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- Tasks: Lead AI and machine learning research initiatives, ensuring structured delivery and clear outcomes.
- Company: Join a leading AI research lab in Oxford with global collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge AI technologies and research.
- Why this job: Make a real impact in the AI field while working with international teams.
- Qualifications: Proven experience in leading complex programmes and managing senior stakeholders.
The predicted salary is between 110000 - 130000 £ per year.
Location: Hybrid, Oxford area
Duration: 18 month fixed term engagement
Start: ASAP
Salary: £110,000 to £130,000 depending on experience
Overview
We are supporting an advanced artificial intelligence research programme being delivered by a leading AI research lab based in Oxford. The programme is funded by an international organisation and involves collaboration across the UK, Japan and the United States. The Programme Lead will be responsible for overseeing a portfolio of AI and machine learning research initiatives, ensuring that complex research programmes move from experimentation into structured delivery with clear outcomes. This role requires a senior delivery leader who can operate comfortably in a highly technical environment, working closely with machine learning engineers, research teams and international stakeholders.
The programme will involve multiple research workstreams focused on emerging areas of artificial intelligence including:
- AI privacy and responsible AI frameworks
- Development of open source AI platforms
- Data sovereignty and governance in AI systems
- Advanced machine learning infrastructure and experimentation
Each workstream will consist of specialist machine learning engineers and research teams working on different use cases. The Programme Lead will provide the delivery structure around this research environment, ensuring that progress, outcomes and funding objectives are clearly defined and achieved.
Role Responsibilities
Programme Leadership- Lead and coordinate a portfolio of AI and machine learning research workstreams, ensuring alignment across technical teams and stakeholders.
- Define delivery structure, priorities and sequencing across initiatives, ensuring research programmes progress into tangible outcomes.
- Act as the senior escalation point for programme risks, dependencies and delivery challenges.
- Drive momentum and ensure progress across multiple research teams operating in parallel.
- Establish appropriate governance, reporting and delivery frameworks across the programme.
- Provide clear and structured reporting to senior stakeholders and programme sponsors.
- Ensure programme milestones, deliverables and benefits are clearly tracked and communicated.
- Maintain oversight of programme performance, progress and resource alignment.
- Work closely with international stakeholders across the UK, Japan and the United States.
- Build strong relationships with technical leaders, programme sponsors and delivery partners.
- Translate complex technical progress into clear updates for non-technical stakeholders.
- Represent the programme in governance forums and stakeholder reviews.
- Embed within a highly technical environment alongside machine learning engineers and research teams.
- Support collaboration across multiple AI research workstreams.
- Ensure technical teams are aligned with programme goals and delivery timelines.
- Create a structured delivery environment that allows research teams to move effectively from experimentation into implementation.
The Programme Lead will operate as the senior delivery lead within the programme structure and will be supported by:
- Project Manager
- PMO support
Technical delivery will be carried out by multiple teams of machine learning engineers across the programme workstreams.
Essential Experience
- Proven experience leading complex programmes from mobilisation through delivery.
- Experience managing programmes in innovation, research or advanced technology environments.
- Strong track record of working with senior stakeholders and programme sponsors.
- Ability to operate effectively in environments with evolving priorities and ambiguity.
- Experience establishing governance, delivery frameworks and programme reporting.
- Strong ability to translate complex technical work into clear business communication.
Desirable Experience
- Exposure to artificial intelligence, machine learning or advanced data programmes.
- Experience working in research and development environments.
- Experience managing programmes involving international stakeholders.
- Previous consulting or advisory experience in complex transformation programmes.
Programme Lead AI and Machine Learning employer: Impax Recruitment
Contact Detail:
Impax Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Programme Lead AI and Machine Learning
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and machine learning space. Attend meetups, webinars, or conferences to meet potential colleagues and industry leaders. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your previous projects or contributions to AI and machine learning. This can be a great conversation starter during interviews and helps demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of AI frameworks, data governance, and programme management. Be ready to discuss how you've tackled challenges in past roles and how you can bring that experience to the table.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Programme Lead AI and Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Programme Lead role. Highlight your experience in leading complex programmes, especially in AI and machine learning. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've managed similar projects and worked with international stakeholders. Let us know what excites you about this opportunity!
Showcase Your Technical Understanding: Since this role involves working closely with technical teams, make sure to demonstrate your understanding of AI and machine learning concepts. We appreciate candidates who can translate complex ideas into clear communication for non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us. We can't wait to hear from you!
How to prepare for a job interview at Impax Recruitment
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss specific projects you've worked on, especially those that involved complex programmes or international collaboration. This will show your depth of knowledge and experience in the field.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing complex projects. Think about times when you had to navigate challenges or align diverse stakeholders. Being able to articulate your leadership style and how you drive results will be key.
✨Communicate Clearly
Since you'll be translating technical jargon for non-technical stakeholders, practice explaining complex concepts in simple terms. Use analogies or real-world examples to make your points relatable. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Understand the Programme's Goals
Familiarise yourself with the specific objectives of the programme and the workstreams involved. Be prepared to discuss how you would structure delivery and governance to meet these goals. Showing that you understand the bigger picture will impress the interviewers.