401 to 425 of 2,386 LLM Jobs in England

hands-on Azure experience.* Demonstrable experience driving AI-assisted development in real engineering teams - hands-on with AI-powered development tools, prompt engineering, and LLM-based workflows, plus an understanding of AI governance and responsible AI practices* Strong grasp of software architecture, scalable system design, DevOps, CI/ ...

fixed inputs but as the starting point for understanding the problem What Will Help You Stand Out Hands-on experience with agentic frameworks, LLM APIs, or workflow orchestration tools, whether through coursework, personal projects, or early professional work Experience with AWS or equivalent cloud environments, even at a basic level ...

frontend technology stacks: We use the latest Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL to name a few technologies OpenAI & Claude for LLM interfacing We are not wedded to them and will rapidly evolve over the next 3-6 months with the right technologies Has worked in complex ...

Specialism You will bring expert‐level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production‐grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM‐powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to‐end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

Leave offerings #LI-EU SNGCR01 Required — Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning … production — not just experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills — you debug fast and think in systems Comfortable working with messy, incomplete requirements ...

Leave offerings #LI-EU SNGCR01 Required — Technical Skills Advanced Python — writing clean, production-grade code, not just scripts (OOP, async, packaging, testing) Generative AI & LLM development — prompt engineering, fine-tuning, RAG pipelines, context window management Agentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflows Machine Learning … production — not just experimentation A track record of building working solutions, not just prototypes or proofs of concept Hands-on experience with LLM tooling (Claude, GPT-4, Gemini, or equivalent) Strong analytical and problem-solving skills — you debug fast and think in systems Comfortable working with messy, incomplete requirements ...

About Us: Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing ...

Job description Connect to your Industry Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the ...

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies ...

join a growing AI practice where you'll act as the senior technical authority, designing and delivering cutting-edge Agentic AI, Large Language Model (LLM) and Generative AI solutions for enterprise clients. What you'll be doing: Designing end-to-end AI and LLM solution architectures Building scalable Agentic … multi-agent systems using frameworks such as LangGraph, AutoGen or Semantic Kernel Defining LLM integration strategies, including RAG, prompt engineering, fine-tuning, evaluation and guardrails Establishing MLOps/LLMOps best practices for production AI deployments Providing technical leadership across multiple client engagements, from pre-sales through to delivery Working closely ...

applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement … industry best practices to drive continuous innovation. Qualifications and Skills 5+ years of software development experience in commercial environments. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel ...

applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement … Skills 5+ years of software development experience in commercial environments. Strong programming expertise in Python, Java, and JavaScript. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. ...

hands-on AI engineer with 3-5+ years of experience building production-grade multimodal AI systems and LLM applications. Your responsibilities mirror those of a hands-on AI startup CTO you work in small teams to own delivery of high-stakes customer projects, embedding directly at client sites … makes agents perform well in production and how to systematically improve quality through observability and evaluation. Experience with voice AI platforms, RAG systems, and LLM orchestration frameworks is highly desirable. You bring exceptional communication skills, customer empathy, and the drive to build AI solutions that transform enterprise operations globally. What ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineerto join our AI team. This position will work on a team to accomplish tasks and ...

Transactional Product Manager, Product Owner, Professional Services, Financial Data, Agentic AI, NLP, Central London Transactional/Financial Data/Agentic AI Product Manager is required to join a global Professional Services business based in Central ...

Transactional Product Manager, Product Owner, Professional Services, Financial Data, Agentic AI, NLP, Central London Transactional/Financial Data/Agentic AI Product Manager is required to join a global Professional Services business based in Central ...

hands‐on individual‐contributor role focused on technical leadership in machine‐learning engineering, system design, observability, agentic application delivery, retrieval systems, and fast, reliable LLM inference. Search, Personalization, and Retrieval Design and build scalable AI systems for natural‐language search, semantic retrieval, ranking, recommendations, and personalized guest experiences. Develop … keyword search, embeddings, vector retrieval, reranking, business rules, and real‐time contextual signals. Partner with data scientists to productionize relevance models, recommender systems, and LLM‐powered search experiences. Define online and offline experimentation approaches, including relevance metrics, latency targets, A/B tests, and business‐impact measurement. Fast LLM Inference ...

software engineering capability . Experience implementing AI-enabled engineering workflows . Strong understanding of large language models and agentic architectures . Experience with LLM evaluation, testing, red-teaming and guardrail design . Strong understanding of AI security risks and appropriate mitigation strategies . Experience introducing engineering standards, governance or organisational ...

events or meet key deadlines. Requirements You’ll thrive in this Agent Engineer role if you bring: Practical experience building AI agents, automations or LLM-enabled applications. Strong prompt engineering and agent‐instruction design skills. Experience integrating APIs and business systems. Familiarity with large language models, agent frameworks and tool ...

providing technical support for enterprise AI products, with strong diagnostic and troubleshooting skills across APIs, logs, and browser-level tooling. Familiarity with AI and LLM-based products — you understand concepts such as retrieval-augmented generation, prompt behaviour, and agentic workflows well enough to triage issues and communicate clearly with both ...

convey complex data architecture decisions to both engineering teams and business stakeholders Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage AWS Solutions Architect or AWS Data Analytics certification is advantageous. #J-18808-Ljbffr ...

support events or meet key deadlines You’ll thrive in this Agent Engineer role if you bring: Practical experience building AI agents, automations or LLM-enabled applications. Strong prompt engineering and agent-instruction design skills. Experience integrating APIs and business systems. Familiarity with large language models, agent frameworks and tool ...

with AI-assisted coding tools and ability to validate and understand AI-generated code; Nice to have: hands-on cloud deployment experience, experience with LLM APIs, agentic workflows, retrieval, vector databases, LangChain, LangGraph, or AutoGen. Условия Competitive compensation and benefits; Business connectivity reimbursement for phone and internet; Gym membership ...

established platforms and internal toolingClear communication, particularly across engineering disciplines Nice to Have Experience working alongside machine learning or data engineering teams Exposure to LLM-based systems, RAG, or agent architectures Experience with AWS, and with Bedrock or a comparable model platform Interest in AI-assisted development workflows Locations & Working ...

Strong fundamentals in Python and TypeScript, and a track record of writing clean, well-tested production code in large codebases Production experience building LLM-powered systems: prompting, context engineering, RAG, agent architectures, evals Strong system design skills and product sense, with comfort working across SQL databases and datasets at scale ...