51 to 75 of 309 Human-in-the-Loop Jobs in the UK

anticipate issues, optimise cost and maintain operational excellence Drive adoption of agentic operations patterns — designing platforms that support autonomous and human-in-the-loop operational workflows, and leading teams in understanding how to build and govern these effectively Mentor and develop platform engineering teams in ...

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 ...

anticipate issues, optimise cost and maintain operational excellence Drive adoption of agentic operations patterns designing platforms that support autonomous and human-in-the-loop operational workflows, and leading teams in understanding how to build and govern these effectively Mentor and develop platform engineering teams in ...

anticipate issues, optimise cost and maintain operational excellence Drive adoption of agentic operations patterns designing platforms that support autonomous and human-in-the-loop operational workflows, and leading teams in understanding how to build and govern these effectively Mentor and develop platform engineering teams in ...

anticipate issues, optimise cost and maintain operational excellence Drive adoption of agentic operations patterns — designing platforms that support autonomous and human-in-the-loop operational workflows, and leading teams in understanding how to build and govern these effectively Mentor and develop platform engineering teams in ...

scaled enterprise automation; our future isApplied AI andAgenticAutomation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded deeply into how our clientsoperate. We are not here to sell AI theatre. We are here to turn AI intoworking ...

client needs) Responsibilities: AI Deployment Architecture: Design and implement integrations between client systems and CloudFactory’s platform Architect scalable agentic AI & human-in-the-loop workflows Define data ingestion, transformation, and feedback loops Evaluate system bottlenecks (latency, quality, throughput) Product Readiness & Scale: Translate proof-of-concept ...

most technically demanding work. Own our approach to evaluating AI and vision systems: benchmark sets, metrics, regression testing between versions, and human-in-the-loop review. Lead our approach to automatic and model-assisted labelling of images, using foundation and zero-shot models to speed ...

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 ...

view grounded in delivery experience Embedding responsible AI and governance principles into agentic delivery programmes - including auditability, explainability, and human-in-the-loop mechanisms Contributing to Accenture Song's commerce delivery capability - including shaping accelerators, reusable assets, delivery standards, and points of view that advance ...

view grounded in delivery experience. Embedding AI governance, observability, and responsible AI into design as first-class concerns - audit logging, human-in-the-loop escalation, grounding/hallucination controls, brand safety, and performance monitoring. Providing technical leadership to delivery teams — guiding engineers, reviewing technical decisions ...

view grounded in delivery experience Embedding responsible AI and governance principles into agentic delivery programmes — including auditability, explainability, and human-in-the-loop mechanisms Contributing to Accenture Song's commerce delivery capability — including shaping accelerators, reusable assets, delivery standards, and points of view that advance ...

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 ...

driven tools where they help Operational Controls and Risk Help design and run the platform's operational controls, including human in the loop checkpoints, rate limits, kill switches and fallbacks Keep audit trails and agent decision traces complete and usable for incident, risk and compliance ...

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 ...

pipelines and AI workflows using Databricks and Apache Spark. Support model development, testing, deployment and MLOps processes. Create Copilot experiences with human-in-the-loop review capabilities. Implement testing, monitoring and observability to ensure reliable production performance. Improve development efficiency through AI-assisted engineering tools ...

Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting ...

Gather business requirements, high-level user stories, and acceptance criteria for AI agent workflows — including agent actions, guardrails, escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting ...

in building production-grade agentic systems, using orchestration harnesses such as LangGraph to design multi-step workflows, tool use and human-in-the-loop controlsMake evaluation a first-class engineering discipline for LLM and agent work. That means curated eval sets, LLM-as-judge ...