1 to 25 of 309 Human-in-the-Loop Jobs in the UK

Kubernetes, CI/CD, Terraform, cloud services, and AI infrastructure. Design AI governance, monitoring, testing, risk, security, and compliance controls. Support human-in-the-loop workflows, responsible AI controls, model evaluation, and operational readiness. Translate business requirements into practical AI solutions and implementation roadmaps. Collaborate with ...

governance, ethics, compliance, and risk control activities. Ensure AI solutions comply with enterprise architecture principles, security policies, data governance standards, human-in-the-loop controls, and regulatory requirements. Monitor and mitigate AI risks, raising concerns early and recommending remedial actions. REQUIREMENTS To perform this job successfully ...

auditable action trails.Experience implementing agent observability and controls, including trace capture, prompt and tool-call logging, hallucination and policy-violation checks, human-in-the-loop approvals, incident handoff, and post-action summarization.Preferred: Experience optimizing production AI systems through model selection and routing, prompt compression, retrieval tuning ...

action trails. Experience implementing agent observability and controls, including trace capture, prompt and tool-call logging, hallucination and policy-violation checks, human-in-the-loop approvals, incident handoff, and post-action summarization. Preferred: Experience optimizing production AI systems through model selection and routing, prompt compression, retrieval ...

Agentic RAG, Graph RAG, knowledge-graph, and hybrid approaches. Design multi-agent systems with modern orchestration and reasoning architectures, including human-in-the-loop and autonomous frameworks. Define memory, context, planning, tool-use, and reasoning strategies for agentic systems. Stay technical. Contribute to architecture, critical-path ...

orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human‐in‐the‐loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticated prompt engineering strategies optimized for customer‐specific domains ...

agent case-handling assistant for a public sector client, retrieving from several legacy systems of record, with full audit trails and human-in-the-loop approval on every outbound decision.* A document-intelligence pipeline for a utilities client that extracts structured data from tens of thousands ...

agent case-handling assistant for a public sector client, retrieving from several legacy systems of record, with full audit trails and human-in-the-loop approval on every outbound decision.A document-intelligence pipeline for a utilities client that extracts structured data from tens of thousands ...

agent case-handling assistant for a public sector client, retrieving from several legacy systems of record, with full audit trails and human-in-the-loop approval on every outbound decision.* A document-intelligence pipeline for a utilities client that extracts structured data from tens of thousands ...

action trails. Experience implementing agent observability and controls, including trace capture, prompt and tool‐call logging, hallucination and policy‐violation checks, human‐in‐the‐loop approvals, incident handoff, and post‐action summarization. Preferred: Experience optimizing production AI systems through model selection and routing, prompt compression, retrieval ...

solutions in regulated industries (life sciences, healthcare, financial services, legal). Agentic AI patterns — multi-step autonomous workflows with human-in-the-loop oversight, tool calling, MCP servers, and structured outputs. Enterprise AI governance and responsible AI practices, including model evaluation, bias testing, explainability ...

retired. Agentic AI and LLM engineering: Design and implement reliable agentic workflows, including tool use, retrieval, evaluation, orchestration, guardrails, human-in-the-loop controls and observability. Apply LLMOps practices to evaluate, monitor and improve LLM-based systems, with particular attention to legal accuracy, confidentiality, security, provenance ...

closely with Data Scientists to operationalise machine learning models, GenAI applications and agentic workflows into reliable production services. Define patterns for human‐in‐the‐loop workflows, confidence‐based routing and AI safety mechanisms. Embed security, governance, compliance and responsible AI practices into the platform from ...

sustainable at scale. Strong experience embedding Responsible AI and governance into Generative AI solutions, covering safety, risk management, transparency, explainability, human‐in‐the‐loop design and regulatory alignment. Desirable experience in integrating enterprise data platforms with AI solutions, including familiarity with Lakehouse architectures and data ...

applying engineering judgement to validate and correct generated outputs Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption ...

applying engineering judgement to validate and correct generated outputs Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption ...

client GxP and trust by design: Partner with Quality & Compliance on the validation path for regulated AI use cases: human-in-the-loop decisions, audit trails, reproducibility, guardrails and computer system validation evidence. Evaluation and operations: Define test sets and accuracy measures, monitor quality, cost ...

applying engineering judgement to validate and correct generated outputs Developing a working understanding of agentic concepts including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure to inform how you design and build solutions that are fit for agentic consumption ...

applying engineering judgement to validate and correct generated outputs Developing a working understanding of agentic concepts including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure to inform how you design and build solutions that are fit for agentic consumption ...

publications, patents, open-source contributions, or applied AI initiatives, with an interest in emerging approaches such as AI-assisted development, human-in-the-loop evaluation, responsible AI, and next-generation intelligent systems. Why Join Us Because this is where advanced AI meets one of the ...

model drafting, architecture review summaries, control mapping, remediation guidance, and risk statement generation. Build prompt libraries, review rubrics, validation steps, and human-in-the-loop processes for approved AI use within Information Security. Identify repetitive BISO, AppSec, and Security Architecture tasks that can be safely accelerated ...

delivery of the agentic framework transforming security services across the Chief Security Office — agent authorisation models, tool-invocation control, human-in-the-loop gates, trust boundaries and runtime monitoring, designed in from inception. Own the design-to-build-to-handover pipeline: specifications ...

pull requests, and solving complex technical problems Building Responsible AI guardrails into live systems, including evaluation harnesses, bias checks and human-in-the-loop review points Making sure AI services are secure by default and observable in production, with solid logging, monitoring, alerting and rollback ...

concept. Responsibilities: Agentic AI: Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build ...

concept. Responsibilities: Agentic AI: Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build ...