51 to 75 of 78 ISO/IEC 42001 Jobs in England

regulated or complex enterprise environments preferred. Responsible AI and AI ethics Fairness, explainability, transparency, and AI safety AI risk management and governance AI / ML lifecycle and model development practices Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001) Does this sound like your ...

awareness programs. Promote a culture where Responsible AI enables innovation rather than becoming a barrier to adoption. Experience 8-12+ years in AI / ML, data science, AI governance, model risk, or technology risk. Experience evaluating AI risks, fairness, transparency, and explainability. Experience engaging senior stakeholders and influencing … regulated or complex enterprise environments preferred. Expertise Responsible AI and AI ethics Fairness, explainability, transparency, and AI safety AI risk management and governance AI / ML lifecycle and model development practices Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001) Policy interpretation and control ...

wider stakeholders to ensure secure adoption of new technologies. The role focuses on AI governance, risk assessments and DPIAs, with ongoing maintenance of ISO 27001 and future ISO 42001 requirements. #J-18808-Ljbffr ...

human interests. Confidence advising around AI implementations and tools, as well as working with AI Governance solutions. Strong stakeholder engagement, workshop facilitation, and written / verbal communication skills. Ability to lead delivery teams and provide coaching or line management to more junior staff. Benefits Enhanced paid maternity, paternity … home, the Kubrick office, or your clients' office (if applicable) Pension matching up to 5% Unlimited mental health support through Help@Hand, available 24 / 7 for you and eligible family members Financial wellbeing support Cycle to Work scheme, save up to 43% on a new bike through Evans ...

# Data Governance & AI Compliance LeadGlobal Regulated EnterpriseHybrid · London / Remote £85,000–£110,000 42 days ago 12 interestedData GovernanceAI GovernanceMicrosoft PurviewGDPRResponsible AI## Job DescriptionThe Data Governance & AI Compliance Lead is a new category of senior specialist that enterprises urgently need: someone who understands both traditional data governance … Experience with data privacy regulations applied to AI: GDPR lawful basis for AI processing, PII in training data• DAMA CDMP preferred; IAPP CIPP / E is a strong advantage• Experience in a regulated industry: financial services, healthcare, insurance or government• Strong stakeholder management: you can explain AI governance ...

compliance and operations teams across firms managing combined assets of over £70 billion. We are a Microsoft Agentic Launchpad cohort company alongside NVIDIA, ISO 27001, SOC 2 Type II and ISO 42001 certified, and selected for the FCA's AI Live Testing programme. About ...

security and privacy assessments, including Data Protection Impact Assessments (DPIAs) and associated reviews. Support the ongoing maintenance and development of the firm's ISO 27001 management system, as well as future ISO 42001 requirements. Contribute to information governance initiatives, including data classification and records ...

integrity, and the need for guardrails. Nice to have Working familiarity with AI security standards and references such as the NIST AI RMF, ISO 42001, MITRE ATLAS, or the OWASP LLM Top 10. Hands‐on experience with policy‐as‐code and turning standards into enforced controls. ...

integrity, and the need for guardrails. Nice to have Working familiarity with AI security standards and references such as the NIST AI RMF, ISO 42001, MITRE ATLAS, or the OWASP LLM Top 10. Hands‐on experience with policy‐as‐code and turning standards into enforced controls. ...

Data & AI Governance Specialist Role Type: 12-month contract (Outside IR35) Rate: £620 / day Location: Hybrid (travel to London 2 times a week required) Clearance: Active SC clearance required Context: Supporting an SME defence consultancy with data governance and AI compliance. Core Focus: Setting up and managing data … handle day-to-day compliance and data management standards. Running AI risk assessments, validation reviews, and regulatory checks aligned with frameworks like ISO 42001. Building executive dashboards, scorecards, and governance KPIs. Running governance committees, steering meetings, and keeping audit trails and compliance logs sharp. Driving internal training ...

cyber defence capabilities. This is a hands-on role suited to someone who understands modern security engineering and has a strong interest in AI / ML technologies, LLMs, automation, and risk management. What you’ll be responsible for Design and implement security controls for AI and machine learning solutions … optimisation. Stay current on evolving risks, attack techniques, regulations, and industry practices related to AI security and AI governance (inline with EU AI Act, ISO42001) What we’re looking for Experience in cyber security engineering, security architecture, or a related security role. Strong understanding of core security domains such ...

capability meets a real budget, and shape scope and commercial structure accordingly. Develop the firm's market position on AI governance and security (ISO 42001, NIST AI RMF, EU AI Act readiness) so the point of view arrives before the competition does. Partner with delivery leadership ...

degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI / ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest … monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. ...

minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI / ML solutions into production,including prompt engineering, retrieval-augmented generation (RAG),modelevaluation,andmonitoringusing metrics (e.g. precision, recall, NDCG and drift detection). Strong Python … skills with a grounding in software engineering best practices(CI / CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertisein data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding ...

minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI / ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection … . Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured ...

minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI / ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection … . Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured ...

minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI / ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection … . Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured ...

informed decisions involving the responsible use of data. You will also collaborate closely with the DPO, and build trust continually with the Security, People / HR, Procurement, Product and Engineering, Data, Revenue, and Customer Care teams to ensure alignment on company initiatives involving the processing of personal data. … Data, Engineering, and Security teams to acquire the right governance tools. Oversee the risk‐based review of new personal data processing initiatives, including PIAs / DPIAs, LIAs, AI inventory and classification, and AI risk and impact assessments. Ensure agreed mitigation actions are tracked through to completion. Partner with Security ...

degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI / ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI / ML models, including time series, supervised / unsupervised learning, reinforcement learningand LLMs. Experience with the latest AI engineering approaches such asprompt engineering, retrieval-augmented generation (RAG)and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews ...

degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI / ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI / ML models, including time series, supervised / unsupervised learning, reinforcement learningand LLMs. Experience with the latest AI engineering approaches such asprompt engineering, retrieval-augmented generation (RAG)and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews ...

Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI / ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing … / ML models, including time series, supervised / unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI / CD, testing ...

Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI / ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing … / ML models, including time series, supervised / unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI / CD, testing ...

team you'll be working with: Position Title: Senior Security Analyst - Third-Party Security Assurance (TPSA) – P2 / 3Location: United Kingdom / RemoteEmployment Type: Full-Time, PermanentReporting To: Head of Information Security We are seeking an experienced security and risk professional to join the Third-Party Security Assurance … TPRM, security risk, or GRC- Proven ability to independently deliver third-party assessments end-to-end- Strong understanding of regulatory frameworks (GDPR, ISO 27001, IS0 42001 etc.)- Regular interaction with stakeholders (but limited strategiec ownership)Who we are: At NTT DATA, you have endless opportunities ...

2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understanding and developing of AI / ML models, including time series, supervised / unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering … retrieval-augmented generation (RAG), and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI / CD, testing, code reviews etc). Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. ...

enabled solutions and tackle complex security challenges with colleagues and trusted partners. What will you bring to the role? Experience in a Cloud SaaS / PaaS security engineering role, ideally in financial services or another regulated sector. Hands-on experience assessing the security, privacy and operational risks of generative … environment. Knowledge of emerging AI security frameworks and standards, including NIST AI RMF, the OWASP Top 10 for LLM Applications, MITRE ATLAS and ISO 42001. The judgement to balance innovation with security, regulatory compliance and operational resilience. Clear communication skills and confidence explaining technical issues to non-technical ...