101 to 125 of 209 Human-in-the-Loop Jobs in England

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 ...

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 ...

control, data minimisation, rate limiting, observability, and auditability. Provide architectural guidance on complex use cases involving multi-system orchestration, agent workflows, human-in-the-loop controls, and event-driven automation. Ensure alignment with enterprise reference architectures, integration governance, security standards, and regulated industry expectations. Team Leadership ...

design for AI-powered and agentic applications, spanning conversational interfaces, agent orchestration flows, multi-step decision pathways, error states, and human-in-the-loop interaction patterns.Manage design workstreams from discovery through to delivery, owning the design process, setting quality standards, and ensuring outputs meet client ...

control, data minimisation, rate limiting, observability, and auditability. Provide architectural guidance on complex use cases involving multi-system orchestration, agent workflows, human-in-the-loop controls, and event-driven automation. Ensure alignment with enterprise reference architectures, integration governance, security standards, and regulated industry expectations. Team Leadership ...

roles across the two brands. Contact automation: defect elimination and end-to-end customer-facing automation. AI-assisted agent workflows: human-in-the-loop bot interfaces, AI-guided resolution, next-best-action tools. Scheduling and real-time optimisation via AI/ML tooling. Own tooling ...

Agentic SystemsExperience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems.Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns.Comfort debugging agent behavior: traces, logs, failure modes, tool calls, bad context, bad data, latency, and user experience gaps.Practical understanding ...

Agentic Systems*** Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems.* Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns.* Comfort debugging agent behavior: traces, logs, failure modes, tool calls, bad context, bad data, latency, and user ...

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 ...

enabled solutions.Identify, prioritize, and document legal AI use casesCreate, configure, and refine LLM-based workflows, AI agents, prompts, evaluation criteria, and human-in-the-loop review steps tailored to legal work.Work hands-on with large language models, agent frameworks, retrieval patterns, and legal workflow context ...

Identify, prioritize, and document legal AI use cases* Create, configure, and refine LLM-based workflows, AI agents, prompts, evaluation criteria, and human-in-the-loop review steps tailored to legal work.* Work hands-on with large language models, agent frameworks, retrieval patterns, and legal workflow context ...

centred interactionsDefine the level of automation for a product or its functions to determine the most optimal level of human in the loop/over the loop.Use AI and low-code/no-code tools within your own workflow for research synthesis, ideation ...

centred interactionsDefine the level of automation for a product or its functions to determine the most optimal level of human in the loop/over the loop.Use AI tools within your own workflow for research synthesis, ideation, prototyping and iterationCollaborate closely with Data ...

workflows). You’re not doing manual extraction—you’re designing systems that extract reliably at scale. Prompt chains, validation steps, human‐in‐the‐loop checkpoints. When something breaks, you debug it. When something’s slow, you fix it. Data Engineering. Build and maintain pipelines (ingestion ...

observability pipelines using platforms such as Braintrust, LangSmith, Arize, or Weights & Biases. Curate golden datasets and design LLM‐as‐judge and human‐in‐the‐loop scoring pipelines. Build production observability for AI features: token‐level tracing, quality signal monitoring, hallucination and refusal detection, and cost attribution ...

observability pipelines using platforms such as Braintrust, LangSmith, Arize, or Weights & Biases. Curate golden datasets and design LLM‐as‐judge and human‐in‐the‐loop scoring pipelines. Build production observability for AI features: token‐level tracing, quality signal monitoring, hallucination and refusal detection, and cost attribution ...

observability pipelines using platforms such as Braintrust, LangSmith, Arize, or Weights & Biases. Curate golden datasets and design LLM‐as‐judge and human‐in‐the‐loop scoring pipelines. Build production observability for AI features: token‐level tracing, quality signal monitoring, hallucination and refusal detection, and cost attribution ...

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 ...

regulated environments. Experience designing intelligence, command-and-control or case management systems. Experience designing AI-assisted user experiences, explainability features and human-in-the-loop workflows. Experience developing design systems and reusable component libraries. Knowledge of classified or accredited system delivery. Mandatory Requirements Current DV Security ...

cloud-based data or storage platforms. Knowledge of PyTorch datasets or computer vision model-training workflows. Understanding of active learning or human-in-the-loop systems. Experience using Git and collaborative development workflows. Experience within robotics, autonomous systems, VFX, animation, gaming or another image-intensive technical ...

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 and traceability of changes, and secure handling of sensitive data.Strong understanding of responsible AI use and control expectations in ...

secure business operations. The role requires strong critical-thinking skills and the ability to act as the human-in-the-loop when using AI-enabled security tools, ensuring sound judgement and effective security decision-making.The position reports to the Manager or Director ...