126 to 150 of 669 LLM Jobs in England

Modules Understanding of Oracle AI Services and Solutions Understanding of AI ecosystems, full technical stack - Prompt Engineering, Agentic AI, MCP Servers, API's, LLM usages, Headless applications Understanding of AI Governance approach and Data Security/Risks Analyse processes, identify and discuss potential AI use cases with stakeholders, focus ...

customer data and AI-driven analytics projects, ensuring quality and impact. Manage and mentor junior consultants and data scientists, supporting their professional development. Apply LLM and Generative AI techniques to real-world marketing and customer use cases. Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. ...

cloud platforms (AWS, GCP, Azure), Docker, Kubernetes, message queues (Kafka, RabbitMQ), and event-driven systems is highly desirable, along with exposure to AI/LLM integrations. You'll bring strong system design skills, an ownership mindset, and the ability to operate in fast-moving, ambiguous startup environments where speed ...

rollout and adoption Working closely with business stakeholders to understand workflows and identify improvement opportunities Using AI tools such as Microsoft Copilot and other LLM technologies to enhance operational processes Assessing new technologies and determining whether existing platforms can solve the problem effectively Collaborating with technical teams, SMEs and third ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent … features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments ...

About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey ...

focused engineer who enjoys building real, production-grade systems rather than experimental prototypes? Do you want to work at the cutting edge of LLM-powered products in a fast-moving environment? This could be the role for you! The Role As an AI Engineer, you’ll be responsible for developing ...

with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external ...

Contract AI/ML Engineer to join their team in the UK. The role requires significant experience with AI/ML engineering, particularly in LLM-based applications and RAG architectures. Responsibilities include designing model evaluation frameworks, optimising retrieval pipelines, and collaborating with stakeholders. Ideal candidates will have strong hands ...

. AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP LLM Top 10 and Agentic AI threats . Familiarity with NIST AI RMF is a massive plus! Your Mission: Identity & Access Specialist As our Identity Lead ...

execution rather than experimentation for experimentation’s sake. Scope of Role Design, build and deploy AI-powered products and applications Develop production-grade LLM solutions and agentic workflows Build RAG architectures and knowledge retrieval systems Integrate AI applications with internal platforms, tools and business systems Identify opportunities where ...

infrastructure. The Role Depending on level, responsibilities are likely to include: Designing and building scalable AI systems and internal AI tooling Developing and deploying LLM-powered applications and agentic workflows Working across retrieval systems, prompt engineering and orchestration frameworks Building production-grade APIs and AI services Partnering with senior stakeholders ...

JPMorgan Chase & Co. seeks a Vice President Data Scientist in London to drive business transformation using advanced analytics, LLM, and machine learning techniques. Candidates must showcase strong collaboration with stakeholders and have a solid understanding of financial services. This role emphasizes designing AI workflows and requires proficiency in Python, along ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (e.g. automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...

monthly Talk to users, shape the roadmap: Sit in the trenches with founders on calls that define what we build Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time Own the stack: Python, TypeScript, cloud infra, from commit to production Turn prototypes into production ...

strong attention to detail Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts Interest and experience in LLM, agentic systems is a plus, but not essential #J-18808-Ljbffr ...

similar) Experience with workflow automation tools (e.g. Power Automate, Logic Apps or equivalent) Familiarity with document management and collaboration platforms Exposure to AI/LLM technologies and intelligent automation is highly desirable Experience working in legal services, legal tech, or professional services environments Understanding of corporate/transactional workflows (e.g. ...

problems, not just technical solutions Have scaled TypeScript projects Enjoy refining and customizing your AI workflow into the early hours Building AI agents or LLM‐powered systems that go beyond simple prompting. Bonus points for: Academic or applied experience in machine learning, especially if you can bridge the gap between ...

Snowflake, S3 and Postgres platform into an AI-ready ecosystem Building scalable data acquisition and ingestion pipelines across multiple data sources Developing LLM and RAG-powered services and experiences Creating new Data Production and Data Discovery capabilities Partnering with Analytics teams to deliver clean, accessible and valuable data Managing ...

Engineering: Production experience designing Agentic architectures (chains, tools, memory). Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution. Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking. Bonus Points Background in Engineering workflows or simulation platforms. Experience building internal developer platforms ...

problems, define MVP scope, make trade‐offs, and drive to measurable customer outcomes. Preferred Qualifications Startup or internal incubation experience. Experience integrating AI/LLM capabilities into product experiences responsibly. Track record of accelerating teams through strong technical leadership. Experience operating in PM‐light environments where engineers help drive prioritisation ...

data platforms and technologies such as Snowflake, SQL-based data environments and a range of operational data sources. Good understanding of Generative AI and LLM-related engineering patterns, with the ability to lead teams in applying these capabilities pragmatically, securely and responsibly in an enterprise setting. Strong strategic thinking ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent … features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments ...

Position Summary We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance ...

Job Summary Senior Solution Architect (AI) – Salary: £90,400 - £120,000 – Location: Bristol – Hours: Full-time – Working Pattern: Hybrid (at least two days per week or 40% of time at an office). About this ...