551 to 575 of 2,795 LLM Jobs in England

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team and drive the design, development, and deployment of production‐grade generative AI and agentic solutions using Microsoft technologies. This ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

advanced AI and machine learning solutions. Build, train, validate, and optimize machine learning and deep learning models. Develop Generative AI and Large Language Model (LLM) applications. Create AI-driven automation, analytics, and decision-support solutions. Design scalable data pipelines for AI and machine learning workloads. Develop APIs and software integrations ...

management for decades. In 2026, that framework is being extended — sometimes under regulatory pressure, sometimes proactively — to cover the new generation of ML and LLM models that are increasingly making or influencing decisions that affect customers and markets.Role & Responsibilities:• Design and operate the model governance framework: model inventory, risk tiering ...

MAXTRAMAX is seeking a Senior AI Software Engineer/AI Model Specialist to design, develop, train, test, and deploy advanced AI solutions for commercial, government, and security-focused applications. You will build scalable AI models ...

Nexalytica Ltd. in London, UK, is seeking an AI/ML Engineer to design and improve the core intelligence layer for our conversational analytics platform. You will help the system understand user questions, generate SQL ...

Talent Locker Ltd in Greater London is seeking an AI/ML Engineer who is passionate about building production AI solutions rather than proof of concepts. This position involves designing, deploying, and optimising machine learning ...

product, data and QA to raise answer quality. You should have 5+ years in software engineering with 2+ years in AI/ML or LLM-based apps, strong Python, and direct experience with MCP servers and RAG systems. #J-18808-Ljbffr ...

training and deploying machine learning systems to solve large-scale optimizations PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) Experience with Large Language Model fundamentals, including architecture, training/inference lifecycles, fine‐tuning, continuous pre‐training and optimization of model execution, or experience in developing and deploying LLMs ...

approach works, but why. Comfortable working at pace in a highly ambiguous research environment where priorities can change rapidly. Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in AI/ ...

research ). Drive translational research integrating clinical and genomic data to advance personalised diagnostics for common autoimmune disease. Develop, implement and maintain robust, reproducible LLM-based pipelines, using modern workflow systems and high‐performance computing platforms. Produce rigorous, high‐quality research outputs that advance applied genomic diagnostics and build your ...

goals, then translate them into practical process improvements and AI-enabled solutions.* Identify, prioritize, and document legal AI use cases* Create, configure, and refine LLM-based workflows, AI agents, prompts, evaluation criteria, and human-in-the-loop review steps tailored to legal work.* Work hands-on with large language models ...

certifications and attend industry seminars and relevant continuing education events Monitor and investigate security events involving artificial intelligence, machine learning, generative AI, and large language model technologies. Identify and investigate potential misuse of AI technologies, including unauthorized AI services, sensitive data exposure, prompt injection, malicious content generation, and AI-assisted ...

provide technical guidance. Key Requirements: 6+ years relevant experience Experience with problem framing, AI/ML metrics, Evaluation and development of classical ML + LLM Prompt/RAG basics; Experiment design; model cards. Desirable: Strong analytical and problem-solving skills with attention to details. Clear communication and confidence in working ...

Qualifications What you will bring Expert-level technical depth in AI infrastructure and MLOps, including model serving at scale, inference optimization, vector databases, and LLM-adjacent tooling. Strong scientific HPC literacy (e.g., Slurm, GPU scheduling, scientific-computing workflows) to credibly direct HPC specialists and engage with scientists. Proven engineering leadership ...

pipeline outputs Agentic AI & AI-Assisted Development: Leverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM‐augmented data products Utilize GitHub Copilot (or similar) to accelerate modelling, documentation, and pipeline development Design and define a set of agentic skills that ...

leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in Financial Services. You have delivered technology ...

deployment, observability and cost governance - you turn ML from artisanal to industrial across every AutoThink product. What you'll build A shared ML/LLM platform used by every AutoThink product team. CI/CD for models, prompts and evaluations. Cost and latency observability across every model call. Secure, multi ...

features based on client value, feasibility, and commercial impact. Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights. Ensure secure, scalable, and compliant use of EY, client, and external data. Client & Stakeholder Engagement Act as a trusted product advisor to client ...

runtime and systems software for high-performance AI workloads. The work will focus on improving the performance and efficiency of AI inference, including large language model workloads and multi-accelerator execution. Key Responsibilities: You will: Design, prototype and implement runtime optimizations for AI workloads, with a focus on low-latency ...

cycles that come with them. Experience improving experimentation practice at team or organisational level through frameworks, tooling or enablement. Experience applying AI or Large Language Model capabilities to improve analytical throughput and experimentation quality. Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in‐house ...

SAST, DAST, SCA or secret scanning, into an enterprise DevOps experience in a regulated enterprise, such as financial services Experience building AI agents or LLM-based automation What good looks like in this role After three months: you understand our systems and how we build them, and you have agreed ...

Cost of Ownership (TCO) as a primary metric for build-versus-buy decisions. AI & Agentic Systems Experience: Demonstrable experience taking customer-facing AI/LLM-based agentic services into production, with a clear vision of where automation adds value and where humans must stay in the loop. Software Engineering Excellence ...

scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...