1 to 25 of 64 Permanent Human-in-the-Loop Jobs in the UK excluding London

governance, ethics, compliance, and risk control activities. Ensure AI solutions comply with enterprise architecture principles, security policies, data governance standards, human-in-the-loop controls, and regulatory requirements. Monitor and mitigate AI risks, raising concerns early and recommending remedial actions. REQUIREMENTS To perform this job successfully ...

day. Responsible AI in Practice Implement the guardrails the Architect designs - bias mitigation checks, evaluation harnesses, human-in-the-loop review points - so that Responsible AI principles (ATRS alignment, NCSC "Secure by Design, " meaningful human control) are enforced in the ...

augmentation incident response strategy for security operations: agentic AI workflows, LLM-assisted triage, prompt libraries, notebook-based investigation, and human-in-the-loop autonomous response patterns.• Establish governance, guardrails, and auditability for AI-assisted and AI-autonomous response actions in support of regulatory frameworks ...

Strong understanding of how to consume AI within workflows, including LLM calls for classification, extraction and summarisation, intelligent document processing and human-in-the-loop design. Practical judgement on when to use AI in automation, and when deterministic, rules-based automation is safer, simpler ...

best practicesCreate durable, reusable software frameworks and patterns leveraged across teamsDesign and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controlsEstablish engineering standards for LLM-based applications, ensuring safety and reproducibilityDrive adoption of advanced technical methods and industry-aligned product development ...

Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced technical methods and industry-aligned ...

Create durable, reusable software frameworks and patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced technical methods and industry-aligned ...

detection and investigation Contribute to solution design and build where needed, including: LLM/agent workflow design (tool use, orchestration, guardrails, human-in-the-loop patterns) API/service integration into alerting, case management, and investigator workflows Evaluation harnesses (golden datasets, regression tests, red-teaming scenarios ...

first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data.Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing ...

first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented ...

platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability to influence senior stakeholders across Technology, Risk, Compliance and Operations. Technical Environment Exposure ...

Support & Collaboration: Contribute code and configuration to end-to-end Intelligent Automation (IA) solutions, including workflows involving Blue Prism Chorus for human-in-the-loop intervention. Prompt Engineering: Write, test, and refine prompt structures and system instructions to ensure predictable and structured outputs from AI models. ...

Stand Out: Practical experience with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code ...

enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.Strong understanding of responsible AI use and control expectations at scale ...

Upskill product organizations Coach product teams, leaders, and stakeholders - including client teams - on effective AI utilization, prompt engineering, responsible use, and human-in-the-loop decision-making practices. Required Qualifications, Capabilities & Skills 8+ years of experience in Product Management, Product Coaching, Product Operations, Product Transformation ...

track answer quality, retrieval accuracy, and hallucination rate over time. Responsible AI in Practice Implement the specific guardrails and human-in-the-loop checkpoints defined by the leads - this is an execution role, not a policy-setting one. Documentation & Handover Contribute to "Docs ...

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 ...

enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations ...

Foundry ecosystem, understanding different business challenges require varied solutions from SLM's to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps. Data Architecture Design: You understand and know when to use the following data architecture design patterns RAG (Retrieval-Augmented ...

Foundry ecosystem, understanding different business challenges require varied solutions from SLM’s to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps.Data Architecture Design: You understand and know when to use the following data architecture design patterns RAG (Retrieval-Augmented-Generation ...

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 ...

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 ...

enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices ...

enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring ...

cost impact of model choices, inference patterns, and orchestration designs to recommend sustainable options.Establish patterns for AI safety, bias mitigation, and "Human-in-the-loop" architectural components, ensuring architectural decisions follow the AI governance model, including risk reviews, lifecycle stages, and required documentation.Technical Leadership & Mentorship ...