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- Tasks: Lead AI and machine learning research initiatives, ensuring successful 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 excellent career advancement opportunities in a fast-evolving field.
- Why this job: Make an impact in cutting-edge AI research while working with international teams.
- Qualifications: Proven experience in programme leadership and managing complex technical projects.
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 City of London 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 City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Programme Lead role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your past projects and achievements in AI and machine learning. This will give potential employers a clear view of what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've successfully led complex programmes in the past. We want to see how you can translate that experience into the role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying to express your enthusiasm!
We think you need these skills to ace Programme Lead AI and Machine Learning in City of London
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 and working with international stakeholders. We want to see how your background aligns with our focus on AI and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills can help us drive our research initiatives forward. Keep it concise but impactful, showing us your personality and enthusiasm.
Showcase Relevant Experience: When filling out your application, be sure to showcase any relevant experience you have in innovation or advanced technology environments. We’re looking for someone who can navigate complex delivery challenges, so don’t hold back on those examples!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy to do!
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 you've worked on, especially those that involved complex programmes or international collaboration. This will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading complex programmes. Think about times when you had to manage multiple teams or stakeholders, and be ready to explain how you ensured alignment and progress. This is crucial for a Programme Lead role.
✨Communicate Clearly
Since you'll need to translate technical jargon into clear updates for non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between technical teams and senior management.
✨Understand the Governance Framework
Familiarise yourself with governance structures and reporting frameworks relevant to AI research programmes. Be prepared to discuss how you would establish these in your role, ensuring that milestones and deliverables are tracked effectively.