1 to 25 of 83 Remote/Hybrid LLM Jobs in London

document processing. Your Responsibilities Design, develop, and deploy AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. Build and operationalize LLM-based applications, including prompt engineering, model customization, and grounding strategies. Develop intelligent document processing pipelines using Azure AI Doc Intelligence for tasks such as classification ...

Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure ...

high-quality outputs. Skills & Experience Agentic AI experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes ...

expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working closely with stakeholders Building reusable AI components ...

guardrails, and evaluation tools across text, audio, and video modalities. Build and test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets ...

Applications are reviewed on an ongoing basis, and all candidates must have the right to work in the UK. AI Engineer, Machine Learning Engineer, LLM Engineer, Artificial Intelligence, Python, LangChain, LangGraph, DSPy, AWS, Remote Jobs UK, EdTech Jobs, AI Start-up, Auto Assessment, NLP, Multimodal AI, Evaluation Frameworks, ML Engineering ...

business workflows Lead complex AI implementations, ensuring solutions deliver measurable value Evaluate and select appropriate models, frameworks, orchestration tools and platforms Architect and scale LLM-powered applications including chatbots and agent-based systems Produce thought leadership content and contribute to go-to-market propositions Maintain strong awareness of emerging technologies ...

Python development background Hands-on experience working with Large Language Models (LLMs) Experience with AWS services such as Bedrock, Lambda, S3, Lex and CloudWatch LLM evaluation and prompt engineering/optimisation Experience leading or mentoring engineers Strong communication skills with the ability to influence technical and non-technical stakeholders What ...

predicting user engagement, building AI-based search engines, recommender systems, or similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical ...

Work with a world-class team at the intersection of Fintech and Private Equity. Modern tech stack: Azure AI Studio, Foundry, and the latest LLM orchestration frameworks. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level ...

Experience * Strong programming expertise with Python.* Hands on experience working with Large Language Models (LLMs).* Experience with cloud services - AWS preffered* Knowledge of LLM evaluation, testing and prompt optimisation.* Excellent communication skills with the ability to influence stakeholders and work effectively in cross functional teams.* Experience mentoring and developing ...

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 ...

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 ...

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 ...

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 ...

them Ability to think like both a builder and an attacker Cloud-native experience (containers, Kubernetes, modern infrastructure) Interest in AI/GenAI/LLM security (commercial experience preferred, not essential) No prior financial services experience is required. Engineers from big tech, scale-ups, and high-growth startups are strongly ...

years of commercial experience Are already hands-on with TypeScript, React, and Python Have solid software engineering fundamentals Are interested in AI/LLM-powered features and keen to build real-world experience Enjoy building, shipping, and learning rather than just talking about tech Bonus (not essential): Exposure to infrastructure ...