1 to 25 of 353 LLM Jobs in London

services, and user-facing interfaces. Develop GenAI, Agentic AI and machine learning solutions that are scalable and production-ready. Design and implement RAG pipelines, LLM-powered applications and intelligent agents . Integrate AI solutions with enterprise platforms and cloud environments . Collaborate with data scientists, engineers and business stakeholders ...

platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. As a Senior Lead Analyst ...

Kubernetes based deployments, GPU compute infrastructure. Working knowledge of Generative AI and hands on experience in deploying and hosting Large Foundational Models. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning, Retrieval Augmented Generation techniques and Context embedding, Vector database technologies and Semantic Search techniques & tools. Experience in writing ...

accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery, PoC, productionisation, monitoring ...

software engineering, or data engineering. Programming experience (especially Python) Experience writing clean, maintainable Python code. Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows. Agentic frameworks in Python is a plus ...

include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. ...

Kubernetes, and GPU-based compute infrastructure. Working knowledge of generative AI and hands-on experience deploying and hosting large foundation models. Experience with large language model architectures such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience ...

conversational AI systems • Experience with patient-facing systems • Familiarity with cloud infrastructure (GCP, AWS, or Azure) • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique ...

with Amazon Bedrock APIs, SageMaker (Training Jobs, Inference Endpoints), and Vector Databases. · Frameworks: extensive experience with LangChain, LlamaIndex, or LangGraph for building agentic workflows. · LLM Techniques: Practical experience with Prompt Engineering (Chain-of-Thought, ReAct), RAG optimisation, and model evaluation techniques. Advantageous Skills · Middleware Integration: Practical experience building recipes ...

Augmented Generation applications, AI agents and systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats. Experience building chatbots, search systems, or generative ...

encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault). • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements. • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. ...

production AI systems at scale. Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit-Learn, JAX, XGBoost, OpenCV and Transformers. Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment. Strong stakeholder communication skills Nice to haves: Experience in industrial/ ...

discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles. Demonstrated track record of implementing and fine-tuning LLM/AI workflows. Strong competency leveraging Gen AI in your daily tasks to speed up efficiency. Excellent communication skills, able to work across departments, engage with senior ...

pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops. Communicate insights clearly ...

scoped service accounts; integrate BeyondCorp for zero trust access. Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs ...

scoped service accounts; integrate BeyondCorp for zero-trust access. Operationalise observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs ...

Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML engineering, orchestration, and modern AI best practices. Communicate system behaviours, risks, and outcomes ...

120k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud ...

structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This ...

regulatory and governance frameworks (HIPAA, 21 CFR Part 11).* Exposure to RWE, biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ...

environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform ...

environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform ...

CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs & SDKs: Anthropic, OpenAI, Gemini - prompt design, tool use Python/TypeScript: Primary languages for agent + backend development LangSmith/Observability: Tracing, evaluation, debugging ...

Azure AI Foundry Experience designing AI governance frameworks, model risk management and Responsible AI controls Background in delivering MLOps, intelligent document processing (IDP) or LLM-based solutions at enterprise scale ...

problem-solving, and mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...