2,276 to 2,300 of 4,045 LLM Jobs in the UK

changing environment. Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements. Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases. Work closely with ...

changing environment. Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements. Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases. Work closely with ...

engineering, or a related field. Strong Python coding skills and experience building practical Deep Learning ML systems. Experience using AI coding tools, coding assistants, LLM‐based workflows, or agentic development tools. Experience training, evaluating, or applying ML models to complex real‐world data. Depth in one or more of: biomedical ...

changing environment. Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements. Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases. Work closely with ...

sensitive user content. Preferred Qualifications Any strong combination of the following is interesting to us — we do not expect all of them: Experience with LLM inference or model serving at scale: batching and scheduling, KV-cache reuse, paged attention, prefix caching, disaggregated serving, speculative decoding, quantisation, or model parallelism. Experience ...

operationalise them in a business context* →Experience managing structured data annotation, human evaluation, or labelling programmes* →Proficiency in Python; familiarity with ML frameworks and LLM APIs (OpenAI, Anthropic, HuggingFace, or similar)* →Excellent project management skills: able to run parallel programmes with multiple contributors and tight quality standards* →Clear, precise written ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology ...

technical challenges Apply clean code, automated testing, CI/CD, observability and other modern engineering principles Build and integrate AI-enabled features, including LLM-powered services, RAG and agent-based workflows where appropriate Use AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar to improve engineering ...

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 ...

build AI products at scale? This is an opportunity to join a growing AI and compliance technology business where you'll own NLP and LLM initiatives from research through to production, working on complex language challenges across enterprise communications data. The Company They are an AI-driven software business operating … concept through to production deployment Build models and pipelines analysing text, audio, video, and other unstructured data Apply both classical NLP techniques and modern LLM approaches Develop scalable, customer-facing AI products and features Work closely with engineering, product, and business teams Contribute to technical direction within a highly experienced ...

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 ...

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 ...

concise risk summaries for FinOps leads and the Security.AI-Driven Innovation: Research, architect, and safely embed cutting-edge AI utilities and Large Language Model (LLM) agents directly into our secure infrastructure.WHAT YOU WILL NEED5+ years in security engineering, platform security, or application security experience.Proven expertise in Threat Modeling. Ability ...

jurisdictions, legal concepts, entities, parties, and other domain-specific metadataDevelop hierarchical and multi-label document classification systems using both standard and customer-defined taxonomiesBuild LLM-based and traditional NLP information extraction pipelines that identify entities, relationships, citations, references, and key concepts from unstructured contentDevelop knowledge graph construction systems that extract ...

graphs.Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.Prior experience working with omics data and familiarity with oncology drug development.Excellent communication skills, with ...

connected devices, and radio behaviour.A REST framework and React-based UI powering the product.Our own SDK (ADK) for rApp/xApp development.An AI Expert LLM built directly into the product for natural-language querying, scenario creation, and analysis.You'll work alongside experienced engineers, contributing to real features from ...

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance ...

productivity 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 AI coding … secure handling of 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 ...

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. ...

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/ ...

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 ...

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 ...

presales engagements within enterprise or consulting environments Strong capability in value-based solutioning including business case development and ROI modelling Experience shaping GenAI, LLM and agentic AI solutions on major cloud platforms such as AWS, Azure or GCP Strong understanding of enterprise AI architecture patterns and solution design Experience supporting ...

SBA are currently supporting our Central Government client who are seeking an AI Evaluation Engineer on an initial 4 month contract. Location: London, Bristol OR Manchester (hybrid office attendance) Overview: The team is looking for ...