1,751 to 1,775 of 2,324 LLM Jobs in London

Your Team Responsibilities Join MSCI’s Private Assets Product team, where you will help deliver the next generation of AI-enabledplatformsolutions forparticipants in private markets.This product management role exists to accelerate the development ofcutting-edgesolutions ...

eDiscovery Project Manager We are a fast growing Ai/Technology driven eDiscovery provider seeking an experienced eDiscovery Project Manager to oversee comprehensive eDiscovery processes in response to legal, regulatory, and internal investigations. This role ...

Morgan’s Holdings is a global technology and retail group transforming the grocery experience with AI, computer vision, and zero-waste logistics. You’ll build models that forecast demand, personalise recommendations, and power in-store ...

Moody's Senior Software Engineer-AI role focuses on designing, building, and operating backend services and AI-powered features behind Moody's intelligent data products. The engineer will own end-to-end delivery, from technical ...

Solirius Reply, part of the Reply Group, is seeking an experienced AI Engineer to design, architect, and deploy robust AI solutions. You will work with data scientists, data engineers and software engineers to deliver advanced ...

Location London Employment Type Full time Location Type Remote Department Deployment Your Role As an FAgent Deployment Manager at Eloquent AI, you’ll be responsible for leading the end‐to‐end deployment of our AI ...

Agency:FleishmanHillardJob Function:ConsultingJob Subfunction: Business and Change ConsultingJob Description:Why FleishmanHillard? We have been named PRWeek’s Global Agency of the Year and Best Places to Work; a “Standout Agency” on Advertising Age’s ...

About Nevis Nevis is building the world’s first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to ...

Janus Henderson Investors is seeking a forward deployed engineer to embed with business units and transform workflows into production AI and data solutions. You will work closely with AI Enablement Partners, surface demand, and own ...

Ohme is on a mission to accelerate the global transition to clean, affordable energy. We do that by serving as an integrated hardware and software smart-grid platform, focused on the residential EV charging market. ...

Our client is an online travel company. Why Technology at our client? We trailblaze together . Were on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable ...

Senior Manager – Search & LLM Discovery Function: Growth Location: London/Peterborough Curious about what’s next? So are we. Join Compare the Market and help to make financial decision making a breeze for millions. At Compare the Market, we are a purpose-driven business powered by technology and AI. … building new capabilities that ensure our brand remains visible, trusted, and competitive wherever customers seek information. We are looking for an experienced LLM Discovery & Optimisation Lead to define and lead our organic growth strategy across SEO and emerging AI-powered discovery environments. This role will connect changing customer discovery behaviours ...

Accenture London is seeking an AI Large Language Model (LLM) Technology Lead/Principal Architect to act as the definitive technical authority on AI architecture in client engagements and across the practice. You will own end-to-end architecture of advanced AI platforms, spanning classical ML and generative AI, aligning ...

Keen to join a company that champions growth and development? Join a leading UK Managed Service Provider expanding into applied AI and LLM-based solutions for enterprise clients. The organisation is building a new AI capability that combines deep technical expertise with practical, commercially focused solutions for existing and prospective … services customers. This company is looking for a Customer-Facing AI Data Scientist to work directly with client engineering leads and technical stakeholders, architecting LLM solutions, supporting design decisions, and translating advanced model knowledge into commercially viable outcomes. The role offers genuine ownership across LLM fine-tuning, evaluation, and deployment ...

working with an exciting AI technology business looking for a Senior Applied AI Engineer to join the team building and improving its production LLM systems. This is a hands-on engineering role for someone who wants to work on real-world AI problems where the technology is already being used … production. Rather than focusing on training models or open-ended research, you’ll be solving the challenges that come with making LLM-powered products genuinely work at scale. You’ll have the opportunity to influence how the product evolves, working closely with Product to improve quality, reduce cost and latency ...

automation, AI evaluation, CI infrastructure and investigation of complex test and quality issues. Key Responsibilities: Enhance and run layered evaluation frameworks, including automated checks, LLM-as-judge scoring, defined rubrics and targeted human review. Maintain versioned golden datasets to ensure evaluations remain reproducible and auditable. Monitor key quality signals across … Genuine interest in the challenges involved in testing non-deterministic AI output. At aSenior Level: It would be beneficial to also have experience of: LLM evaluation. Rubric design. LLM-as-judge approaches. AI regression testing. Evaluation harnesses. Improving quality practices across teams. Benefits include: Employee shares and equity programme, giving ...

machinery that lets us ship non‐deterministic AI output with confidence. Evaluate, automate, dig, improve. Enhance and run our layered eval harnesses - automated checks, LLM-as-judge scoring, rubrics, targeted human review Maintain versioned golden datasets so evaluation stays reproducible and auditable Track the signals that matter for investigative output … interested in AI quality. You can articulate why testing non‐deterministic output is a different - and more interesting - problem. (Senior door) You’ve shipped LLM evals - rubric design, LLM-as-judge, regression harnesses - and raised the quality bar across teams that didn’t report to you. Good to work with. ...

across the firm. We are looking for an exceptional NLP Performance Engineer to join our NLP Engineering team and take ownership of large-scale LLM inference performance. This is a specialist Quantitative Developer role. Like all our Quantitative Developers, you will work alongside researchers to bring their ideas to life … will help shape the tooling and infrastructure that underpins our NLP capabilities. Key responsibilities of the role include: Profiling, benchmarking and optimising large-scale LLM inference workloads across our compute infrastructure Ensuring efficient deployment of the latest models across a range of GPU architectures, adapting the inference stack as hardware ...

approach to working with Account Executives, the Customer Experience team, and external partners Nice to Have: AI Skills: Experience developing AI agents using Python LLM & AI Standards: Familiarity with LLM integration patterns (e.g., RAG) and emerging standards like MCP for data connectivity and A2A for multi-agent orchestration Why IndyKite ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … Swift and the iOS SDK, including:Experience with Combine or other reactive patterns, and when to prefer them vs. async/awaitFamiliarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UXSwiftUI for building production UIs; familiarity with UIKit and interoperability ...

Research Engineer - AI/Deep Learning/LLM Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods for deep learning, reinforcement learning ...

iterate on features and improve quality over timeTurn complex AI/ML capabilities into simple, intuitive mobile interactionsUse AI tools (e.g., Claude Code/LLM‐based coding assistants) to accelerate development while maintaining a high‐quality, well‐tested codebaseCollaborate across product, design, and backend in a fast-moving environmentWhat … using AI development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and securityFamiliarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UXTrack record building consumer‐facing apps; ideally you've shipped ...

prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability. You have experience in delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, solutions design/architecture, integrating different cloud providers, prompt engineering ...

Backend Software Engineer/Developer (Python LLM MLOps) London/WFH to £90k Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including ...

looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands‐on role for a researcher who can own a major research direction, prototype rapidly, run large … given behavior, drawing from instruction tuning, latent space methods, steering vectors, and/or constrained encoding and decoding methods. Deep, hands‐on expertise in LLM post‐training (SFT, DPO), knowledge distillation (teacher‐student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling). Strong ...