1 to 25 of 189 Permanent Human-in-the-Loop Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

hallucination detection, and production monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other ...

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 or setting technical standards as a senior individual contributor. What ...

copilots, workflow agents, decision systems, and automation platforms Ensure seamless progression from discovery through to production deployment, embedding AI-native and human-in-the-loop operating models Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design Ensure AI systems are scalable ...

outputs and external system integration.• Retrieval-augmented generation, embeddings, grounding and context management.• Agent orchestration, state, memory, permissions, error recovery and human-in-the-loop controls.• Evaluation of quality, reliability, safety and measurable business outcomes.• AI security, including prompt injection, data protection, access control and auditability. ...

tracing. Experience automating scientific or technical workflows with agents: data pipelines from lab and process systems, code generation for analysis, and human-in-the-loop review. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. ...

copilots, workflow agents, decision systems, and automation platforms Ensure seamless progression from discovery through to production deployment, embedding AI‐native and human‐in‐the‐loop operating models Provide technical leadership across LLM architectures, agent orchestration, RAG patterns, and AI application design Ensure AI systems are scalable ...

implementing Agentic AI workflows Experience with LangGraph Strong understanding of LLM workflow design, including state, routing, tools, structured outputs and human‐in‐the‐loop patterns Practical experience designing and implementing RAG architectures Experience with document ingestion, chunking, embeddings and vector/semantic search Experience with prompt ...

team, apply Microsoft Entra ID, Microsoft Purview, sensitivity labelling, data loss prevention, auditability and retention requirements to AI solution design. Design human‐in‐the‐loop checkpoints before client‐facing activity, credit or risk decisions, and writes to systems of record; include rejection, resumption and evidence paths. ...