401 to 425 of 2,835 LLM Jobs in England

practices.* Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs.* Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions.* Awareness of governance, security, and compliance considerations relating to data ...

seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data‐driven applications in collaboration with Product, Business and Engineering teams. ...

highly skilled Managing Consultant with hands‐on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product ...

Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

Server REST APIs Microservices Docker What we're looking for Strong commercial experience developing backend applications in C# and .NET. Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

computer science or a related discipline, or equivalent work experience required advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle exposure to model risk ...

computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure to model risk ...

designed Time spent at a startup or scaleup (roughly 30 to 100 people), not exclusively large corporate environments Hands‐on experience shipping AI or LLM features to production: agentic workflows, RAG, or tool use Strong SQL and solid experience with PostgreSQL or an equivalent relational database A genuine preference ...

environments Ability to navigate complex technical and organizational environments independently Strong communication and problem-solving skills Nice To Have Familiarity with Generative AI systems, LLM applications, AI infrastructure, or model deployment workflows Experience working in financial services, healthcare, government, or other regulated industries Familiarity with enterprise security, governance, compliance ...

degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferredStrong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, WindsurfSolid understanding of the ML lifecycle; exposure to model risk ...

delivering large, complex software engineering systems It would also be nice if you have: Have experience with Backend development - ideally Python Experience working with LLM’s and OpenAI's API in particular Have worked as a Product Engineer or worn a product hat in the past Have worked in small ...

platform remains both powerful and trustworthy The opportunity is massive: you’ll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform This isn’t about saying “no”—it’s about finding creative ways ...

Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster. What ...

onboarding and growth tracking. Concretely, that means leading the team(s) across surfaces like: Diagnosis & needs assessment — AI-heavy services (retrieval-augmented generation (RAG), LLM-scored assessment) that turn raw signal into a picture of where a learner or employer actually is. Prescription & eligibility — build the product which helps learners ...

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor Who were looking for Were looking for a Lead Software Engineer with a path ...

ideally Power Platform/Power Automate. Knowledge representation, taxonomies/ontologies, and versioned/temporal data. Understanding of how data structures feed RAG and LLM retrieval quality. SQL proficiency; experience with orchestration tools (e.g., Airflow) and cloud data services. Familiarity with data governance, security, and privacy practices. Strong documentation ...

platforms, application programming interfaces, and modern software delivery practices. Hands-on experience designing and deploying AI and machine learning solutions in production, including large language model applications, evaluation frameworks, observability, and operational support models. Demonstrated ability to quantify business value, prioritise a portfolio of initiatives and track outcome realisation beyond ...

core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you’ve built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don’t have ...

related field, or equivalent professional experience. Even better... AI-related experience (experience developing AI agents a plus). Experience building or deploying AI/LLM systems in production Background as a founder, engineering lead, or startup builder with high ownership and urgency Familiarity with tools for todays AI agents: eval ...

platforms, mentor senior engineers and collaborate with cross-functional teams to align AI initiatives with business goals. The role focuses on Generative AI, LLM integration, RAG architectures and advanced prompt engineering, with a flexible hybrid work model balancing office presence and remote work. #J-18808-Ljbffr ...

integrating AI capabilities with existing applications and data. What we're looking for Strong Python development experience Hands-on experience building Generative AI/LLM applications Experience with RAG pipelines Understanding of AI agents/agentic workflows AWS experience Experience taking applications into production You'll need to be comfortable ...

deployment processes, methods, and tools.Providing architectural support and assurance to DevOps teams, with application of agile practices.Ability to work with cutting-edge AI LLM technologies, producing work in conjunction with models such as Anthropic Claude, whilst experimenting and exploring different methods of co working with AI.Your education and qualifications should ...

control, network segmentation, vulnerability management and audit logging. Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability. Very strong automation and scripting skills, for example Terraform, Go, Python or similar. Experience with incident management, problem management, demand forecasting, and production readiness ...

define the long‐term quality and governance model for federated MCP contributions across LSEG.Skills* Strong Python experience for test harnesses and automation.* Experience with LLM and RAG evaluation frameworks or custom evaluation pipelines.* Test automation expertise covering unit, integration, and regression testing.* Understanding of agentic system risks and failure modes. ...