51 to 75 of 197 Human-in-the-Loop Jobs in London

access, tool use, model access, approvals, auditability and policy enforcement. Establish engineering standards for agent orchestration, memory and context, tool integration, human‐in‐the‐loop controls, evaluation, observability and operational support. Ensure security, compliance, resilience, cost management and operational readiness are designed into the platform ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

insight storytelling standards for the team; govern how analytical deliverables are structured and quality-reviewed before client delivery — including governing human-in-the-loop design standards, autonomy level specifications, and escalation trigger definitions across all agentic process solutions in the portfolio. Manage ...

Familiarity with frameworks and standards such as ISO 27001, NIST and OWASP, alongside an understanding of responsible AI, security guardrails and human-in-the-loop controls Proficiency in Python, Bash, PowerShell or Go for security automation and tool development, with experience implementing Zero Trust Architecture ...

internal and third-party systems. Help put guardrails around AI-driven workflows, including evaluation and testing, monitoring, logging, cost control and human-in-the-loop checkpoints. Take ownership of agreed features and improvements from initial requirements through to release and ongoing support. Skills and experience Essential ...

tuning, evaluating, or deploying large language models in production settings Experience with multimodal modelling (e.g. text + image) Familiarity with human-in-the-loop systems or moderation workflows Experience with Databricks, PySpark, or large-scale data processing systems Additional Information Health + Mental Wellbeing ...

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 ...