3,426 to 3,450 of 4,042 LLM Jobs in the UK

Client Server in London provides a hybrid role for an AI Engineer focusing on Python backend development and LLMs. You will design and implement APIs, build intelligent agents, and integrate tools into scalable workflows. The ...

Databricks is seeking a highly motivated Solutions Architect for the UK&I region, based in London. You will work with Account Executives to design and present Data & AI solutions, including Generative AI concepts, to enterprise ...

Moody's is seeking an Assistant Director-level Product Manager to lead AI integration across Moody's business services, making capabilities consumable by AI agents. You will define how capabilities are exposed and packaged for ...

LexisNexis Intellectual Property Solutions (LNIP) is seeking a Senior Data Scientist I to help design and validate AI-driven capabilities within Protégé for PatentSight. You will define what to build, drive experiments, and translate results ...

Data Intellect is a data and technology consultancy that builds AI systems for Tier 1 banks and hedge funds. You will design and ship agents that call tools, query client data, and reason over it ...

慨正橡扯 is looking for a Senior Software Development Engineer III to drive the development of GenAI products in a hybrid work environment. This position involves a hands-on approach, working on applications that leverage AI ...

Gradient Labs is building an AI-driven customer operations platform for financial services. We want engineers who can ship practical AI solutions that handle live conversations and automate back-office processes. You will design prompts ...

technology company developing cutting-edge software solutions. This is a specialist Python-focused engineering role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies click apply for full job details ...

Accenture London is seeking an AI Large Language Model (LLM) Technology Lead/Principal Architect to act as the definitive technical authority on AI architecture in client engagements and across the practice. You will own end-to-end architecture of advanced AI platforms, spanning classical ML and generative AI, aligning ...

evaluation benchmarks.Minimum qualifications:PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.Experience with training generative models (Large Language Model (LLM), image, video).Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).Experience conducting research.Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).Preferred … London, UK; Zürich, Switzerland.PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.Experience with training generative models (Large Language Model (LLM), image, video).Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).Experience conducting research.Publication record in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). ...

scale advanced models in production environments. Lead efforts in optimizing TTS pipelines for performance and scalability, particularly focusing on GPU utilisation. Implement and maintain LLM (Large Language Models) and transformers, ensuring efficient inference on a large scale. Integrate and manage LLM-based inference servers like Triton, TensorRT, or TorchServe … scaling machine learning solutions in production. Strong Python programming skills. Proven experience in deploying and optimising LLMs/transformers in production environments. Knowledge of LLM inference servers (e.g., Triton, TensorRT, TorchServe). Experience with GPU scaling for large-scale machine learning models. Expertise in deploying complex machine learning pipelines ...

Minimum qualifications PhD degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience with training generative models (Large Language Model (LLM), image, video). Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience conducting research. Publication record in AI conferences (e.g., NeurIPS, CVPR ...

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 ...

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 ...

core research team on the systems they live inside. What we’re looking for High‐performance, large‐scale distributed systems experience, preferably for LLM workloads. Proficiency in Python and PyTorch or JAX. Hands‐on experience with large‐scale LLM training or inference technologies, e.g., SGLang, vLLM, verl, Megatron, OpenRLHF. Good ...

team with expertise developing and analysing attacks and protections for systems based on large language models or who have broader experience with frontier LLM research and development. An ideal candidate would have a strong track record of performing and publishing novel and impactful research in these or other areas … LLM research. We’re looking for: Research Scientists , who typically lead technical direction –pickingthe questions, designingthe experiments, and owningthe conclusions (typicallyevidencedby a strong publication record). Research Engineers , who typically lead execution – building the systems and code that make thoseexperimentspossible at scale, and owningreliability, speed, and reproducibility. In practice, wecan ...

want it Building the systems that analyse malware, not analysing it by hand Malware and threat research background, plus real software engineering, plus LLM tooling Three to five years experience, they are hiring on talent not seniority Series A deep tech, NATO backed investor, around 20 people Salary competitive ...

Hudson River Trading (HRT) is seeking an LLM-focused AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful AI models, which are used by our trading teams to drive a significant fraction of our trading. … LLM team within HAIL builds large language models from scratch — pretraining, post-training, and serving — that are deployed across the firm to accelerate research, engineering, and trading workflows. Our goal is to produce LLMs that are genuinely best-in-world for the use cases we care about.In this role ...

team with expertise developing and analysing attacks and protections for systems based on large language models or who have broader experience with frontier LLM research and development. An ideal candidate would have a strong track record of performing and publishing novel and impactful research in these or other areas … LLM research. We’re looking for: Research Scientists , who typically lead technical direction –pickingthe questions, designingthe experiments, and owningthe conclusions (typicallyevidencedby a strong publication record). Research Engineers , who typically lead execution – building the systems and code that make thoseexperimentspossible at scale, and owningreliability, speed, and reproducibility. In practice, wecan ...

systems background with equivalent research depth.You have a strong foundation in production ML systems, inference optimisation, or model serving at scale — direct experience with LLM inference, speculative decoding, quantisation, or serving infrastructure is a meaningful differentiator.You are comfortable operating across the full model lifecycle — from training handoff through to production ...

training instability Build and maintain research infrastructure: training pipelines, experiment tracking, and evaluation harnesses Publish papers and engage with the broader RL and LLM research community Collaborate closely with the engineering team to bring research innovations into production training Requirements We're looking for exceptional individuals who can operate … step RL tasks and the specific challenges they present Experience with distributed training infrastructure and running experiments at scale on GPU clusters Background in LLM training methodologies (pre-training, post-training, fine-tuning) Experience working at a frontier lab on critical path research About General Reasoning General Reasoning ...

team With Expertise Developing And Analysing Attacks And Protections For Systems Based On Large Language Models Or Who Have Broader Experience With Frontier LLM Research And Development. An Ideal Candidate Would Have a Strong Track Record Of Performing And Publishing Novel And Impactful Research In These Or Other Areas … LLM Research. We’re Looking For Research Scientists, who typically lead technical direction – picking the questions, designing the experiments, and owning the conclusions (typically evidenced by a strong publication record). Research Engineers, who typically lead execution – building the systems and code that make those experiments possible at scale ...

/post-training (SFT, DPO, RLHF/RLAIF) at scale Data engineering & synthetic data pipelines Agentic frameworks, reasoning, tool use, memory systems Evaluation & benchmarking (LLM-as-judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: - PhD or Master's in CS/AI/ ...