3,026 to 3,050 of 4,051 LLM Jobs in the UK

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 ...

highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading research scientists and engineers to conceive, design, and develop cutting edge LLM applications that help to unlock new modelling capabilities and predictive power which will be critical to the organisation’s success. You will draw upon your … core research in machine learning by pushing the boundaries of Large Language Models in their application to the world of drug discoveryDevelop and refine LLM-driven approaches for multiple use cases across our research areas, using your extensive knowledge of the field to modify and apply models and explore their ...

Summary We are looking for a researcher/research engineer to help mitigate the security risks that come with building AI systems-especially LLM-powered web agents and chatbots. In this role, you'll design and implement secure-by-design architectures, audit our LLM-powered web agent (https://… direction on how we identify, measure, and reduce security risk across AI products. Responsibilities Design and execute adversarial evaluations to uncover failure modes in LLM-powered web agents and chatbots (e.g., prompt injection, tool abuse, data exfiltration) Analyze model behavior (including internal thoughts) to understand and forecast security risks ...

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 ...

honest this sprint than something perfect next quarter.Key Responsibilities: Role AccountabilitiesBuild AI features quickly and properly – from prompts and context design through to full LLM integration in established C# .NET codebases.Make them production-grade – error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer.Stay sharp … experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement.Systems, Tools and TechnologyC# .NET (primary development language)Large language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation ...

this sprint than something perfect next quarter. Key Responsibilities: Role AccountabilitiesBuild AI features quickly and properly – from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade – error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. … understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and TechnologyC# .NET (primary development language)Large language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks ...

this sprint than something perfect next quarter. Key Responsibilities: Role AccountabilitiesBuild AI features quickly and properly – from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade – error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. … understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and TechnologyC# .NET (primary development language)Large language model APIs across multiple providersAI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering and context design patternsRetrieval-augmented generation (RAG), vector search, embeddings (desirable)Evaluation frameworks ...

refine your craft as a research engineerCare about the societal impacts of AI and responsible scalingStrong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scaleContributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh ...

data and implement recommendations that improve search visibility, AI discoverability and content performance.Experience using platforms such as Conductor, Google Analytics, Google Search Console, Adobe LLM Optimizer, SEMrush, Screaming Frog, ContentKing or similar tools.Experience leveraging AI-powered tools, agents and LLMs to support content analysis, optimization, auditing and performance improvement activities.Strong ...

sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly – from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade – error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. … with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# ...

degree or equivalent practical experience. 1 year of experience with data structures and algorithms. Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows. Preferred qualifications: Experience in Java and SQL. Working with complex distributed systems and data-flow. Collaborating with teams that have different domain expertise ...

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 ...

# Research Engineer, Safety Oversight, DeepMindat Google • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Engineer, Safety Oversight, DeepMind—G## Research Engineer, Safety Oversight, DeepMindGoogle00AI SafetyFull-timeLondon, UKApply Job### Job DescriptionWe aim to turn production ...

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 ...

Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today ...

Citi is seeking a Senior Python developer in Wholesale Credit Risk Technology in Belfast. You will design and deliver innovative tech solutions for front office and Credit Risk, collaborating with onshore and offshore teams using ...

job. There are no LeetCode‐style general coding interviews. If you want to prepare for the interviews, we suggest working on hands‐on LLM evals projects (e.g. as suggested in our starter guide), such as building LM agent evaluations in Inspect. Your Privacy and Fairness in Our Recruitment Process ...

Engineering, or related field. Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. Proficiency in C/C++, with additional experience in Python ...

Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today ...

Meet DeepLDeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust ...

learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post‐training. Programming experience in Python and hands‐on experience with frameworks such as PyTorch. Experience writing software and executing complex experiments involving large … Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. Preferred Qualifications Direct experience in generative AI and LLM research. PhD degree or research-focused Master’s degree in ML areas. Client Description Our Client is the largest social media company in the world. ...

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 ...

machine 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 training ...

flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway.You'll join a small, distributed team working on one of GitLab's highest-visibility product bets, collaborating … success rate.Use Ruby on Rails and Python to build reliable production systems, with PostgreSQL, GraphQL, representational state transfer, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway.Collaborate directly with product, design, engineers, design partners, and users to shape scope and make practical trade-offs.Coordinate ...

Key Responsibilities Identify, engage, and develop relationships with AI Native companies, AI startups, research institutions, and enterprises pursuing AI transformation in UK and broader European markets Drive revenue growth for Alibaba Cloud's MaaS offerings ...