26 to 50 of 359 LLM Jobs in London

organisational challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As an AI LLM Architecture Specialist, you will: Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies ...

concepts and cut through industry hype to focus on practical outcomes Solution Development Help shape AI-enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept ...

data transformation initiatives. This position is ideal for someone with strong hands-on experience across AI/ML architecture, cloud AI services and large language model technologies, alongside the ability to communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities Translate senior stakeholder vision into AI/ ...

least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. · Strong coding skills in Python, with ...

from you. Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Full-time Job Functions Analyst Skills Large Language Models (LLM ...

data and documents as well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control. GenAI/LLM capabilities, document intelligence, workflow automation, GCP migration expertise, CloudOps. ...

debate and align to unified decisions. Own operability: CI/CD, monitoring/alerting, performance optimisation, safe rollbacks. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Help evolve our reusable product templates and shared architecture across ...

Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup or scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience ...

libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and GitHub Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. ...

define Generative AI opportunities and use cases Lead client workshops and shape AI strategy and roadmaps Architect and deliver scalable AI solutions, including LLM and agent-based systems Lead end to end delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice ...

product mindset with strong collaboration across engineering, product and design teams Nice to Have Experience using Python within product development Exposure to AI/LLM-driven products Experience with microservices architectures What’s on Offer £90,000 – £110,000 base salary Bonus scheme Hybrid working (2 days per week ...

other regulatory checkpoints. Implement automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns ...

mindset, able to set architectural direction and foresee emerging trends. Advanced knowledge of AI and ML technologies, including generative AI, agentic architectures, RAG pipelines, LLM integration, and responsible AI governance. Strong multi-cloud expertise with GCP, AWS, and Azure, including serverless, event-driven architectures, IaC, and container orchestration. Proven ability ...

data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing ...

core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives. What we expect: Within days: Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences. Release your first code, we believe in the “You Build It, You Run It” principle Work directly ...

concept. AI Engineer Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling ...

concept. AI Engineer Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling ...

business strategy, enterprise standards, and regulatory requirements. Key Responsibilities: Enterprise AI Architecture & Roadmap: Define and maintain the AI reference architecture and implementation roadmap, covering LLM platforms, data pipelines, knowledge graphs, APIs, microservices, and event-driven architectures across hybrid cloud environments. Governance & Standards: Establish AI governance frameworks, policies, and playbooks ...

. You will work on creative cutting-edge AI applications, turning data into impactful solutions. What You Will Do Build and deploy ML and LLM-based solutions Prepare data, engineer features, and ensure quality Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems ...

learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling ...

Data Scientist (Contract, GenAI) We’re hiring a Principal Data Scientist to work on cutting-edge Generative AI and LLM-based systems, with a strong focus on the mathematical and analytical side of data science. This role is less about building models from scratch and more about understanding, evaluating ...

monitoring, and incident analysis. Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirement: Strong experience with Generative AI, Machine Learning, or LLM-based solutions. Deep expertise in AWS cloud architecture and DevOps practices. Experience with Python, JavaScript, or React. Hands-on experience with Terraform or AWS CDK. ...

same stack, and the same mission. The difference is your specialism. ────────────────────────── 1. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps ...

legal environment. This is a deeply hands-on engineering role focused on shipping reliable systems used by real customers. Key responsibilities Build and deploy LLM-powered features across drafting, prosecution, and litigation workflows Design and maintain RAG pipelines over large, complex legal and technical corpora Own systems from prototype through ...

design patterns AI/ML Infrastructure Feature engineering architecture ML pipeline and deployment workflows Experience supporting production ML systems Familiarity with embeddings, vector databases, LLM orchestration (desirable) Data observability and model monitoring Platform & DevOps CI/CD for data workflows Git-based engineering standards Docker/containerisation Infrastructure-as-code ...