1,051 to 1,075 of 2,011 LLM Jobs in London

driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also … setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About ...

evaluation rigor directly affects the business. We expect that a successful candidate will be able to own the data science side of a production LLM system end-to-end: partnering with stakeholders to build early prototypes, designing evaluation frameworks, measuring agent quality, and turning ambiguous "is this good?" questions into … scale. Partner directly with underwriting and business stakeholders to scope problems, assess feasibility, and build early prototypes (e.g. PoC agents, rapid evaluation of an LLM approach) before committing engineering investment. Stay involved from prototype through to production, working with ML/software engineers to harden, scale, and maintain what ...

England) and Mr. Andy Palmer (former CIO, Novartis). The Role Pangaea is looking for a skilled AI Engineer to build and productise LLM and agent capabilities in Pangaea’s AI Platform. This is an applied product engineering role rather than primarily a model-training or research position. You will … Responsibilities Collaborate with clinicians and product stakeholders to translate clinical problems into explicit data contracts, system behaviour and success measures. Design and ship LLM and agent workflows for clinical evidence extraction, retrieval, reasoning, patient identification, guideline-driven review and conversational experiences. Build robust LLM integrations using structured outputs, schema validation ...

Security Engineer to join a leading global financial institution, working on the development and security of the organisation's next-generation Generative AI and LLM-based applications . This is a specialist engineering role focused on designing, developing and enhancing a GenAI prompt security platform , helping protect enterprise AI applications … with Engineering, Cyber Security and Operations teams across the organisation to build secure, scalable solutions and automated security testing capabilities for a range of LLM use cases. Key Responsibilities Design, develop, optimise and enhance a GenAI prompt security platform . Build and automate security testing frameworks to validate protection mechanisms ...

Title Senior Machine Learning Engineer Job Description As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. You’ll experiment, iterate, and ship quickly, working alongside a cross-functional … push the boundaries of what’s possible with AI. What you will be Doing Build & Iterate Fast: Design, experiment, and deploy production LLM and agentic systems. Quickly test hypotheses, optimise, and iterate based on real‐world feedback and eval results. Own Evals: Build and maintain the evaluation harness that tells ...

Title Senior Machine Learning Engineer Job Description As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. You’ll experiment, iterate, and ship quickly, working alongside a cross-functional … push the boundaries of what’s possible with AI. What you will be Doing Build & Iterate Fast: Design, experiment, and deploy production LLM and agentic systems. Quickly test hypotheses, optimise, and iterate based on real-world feedback and eval results. Own Evals: Build and maintain the evaluation harness that tells ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies … needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at our client within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable … optimize performance pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at our client within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable … optimize performance pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across ...

reason over enterprise documents at volume, without giving up accuracy, security or governance. It's a product engineering role with complex systems and LLM-in-production problems underneath it. The same service handles a customer's first ten documents and another's ten million, runs in our cloud and inside … grasp of computer science fundamentals. We care about solving real problems with the right data structure, not reciting one from a textbook. Experience shipping LLM-backed products to production is a strong plus: prompting, evaluation, and everything else that turns a model into a feature people will trust. Familiarity with ...

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event‐driven patterns, meeting service level objectives Partner with product, operations, risk … PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human‐in‐the‐loop and user feedback signals into ...

Data Scientist Department: Dev & Engineering Employment Type: Full Time Location: United Kingdom Description About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE ...

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives Partner with product, operations, risk … PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human-in-the-loop and user feedback signals into ...

model and prompt registries, model and version governance, monitoring and alerting, and rollback strategiesArchitect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectivesPartner with product, operations, risk … PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodelsExperience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scalingExperience integrating human-in-the-loop and user feedback signals into iterative improvement ...

software engineering experience, including technically leading engineering teams and delivering complex, production-quality systems at scale. Deep, current experience building agentic AI applications , including LLM orchestration, Retrieval Augmented Generation (RAG), tool and function calling, MCP, memory, evaluation and agent harnesses. Strong Python software engineering experience. Demonstrable knowledge and experience with … solid grounding in secure-by-default engineering, observability and production operability. Practical knowledge of AI security practices, including the OWASP Top 10 for LLM and Generative AI applications and OWASP guidance for agentic AI. Previous experience working within Information Security or Security engineering environments would be beneficial. Frontend development experience ...

promotion of model artefacts from development through UAT to production Write evaluations for agent behaviour (offline test sets, regression suites in CI/CD, LLM-as-judge checks) and instrument services with OpenTelemetry tracing Apply enterprise-authorized AI-assisted development tools to improve code quality and delivery speed, validating … driven services in a cloud environment Experience with data processing frameworks such as Apache Spark and working with large structured datasets Working knowledge of LLM‐based application development, including prompting, tool calling, retrieval, and evaluation Experience using approved AI‐assisted software development tools, with sound judgement on validating outputs Understanding ...

secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address … coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors. Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across ...

prospects, prioritize opportunities, retain accounts, and deliver differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities — including LLM-powered features, AI agent frameworks, and MCP servers — to accelerate both internal tooling and customer touchpoints. You'll join an existing Senior Solutions Architect … tools and technologies,evaluating their fit for the platform architecture, and presenting technicalrecommendations to the team. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automaterepetitive commercial processes. ...

AWS is seeking a Senior GenAI/ML Specialist Solutions Architect (SSA) for large enterprise customers in United Kingdom of Great Britain and Ireland (UKI). You'll be instrumental in driving the adoption of ...

Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you have the opportunity to shape the future of workforce analytics and drive meaningful change. You’ll collaborate with talented ...

Description Everything we do within WTW Global Technology has a global focus at its heart. We aim to provide colleagues with consistent technology, experiences and operations wherever possible. The AI Technical Platform Leader will be ...

## Senior Forward Deployed Engineer (AI)Applylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R5705The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access ...

from the ground up Building and leveraging AI technology to enhance product features and development workflows We build with technology like: Python & ML/LLM ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres & Kafka About … supported by excellent software engineering fundamentals.Strong programming skills in Python and experience with typed application languages such as TypeScript.Practical experience with modern ML and LLM systems, including structured outputs, retrieval, tool use and evaluation.Strong understanding of experimental design, model limitations and systematic error analysis.Experience building and operating cloud services, including ...

Reference: BBBH3709C_1778773875AI EngineerSalary: Up to 85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer ...

Company Description Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding ...