76 to 100 of 263 Human-in-the-Loop Jobs in England

Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid ...

cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data Architecture Design : You know when to use RAG (Retrieval‐Augmented Generation), Serverless, DWH models, Data Mesh, Data Fabric ...

exposure. Experience conducting technical discovery, architecture assessments, and options analysis, including Build vs Buy evaluations and implementation planning. Ability to design human-in-the-loop controls, governance frameworks, and assurance processes to support the safe adoption of AI technologies. Excellent stakeholder management and communication skills ...

/or Bedrock) and operating production ML/LLM workloads with attention to cost, latency, performance, security, and scaling Experience integrating human-in-the-loop review and user feedback into iterative improvement, such as labelling strategies, QA workflows, and preference signals #J-18808-Ljbffr ...

organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams. Deep understanding of responsible AI risk ...

Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs Strong understanding of responsible AI use in ...

feedback loops Drive the productionization of AI and agentic capabilities, including tool use, orchestration, state and context management, failure handling, human-in-the-loop experiences, and operational controls Define validation approaches and success measures for AI and ML products, using appropriate offline and online metrics ...

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 ...

investigation and incident summarisation, automated playbooks, and agentic response actions. A good candidate will be clear-eyed about limits: where human-in-the-loop controls are needed, how to validate AI outputs, and how to avoid automating mistakes at speed. The ability to build ...

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. ...

investigation and incident summarisation, automated playbooks, and agentic response actions. A good candidate will be clear-eyed about limits: where human-in-the-loop controls are needed, how to validate AI outputs, and how to avoid automating mistakes at speed. The ability to build ...

investigation and incident summarisation, automated playbooks, and agentic response actions. A good candidate will be clear-eyed about limits: where human-in-the-loop controls are needed, how to validate AI outputs, and how to avoid automating mistakes at speed. The ability to build ...

evaluation, deployment, monitoring and iteration.Understanding of common enterprise AI patterns, such as LLMs, retrieval-augmented generation, prompt design, AI evaluation and human-in-the-loop workflows, is desirable.Technical literacy sufficient to work credibly with Data Science and Engineering teams; hands-on coding or data-querying experience ...

Enabled Development:** Build AI-enabled product features using patterns such as retrieval-augmented generation, tool and API integration, evaluation and human-in-the-loop design.* **AI-Assisted Engineering:** Use AI-assisted engineering tools such as Claude Code or Claude Cowork as part of your ...

level risk.* **Agentic AI systems:** Creating graph-based, multi-step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls.* **Evaluation:** Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship.* **ML infrastructure ...

model quality, retrieval and ranking performance, user outcomes, and business impact. Guide experimentation, error analysis, offline evaluation, online testing, and human-in-the-loop processes where appropriate. Promote responsible AI practices, including transparency, privacy, bias assessment, explainability, and risk management. Ensure technical decisions are evidence-based ...

editors such as Cursor or Claude Code in daily use. Experience keeping AI reliable in production: evaluation harnesses, guardrails, human-in-the-loop review, tracing, and the failure modes that only show up once a system is live. Strong working knowledge of APIs ...

accounting, payments, lending, invoicing, cash flow, tax, risk or business software.* Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.* Commercial experience writing critical production code and working with microservices.* Experience designing experiments, A/B tests or other ...

Google Cloud Experience in social care, healthcare, digital health or another regulated/sensitive-data sector Knowledge of explainable AI, human-in-the-loop approaches, fairness/bias monitoring and responsible AI Academic acumen to contribute to technical reports, publications, conference outputs and training materials ...

core GenAI concepts such as large language models, prompt design, retrieval augmented generation, knowledge management, workflow orchestration, agentic patterns, evaluation, human-in-the-loop controls and responsible AI considerations. Experience designing governance, guardrails and adoption approaches that support responsible, secure and scalable AI deployment across business ...

workflows with controlled analysis at every stage. Every output comes with citations and a full audit trail, so the human in the loop can see exactly how it got there. The Context Graph makes all your data (across workflows, documents and integrations) queryable in ...

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. ...

deployment, monitoring and iteration. Understanding of common enterprise AI patterns, such as LLMs, retrieval‐augmented generation, prompt design, AI evaluation and human‐in‐the‐loop workflows, is desirable. Technical literacy sufficient to work credibly with Data Science and Engineering teams; hands‐on coding or data‐querying ...

disruption/crew scheduling environments. Familiarity with simulation and scenario generation to support what‐if analysis and resilience planning. Experience designing human‐in‐the‐loop decision tools (explainability, constraints override, auditability, and traceable recommendations). Cloud platform experience (Azure/AWS/GCP) and building secure ...

LLMs, RAG and agentic AI. Conduct technical feasibility assessments and build-versus-buy analysis. Define AI integration patterns, security controls and human-in-the-loop requirements. Assess AI risks, including hallucinations, prompt injection and sensitive-data exposure. Develop architectural recommendations and a phased implementation roadmap. Essential ...