1,751 to 1,775 of 2,307 LLM Jobs in London

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 ...

customer data to trained, evaluated, deployable models. Build foundation-model-assisted labeling workflows using tools such as SAM-2, Grounding DINO, open-vocabulary models, LLM steering, and human review. Design self-serve operator workflows using yes/no/maybe feedback and natural-language corrections. Create versioned datasets with lineage … self-serve ML platforms or tools for non-expert users. Experience with lakeFS, DVC, MLflow, Weights & Biases, Kubernetes, Kubeflow, Flyte, Dagster, Airflow, or Argo. LLM application, context engineering, structured output, or LLM evaluation experience. Exposure to radar, AIS, EO/IR fusion, tracking, sensor fusion, robotics, autonomy, UxV, defence tech ...

J.P. Morgan is seeking an Applied AI ML Lead for the LLM Suite Engineering to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems. You will own technical direction across architecture, implementation, and operational stability with a strong focus on secure software. ...

performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism).Familiarity with writing performance-optimized kernels. Understanding of LLM architecture and inference performance dynamics (e.g., Transformer models, memory bandwidth and compute bounds, KV cache scaling).At Google DeepMind our mission is to build … different range of applications. This involves a blend of technical expertise and collaborative problem-solving to ensure both efficiency and quality throughout the entire LLM deployment lifecycle. The role includes opportunities for both IC and TL opportunities, and is open to both Software Engineering and Research Engineering backgrounds. There ...

different range of applications. This involves a blend of technical expertise and collaborative problem-solving to ensure both efficiency and quality throughout the entire LLM deployment lifecycle. The role includes opportunities for both IC and TL opportunities, and is open to both Software Engineering and Research Engineering backgrounds. There … bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance-optimized kernels. Understanding of LLM architecture and inference performance dynamics (e.g., Transformer models, memory bandwidth and compute bounds, KV cache scaling). Responsibilities: Collaborate closely with Research teams to understand ...

Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. You will partner ...

Experis UK is hiring an AI/Machine Learning Engineer to design, build, and scale agentic LLM systems for enterprise environments. The role involves crafting tool-calling frameworks, multi-step planning, and robust back‐end services that support AI-driven workflows. You will work with researchers and engineers to diagnose ...

Job Description Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. Job ...

Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. You will partner ...

Our client is a leading global investment bank. JOB DESCRIPTION Join a global model risk organization at the heart of keeping our client strong and resilient. In this role, you will shape products that enable ...

Our client is a leading global investment bank. JOB DESCRIPTION Join a global model risk organization at the heart of keeping our client strong and resilient. In this role, you will shape products that enable ...

Scientist to design, build, and deploy production-ready AI solutions for financial markets. You will lead the end-to-end development of NLP/LLM-driven products, writing robust Python, and ensuring scalable performance in production. You will partner with engineering and business teams to shape roadmaps, evaluate third-party ...

Hands-on LLM work with Claude and context engineering — good fit for vibe coding around rapid prototyping and building AI-first developer experiences. About the Role Join Anthropic as a Solutions Architect on the Startups Applied AI team to partner with founders and engineering teams, helping startups design, evaluate … deploy LLM-powered products on the Claude Developer Platform. The role combines deep technical expertise, hands-on experience with production LLM applications, and customer-facing sales engineering to drive adoption and scale. Role As a Solutions Architect on the Startups Applied AI team, you will partner with founders and startup ...

Python Skills: Deep experience building and shipping AI solutions. Production Experience: A history of shipping algorithms and/or evaluation pipelines into live environments. LLM Mastery: Practical experience with prompt engineering and modern LLM architectures. Technical Versatility: Familiarity with the full stack (Postgres, TypeScript, React). Clear Communication: Ability ...

capabilities through Microsoft Purview Modern SOC enablement leveraging Defender and Sentinel telemetry alongside broader tooling The secure adoption of Microsoft Copilot and AI/LLM-driven capabilities, ensuring appropriate governance, data protection and access controls What you will do Act as the design authority for Microsoft Security architecture, covering Defender … Secure by Design principles across Microsoft-based platforms and solutions Define and implement security and governance controls for Microsoft Copilot and AI/LLM services, ensuring enterprise data is appropriately protected Assess and mitigate risks associated with AI/LLM usage, including prompt injection, data leakage, over-permissioned access ...

capabilities through Microsoft Purview Modern SOC enablement leveraging Defender and Sentinel telemetry alongside broader tooling The secure adoption of Microsoft Copilot and AI/LLM-driven capabilities, ensuring appropriate governance, data protection and access controls What you will do Act as the design authority for Microsoft Security architecture, covering Defender … Secure by Design principles across Microsoft-based platforms and solutions Define and implement security and governance controls for Microsoft Copilot and AI/LLM services, ensuring enterprise data is appropriately protected Assess and mitigate risks associated with AI/LLM usage, including prompt injection, data leakage, over-permissioned access ...