101 to 125 of 252 Human-in-the-Loop Jobs in the UK

OpenAI Agents SDK), with guidance from senior engineers.Implement agentic workflows involving tool use, MCP-based integrations, memory and state management, and human-in-the-loop patterns - learning what it takes to make agents enterprise-safe and production-ready.Contribute to enterprise context engineering: connecting agents ...

cost‐aware and operable. Define the data lineage and controls that support responsible production AI — monitoring, confidence scoring, and human‐in‐the‐loop review. Translate ambiguous business and client problems into clear architectural decisions and scoped roadmaps under delivery pressure. Own key technical trade‐offs ...

agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control ...

agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.Strong understanding of responsible AI use and control expectations ...

Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow). Working knowledge of agentic process automation concepts — agent orchestration, human-in-the-loop workflows, document intelligence, and co-pilot patterns. Experience with Automation Anywhere, UiPath, or ServiceNow a strong asset. Proven track record of operating ...

agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in ...

Strong understanding of modern AI systems and agentic workflows including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows. Ability to analyse complex workflows, simplify ambiguity and translate business requirements into practical and responsible solutions. Strong communication skills in ...

calibrate what "client-quality" output requiresDeep fluency across the modern AI tooling stack — agentic architectures, multi-agent orchestration, LLM routing, human-in-the-loop design, and evals — sufficient to direct engineers, make architecture and model tradeoffs, and evaluate new form factors as they emergeThe instinct ...

demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive . Support is production reliability, trust preservation, and system learning . ...

agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputsStrong understanding of responsible AI use and control expectations ...

agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs Strong understanding of responsible AI use and control ...

reference implementations for AI systems across Development.Establish common approaches for agentic AI, retrieval-augmented generation, knowledge systems, simulation, digital twins, and human-in-the-loop AI.Provide technical guidance on reuse, extension, and evolution of AI capabilities.Ensure AI systems are designed for modularity, interoperability, scalability, and maintainability.Reusable ...

business unit, ensuring: high-value use cases are identified adoption and operating model impacts are planned workforce readiness is supported human-in-the-loop and control frameworks are implemented Ensure AI is embedded into workflows rather than delivered as standalone tools. Risk, Resilience & Regulatory Partnership Partner ...

Agents SDK).Design agentic workflows with tool use, agent skill, MCP-based integrations, memory and state management, multi-agent orchestration, and human-in-the-loop controls for enterprise-safe autonomy.Lead enterprise context engineering: connecting agents to SAP and non-SAP systems of record, designing knowledge retrieval ...

practical, responsible AI adoption.Partner with Data, Information Governance, and Legal teams to ensure: Ethical, transparent, and explainable AI use, clear human-in-the-loop accountability and compliance with regulatory and charity-sector expectations.Enable engineering teams to safely adopt AI for: Productivity and automation, insight generation ...

capabilities Experienced in automation tooling (UI Path, Celonis) Assess where Agentic AI adds genuine value beyond traditional automation approaches. Design human in the loop workflows with appropriate governance, controls and escalation paths. Evaluate AI use cases for feasibility, value, risk and operational readiness Help clients ...

powered agents with AEM, AEP, and customer systems via APIs and data pipelines.Implement safety and quality guardrails, fallback logic, and human‐in‐the‐loop workflows.Technical Implementation & DeliveryLead technical integration of ABV, including data mapping, workflow configuration, and resolving challenges.Provide hands‐on support through setup, validation, optimization ...

agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data Strong understanding of responsible AI use and control expectations in ...

agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive dataStrong understanding of responsible AI use and control expectations in ...

agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.Strong understanding of responsible AI use and control expectations in ...

agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs Strong understanding of responsible AI use and control ...

development of AI-native applications and tools.Implement tool-calling and orchestration frameworks for domain-specific software.Develop data analysis and integration systems.Implement human-in-the-loop validation and feedback mechanisms.• Technical Leadership & PrototypingPrototype core systems to validate feasibility and guide implementation.Partner with engineering teams to review designs ...

Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations, ranking, promotional content ...

specialists on LLM orchestration, tool calling, RAG, context management, prompt iteration, model selection, and cost-performance trade-offs. Design human-in-the-loop controls for cases where AI confidence, safety risk, or operational complexity requires escalation. Establish quality metrics for chatbots and voice agents, including task ...

fragmented HR tools (HRIS, ATS, payroll, ticketing) into coherent, end-to-end workflows.Build error handling, audit trails, payroll-calendar awareness, and human-in-the-loop checkpoints into every production system before deployment.Ensure all automations comply with data classification requirements for employee PII, regulated data, and cross ...