826 to 850 of 2,766 LLM Jobs in England

leaders, contributing to group‐wide thinking on data strategy and product development Lead thinking on how media, creativity and data come together — and how LLM recommendation and agentic commerce will reshape content ecosystems What you need to be great in this role Significant senior leadership experience in analytics, data strategy ...

skills across multiple languages Advanced Azure/OCI Infrastructure as Code (Terraform, Bicep) Experience delivering CI/CD pipelines and automation solutions AI/LLM tooling or agent development experience Knowledge of security, identity management and secrets management Understanding of resilience, disaster recovery and high availability Experience mentoring engineers ...

into production commitments Real fluency in the modern data stack: warehouses, pipelines, and how enterprises actually store and govern data Working knowledge of how LLM and agentic systems are deployed in production, and honest judgment about what they can and can't do today The credibility to hold a room ...

driving revenue outcomes Techno-commercial acumen : Ability to bridge business value with AI & platform capabilities Strong understanding of: Generative AI/Agentic platforms (Gemini, LLM ecosystem) TCS capabilities, solutions, and transformation assets Expertise in consultative selling and value articulation Ability to navigate matrix organizations and drive alignment across: Sales, delivery ...

Collaborate with engineers to make architecture and design decisions Wrestle with data at a scale that breaks assumptions and demands invention Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality Own relationships with stakeholders from the users in the weeds to the executives making ...

performing teams, leverages staff for efficiency. Experience developing and coaching associates to meet business goals. Experience with AI/ML/Gen AI/LLM is preferred. Bachelor's degree or equivalent experience. "I can apply in less than 4 minutes." You've reviewed this job posting ...

innovations. Champion AI in search: maintain deep, practical knowledge of modern AI within search engine marketing – platform-level generative AI features, algorithmic updates and LLM-driven search behaviours – and share what you learn with the wider marketing team. Be the go-to expert: act as the go-to person ...

surveillance/updates for assigned portfolio, synthesising performance, market signals, and peer context into decision-useful insights and clear implications for risk. Supporting LLM tools/automation being embedded to accelerate workflows, followed by structured validation and refinement using analytical judgement to maintain trusted conclusions. Operate alongside AI agents ...

Roku Entertainment Assistant team deliver reliable, high-quality conversational experiences at scale. You will own production systems across ranking, model delivery, evaluation and LLM-agent behaviour, working closely with machine-learning, product, data and platform partners. This is a hands-on engineering role for someone who can move comfortably between … doing? Own fulfilment-ranking pipelines from training orchestration and quality gates through deployment and online validation. Build and operate an offline-evaluation platform, combining LLM-as-judge harnesses with deterministic checks for answer quality. Develop the Roku Entertainment Assistant's LLM agent, including tool routing, retrieval, guardrails and answer caching. ...

/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 ...

benefit the wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture … technical personnel to finalise requirements and clarify integration needs. Write and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content ...

benefit the wider organisation. About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture … technical personnel to finalise requirements and clarify integration needs. Write and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components. Design, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...