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- Tasks: Lead AI and machine learning research initiatives, ensuring clear outcomes and structured delivery.
- Company: Join a leading AI research lab in Oxford with global collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunity to shape the future of AI.
- Other info: Dynamic role with opportunities for growth in an innovative tech environment.
- Why this job: Make a real impact in cutting-edge AI research while working with international teams.
- Qualifications: Proven experience in leading complex programmes and strong stakeholder management skills.
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 in Slough 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 in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those connected to the programme you're eyeing. Attend events, webinars, or even local meetups to make those valuable connections.
✨Tip Number 2
Prepare for interviews by diving deep into the latest trends in AI and machine learning. Be ready to discuss how your experience aligns with the role's responsibilities, especially around programme leadership and stakeholder management.
✨Tip Number 3
Showcase your ability to handle complex programmes by sharing specific examples from your past. Use the STAR method (Situation, Task, Action, Result) to clearly articulate your achievements and how they relate to the job.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Programme Lead AI and Machine Learning in Slough
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 the responsibilities outlined in the job description.
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 successfully managed similar projects and worked with international stakeholders. We love a good story!
Showcase Your Technical Knowledge: Since this role involves working closely with technical teams, don’t shy away from showcasing your understanding of AI and machine learning. We want to know how you can bridge the gap between technical and non-technical stakeholders, so include relevant experiences.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Impax Recruitment
✨Know Your AI Stuff
Make sure you brush up on the latest trends and developments in AI and machine learning. Be ready to discuss specific projects or technologies you've worked with, as well as how they relate to the responsibilities of the Programme Lead role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading complex programmes. Think about times when you successfully managed teams, navigated challenges, or drove projects to completion. This will demonstrate your capability to oversee multiple research workstreams effectively.
✨Understand Stakeholder Dynamics
Familiarise yourself with the importance of stakeholder management in this role. Be ready to discuss how you've built relationships with senior stakeholders and translated technical jargon into clear communication for non-technical audiences.
✨Prepare for Technical Discussions
Since you'll be working closely with machine learning engineers and research teams, be prepared to engage in technical discussions. Brush up on relevant frameworks and methodologies, and think about how you can support collaboration across different teams.