151 to 175 of 3,011 LLM Jobs in England

About the team: Embedded Innovation Teams are cross-functional squads embedded within our segments to rapidly turn internal AI experimentation into validated, reusable solutions, building the capabilities we need to deliver customer value and growth. ...

Senior Software Engineer/Senior AI Engineer Are you excited about building intelligent systems powered by innovative AI technologies? Do you enjoy designing models that turn complex data into impactful solutions? About the team: Embedded ...

rapidly evolving AI capabilities into reliable, scalable systems that deliver measurable value in real-world commercial environments . You will work across agent orchestration, LLM and vision-language model integration, retrieval, multimodal data, evaluation and production infrastructure. You'll be expected to understand not only how to make … wider team. What We're Looking For You'll ideally have: 6+ years of professional software engineering experience , including several years working with LLM-based, generative AI or agentic systems. A demonstrable track record operating at Senior, Lead or equivalent engineering level. Commercial experience building and shipping multi-agent ...

beyond the engagement. What We're Looking For You'll ideally have: 6+ years of professional software engineering experience , with several years working on LLM-based, generative AI or agentic systems. A strong track record operating at Senior, Lead or equivalent engineering level. Commercial experience building multi-agent or agentic … accuracy genuinely matter, we'd like to hear from you. Please apply with an up-to-date CV outlining your experience with agentic AI, LLM systems, production software engineering and relevant security clearance. We are committed to creating an inclusive working environment and welcome applications from candidates regardless of race ...

driven operations. Over the course of the first year, the organization intends to incorporate AIOps and ML‐assisted observability — anomaly detection, intelligent alert correlation, LLM‐assisted runbook generation — into how we monitor and respond to our platform. You will be the technical owner of how that gets introduced, prioritized against … where device reliability and cloud reliability are jointly owned. Experience building or integrating AIOps platforms for automated incident triage and remediation. Familiarity with large language model APIs or agentic AI frameworks applied to on‐call automation or runbook generation. Experience with messaging systems such as Kafka or RabbitMQ. Familiarity with ...

applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement … industry best practices to drive continuous innovation. Qualifications and Skills 5+ years of software development experience in commercial environments. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel ...

applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement … Skills 5+ years of software development experience in commercial environments. Strong programming expertise in Python, Java, and JavaScript. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. ...

Implement auto-scaling, spot instances, and down-scaling policies to eliminate waste, while providing full visibility into the unit economics of training and serving LLM models. Observability & Incident Response: Establish 24/7 incident response, telemetry, and observability metrics to monitor system performance, model drift, and data pipelines. Data Governance … infrastructure. Your Skills Extensive production experience deploying and supporting ML systems. Proven track record of leading engineering teams. Demonstrated experience with Generative AI and LLM deployment patterns. A proven history of reducing cloud spend on large-scale AI clusters. Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix. Expertise ...

build scalable AI solutions. Key responsibilities will include: Leading the technical design and delivery of Generative AI and Machine Learning solutions Designing enterprise-grade LLM, RAG and AI agent architectures Building and integrating conversational, voice-to-text and speech-based AI solutions Developing AI applications using commercial and open-source … other voice AI/speech technologies Designing solutions across AWS and GCP Building AI services using AWS Bedrock Evaluating and integrating foundation models and LLM platforms Building APIs, data pipelines and integrations between AI services and existing enterprise systems Leading technical decisions around scalability, performance, security and AI governance Taking ...

working monitoring and documentation. Technical skills Essential Programming: Strong Python (async, typing, testing, packaging). Working competence in TypeScript/Node is a plus. LLM application engineering: Hands‐on production experience with frontier models, prompt and context engineering, structured outputs, tool and function calling, streaming, token and context‐window management. … Data engineering: Building ingestion and enrichment pipelines over messy structured and unstructured sources, documents, PDFs, object storage. Evaluation: Building eval harnesses and eval datasets, LLM‐as‐judge with its limits understood, regression testing of prompts and agents, metric selection per use case. Cloud: Production delivery on AWS (incl. Bedrock), Azure ...

Implement auto-scaling, spot instances, and down-scaling policies to eliminate waste, while providing full visibility into the unit economics of training and serving LLM models. Observability & Incident Response: Establish 24/7 incident response, telemetry, and observability metrics to monitor system performance, model drift, and data pipelines. Data Governance … infrastructure. Your SkillsExtensive production experience deploying and supporting ML systems. Proven track record of leading engineering teams. Demonstrated experience with Generative AI and LLM deployment patterns. A proven history of reducing cloud spend on large-scale AI clusters. Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix. Expertise ...

featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. Adapt agent workflows, models, tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications …/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with high availability, autoscaling, load testing, incident management or restricted environments. Experience applying AI to scientific ...

emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi ...

years of professional software engineering experience, with strong proficiency in Python (or a comparable modern language). Hands-on production experience building and shipping LLM-powered applications, including advanced prompt engineering, retrieval, agent development, and evaluation. Demonstrated experience designing and building end-to-end RAG pipelines and integrating LLM solutions … Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems. Experience implementing responsible-AI or AI-governance controls such as guardrails, human-in-the-loop oversight, and audit trails in production. Experience mentoring engineers ...

least one modern programming language such as Python or Golang. Familiarity with APIs, databases, and cloud-based applications. Interest in AI tooling and LLM-based applications, including personal or academic projects using tools such as OpenAI APIs, LangChain, RAG pipelines, or similar frameworks. Strong problem-solving skills and willingness ...

Design, develop, test and maintain cloud-native microservices and REST APIs using Python and relevant frameworks such as FastAPI , FastMCP and Temporal. Contribute to LLM-powered applications and the supporting services used to develop, deploy, observe and operate them. Integrate data technologies such as PostgreSQL, Redis and Elasticsearch, following established … approved AI‐assisted development tools responsibly, verify generated outputs and protect confidential, customer and personal data. Nice to Have Contribution to Generative AI, large language model or AI‐enabled software solutions. Work with cloud‐native or distributed systems in a cybersecurity, data‐intensive or similarly complex domain. Task‐specific coaching ...

Helicone, or Weights and Biases. Strong programming skills in Python, proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow. Expertise in LLM architectures (OpenAI, Anthropic, LLaMA, Mistral, and similar) and RAG implementation. Familiarity with frameworks like LangChain and LlamaIndex. Experience with CI/CD for AI (GenAIOps ...

interact with Moody's platforms and third-party services via MCP and related protocols, and define the patterns other engineers build againstImplement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integrationBuild and deliver compelling proofs of concept, live demonstrations ...

Data Science & AI Delivery Lead City, London (Hybrid - 3 days per week) £90,000 - 120,000 per annum, 15 - 20% bonus target We're looking for an experienced Data Science & AI Delivery Lead to lead ...

RESPONSIBILITIES Lead the technical strategy, architecture, and delivery of AI applications from discovery and experimentation through production and scale. Work with client executives, product leaders, architects, and engineering teams to identify valuable AI opportunities and ...

based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows, alongside classical ML where appropriate. Apply ML techniques to forecasting, segmentation/CLV, causal inference … including model/data-use documentation and technical input to risk, privacy, and controls assessments. Required qualifications, capabilities and skills Familiarity with AI/LLM development patterns and frameworks, including prompt engineering, RAG, LangChain/LangGraph and/or Google ADK. Strong Python and SQL; able to write clean, production ...

based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns and agentic workflows, alongside classical ML where appropriate. Apply ML techniques to forecasting, segmentation/CLV, causal inference … audiences. Support required governance activities, including model/data-use documentation and technical input to risk, privacy, and controls assessments. Familiarity with AI/LLM development patterns and frameworks, including prompt engineering, RAG, LangChain/LangGraph and/or Google ADK. Strong Python and SQL; able to write clean, production ...

Drive – the operating manual for how we behave. AI & Machine Learning Experience Deploying and operating machine learning models within enterprise environments. Experience with LLM-powered applications, agent frameworks and retrieval systems. Familiarity with prompt engineering, evaluation frameworks and AI safety controls. Experience with reinforcement learning, fine-tuning or model customisation ...

support. Desirable Insurance experience (specifically in the Lloyd's market), pricing or underwriting in a regulated environment. Practical experience deploying generative AI or LLM based solutions. Altogether, this role suits a hands-on data scientist who can own the full lifecycle from problem framing to production and translate that work ...

/ticketing data. Handling incomplete, inconsistent or changing enterprise data. Known-vs-unknown or confidence-based classification. Semantic matching and contextual retrieval. Deterministic + LLM hybrid workflows. Human-in-the-loop workflows and approval gates. LLM/agent evaluation and output validation. Guardrails, audit trails and observability. Preferred Domain Experience … investigation. Qualifications 5–8 years of professional experience in software engineering, AI/ML engineering, data engineering, GenAI or related roles. Demonstrated experience building LLM/GenAI applications beyond proof-of-concept chatbots. Practical experience implementing agentic workflows, tools or orchestration. Strong analytical, debugging and problem-solving skills. Ability ...