226 to 250 of 2,799 LLM Jobs in England

ability to operate confidently in client-facing environments. Desirable Skills Experience with Microsoft Copilot enterprise adoption, ServiceNow automation, SAP Joule, OpenAI, Anthropic, or enterprise LLM ecosystems. Knowledge of EU AI Act, GDPR, responsible AI, AI risk management, bias review, explainability, and compliance frameworks. Experience delivering AI governance boards, AI approval ...

data ecosystems.Understanding of data engineering concepts, including ETL pipelines, database design, APIs, cloud services, and application development.Familiarity with modern AI development tools such as LLM APIs, RAG architectures, vector databases, and agent frameworks.Experience with software development best practices, including Git, testing, AI coding assistants, collaboration, and continuous learning.The expected base ...

evaluation - Demonstrated success in evaluating emerging AI technologies and translating technical possibilities into practical implementations. Agentic AI - Emerging expertise in agentic AI systems, including LLM-based agents, tool use and reasoning frameworks for autonomous task execution. Our Package Tailored benefits make a real difference. That’s why we offer ...

/CD Prior experience in the fraud domain and a strong understanding of fraud detection techniques Experience designing and deploying LLM-based solutions in production We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. ...

practical role focused on solving real business problems, not building demos that never leave the prototype stage. Requirements Experience building and deploying AI or LLM-powered applications used by real users Strong Python engineering skills Experience with prompt engineering, tool calling and model integrations Experience designing and consuming REST APIs ...

cloud platforms such as AWS, Azure, or GCP; hands‐off deployment experience is beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen. Familiarity with AI‐assisted coding tools such as Claude Code ...

Snowflake (Snowpark, Cortex) and dbt Practical ML Ops experience, e.g. MLflow or similar, Git, CI/CD, containerisation, automated retraining and monitoring Experience with LLM and GenAI tools, both for your own development workflow and for data enrichment (e.g. classifying or extracting structure from unstructured text) Experience in hospitality, membership ...

discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises. Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding ...

large-scale consumer applications Previous experience as a site lead, office lead, or similar multi-team leadership role Background in building infrastructure for LLM training or inference Contributions to open-source infrastructure or AI infrastructure projects Experience scaling teams from 0 to 20+ engineers Active involvement in the London ...

building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply ...

motivated, adaptable, and comfortable diving into challenging, ambiguous projects. If needed capable and willing to obtain Government Security Clearance. Nice to Have AI/LLM integration experience (APIs, RAG, tool calling, agent frameworks, hosted or local inference). Background improving legacy systems through testing, refactoring, and reducing technical debt. Breadth ...

priority or high risk work. Responsibilities Set technical direction and architectural standards for AI/ML, NLP, and generative AI solutions across teams, including LLM powered workflows, RAG systems, retrieval, ranking, and recommendation capabilities. Guide how scientific metadata, ontologies, taxonomies, and knowledge assets are integrated into AI workflows, favouring reusable ...

real-world problems Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences Even better... Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that ...

product sense and commercial instinct - you can connect work to P&L outcomes and defend value trade-offs. Active practitioner of applied AI/LLM tooling in your analytics or prototyping workflow. Excellent storytelling - credible into senior commercial stakeholders. It would also be great if you have: Familiarity with ...

scale. Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems Automation and orchestration services (particularly within Azure) Work with containerised environments (e.g. Docker) and contribute to cloud ...

scale. Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems Automation and orchestration services (particularly within Azure) Work with containerised environments (e.g. Docker) and contribute to cloud ...

scale. * Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). * Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems * Automation and orchestration services (particularly within Azure) * Work with containerised environments (e.g. Docker) and contribute to cloud ...

production, we’d love to meet you! You will be responsible for: Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating ...

retrieval quality assessment, hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red‐teaming Strong LLM and Generative AI engineering fluency, including prompting strategies, retrieval‐augmented generation, context and memory design, function and tool calling, guardrails, observability, and failure‐mode analysis ...

building and scaling engineering teams, including hiring senior engineers and developing leaders Experience leading delivery of production AI/ML systems, ideally including LLM-based applications or agents Strong understanding of the ML lifecycle in production: data pipelines, training, deployment, monitoring, and governance Demonstrated experience leading effective use of approved ...

design trade-offs, platform constraints, and integration patterns Experience designing and operating model monitoring frameworks — drift detection, performance tracking, alerting Exposure to GenAI/LLM deployment in enterprise settings Cloud platform experience — Azure preferred Experience working in regulated industries — insurance or financial services strongly preferred Demonstrable experience with responsible ...

rate — with evidence. Deep practical security integration experience across the pipeline, including supply chain controls. Hands-on exposure to production AI/ML or LLM systems, including how they are evaluated, deployed and monitored. Technical skills: CI/CD: Azure DevOps, GitHub Actions, GitLab, Jenkins; artefact repositories; GitOps and progressive ...

equivalent) and CI/CD R or Python as primary everyday language. PostgreSQL in-production: Comfortable around data pipelines and warehouses. Experience running LLM-backed systems in production, gateways, orchestration frameworks, observability. Deployment and testing open weight models. PostGis and Frontend UX design experience advantageous but not essential Career experience ...

Core Responsibilities Develop end-to-end data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data engineers to ensure solutions are scalable and production ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...