1,776 to 1,800 of 2,324 LLM Jobs in London

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 ...

Our client is a leading global investment bank. Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. JOB DESCRIPTION ...

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 ...

into live accounting, legal and advisory workflows every week. What you bring 3+ years of experience building production-grade machine-learning, data or LLM-powered systems. Strong experience with Python, data engineering, retrieval, LLM applications and evaluation. A Master's degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics ...

AI. Job Summary: As a Generative AI Executive Director in the Chief Analytics Office, you will lead the design and delivery of production‐grade LLM systems that power mission‐critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption … scale. Job Responsibilities: You will architect scalable APIs and agentic workflows, enabling automation and efficiency across the firm. Architect and deliver production LLM‐based systems for text, image, speech, and video applications. Own end‐to‐end delivery, performance, and continuous improvement of LLM Suite products. Working closely with ML Engineering ...

model, and production readiness standards. Decide when to use agentic AI, deterministic flows, NLU, Knowledge AI, xApps, or human handover. Define reusable patterns for LLM Prompt nodes, tool schemas, Resolve Tool Actions, context management, API integrations, fallback handling, escalation, and error recovery. Provide technical direction to Cognigy AI Engineers, review … voice AI, or agentic AI solutions. Strong hands-on Cognigy AI architecture and delivery experience, including Flows, Voice Gateway, Agentic AI tool calling, LLM Prompt nodes, Knowledge AI, xApps, Playbooks, Insights, environment management, and reusable solution patterns. Strong practical understanding of LLM prompting, tool design, tool orchestration, structured tool results ...

decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science strategy for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated … will build living systems that learn and respond in real time. You will do this at internet scale, developing low-latency ML and LLM-powered systems evaluating content safety, brand suitability, misinformation risk, and emerging content risk vectors across massive real-time traffic streams, making billions of decisions ...

decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science strategy for LLM-powered classification and semantic understanding, real-time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI-generated … will build living systems that learn and respond in real time. You will do this at internet scale, developing low-latency ML and LLM-powered systems evaluating content safety, brand suitability, misinformation risk, and emerging content risk vectors across massive real-time traffic streams, making billions of decisions ...

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 ...

regression testing infrastructure. Developing a performant fault-tolerant distributed checkpointing system. Key Responsibilities: Build and own the training framework responsible for large-scale LLM training. Design distributed training abstractions (data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, checkpointing).Improve training throughput and stability on multi-node … LLMs or other large transformer architectures. Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).Experience with data pipeline optimization, sharded datasets, or caching strategies. Background in performance engineering, profiling, or low-level systems. Bonus: paper ...

J.P. Morgan in London seeks an Applied AI Scientist to advance ML and generative AI capabilities. You will design experiments, implement production-ready solutions, and collaborate with product, data, software, and ML teams to deploy ...

Nationwide is seeking a hands-on AI Engineer to turn emerging AI technologies into practical solutions that deliver real business value. You will design, build and deploy AI-powered products using Azure AI Foundry, Azure ...