1,776 to 1,800 of 2,439 LLM Jobs in the UK

Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native applications. You will apply advanced AI techniques to accelerate every phase of ...

Technical Product Manager - GenAI Platforms -AI Developer Platform & Experience- CTO Office Location London Business Area Engineering and CTO Ref # 10052987 Description & Requirements About the TeamBloomberg's CTO Office is the future-looking technical and ...

A Senior Engineer (Ruby on Rails) is required to join one of our clients, who are transforming the automotive space. You will havedeep expertise in architecting, developing, and scaling full-stack web platforms, particularly within ...

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 ...

next generation of product features powered by AI, ML, and intelligent automation. This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will work on backend services, APIs and MCPs that bring automation, prediction, and assisted decision-making … squad, as well as Product Managers, Designers, and applicative squads across Spendesk. Together, you will build production-grade services that expose ML-driven and LLM-driven capabilities in ways that are reliable, observable, and valuable for end users. About the roleAs a Backend Software Engineer (IC3) in the AI & Data ...

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 ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants ) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security Familiarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX Track record building consumer‐facing apps; ideally you’ve shipped ...

features and improve quality over time Turn complex AI/ML capabilities into simple, intuitive mobile interactions Use AI tools (e.g., Claude Code/LLM‐based coding assistants ) to accelerate development while maintaining a high‐quality, well‐tested codebase Collaborate across product, design, and backend in a fast-moving environment … development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security Familiarity with LLM‐driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX Track record building consumer‐facing apps; ideally you’ve shipped ...

technology in software to solve real problems faced by some of the world’s most expert litigators. Responsibilities Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer … balancing real-world constraints such as token limits, cost and latency. Technical Must-Haves Expert-level Python with a track record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding ...

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 ...

JPMorganChase is seeking a Software Engineer, Senior Associate, in the LLM Suite Engineering team. You will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform, writing secure, production-ready code and supporting algorithms that integrate with existing systems. You will collaborate with senior ...

environments. The ideal candidate will have 6+ years of experience in software development, with strong skills in Python or TypeScript, and prior experience shipping LLM-powered features. This is a great opportunity to work in a cutting-edge field of AI. #J-18808-Ljbffr ...

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 post-degree commercial experience in a data science or machine learning role. Education: A technical … 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 ...

value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle. … responsibilities: Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis. Fine-tune language models and optimise LLM performance. Design and evaluate experiments to improve product outcomes. Develop production-ready machine learning solutions. Work with agentic AI systems and modern NLP architectures. Collaborate closely with Product, Engineering ...

value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.Key responsibilities … Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis. Fine-tune language models and optimise LLM performance. Design and evaluate experiments to improve product outcomes. Develop production-ready machine learning solutions. Work with agentic AI systems and modern NLP architectures. Collaborate closely with Product, Engineering ...

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 ...

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 an LLM ...

Python Developer to design, build, and scale GenAI-powered data solutions for financial services. You will lead data pipelines, vector stores, retrieval systems, and LLM-driven apps for risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights. The role blends data engineering, ML/LLM integration, and financial ...

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 ...

judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability … full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform ...

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 ...

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. ...

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 ...

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 ...