876 to 900 of 2,758 LLM Jobs in England

Accenture is seeking AI Native Software Engineers to design, build and deploy production-grade AI systems in London and Birmingham. Role offers work across Agentic and Applied AI, with scope varying by experience and ownership. ...

Accenture is seeking AI Native Software Engineers to design, build and deploy production-grade AI systems in London and Birmingham. Role offers work across Agentic and Applied AI, with scope varying by experience and ownership. ...

Lendable is building world-class AI-powered fintech systems. This role focuses on applied AI engineering, Python development, and designing scalable AI workflows to automate complex finance-related tasks. You’ll work on chatbots, document ...

A leading financial services firm is seeking an Applied AI ML Director specializing in NLP and LLM. The role involves developing machine learning solutions, collaborating with diverse teams, and driving innovative projects using cutting-edge ...

writer.com is seeking an experienced AI Engineer to shape how enterprises leverage superintelligence through AI solutions. This role involves architecting and deploying scalable AI applications in a hybrid environment at our London hub. You will ...

Anaplan is seeking a hands-on Platform Lead to head our MLOps infrastructure and guide a high-performing DevOps team in London. You will define the AI/ML infrastructure roadmap, automate multi-cloud provisioning ...

Backend Software Engineer/Developer (Python LLM MLOps) London/WFH to £90k Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including … frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Backend Software Engineer/Developer (Python LLM MLOps RAG MCP) opportunity. ...

Develop and refine real‐time TTS models with natural prosody, stable speaker characteristics, and fast inference. Build and experiment with end‐to‐end and LLM‐based speech‐to‐speech translation systems, including streaming and one‐shot approaches. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization ...

more years of professional software engineering experience. Direct experience putting LLMs, foundation models, or agentic systems into production at scale. Working comfort with the LLM harness layer: token economics, retrieval, evaluation, structured output, large-scale data processing through models. Strong working comfort with Python. Track record of designing systems that ...

learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre‐training a large model from scratch (Transformer/LLM/multimodal/time‐series). Experience limited to API usage or prompt engineering is not sufficient. Experience building large-scale data pipelines and distributed ...

learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre‐training a large model from scratch (Transformer/LLM/multimodal/time‐series). Experience limited to API usage or prompt engineering is not sufficient. Experience building large‐scale data pipelines and distributed ...

distributed training (multi-GPU/node, GPU clusters), understanding associated memory and communication challenges. Real model-engineering experience in physics/simulation, vision, or LLM systems, with a focus on data-driven system improvement. Solid Python platform and backend foundations: API design, workflow orchestration, and practical Docker/Kubernetes/ ...

example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative … evolve our open-weights serving stack - real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) - alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that ...

teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. ResponsibilitiesDevelop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design ...

communicate insights effectively * Experience with quantitative analysis and problem-solving * Curiosity and attention to detail when exploring new datasets * Familiarity with modern AI or LLM tools and an interest in their application within analytics What They Offer * Salary up to £45,000 * Hybrid working model with regular collaboration ...

automation initiatives from idea through to implementation Identifying opportunities to improve processes and solve business problems through technology Exploring and prototyping AI, LLM, copilot and automation solutions Helping assess and select appropriate technologies and approaches Developing workflows, prompts and digital solutions Working closely with technical and non-technical stakeholders ...

Looking For Degree (BS, MS, or PhD) in Computer Science, Machine Learning, or related discipline, or equivalent practical experience Deep technical understanding of LLM training and evaluation, with hands‐on experience in areas such as evaluation design, data curation, reinforcement learning, or reward design Strong software engineering skills and experience ...

complex technology projects- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules- Experience working with agentic AI systems, or LLM-powered applications in productionAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting ...

benchmark problems pretending to be progress. It's intrinsically end-to-end: spotting problems that matter, specifically where there's an advantage in developing LLM skills, and pushing them through the full development process. You will be working with our traders, figuring out what constraints exist, what data looks like ...

networks, specialist labour pools and AI service capabilities into measurable client outcomes and a predictable, defensible revenue pipeline. The named target landscape includes frontier LLM labs (Anthropic, OpenAI, Google DeepMind, Mistral, Cohere), physical AI and robotics platforms (Wayve, Isomorphic Labs, NVIDIA, Figure, 1X, Skild AI), and adjacent enterprise AI buyers ...

networks, specialist labour pools and AI service capabilities into measurable client outcomes and a predictable, defensible revenue pipeline. The named target landscape includes frontier LLM labs (Anthropic, OpenAI, Google DeepMind, Mistral, Cohere), physical AI and robotics platforms (Wayve, Isomorphic Labs, NVIDIA, Figure, 1X, Skild AI), and adjacent enterprise AI buyers ...

trade-offs Product sense and the ability to think beyond ticketsWillingness to work mainly from the London office Optional Bonus Experience with AI products, LLM workflows, or agent-style systems Exposure to data-heavy platforms, ontology layers, or workflow orchestration Shortlisted candidates will be contacted within 48 hours. #J ...

networks, specialist labour pools and AI service capabilities into measurable client outcomes and a predictable, defensible revenue pipeline. The named target landscape includes frontier LLM labs (Anthropic, OpenAI, Google DeepMind, Mistral, Cohere), physical AI and robotics platforms (Wayve, Isomorphic Labs, NVIDIA, Figure, 1X, Skild AI), and adjacent enterprise AI buyers ...

years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures ...

scrutiny from AI and Security peers, and document the methodology so it survives Required Qualifications/Skills Demonstrated hands-on experience applying AI/LLM models to real security testing or vulnerability research Strong software engineering ability: can read, navigate, and reason about large, unfamiliar codebases directly, across multiple languages ...