476 to 500 of 1,186 LLM Jobs in England

etc.) and with security review processes (SOC 2, ISO 27001, HIPAA, FedRAMP). Experience running on or supporting Bedrock/Vertex/multi-cloud LLM deployments. Experience with regulated customers (financial services, healthcare, public sector) and delivering alongside SI/GSI partners. A track record of public technical communication: YouTube ...

Wave Talent's proprietary candidate universe. A quality-controlled alternative to pure AI hiring tools. The ARR engine. Mothership. Internal data lake with LLM copilot capability. Powers Iron Man Suits, candidate matching, financial reporting, and group intelligence. The infrastructure that compounds every year the group exists. Wave is scaling across ...

work on are genuinely varied: pricing models, propensity and demand signals that sharpen marketing spend, personalised recommendations for our web product and CRM, and LLM‐powered solutions for operational challenges like document verification. You'll translate ambiguous business problems into structured, production‐ready solutions — and you'll be expected … engineering function, you'll be responsible for ensuring your solutions are robust, scalable, and performing in the real world long after they ship. GenAI & LLM Application: Design and build LLM-powered solutions where they create genuine business value — document processing, intelligent search, content understanding, and beyond. Apply them alongside classical ...

annum Location: London What the role covers: Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections. Building and automating a security testing framework to validate protection mechanisms for various LLM use cases. Owning solutions that …/or Go, and associated tooling (Git, Maven, IDEs, Jenkins etc) Expertise in designing and implementing secure APIs and libraries. Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus. Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps. Experience ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer‐facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi‐step IP tasks. Develop retrieval strategies … needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM‐based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. **Key Responsibilities:*** Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).* Define agentic workflows and reasoning strategies for multi-step IP tasks.* Develop retrieval strategies … needs.**Requirements:*** Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).* Strong experience in machine learning, NLP, and LLM-based modeling.* Strong experience designing and running experiments, including model evaluation and iteration.* Strong coding skills in Python.* Experience with generative AI techniques (e.g., prompt ...

execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large‐scale content processing. Own technical design and architecture for data‐science‐enabled applications, ensuring solutions are maintainable, supportable, observable … that team. Reporting to the CTO, you will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large‐scale content processing. You will set its direction, raise its delivery bar, grow its people through hands ...

AI Platform Architect Location: London (Hybrid - 1-2 days per week) Salary: £80,000 - £100,000 + Bonus & Excellent Benefits We're partnering with a global technology consultancy delivering one of the UK's largest ...

About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey ...

Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM‐powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data‐led solutions. Autonomous AI (Emerging): Agent‐based systems … analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based approaches) Other information If you feel that you would be a strong addition to our team, but you do not fully meet ...

GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). …/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills ...

range of qualifications. Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What you’ll do Partner with stakeholders across the business to explore high‐impact opportunities. … full lifecycle: problem framing, data discovery, feature engineering, modelling, evaluation, deployment, monitoring, and iteration. Build and productionize LLM features where appropriate (retrieval‐augmented generation, evaluation, safety guardrails, cost/latency optimization) on AWS. Contribute to DS/ML standards: experimentation, model governance, documentation, and reproducibility. Mentor junior scientists, work with ...

find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical … ready and can be readily adapted to future developments. Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM‐based solutions, and agentic solutions to balance trade‐offs between speed, cost, complexity, interpretability, and performance. Collaborate closely with product, design, and other engineering teams ...

GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). …/data quality/prompt performance, run root‐cause analysis, and implement preventative fixes. Requirements Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Capgemini Invent At Capgemini Invent, we ...

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution ...

seeking a Senior Forward‐Deployed AI Engineer to join the Tactical AI Automations team. This role requires strong technical depth in AI/LLM tooling combined with exceptional communication and stakeholder management skills to deploy AI tools across Portfolio Management and Analytics, drive adoption, and translate user feedback into … Lane Assist and POET (PIMCO's portfolio optimization tools) during European business hours. Project Overview PIMCO is scaling the adoption of AI tools — including LLM‐based assistants, agentic workflows, and internal AI platforms — across its investment teams. The Forward‐Deployed AI Engineer sits at the intersection of users ...

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to ...

Position Principal Data Scientist and Machine Learning Researcher Location Gloucester, South Gloucestershire (hybrid; average 3 days a week on-site), with options to work from Gloucester, Manchester or London Role Type Hybrid Responsibilities Support the ...

Data Scientist - AI - Senior Managing ConsultantIBMLondon, United Kingdom**Description**\*\*Introduction\*\* A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping ...

## Staff Machine Learing EngineerApplyremote type: This position is a hybrid of office/remote workinglocations: United Kingdom - Sunburytime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 31, 2026 (13 days ...

MAIN PURPOSE OF THE ROLE The Lead Data Virtualisation Engineer in MUFG will lead the design, deployment, and adoption of the Starburst data analytics platform for the organization’s first implementation. This role requires deep ...

design, and implement solutions. Mentor junior and mid-level engineers through pair programming, code reviews, and knowledge sharing. Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling. Participate in the on-call rotation and drive improvements that reduce toil and increase system reliability. Operate with … points: Currently developing Go-based microservices for scalable, high-throughput architectures; experience in cybersecurity, SIEM, SOAR, or adjacent security domains; hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks. Benefits Market-leading compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation ...