2,351 to 2,375 of 4,044 LLM Jobs in the UK

000London AreaMachine Learning Engineer – LLMsWant to build LLM-powered systems that have to work reliably in the real world We’re looking for an exceptional Machine Learning Engineer to help build and deploy production-grade AI systems, with a particular focus on LLMs and modern generative AI.This … work across models, data, evaluation and production systems - turning the latest advances in AI into reliable, high-impact products.What you’ll doBuild and ship LLM-powered features and systems into productionDesign robust evaluation frameworks to measure and improve model performanceExperiment with prompting, fine-tuning, retrieval and agentic approachesBuild data ...

prioritizing features based on client value, feasibility, and commercial impact.Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights.Ensure secure, scalable, and compliant use of EY, client, and external data.Client & Stakeholder EngagementAct as a trusted product advisor to client teams and senior ...

features based on client value, feasibility, and commercial impact. Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights. Ensure secure, scalable, and compliant use of EY, client, and external data. Client & Stakeholder EngagementAct as a trusted product advisor to client teams ...

features based on client value, feasibility, and commercial impact. Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights. Ensure secure, scalable, and compliant use of EY, client, and external data. Client & Stakeholder Engagement Act as a trusted product advisor to client ...

Founded in 2012, LADbible Group is redefining entertainment and news for a social generation. Our global community engages with our content–spanning editorial, video, documentary and live – we reach 1 billion people each and every ...

Job Title: Senior Python AI & Data Engineer Job Description This full-time role, based in Sheffield, focuses on designing and delivering intelligent data workflows that connect enterprise systems with large language models and agentic AI ...

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology ...

Responsibilities ITG require a talented and highly self-sufficient Creative Technologist to identify client challenges and rapidly turn them into demonstrable, technology-led solutions. This is a role for someone who thrives on ambiguity, is ...

time reasoning engines that execute business actions safely at scale Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment Apply deep scientific intuition to the design of AI systems, ensuring that models ...

TEKsystems in Sheffield (UK) is seeking a Senior Python AI & Data Engineer to design and deliver intelligence data workflows that connect enterprise systems with large language models and agentic AI solutions. You will build and ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data ...

integrate and operationalise agentic AI systems in production across cloud, on‐prem, hybrid and restricted environments. You will design production architectures for agentic AI, LLM and vision‐language apps. The role requires strong Python, API development, Docker, cloud deployments, and secure, observable production systems. You will build connectors, CI/ ...

hands-on, build-from-scratch role for someone who thrives in ambiguity and wants outsized ownership. What You’ll Do Design, build, and deploy LLM-powered features and agentic workflows into production Work with MCP (Model Context Protocol) and related tooling to connect AI systems to internal and external data … fast-moving startup environment — from prototype to production What You’ll Bring Strong Python skills, with hands-on experience building LLM-based applications Practical experience with MCP or comparable agent/tool-orchestration frameworks Solid cloud experience (AWS and/or Azure) — deployment, infrastructure, and scaling AI workloads Startup experience ...

scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...

users' hands. You will fit right in if you have experience with: Applied AI — Design and build LLM-powered features that solve real workflows, from prompt to production Model Behavior — Reason about why models fail, when to use which model, and how to make them reliable in production Evals & Iteration … look at real documents, debug bad outputs, and make the system better WHAT WE ARE LOOKING FOR TECHNICALLY Strong experience with Python and modern LLM tooling (OpenAI/Anthropic/Azure OpenAI SDKs, structured outputs, function calling) Experience building production AI systems beyond a wrapper around a chat API Comfortable ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self‐serve and engineering ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

service. Serving these safely, securely and at scale needs a dedicated engineering owner. We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

1.0’ systems at the right time Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e Hire/scale the team, while implementing the right processes at the right times to maximise discounted team productivity and minimise discounted dev time ...

guidance service. Serving these safely, securely and at scale needs a dedicated engineering owner.We need to evolve our current Claude, Gemini and other frontier LLM deployments into a coherent, safe and effective strategic deployment platform. You are not coming in to write a strategy deck. Pace and learning … This includes:AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations.The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting); agentic workflow orchestration (a "software factory" in the cloud with hybrid self-serve and engineering ...

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground ...

Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year ...