National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Governance Lead

Sky
Bayswater
8 months ago
Applications closed

Related Jobs

View all jobs

Associate Director of AI

Data Science Manager

Senior Data Engineer

AI Engineering Researcher

AI Implementation Manager

Head of Data Engineering & Governance

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Champion of Responsible AI & Data Ethics : Lead initiatives to establish and promote a culture of ethical & responsible AI use across the organisation . Develop strategies to embed ethical considerations in AI applications from design to deployment . Design and Governance of AI Ethics Framework: Create and implement a robust framework that guides AI systems' ethical development, deployment, and continuous monitoring . Ensure AI practices comply with international standards and reflect the organisation's commitment to ethical operations. AI Model Ethics Review and Audit: Establish protocols for regular ethics reviews and audits of AI models to ensure compliance with ethical standards throughout their lifecycle. Legal Liaison and Compliance Assurance: Direct collaboration with legal departments to align with the letter and spirit of the law surrounding data use, storage, and movement. This includes designing and implementing solutions that ensure compliance visibility. Training and Capacity Building: Develop and deliver training programs focused on Responsible AI principles to raise awareness and embed these practices across the organisation . Facilitate workshops and seminars to ensure ongoing learning and engagement with AI ethics. Stakeholder Engagement and Policy Advocacy: Actively engage with industry groups, regulatory bodies, and technology partners to advocate for ethical AI practices. Represent the organisation in external forums to share insights and learn from global best practices. Responsible AI Impact Assessments: Implement impact assessments for all AI projects to evaluate their ethical, social, and legal implications. Integrate these assessments into the project development process to ensure responsible implementation. Innovation in Ethical AI Practices: Sponsor research and innovation projects focused on enhancing ethical AI practices. Collaborate with academic institutions and research centres to explore new methodologies for fairness, accountability, and transparency in AI. What you'll bring 7 years of experience in Responsible AI, Data Ethics, strategy development, and execution with an u nderstanding of ethical considerations in AI and data practices. Expertise in AI Ethics and Governance: Demonstrable knowledge of the ethical issues associated with AI, such as bias, fairness, and transparency, with experience in developing or managing AI systems. Strategic Leadership and Policy Development: Proven ability to lead organizational strategy around Responsible AI, influence internal policies, and contribute to industry-wide standards. Advanced Technical Skills: Strong technical background to understand and critique complex AI and machine learning technologies, ensuring they align with ethical guidelines. Effective Communication and Advocacy: Excellent communication skills can articulate complex AI and ethical concepts to diverse audiences, from technical teams to executive boards. Collaborative and Influential Leadership: Skilled in working within matrix organisations and leading cross-functional teams. Ability to influence culture and implement change across traditional and non-traditional reporting lines. Project Management and Implementation: Strong project management skills, with experience leading large-scale projects that combine practical and cultural elements to embed Responsible AI practices in business operations. Relationship Management: Exceptional ability to manage relationships across all levels of the organisation and with external stakeholders, ensuring effective collaboration and discretion on sensitive matters. Group Data Hub Want to unlock the power of data? Our Group Data Hub works with millions of data transformations every day to deliver value, improve customer experience and enable new product launches. From architecture to analytics and engineering to science: it's how we bring customers more of what they love. The rewards There's one thing people can't stop talking about when it comes to LifeAtSky : the perks . Here's a taster: Sky Q, for the TV you love all in one place

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.