26 to 50 of 191 LLM Jobs in London

Mitigation: Advise clients on emerging AI risks such as prompt injection, model poisoning, data leakage, and adversarial attacks. Architecture Design: Recommend secure architectures for LLM-based systems, automation workflows, and decision-support platforms. Policy & Governance: Develop security standards and guidelines for responsible AI use, aligned with emerging regulatory frameworks. Collaboration ...

Getting hands-on with design decisions, code reviews and best practices. Working closely with product and design to turn ideas into real solutions. Evaluating LLM performance, tuning prompts and improving model safety. Helping shape the company's GenAI and agentic AI strategy. Benefits Salary up to £110,000 Hybrid working ...

facing products and internal platforms Establish best practices for experimentation, model governance, performance measurement and ethical AI use Define and oversee evaluation frameworks for LLM and GenAI outputs, ensuring accuracy, consistency, bias mitigation and alignment with Chambers standards Provide strategic leadership and oversight for Business Intelligence capabilities, including tool implementation ...

with success selling AI-led transformation programs . Deep experience in solution selling rather than product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security ...

INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce ...

security, deployment patterns, and the safe operationalization of foundation models. AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows. Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls. Key Responsibilities Innovative ...

security, deployment patterns, and the safe operationalization of foundation models. AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows. Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls. Key Responsibilities Innovative ...

hands-on experience building real AI systems, including: Agent frameworks or multi-agent architectures in production environments Long-term memory design and retrieval systems LLM integration via API Integration with collaboration and knowledge tools Permissions, safety, and auditability Delivering working systems, not demos Not suitable for candidates with experience limited ...

compute, storage, networking, IAM, KMS, observability). Demonstrated success in leading teams Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated ...

onsite once per month ) Start: ASAP What you’ll work on Building Agentic AI workflows and automation Designing RAG pipelines for insurance data Developing LLM-powered tools using Python , LangChain , LlamaIndex , and vector databases Evaluating, fine-tuning, and integrating LLMs (OpenAI/Anthropic/Mistral) Collaborating with Data Science & Engineering ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

Process: 1. Virtual Interview2. Virtual (technical) interview3. In-person interview KEYWORDS Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain. ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...

modern TypeScript-based applications Understanding of semantic/graph data (e.g., RDF triples, SPARQL , Amazon Neptune ) Ability to validate AI-supported features, including LLM/RAG behaviours via Amazon Bedrock Knowledge of performance testing for serverless architectures and WCAG 2.2 AA accessibility Familiarity with GDS Standards and testing ...

Strong background in Java programming and modern Java frameworks Proven experience with AI technologies such as: Claude Code, GitHub Copilot, MCP (Model Context Protocol), LLM (Large Language Models) Track record of implementing AI solutions in production environments Experience working in financial services (desirable) Strong collaboration and communication skills What ...

Scientist, AI, Python, LLM, React, UK, Remote to £80,000 A growing Data Analytics outfit are looking for a Data Scientist as they look to build robust platforms to deliver AI Data insights. They are looking for a Data Scientist who has experience with data heavy products, data science ...

business experimenting at the edges. The company is already well ahead of the curve, building new products at the intersection of search intelligence and LLM-driven platforms such as ChatGPT and Gemini. Engineering is genuinely modern AI is embedded into both product and development workflows, with around 70% of code ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

LLMs), and you will assess model-generated responses across diverse topics to ensure they are accurate, well-reasoned, and safe. Evaluate Response Quality: Assess LLM-generated responses to ensure they effectively answer user queries. Rigorous Factchecking: Use trusted public sources to verify claims and spot "hallucinations" (factual errors). Analyze ...

architecture , particularly in designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs). LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails . Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad ...

years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video , or LLM Pre-training . Frameworks: Mastery of Python and PyTorch or JAX . Systems: Experience with distributed training and complex numerical debugging. Randstad Technologies ...

years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video , or LLM Pre-training . Frameworks: Mastery of Python and PyTorch or JAX . Systems: Experience with distributed training and complex numerical debugging. Randstad Technologies ...

methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM-based and data-science-driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. ...