101 to 125 of 490 LLM Jobs in the UK excluding London

products Experience integrating LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js ...

without needing a meeting. Data-literate: comfortable with product analytics, experimentation and simple commercial models to support decisions. Familiarity with AI/ML or LLM-based products and what it takes to take them from prototype to production. Experience of media workflows and associated multimedia content localization will ...

Code across Azure and OCI (Terraform, Bicep) Proven design and delivery of CI/CD and automation solutions Experience building and operating AI/LLM-assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...

Code across Azure and OCI (Terraform, Bicep) Proven design and delivery of CI/CD and automation solutions Experience building and operating AI/LLM-assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...

Code across Azure and OCI (Terraform, Bicep) Proven design and delivery of CI/CD and automation solutions Experience building and operating AI/LLM-assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...

encryption, key management and data classification. Familiarity with AI security risks and governance frameworks, including NIST AI RMF, ISO 27001 and OWASP guidance for LLM and Agentic AI applications. Experience working across multiple cybersecurity control domains. Previous involvement in AI-enabled security transformation, control automation or enterprise AI adoption programmes. ...

with C# particularly valuable for candidates without direct Foundry experience. Experience working with Azure cloud services and enterprise AI architectures. Understanding of agent orchestration, LLM integration and production deployment. For the senior position, experience leading development activities and contributing to technical design. Direct Microsoft Foundry Agent Service experience is strongly ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (e.g. automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...

financial services. Desirable experience Designing and delivering platforms from the ground up. Working in banking, fintech, payments or another regulated sector. Deploying AI or LLM features into production. Cloud development using AWS, Azure or GCP. Containers and infrastructure as code. The package Youll receive a £80,000£95,000 salary ...

able to translate research into recommendations for varied audiences Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Direct experience researching LLM/RAG-based products, chatbots, or other AI-assisted decision-making tools Experience delivering digital services within UK central government or the wider public sector ...

about what can actually be built Proven ability to translate a discovery conversation into a buildable solution outline and delivery roadmap Proven API-level LLM usage and a strong appetite for agentic dev tools such as Claude Code, Cursor or Gemini CLI A generalist spirit, thriving on variety, ambiguity ...

audiences Degree in Computer Science, Artificial Intelligence or a related field Nice to Have: Payments domain expertise Experience with NLP, conversational AI agents or LLM application development frameworks Knowledge of cloud and data platforms Why You Should Apply Now Principal level AI engineering roles with genuine organisational scope - defining strategy ...

flex during peak delivery periods to meet critical deadlines Skilled in leveraging firm-approved AI-assisted productivity and engineering tools (e.g., GitHub Copilot and LLM models/assistants) to accelerate product delivery (requirements, analysis, documentation) while adhering to data handling, risk, and usage standards Preferred qualifications, capabilities, and skills Product ...

systems expertise – Hands-on experience building multi-agent systems, agentic workflows, tool-using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations Advanced cloud-native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud-native AI systems at scale; experience … optimizing cost and performance of production LLM deployments Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with credit ratings agencies is a significant advantage Startup or innovation team experience – History ...

security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...

across industries, building production-grade software that connects to and supports agentic AI systems understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This is not a stepping-stone role: it is a core engineering function in the most in-demand part … Responsibilities Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers Apply AI across ...

Location: UK (Remote) Compensation: £85,000 £90,000 + up to 11% bonus Contract: Permanent, Full-Time Visa Sponsorship: Not available. Must have right to work in the UK without sponsorship. Reports to: Head of ...

deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration. LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs. Cloud Platforms: Strong proficiency … experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code: Proficiency with Terraform or equivalent. Evaluation and Monitoring: Experience with evaluation-driven development and LLM observability tooling such as Langsmith, Langfuse, Braintrust, or similar. CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins). Database ...

systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine learning, automated ...

skills and the ability to influence senior stakeholders without formal authority Desirable: Experience in financial services or another regulated industry Hands-on work with LLM application frameworks, agents or AI-enhanced CI/CD pipelines Benefits & Package £80,000-£90,000 salary Hybrid working model (2 days a week ...

first two technology hires supporting the CTO & Chief Digital Officer in building that platform from the ground up. Key Job Responsibilities: Build document intelligence. LLM-based extraction of structured data from the documents private markets run on: CIMs, financial statements, term sheets, legal agreements, DDQs. Build the knowledge layer. Retrieval ...

first two technology hires supporting the CTO & Chief Digital Officer in building that platform from the ground up. Key Job Responsibilities: Build document intelligence. LLM-based extraction of structured data from the documents private markets run on: CIMs, financial statements, term sheets, legal agreements, DDQs. Build the knowledge layer. Retrieval ...

Minimum 1 years of substantive, hands-on AI-native engineering experience as part of your day-to-day work. This may include building with LLM APIs, coding agents, agent frameworks, tool integrations, retrieval systems, evaluation frameworks, or production guardrails. Minimum 1 year of experience building reliable AI or agentic systems ...

multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Responsibilities: Serve as a developer ...