1,751 to 1,775 of 2,390 LLM Jobs in the UK

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 ...

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 ...

that check outputs against the required format and quality, and use the results to improve the solution. Partner with engineering and AI specialists on LLM orchestration, tool calling, RAG, context management, prompt iteration, model selection, and cost-performance trade-offs. Design human-in-the-loop controls for cases where … iteration, ideally across conversational AI, voice agents and telephony, workflow automation, decision support, diagnostics, or intelligent self-service. Strong working knowledge of multimodal models, LLM capabilities and limitations, prompt engineering, tool calling, embeddings, RAG, and AI observability. Fluency with evals: defining what good output looks like, building eval sets ...

To establish and embed ABP’s enterprise data governance capability so that data is managed as a trusted business asset across policy, quality, stewardship, metadata, master data, privacy, and enabling tooling. The role will work ...

Let's begin! Associate Director-Product Manager (14872) At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

Duties and Responsibilities Lead the design, development, deployment and lifecycle management of AI-powered tools and workflows, including data-wrangling pipelines,visualisationapplications, agentic AIsolutionsand LLM-integrated tools.Ensuresolutions are maintainable, adopted byusersand deliver measurable scientific value. Lead the development and evolution of data infrastructure and data standards for the discovery group … EssentialRequirements Demonstrated experience leading complex computational or AI initiatives from concept through implementation,deploymentand adoption within a scientific environment. Demonstrable experience usingagentic AI frameworks, LLM integration or AI-assisted coding toolssuch asGitHub Copilot, Claude Code or similar in a research or production context. Demonstrableexperience developing and deploying tools ...

reporting, and escalation. Design practical quality controls such as sampling plans, golden datasets, validation holdouts, thresholds, human review, and fallback paths. Use AI and LLM-based tools to improve speed and scale while applying appropriate testing, quality assurance, and human oversight. Translate technical and operational findings into clear recommendations, tradeoffs … issues. Have built practical dashboards, tools, automations, or operating systems and owned them from initial scoping through adoption and maintenance. Can use AI and LLM tools to accelerate real workflows while independently validating outputs and managing failure modes. Understand how to measure technical or operational systems using concepts such ...

We are building the next generation of AI and autonomous agents that can reason, plan, act, and learn to solve critical problems in operations at the huge scale of the world's largest bank. As ...

right operating model for security monitoring, balancing in-house and managed capability and keeping pace with an evolving threat landscape, including AI and LLM-enabled attacks. Measurement and reporting – define and track meaningful detection and response metrics, including MTTD and MTTR, and produce a regular programme metrics report … Engineering degree (preferred but not essential). Experience in financial services, fintech or a SaaS business serving regulated customers. Awareness of AI and LLM security risks, relevant as Pirum's own AI capabilities continue to expand. Benefits Competitive salary and discretionary bonus scheme Hybrid working options 25 days annual leave ...

Product Engineering to build and scale the product from the ground up. Building and shipping AI-powered products end-to-end using LLM technologies. Owning and scaling the retrieval-augmented generation (RAG) and AI application layer. Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching, and token cost … engineering best practices around testing, delivery, architecture, and code quality. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Building and scaling production LLM-enabled products from 0-to-1. Full-stack software engineering with strong backend expertise. Product ownership, architecture, and independent decision-making. Modern technologies including TypeScript ...

Engineering to build and scale the product from the ground up. Key responsibilities include: Building and shipping AI-powered products end-to-end using LLM technologies. Owning and scaling the retrieval-augmented generation (RAG) and AI application layer. Developing secure, production-grade systems including guardrails, evaluation frameworks, monitoring, caching … engineering best practices around testing, delivery, architecture, and code quality. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Building and scaling production LLM-enabled products from 0-to-1. Full-stack software engineering with strong backend expertise. Product ownership, architecture, and independent decision-making. Modern technologies including TypeScript ...

We are looking for a highly motivated Business Support professional who can operate in a fast-moving environment with the ability to handle a dynamic and challenging business agenda. As a Business Management - Vice President ...

code model Build, maintain, and optimise Alteryx workflows for EMEA data processing, with a focus on reusability and low manual-touch operation Embed LLM-based processing steps (using Claude via the Anthropic API) into data pipelines for automated QC checks, data classification, and other AI-assisted manipulation tasks Analyse data … knowledge across one or more environments Genuine interest in how AI and LLMs can be embedded in data workflows — experience with API-based LLM integration is a strong plus Ability to evaluate tools critically and communicate trade-offs clearly to technical and non-technical audiences Familiarity with Jira/Confluence ...