1 to 25 of 74 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

development principles. Governance: Implement solutions in line with our AI governance framework, encompassing factors such as data handling, audit logging, human-in-the-loop controls, and regulatory compliance. Cost Management: Monitor and optimise LLM API usage and infrastructure costs, implementing strategies such as caching, model ...

development principles. Governance: Implement solutions in line with our AI governance framework, covering areas such as data handling, audit logging, human-in-the-loop controls and regulatory compliance. Cost Management: Monitor and optimise LLM API usage and infrastructure costs, implementing strategies such as caching, model ...

deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have: Experience managing a team, as this role involves leading a team of 5 as well ...

LangGraph, including event-driven automation triggered by monitoring and observability signals.Understanding of AI control-plane design, including agent permissions, oversight and human-in-the-loop workflows.Knowledge and Data ArchitectureExperience designing knowledge taxonomies or graphs that connect documentation, incident history, automations and agent capabilities.Experience applying “as-code ...

troubleshooting to autonomous mitigation. Risk-Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human-in-the-loop fallbacks for autonomous AI actions. Value-Oriented Engineering: Treats cost optimization as a first-class architectural metric, aligning infrastructure spend directly ...

level, including having chosen an existing managed or purchased capability over building something custom, and having defended that call. Experience designing human-in-the-loop workflows, including determining where approval steps belong before an AI solution acts. Strong communication skills, with the ability to represent ...

stateful multi-agent workflows using Google ADK , LangChain, LangGraph, AWS Bedrock, or equivalent technologies, incorporating structured outputs, tool calling, and human-in-the-loop steps. Evaluation & Benchmarking: Implement automated offline and online evaluation suites using tools such as Braintrust, AgentCore Eval, equivalent industry solutions, or custom ...

powered solutions. Design, implement, and maintain evaluation frameworks for AI systems, including regression testing, evaluation datasets, LLM‐as‐judge methodologies, and human‐in‐the‐loop review processes. Ensure AI‐powered software solutions meet the same standards for quality, reliability, security, and testing as traditional software ...

customers across regions/time zones, with travel as required. Act as a trusted technical advisor on agentic-AI adoption with human-in-the-loop, governed approaches. Bring field learnings back to product and engineering based on real usage. Contribute pragmatic engineering standards — CI/ ...

function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability & Monitoring: Prometheus, Grafana, Datadog, Splunk, Elastic/ELK, OpenTelemetry, including GenAI tracing and token ...

actions. Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation and human-in-the-loop controls. Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through to production deployment. ...

prompt change made things better or worse. Design Agentic Workflows: Architect multi-step, tool-using pipelines with explicit state, guardrails, and human-in-the-loop review where the stakes demand it. Lead Innovation: Push the envelope with cutting-edge LLM and agentic techniques ...