1 to 25 of 263 Human-in-the-Loop Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

engineering workflows for AI solutions. Support MLOps processes, including model training, testing and production deployment. Build user-facing Copilot experiences and human-in-the-loop review workflows. Create evaluation frameworks, testing suites and observability for AI services. Leverage AI-assisted development tools to enhance code quality ...

knowledge of prompt engineering and evaluation techniques for agent reliability, safety, and cost control. Familiarity with orchestrating multi-agent workflows and human-in-the-loop approval steps for sensitive actions. Awareness of security, data-privacy, and governance considerations specific to AI agents (prompt injection risks, access ...

secure and production-ready. Design AI application patterns such as RAG, orchestration and multi-agent workflows, tool and function calling, and human-in-the-loop processes, integrating them with enterprise data, APIs and microservices. Ensure AI solutions integrate cleanly into cloud-native PaaS and SaaS environments ...

solutions.AI Governance and Responsible AI* Mature and own Dynatrace’s enterprise AI governance framework, including acceptable use policies, risk tiering, human-in-the-loop thresholds, and decision authority standards for AI systems across the organization.* Partner with Legal, Risk, Security, Compliance, and Works Council stakeholders ...

resourcing using Agile delivery practices Ensure solutions move beyond proof of concept into production, with appropriate MLOps/LLMOps, monitoring and human-in-the-loop controls Track and report measurable business outcomes (e.g. loss ratio, leakage, cycle time, STP rates, fraud capture, customer outcomes) Lead ...

outputs are accurate, grounded, and commercially reliable Embedding AI governance, observability, and responsible AI principles into architecture design — including audit logging, human-in-the-loop escalation points, and performance monitoring — as first-class concerns rather than afterthoughts Providing technical leadership to delivery teams — guiding engineers, reviewing ...

quality measurement, hallucination reduction, regression testing, model performance tracking, and operational risk controls Design approaches for continual learning and improvement, including human‐in‐the‐loop feedback, telemetry‐driven enhancement, model, prompt, and version management, and safe release practices Collaborate with Markets Operations stakeholders to understand process ...