Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Education Portfolio Lead Google DeepMind Impact Accelerator

DeepMind
London
5 months ago
Applications closed

Related Jobs

View all jobs

Postgraduate study in AI and Machine Learning at UCL - scholarships available

Data Scientist (Portfolio Analytics)

Data Scientist (Portfolio Analytics)

AI / ML / Data Science Strategy & Delivery Lead (SM/D)

AI / ML / Data Science Strategy & Delivery Lead (SM/D)

Lecturer in Computer and Data Science (160-25)

Snapshot

The Google DeepMind Impact Accelerator (GDI) has a unique role in GDM to develop solutions and resources built on GDMs technologies and expertise that extend the benefits to humanity. We are a path to real world impact beyond ABC products and services or making our research public.

About us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.

The role

Working with GDIs leadership you will lead the Education portfolio driving AI innovation to accelerate the equitable adoption of GDM technologies and AIpowered learning solutions. You will foster key strategic collaborations and champion the responsible inclusive application of AI to create a more effective and accessible future for learning.

This is an evolving and dynamic area of Google DeepMind with a collaborative diverse group that partners closely with a wide variety of teams across Alphabet and a range of external partners.

Key responsibilities
  • Lead the strategic development and of GDIs education portfolio driving initiatives that advance AI literacy and skills while applying AI to address critical educational challenges.
  • Collaborate closely with GDM research teams to translate GDM technologies into practical and scalable educational solutions and drive the delivery of proofofconcepts to academics educators and students in diverse learning environments ensuring a feedback loop for continuous improvement and refinement.
  • Spearhead a portfolio of programs across the full education spectrum from secondary school to advanced research designing and scaling initiatives that build AI understanding and cultivate a diverse future AI workforce.
  • Build strategic partnerships with educational institutions research organizations NGOs government agencies and international bodies to maximize the reach and impact of GDMs education initiatives.
  • Lead collaborations with teams across GDM and Google (e.g. Google Marketing Communications Policy) to translate education initiatives into highimpact programs develop compelling proof points and enhance visibility and engagement with global audiences.
  • Establish robust frameworks for monitoring evaluating and reporting on the effectiveness of education portfolio initiatives utilizing data to inform strategy and drive continuous improvement.
  • Oversee budgets and resourcing for the education portfolio manage the team and work closely with the program manager to optimize resource allocation and ensure efficient operations.
  • Champion GDMs mission to build AI responsibly for the benefit of humanity within the education sector promoting ethical considerations and responsible AI development and deployment.
About you

In order to set you up for success as the Education Portfolio Lead at Google DeepMind we look for the following skills and experience:

  • A thought leader with a deep passion for Google DeepMinds mission and a commitment to championing the responsible development and deployment of AI in education.
  • Demonstrable experience in the strategic design development and of largescale programs including in education and learning ideally with a technology or AI component including experience in guiding teams to deliver against strategic objectives.
  • A proven ability to spearhead initiatives across the full education spectrum from K12 to advanced research with a focus on fostering equitable education opportunities and empowering team members to contribute effectively.
  • Expertise in leading crossfunctional collaborations working effectively with teams across research engineering marketing communications policy and more to maximize the impact and visibility of education initiatives with a focus on providing direction and support to team members involved in these collaborations.
  • Demonstrated curiosity and a willingness to understand topics in depth.
  • Exceptional relationshipbuilding and collaboration skills with the ability to forge strong partnerships with diverse stakeholders including educational institutions research organizations NGOs government agencies and international bodies while providing guidance and mentorship to team members in managing these relationships.
  • Experience in overseeing budgets and resourcing effectively managing teams and ensuring efficient operations through delegation and empowerment.

Deadline to Apply:5pm BST Friday 4th April 2025

Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy.

At Google DeepMind (GDM) we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.


Key Skills
Project / Program Management,Project Portfolio Management,Portfolio Management,Credit Analysis,Banking,Pricing,Analysis Skills,Project Management,Financial Analysis,Budgeting,Property Management,Contracts
Employment Type :Full Time
Experience:years
Vacancy:1

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.