951 to 975 of 2,758 LLM Jobs in England

cross-functional team including product managers, UX, and QA. You will work on a cloud-first stack (Azure, PostgreSQL, MongoDB) and a multi-provider LLM setup, while championing secure, scalable architectures and responsible AI practices. #J-18808-Ljbffr ...

clients. The ideal candidate has over 10 years of experience in applied AI, is skilled in advanced Python coding, and has expertise in production LLM workflows. The role also involves collaboration across various departments to align product delivery with client outcomes, ensuring team growth and high-quality deliveries. #J ...

leading a squad of up to 4 engineers across Python/FastAPI and React/TypeScript. You will drive the product roadmap, champion secure LLM practices, and collaborate with a product manager, UX, and QA to deliver high-quality software while exploring Azure, PostgreSQL, and MongoDB capabilities. #J-18808-Ljbffr ...

will work with a fast-moving startup and founders on products used by global enterprise customers. Key responsibilities include building production AI systems (RAG, LLM workflows, AI agents) and owning projects end-to-end across backend, infrastructure and AI, shaping architectural direction from the ground up. Strong academic background ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

successful you will have: Extensive experience in ad tech research, marketing insights, or analytics within an advertising platform or agency. Proven ability to leverage LLM-based technologies and develop AI-driven interfaces. Strong stakeholder management skills, with a track record of managing cross-functional projects. Excellent storytelling and communication skills ...

part of a lean team, touching on many areas within the security remit. A sharp, current grasp and genuine interest in AI/LLM themes and emerging risks. Preferred but not a requirement: Financial sector experience. Those within a start‐up/scale‐up environment outside of finance will ...

Maths at GCSE grade 4/C or above, or equivalent) Eligible to live and work in the UK Desirable: Exposure to AI/LLM or agentic AI testing, including evaluation frameworks and non-deterministic testing Experience integrating automated testing into CI/CD pipelines, including quality gates and test ...

Stack We're building with tools that both humans and AI love: Frontend: React, Tailwind Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, many LLM providers DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra‐as‐code (Terraform) And always on the lookout for what’s next! We treat all candidates equally ...

expand the account actions it can complete autonomously.* Expand our in-house document extraction pipelines to make parsing faster and more accurate.* Design LLM-driven workflows that simplify case management.* Find new opportunities to replace manual work with effective AI systems.* Own solutions from discovery and prototyping through deployment, evaluation ...

product from early stage through to scale Track record of rapid iteration on a live, early-stage product. Comfortable shipping agentic AI or LLM-based products in production. Understands evaluation and quality measurement, not just prompting. High levels of ownership. Leads their own research. Speaks to real users regularly ...

tools, APIs, infrastructure, or other highly technical products. Comfortable selling to engineers, CTOs, and technical founders, and running demos independently. Exposure to AI/LLM products, agentic platforms, or meaningful hands‐on experience with AI tools. High ownership mindset, bias for action, and comfort operating with autonomy — your GTM partners ...

team, you will be someone who: Contributes to prompting, prototyping, building agents, scripting and data analysisDefines evaluation strategies, and creates the tests, datasets and LLM scorers needed to know whether a system is safe and workingCollaborates with and bridges the gap between clinicians, researchers, product, designers, engineering, and partnership teams. ...

metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered disambiguation. Better matching means more of WhoSampled's archive surfaces meaningfully within Spotify. Drive infrastructure modernisation: Lead meaningful infrastructure work that brings WhoSampled onto ...

client portfolios. Direct expertise in data/information security, advanced API orchestration, and a sophisticated operational command of the AI ecosystem, agentic deployments, and LLM vulnerabilities. Technical Skills: Deep hands-on background in modern application development, software development lifecycles (SDLC), and advanced software-defined networking concepts. Advanced mastery ...

that well and asks for feedback rather than waiting for it. It'd be great if you also have: Interest in evaluating AI or LLM-powered product features. Views on AI-driven test automation, particularly where it could replace manual testing. This probably isn't the role ...

restaurant, hospitality, or adjacent technology such as delivery, point‐of‐sale, or reservations. Experience with n8n or similar workflow and orchestration tools. Familiarity with LLM APIs, AI‐assisted workflow tools, and emerging automation technologies. What Success Looks Like In Your First 90 Days Develop a deep understanding of sunday ...

cloud-native security tooling – enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment. Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve the programme as the technology does. MindsetRisk-based by instinct: prioritises based on both ...

related things we're interested in Experience in due diligence, governance and compliance, risk, or another data-heavy regulated domain. Familiarity with LLM concepts and emerging agent standards such as MCP. Experience working with third-party data providers and commercial data licensing. Previous experience in a fast-growing startup environment. ...

encode your expertise into systems that compound over time. You ship things with Claude Code, Cursor, or equivalent, and you know how to orchestrate LLM APIs into pipelines. You treat AI as infrastructure, not an assistant. A track record of moving a number, with the evidence to prove it. Acquisition ...

candidate will apply strong software engineering and AI expertise to deliver secure, scalable and responsible AI solutions to production Design, develop, test and deploy LLM and agentic AI solutions Contribute to the development of LLM, Retrieval-Augmented Generation (RAG) and agentic AI solutions, including evaluation, optimisation and monitoring Implement reliable ...

cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python , SQL , Git , and CI/CD practices. Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. Collaborate with business, data, and engineering teams to drive AI adoption and innovation. Required Skills AI , Generative AI (GenAI … LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies ...

focus on deploying and optimising speech and language models across cloud and edge environments. The successful candidate will work on production-grade ASR, TTS, LLM and Small Language Model pipelines , taking AI capabilities from development through to highly available, low-latency production environments. The Role As a Machine Learning Engineer … supporting real-time conversational applications. Key responsibilities will include: Designing and deploying production-grade, low-latency Automatic Speech Recognition (ASR), Text-to-Speech (TTS), LLM and Small Language Model (SLM) pipelines. Building high-performance asynchronous REST and WebSocket APIs using FastAPI to support real-time conversational AI applications. Deploying machine ...

landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms. GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval. Model fine‐tuning: experience customising and fine‐tuning existing ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...