2,101 to 2,125 of 2,913 LLM Jobs in England

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine ...

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants ) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security Familiarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX Track record building consumer‐facing apps; ideally you’ve shipped ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants ) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security Familiarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX Track record building consumer‐facing apps; ideally you’ve shipped ...

technology in software to solve real problems faced by some of the world’s most expert litigators. Responsibilities Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer … balancing real-world constraints such as token limits, cost and latency. Technical Must-Haves Expert-level Python with a track record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding ...

tools (e.g., GitHub Copilot) to accelerate delivery, improve code quality, and enhance documentation and testing. Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities. Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation. Leverages enterprise-authorized … inputs/outputs, and adherence to resiliency and security expectations. Preferred qualifications, capabilities, and skills Experience in working with large data sets. Exposure to LLM integration and deployment in real-world applications. Experience in model risk management or financial services space. #J-18808-Ljbffr ...

tools (e.g., GitHub Copilot) to accelerate delivery, improve code quality, and enhance documentation and testing. Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities. Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation. Leverages enterprise-authorized … inputs/outputs, and adherence to resiliency and security expectations. Preferred qualifications, capabilities, and skillsExperience in working with large data sets. Exposure to LLM integration and deployment in real-world applications. Experience in model risk management or financial services space.J.P. Morgan is a global leader in financial services, providing strategic ...

JPMorganChase is seeking a Software Engineer, Senior Associate, in the LLM Suite Engineering team. You will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform, writing secure, production-ready code and supporting algorithms that integrate with existing systems. You will collaborate with senior ...

agentic AI solutions, focusing on Conversational AI, AI Search and personalized engagement. Collaborating with Product, AI Engineering and Platform teams, you will advance LLM, RAG and agent-based capabilities, ensuring secure, scalable, and responsible AI across customer journeys. #J-18808-Ljbffr ...

product roadmap forward. Tech Stack Includes: AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Experience: Minimum 3 years of commercial experience in a data science or machine learning role. Education: A technical degree … 2.1 or better (or equivalent) from a top university, with a background in a relevant discipline such as Computer Science, Engineering, Economics, or Mathematics. LLM expertise: Experience both coding LLMs into production applications and effectively utilising LLM coding tools in your daily workflow. Statistical rigour: Strong, foundational statistical knowledge. Execution ...

based systems and existing product data to create something that is accurate, scalable and commercially viable. A key challenge will be deciding when an LLM genuinely adds value and when deterministic logic or existing data provides a better answer. You’ll be responsible for areas including: Designing and developing production … grade LLM-powered features and applications Building AI agents, conversational experiences and intelligent workflows Working with technologies such as AWS Bedrock, agent frameworks and MCP Integrating LLM capabilities into existing applications, APIs and datasets Designing hybrid solutions combining AI, rules-based logic and proprietary data Prototyping ideas quickly, testing them ...

value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.Key responsibilities … Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis. Fine-tune language models and optimise LLM performance. Design and evaluate experiments to improve product outcomes. Develop production-ready machine learning solutions. Work with agentic AI systems and modern NLP architectures. Collaborate closely with Product, Engineering ...

Role You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage. Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing … evaluation frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership and customers to shape the roadmap Establishing engineering best practices across development and deployment Your Skills & Experience Strong experience as a Product Software Engineer Proven track record building and shipping ...

Role You will take ownership of product development, helping to build and scale an AI-powered platform from an early stage.Responsibilities include: Building LLM-enabled products and features used by enterprise customers Designing and developing backend services, APIs, and platform capabilities Owning RAG workflows and AI application architecture Managing evaluation … frameworks, testing, monitoring, and quality standards Optimising LLM performance, scalability, and cost efficiency Working closely with product leadership and customers to shape the roadmap Establishing engineering best practices across development and deployment Your Skills & Experience Strong experience as a Product Software Engineer Proven track record building and shipping an LLM ...

AI. What you will be doing: Lead the design, development, and deployment of AI-powered solutions that solve complex enterprise challenges. Build and scale LLM applications, agentic workflows, integrations, and AI-powered automations using modern AI engineering practices. Partner with technical and business stakeholders to shape AI strategy, identify opportunities … enterprise integration experience, with hands-on skills in Python, JavaScript/TypeScript, APIs, and cloud platforms. Practical experience building and deploying AI/LLM solutions, including RAG, agentic workflows, tool use, and AI-powered automation. Strong understanding of modern LLM engineering and responsible AI, including evaluation, security, and data protection. ...

learning, engineering or a related discipline, or equivalent practical experience. Strong Python programming and software-engineering skills. Experience developing machine-learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. … model evaluations and translating research ideas into reliable software. Desirable Experience developing multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with LLM fine-tuning, DPO, GRPO, PPO, RLHF or RLAIF.Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. Experience ...

Python Developer to design, build, and scale GenAI-powered data solutions for financial services. You will lead data pipelines, vector stores, retrieval systems, and LLM-driven apps for risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights. The role blends data engineering, ML/LLM integration, and financial ...

integrations, selective agentic patterns) Translate complex scientific and business problems into robust, well-integrated AI system designs Set the engineering bar for GenAI/LLM applications Mentor engineers and shape architectural direction across the department What you'll bring Track record building and operating LLM-powered systems in production ...

About H H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential. H is hiring the ...

join the Human Influence team . Successful candidates will be strong researchers and engineers with a track record of carrying out scalable work in LLM post-training and fine-tuning , especially with Reinforcement Learning ; or w ith comparable expertise in engineering and validating large-scale evaluation pipelines. Projects the Research … code. Comfortable working with RL environments and using RL or other reward-based methods to post-train or finetune an ML model, ideally an LLM . Writing scalable and maintainable production code in (at least) Python. Comfortabl e with serving, scaling, and containerising ML code , e.g. using Docker, Kubernetes ...

learning, engineering or a related discipline, or equivalent practical experience. Strong Python programming and software‐engineering skills. Experience developing machine‐learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. … evaluations and translating research ideas into reliable software. Desirable Experience Experience developing multi‐agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with LLM fine‐tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. ...

native product area. You'll work in a cross-functional squad to: Turn ambiguous problems into well-designed, scalable AI-powered systemsBuild high-quality, LLM-driven features end-to-end — from prototype to productionDesign and integrate agentic workflows, retrieval systems, and model-orchestration pipelinesDeliver AI solutions that make a measurable … difference for customersYou'll contribute across the stack, with a strong focus on backend APIs and services that power AI/LLM-driven functionality in expenses and procurement. Our Current StackReact Node.jsJavaScript & TypeScriptLLM APIs (OpenAI/Anthropic/similar)Vector databases & retrieval pipelinesThat said, our interview process is technology-agnostic. ...

systems that allow AI agents to operate reliably in real-world environments. This isn't a role where you'll simply be wrapping an LLM API around an existing product. You'll be working on the engineering and architecture behind intelligent agents, figuring out how they should reason, interact with … multi-agent systems Build evaluation frameworks to understand how agents perform and continuously improve their reliability Work on agent workflows, context management, retrieval and LLM infrastructure Turn research and experimentation into robust, production-quality software Solve challenging problems around agent reliability, autonomy, latency and scalability Work closely with highly capable ...