476 to 500 of 2,795 LLM Jobs in England

design, build and deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you’ll be working on products used by millions of customers every day. This is a highly collaborative role where you’ll partner ...

NIST AI RMF (National Institute of Standards and Technology Artificial Intelligence Risk Management Framework), ISO/IEC 42001 (Artificial Intelligence Management Systems Standard), OWASP LLM (Open Worldwide Application Security Project) guidance, MITRE ATLAS (Adversarial Threat Landscape for Artificial Intelligence Systems) and CSA (Cloud Security Alliance) frameworksExperience assessing security posture ...

process excellence standard; set the team's standard for RAG and multi-agent architecture design within process transformation engagements. Use model outputs and LLM-generated signals systematically to surface client process improvement opportunities — embedding this as a repeatable team capability; define how LLMOps and AgentOps practices apply within the team ...

Expertise: Building Information Modeling concepts, Revit families, or similar parametric modeling systems. - AI Systems: RAG, agents/MCP, agentic orchestration (LangGraph, Semantic Kernel), LLM observability, and data governance/AI safety (PII, prompt-injection, content filtering). - Domain-Specific AI for AEC: BIM/IFC extraction, CAD or point-cloud ...

processes. Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders. Stay up to date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement. Required Qualifications, Capabilities and Skills: Formal training or certification on data ...

risk before it becomes an escalation.* Apply sufficient technical understanding of data science, ML and AI engineering (e.g. model development and deployment, model registries, LLM optimisation, production-grade code) to challenge plans, estimates, dependencies, and risk assessments, and to spot when reported progress does not reflect technical reality. **Governance ...

risk before it becomes an escalation. Apply sufficient technical understanding of data science, ML and AI engineering (e.g. model development and deployment, model registries, LLM optimisation, production-grade code) to challenge plans, estimates, dependencies, and risk assessments, and to spot when reported progress does not reflect technical reality. Governance ...

risk before it becomes an escalation. Apply sufficient technical understanding of data science, ML and AI engineering (e.g. model development and deployment, model registries, LLM optimisation, production-grade code) to challenge plans, estimates, dependencies, and risk assessments, and to spot when reported progress does not reflect technical reality. Governance ...

coaching teams or colleagues in delivery practices, stakeholder engagement, work management, facilitation, governance or continuous improvement. An understanding of modern AI delivery patterns, including LLM-enabled workflows, agentic systems, tool integration, evaluation approaches, and the practical risks of moving from prototype to production. Experience leading teams where engineers work with ...

risk before it becomes an escalation. Apply sufficient technical understanding of data science, ML and AI engineering (e.g. model development and deployment, model registries, LLM optimisation, production‐grade code) to challenge plans, estimates, dependencies, and risk assessments, and to spot when reported progress does not reflect technical reality. Governance ...

built for long-term impact.**How You’ll Contribute**· Design and implement AI systems end-to-end, contributing to technical direction and architecture· Build LLM-powered and agent-based solutions from concept through to production· Contribute to engineering standards, patterns, and reusable components across use cases· Make informed technical decisions ...

Apex Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations ...

Apex Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and program management skills — ability to run multiple work-streams, manage stakeholder ...

WebSockets, SSE or event streaming platforms such as Kafka or Azure Event Hubs. AI fundamentals and coding agents. A good grasp of AI and LLM fundamentals, and practical experience using AI coding agents (for example Claude Code, GitHub Copilot or Cursor) as part of your day-to-day engineering workflow. ...

data, cloud, security) and business context. Experience shipping at least one system to production and measuring its operational or business impact. Experience building an LLM application used by real users, covering tool use, retrieval and prompt or context design. Experience with API integrations between AI platforms and enterprise systems (e.g. ...

technical domain in the platform space (eg. Container Orchestration, Kafka, Build Systems, Observability) Background in building AI-assisted developer tools or integrating LLM-backed Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. ...

WebSockets, SSE or event streaming platforms such as Kafka or Azure Event Hubs. AI fundamentals and coding agents. A good grasp of AI and LLM fundamentals, and practical experience using AI coding agents (for example Claude Code, GitHub Copilot or Cursor) as part of your day-to-day engineering workflow. ...

bigger picture and plan how to architect and scale them successfully to serve our customers. Technologies we use (not exhaustive): Claude Code, with other LLM tools also available Python, Django, Go, React, RabbitMQ, Celery, MySQL, DynamoDB, Elasticache, Redis Amazon Web Services (EC2, RDS, Aurora, SQS etc.), Terraform, Kubernetes, Splunk, Buildkite ...

Machine Learning, or related fields (or equivalent experience). 8+ years of industry experience, with a strong focus on deep learning-based NLP, LLM continuous pre-training, and IR methods. Scientific and technical expertise: Demonstrated expertise in retrieval models and extensive experience with ranking models. Strong understanding and experience with ...

Apex Proven ability to lead and own complex, ambiguous engagements end-to-end - from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and program management skills - ability to run multiple work-streams, manage stakeholder ...

Apex Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations ...

Apex Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and program management skills — ability to run multiple work-streams, manage stakeholder ...

agentic strategy in EMEA — someone who's actually shipped an AI product into production, not just prototyped one, and knows how to turn LLM/agentic capability into measurable business value customers can trust. Solid on at least one Salesforce cloud, but the real bar is production trust, transparency ...

behind them, with good judgment on realism and validity limits. Practical familiarity with evaluating AI systems and their failure modes, across classic ML models, LLM-based systems, and AI agents. Fluency in Python for statistical analysis, data preparation, and reproducible evaluation workflows. A rigorous approach that values evidence, clarity ...

agents, dashboards and interfaces, ensuring compliant and scalable solutions within a regulated healthcare context. Required are strong Python/R/R Shiny skills, LLM API experience, and expertise in CI/CD, AWS, and data governance. Adecco emphasizes inclusive recruitment and structured evaluation. #J-18808-Ljbffr ...