1,226 to 1,250 of 2,427 LLM Jobs in the UK

days per week in the office Permanent The Opportunity Are you an experienced Security Engineer with a strong interest in Generative AI, LLM security and cyber engineering? We're looking for a talented Security Engineer to join an established technology environment, where you'll play a key role in designing … developing security solutions that protect AI and LLM-based applications from emerging threats, including adversarial attacks and prompt injection. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering and Generative AI, helping to develop secure and scalable solutions within a complex enterprise environment. ...

Finance AI platform. This hands-on leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams. You will design and oversee LLM, RAG, and Agentic AI integrations across Azure, AWS, and GCP, collaborate with architects to ensure secure, maintainable solutions, and set standards for observability, governance ...

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 ...

step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. … experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms—ideally Azure ML, Functions ...

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 ...

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 ...

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, including … user 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 ...

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 ...

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 ...

focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot. Required skills & experience: Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes. Combine … classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands. Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability. Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders. ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase 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 JPMorganChase 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 ...

function faster, smarter, and more scalable. You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI‐powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates … systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one. Design and implement security controls for LLM‐integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope. Own AI security across ...

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 ...

Applied Scientist (AI & Machine Learning) City, London (Hybrid - 3 days per week) £90,000 - 120,000, 15 - 20% bonus target We're looking for an experienced Applied Scientist to help shape the future of AI ...

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 ...

Member of Technical Staff, North Modelling (Evals) Build evaluation systems, feedback loops, and applied modelling workflows to ensure model progress translates into better product outcomes for North users. Define and own the eval strategy for ...

office Extensive experience designing, developing, and supporting applications in a microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Prior experience taking agentic or LLM‐based systems ...

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. ...

office Proven experience designing, developing, and supporting applications in a microservices cloud environment. Personal interest in AI agents — you tinker with agent frameworks or LLM SDKs (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain, or similar) and keep up with the field. Experience contributing to agentic or LLM-based systems ...

Job ID: 10525036 | AWS EMEA SARL (UK Branch) 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 ...

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 ...

ensure you succeed in this role you're going to need... A track record of putting models into production alongside Data Scientists — classic ML, LLM/GenAI, or both Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green … English language skills. English is our company language and is used for business-wide communication. It will also help you to have... Experience with LLM evaluation, observability tooling, or RAG systems in production Experience defining MLOps standards across multiple teams Exposure to cost and latency management for GenAI systems Benefits ...

performance, and fault data.* Develop graph analytics models for network topology, entity relationships, dependency mapping, service impact, and fault propagation.* Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems.* Define network data quality rules, correlation logic … engineering and feature engineering.* Inventory models.* Fault correlation.* TMF SID understanding.* BigQuery or equivalent analytics platform.* Graph APIs and graph analytics.* Digital twin analytics.* LLM understanding.**Preferred Certifications*** Google Cloud Data Engineer or Machine Learning Engineer.* Azure Data Scientist or AWS Machine Learning certification.* Databricks, Snowflake, or equivalent data platform ...