201 to 225 of 1,125 LLM Jobs in England

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 dev: set up guardrails, context packs, and mentor others. Collaborate with Solution Strategists, Data Platform, Platform and Support teams. What More ❯

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 dev: set up guardrails, context packs, and mentor others. Collaborate with Solution Strategists, Data Platform, Platform and Support teams. What More ❯

team. As our Principal Data Scientist, you'll: work closely with cross-functional development teams to build, test, and maximize the value of a suite of models ranging from LLM's to propensity, classification, and regression models contribute to end-to-end development and deployment of ML and AI models define best practices for a team of highly talented and More ❯

coding tools (e.g., Claude, GitHub Copilot) and an enthusiasm for adopting new AI technologies. Ability to contribute significantly to architecture decisions and the product roadmap. A strong understanding of LLM-powered applications, including agents, tools, and prompt engineering. Experience with agent frameworks like LangChain or LangGraph. Familiarity with cloud-native systems, especially Google Cloud Platform (Firestore, GCS). Exposure to More ❯

Do Architect and implement automation frameworks, test strategies, and quality infrastructure across web, mobile, and on-device platforms. Design scalable validation systems for real-time voice interaction , AI/LLM-driven features , and distributed cloud services. Partner with engineers to shape code for testability and embed quality early in the development process. Lead cross-functional quality initiatives to improve CI More ❯

Bloomsbury Square, London, United Kingdom Software Engineer - AI/ML/Python (Lead Level) at N Consulting Ltd Job Title: Software Engineer - AI/ML/Python (Lead Level) Location: London, United Kingdom (Hybrid - 2-3 days onsite per week 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

perspective, to work on an experimental piece, harnessing emerging solutions within the Generative AI space to build capabilities around synthetic audiences and personalisation. Experience requirements : Experience in building Large Language Model based applications incorporating tool usage and information retrieval. Experience in Python programming language. Administering Amazon Web Services accounts. Able to take ownership of the entire feature development lifecycle, i.e. 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 ❯

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 ❯

a measurable impact. What you'll be doing: Collaborating with business teams to uncover and define AI/automation opportunities. Engineering and optimising prompts to ensure consistent, high-quality LLM outputs. Building and deploying AI-powered workflows that connect LLMs with business applications, APIs, and automation tools. Implementing RAG (Retrieval-Augmented Generation) pipelines to integrate enterprise data. Rapidly prototyping and More ❯

Access Management, including privileged user controls and secrets management, with a good understanding of security topics in Azure, GCP, serverless, container platforms, and Infrastructure as Code environments, within a LLM environment. This role will also work on identifying and assessing the suitability of cybersecurity partners, as well as business development opportunities to generate improved service for clients or additional growth More ❯

products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/ More ❯

products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/ More ❯

products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/ More ❯

products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/ More ❯

products. 💡 Tech Stack They keep things lean and modern: Front-end: TypeScript, React, Next.js, Tailwind CSS Back-end: Go Infra: Google Cloud Platform AI: Claude, Gemini, GPT (integrated for LLM-powered features) For this role, Python will be your main playground — no need to know Go or TypeScript. ✅ What They’re Looking For 4+ years of hands-on ML/ More ❯

Champion best practices in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering More ❯

the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU More ❯