enjoys wiring More ❯

Own backend features and API integrations (Python, FastAPI, gRPC, SQL) Adapt and extend auto-generated pipelines and front-end outputs Build connectors for APIs, files, and external systems Integrate LLM-based capabilities with robust evaluation and monitoring Champion AI-assisted development practices and tools Set up guardrails and context packs for AI-powered workflows Mentor team members on AI development More ❯

data, often leveraging foundation models such as ESM and EMO. Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in Computer Science or related field 3-7 years experience in More ❯

data, often leveraging foundation models such as ESM and EMO. Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in Computer Science or related field 3-7 years experience in More ❯

systems, and implement Retrieval-Augmented Generation (RAG) pipelines. You will also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: Designing and optimizing prompts for reliable LLM outputs Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools Implementing RAG pipelines to link enterprise data with LLMs Prototyping and iterating to demonstrate business More ❯

also advise on responsible AI practices, ensuring compliance and governance. Key responsibilities include: Working closely with Heads of departments to scope out projects Designing and optimizing prompts for reliable LLM outputs Building and deploying AI-driven workflows connecting LLMs to applications, APIs, and automation tools Implementing RAG pipelines to link enterprise data with LLMs Prototyping and iterating to demonstrate business More ❯

the 0–1 build of a pilot platform that could transform how public institutions license and commercialise content. This AI-driven content exchange will bring together content, data, and LLM integration, enabling large public institutions to unlock new commercial models through partnerships with software vendors. Package: £70-80k Duration: 12 Month FTC Location: Central London (3 days a week More ❯

C#/ASP.NET (Core & Framework) and modern JavaScript/TypeScript frameworks, particularly Angular . - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

C#/ASP.NET (Core & Framework) and modern JavaScript/TypeScript frameworks, particularly Angular . - MySQL/SQL - GitHub actions, Azure - Playwright, Docker - Any exposure to AI-assisted development tools & LLM prompt engineering, such as Cursor, V0, GitHub copilot, Windsurf, etc would be ace. Please pop me over your CV for immediate attention or just drop in with me for an More ❯

ISO 27001, AI governance). What We’re Looking For Strong technical grounding in AI, machine learning, and solution architecture. Experience implementing or scaling AI tools such as Copilot, LLM integrations, or automation platforms. Proven ability to deliver technology solutions in complex, regulated industries (legal, financial services, or similar). End-to-end solution architecture experience, from ideation to implementation. More ❯

research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and prioritisation. More ❯

background (Python experience a plus) with the ability to move fast and make pragmatic decisions. AI-native mindset — must be able to demonstrate how you’ve taken AI/LLM capabilities and built actual tools, systems, or features that increased code output, efficiency, or product capability. Experience in project delivery : taking ideas from concept to production under tight timelines. Comfort More ❯