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

Nominate & Attend

Program Manager, Science & Strategic Initiatives (12 months Fixed-Term Contract)

DeepMind
London
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst - Growth & Retention

Head of Data Engineering & Analytics

Data Scientist

Senior Data Analyst

Head of Data Science & AI Delivery | London, UK

Senior Data Scientist

At Google DeepMind, 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. Snapshot The role of the Program Management Team is to organise and enable our research teams to be the best at what they do and to make fast-paced progress towards our mission. We continually pursue scalable and sustainable ways to optimise research, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and pioneering research progress at pace. We build strong relationships with teams, bringing clarity to ambiguity and providing stability during change. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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 The role will be to provide hands on Program Management Support for a number (1-3) of long running domain based project teams within the Science and Strategic Initiative Unit’s Portfolio. Some as the sole program manager, and some with the oversight of an existing program manager on team. Agility and flexibility will be a key capability (things will change) but likely focus areas will be within the Biology teams. There will also the opportunity to support Program wide initiatives. Key Responsibilities Work with your team on all required elements of end-to-end project planning and delivery, using your knowledge of project methodologies including tools and techniques such as stand ups, retrospectives, agile boards, project plans etc Work with your teams to organise and optimise research into clear goals and objectives Facilitate conversations, meetings and opportunities for collaboration to drive the best outcomes; create connections and relationships Track progress, maintain up to date information and relevant technical documentation, anticipate and propose solutions to issues and risks Identify opportunities to improve ways of working, tools or processes You’ll support your team to pre-empt requirements such as technical dependencies or the need for compute power Provide coaching for individuals to overcome challenges and ensure the conditions are in place to enable teams to produce pioneering and mission focused work Lead brainstorms and idea sharing, help to identify key themes, simplify complex problems and discover solutions Support the drive for engagement across the team by building and maintaining relationships, sharing constructive feedback, challenging established ways of thinking and inspiring them to achieve their full potential Evaluate the success of programs against their aims, goals and objectives Demonstrate a curious mindset and a commitment to learning and understanding your team’s technical field, and your broader understanding of AGI, in order to inform how you enable people, teams and optimise research About you In order to set you up for success as a Program Manager at Google DeepMind, we look for the following skills and experience: Knowledge and expertise in project/program management with the skill to navigate through ambiguity and adjust and adapt plans and strategies as project conditions change Experience supporting teams of different sizes to deliver projects at various lifecycle stages independently and through others Experience in solving complex challenges, implementing scalable and sustainable solutions Knowledge and experience in utilising coaching techniques to support individuals from diverse backgrounds in a high performing environment Strong communication skills, ability to develop meaningful relationships with key stakeholders and leverage these to influence action and outcomes Experience supporting teams in fast-paced and constantly changing environments, acting as a sounding board as individuals go through the change cycle and supporting during challenging times Skilled in collaboration with diverse individuals with varying backgrounds (e.g. engineering, computational biology, product management) In addition, the following would be an advantage: You are passionate about the sciences and AGI & proactive about learning and acquiring knowledge to enhance your domain knowledge Knowledge and familiarity with Biological Sciences. Knowledge and familiarity with AI and machine learning.

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.

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.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.