1 to 25 of 33 Remote/Hybrid LLM Jobs in Central London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Product & Technical programme Management (The Architects): - Drive the roadmap for GenAI integration within safety workflows. - Define the "Safety Standard" for AI responses and manage LLM-powered triaging. - Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists): - Build ...

already doing this, you will fit right in. Experience building custom AI agent pipelines for data tasks — not just chat interfaces, but structured LLM workflows for data extraction, classification, or enrichment with programmatic validation. ...

functions, Python packages and REST APIs interacting with AWS Bedrock, OpenSearch, Kendra, DynamoDB, and other services. • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows. • Work with DevOps engineers on day-to-day development, deployment, and operational support. • Contribute to CI/CD pipelines and deployment ...

logs, metrics, incidents, post-mortems, cloud cost ownership, AI cost optimisation Nice-to-Have SAP-style enterprise integration (IDocs, BAPIs, Integration Suite patterns) Production LLM/agentic systems with guardrails and reliability practices What we offer Private health insurance Pension plan Central working location Hybrid working Casual dress code Stocked ...

scope and deliverables High quality execution‐quality execution Realization of committed business benefits Lead the deployment of solutions in areas such as Agentic AI, LLM-based technologies, low-code automation, RPA, workflow platforms, analytics, reporting, and COTS platforms. Translate strategy into actionable execution plans , milestones, and measurable outcomes tied ...

around 75% technical/25% line management ). Your focus will be on enabling the platform to scale intelligently — supporting reporting, APIs, AI/LLM usage, and real-time customer insight . 🔧 What You’ll Do 🌳 Lead and support a newly forming team focused on data architecture and application optimisation ...

linguistic analysis on large multilingual datasets Develop annotation guidelines and evaluation frameworks for language AI systems Support research across machine translation, speech technologies and LLM-based translation Conduct linguistic research, including typology, sociolinguistics and corpus analysis Collaborate closely with research scientists, engineers and language experts Requirements Third level qualification ...

Position: AI -Senior Product Owner Location: London, UK (Hybrid-2 days a week from office) 6 months contract position The Role As a Senior AI Product Owner, you will drive the strategic vision and execution ...

Contributing to the deployment of models into production environments Building and maintaining ML pipelines using AWS services Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines) Implementing best practices in experiment tracking, model versioning, and reproducibility Monitoring model performance and supporting continuous improvement Collaborating … concepts Strong problem-solving ability and willingness to learn in a fast-paced environment Ability to communicate technical concepts clearly Desirable Experience Experience with LLM frameworks (e.g. LangChain) Knowledge of vector databases or RAG architectures Exposure to Docker or containerised environments Familiarity with data processing tools (e.g. Spark, Dask) Understanding ...

engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment … design, and deliver operationally-ready AI and ML solutions Key Responsibilities: Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly Transition validated experiments into production-ready solutions, working closely with other engineers ...

Job Title: AI Engineer/Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer/Machine ...

AI Engineer – Build the Future of Advanced Systems London · Hybrid · Full Time Up to £110,000 + Equity Are you ready to build AI that impacts real users, and pushes the boundaries of what’s ...

future. Your responsibilities: Build and ship production ready AI/ML featuresfrom data ingestion and feature engineering to model training, evaluation, and deployment. Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails) and RAG pipelines (chunking, embeddings, vector search, caching, re ranking). Optimise training and inference performance … Development and Microservices architecture Experience in CI/CD pipelines, and containerization (Docker/Kubernetes)., Harness and Git actions. Practical experience implementing LLM and GenAI solutions, including prompt engineering, model fine tuning, RAG pipelines, embeddings, and vector databases. Build scalable data pipelines and workflows on GCP (Big Query, Vertex ...

Pre Sales AI Architect £100,000-£115,000 base salary + £35,000 Bonus OTE + Benefits London - Flexible Working Across the UK Are you passionate about shaping AI opportunities before they’re built? Do ...

systems that operate in real production environments. This is a senior, hands-on role for engineers who have moved beyond experimentation and have delivered LLM-powered systems that directly impact products, users, or business outcomes. Key Responsibilities Design & Deliver AI Solutions: Partner with Product, Design, and Data teams to shape … powered features that drive meaningful impact for learners and create value for customers. Leverage Large Language Models (LLMs): Design, fine-tune, and integrate LLM-powered solutions for use cases including content generation, semantic search, summarisation, and personalised learning experiences. Build & Integrate Models: Develop, fine-tune, and embed machine learning models ...

energy, and healthcare Liaise with stakeholders internally and externally to understand business problems and translate into technical solutions Requirements: Proven experience building applications with LLM APIs, with a strong understanding of their real-world capabilities, limitations, and failure modes Hands-on experience implementing RAG architectures, vector databases, knowledge graphs … effective prompt/context engineering Experience designing and developing multi-step LLM workflows and agent-based systems Strong programming skills (Python preferred) with experience building production-grade APIs and services Experience working with cloud platforms (AWS, Azure, or GCP) and deploying systems into production £110,000 + bonus + additional ...

long-term platform roadmap, balancing short-term delivery needs with group-level ambition. Evaluate the strategic and economic value of AI/ML and LLM-enabled capabilities in partnership opportunities, technology solutions, and emerging ecosystems. Strategic Translation & Road-mapping Translate corporate and group strategy into clear, actionable roadmaps for Product … platform scope, sequencing, and prioritisation. Ensure the roadmap explicitly considers data pipelines, model lifecycle management, AI governance, and scalable deployment of agentic or LLM-based capabilities. M&A, Partnerships & Ecosystem Strategy Create structured frameworks to evaluate acquisitions, platform partnerships, and build decisions from a technology and platform perspective. Support ...