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- Tasks: Lead high-impact AI projects and define strategic roadmaps.
- Company: Join an established applied AI company with a decade of innovation.
- Benefits: Enjoy a competitive salary, equity, and extensive annual leave.
- Why this job: Be a key player in cutting-edge AI solutions and work with top talent.
- Qualifications: Must have hands-on ML engineering experience and strong leadership skills.
- Other info: Office presence required three days a week; security clearance needed.
The predicted salary is between 102000 - 238000 £ per year.
London – 3 days a week on-site
Up to £170k + equity. Established applied AI company with a strong foothold in the space. Opportunity to be one of the most influential figures in the business. Highly technical role. My client has an impressive track record of delivering cutting edge AI products for customers across a range of industries. They’ve been in the ML/AI space for over a decade and some of the most talented people working for them.
This is your chance to lead some of the most interesting and high impact AI projects in the UK today.
To be considered for the role, you’ll need to have a solid track record of delivering multi-million pound ML/AI projects. You’ll need to be someone that brings strong commercial acumen, and the ability to define and execute AI roadmaps and strategy. Due to the technical nature of the role, we can only consider people who come from a machine learning engineer background. You’ll be working closely with engineers daily, so a strong foundation in ML engineering is essential. To lead effectively from the front, you’ll need hands-on experience designing, building, and deploying machine learning solutions.
It’s worth noting that there is a technical stage (system design) in the interview process. If that fits your background, I urge you to apply as this is a genuinely excellent opportunity and one not to be missed.
Essential requirements:
- Hands on ML engineering experience.
- Experience deploying scalable cloud products in a public cloud SaaS environment.
- Have built engineering teams and set a high bar of technical excellence.
- Managed significant budgets.
- Ability to juggle multiple high stake ML/AI projects at once.
- Demonstrated leadership across strategy and delivery of AI/ML initiatives.
- Adept at scoping projects with a commercial lens, optimising for both strategic value and technical feasibility.
Bonus requirements:
- Consultancy background.
- Public sector experience.
Benefits:
- Base salary of up to £170k
- Equity package.
- Extensive annual leave entitlement.
- Private health, dental and optical cover.
Please note that this role requires you to be in the office three days a week (Zone 1). You will also need to obtain security clearance so you must have resided in the UK for the past 5 years with no more than 6 months out of the country at any one time.
Reach out to Jamie Forgan at SR2 for more information.
Director of AI employer: SR2
Contact Detail:
SR2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI
✨Tip Number 1
Network with professionals in the AI and machine learning space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the company culture and the specific challenges they face.
✨Tip Number 2
Prepare for the technical stage of the interview by brushing up on system design principles and best practices in machine learning. Consider working on a few personal projects that showcase your ability to design and deploy scalable ML solutions, as these can serve as great discussion points during your interview.
✨Tip Number 3
Familiarise yourself with the latest trends and advancements in AI and machine learning. Being able to discuss recent developments or case studies during your interview will demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 4
Highlight your leadership experience in previous roles, especially in managing budgets and teams. Be ready to share specific examples of how you've successfully led high-stakes projects, as this will be crucial in showcasing your fit for the Director of AI position.
We think you need these skills to ace Director of AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on ML engineering experience and showcases your track record of delivering multi-million pound ML/AI projects. Use specific examples to demonstrate your leadership in strategy and delivery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and your understanding of the company's impact in the industry. Mention your experience in deploying scalable cloud products and managing significant budgets, as these are key aspects of the role.
Highlight Technical Skills: Since this is a highly technical role, ensure you detail your experience with machine learning solutions, including design, building, and deployment. Be prepared to discuss these in depth during the interview process.
Prepare for the Technical Stage: As there is a technical stage in the interview process, brush up on system design principles and be ready to showcase your problem-solving skills. Consider preparing a portfolio of past projects that demonstrate your technical expertise.
How to prepare for a job interview at SR2
✨Showcase Your Technical Expertise
Given the highly technical nature of the Director of AI role, it's crucial to demonstrate your hands-on experience in machine learning engineering. Be prepared to discuss specific projects where you've designed, built, and deployed ML solutions, highlighting the challenges you faced and how you overcame them.
✨Prepare for the Technical Stage
Since there's a technical stage in the interview process focused on system design, brush up on your knowledge of scalable cloud products and SaaS environments. Practise explaining your thought process when designing systems, as this will showcase your ability to lead from the front.
✨Emphasise Leadership and Strategy
This role requires strong leadership skills, so be ready to discuss your experience in managing teams and budgets. Share examples of how you've successfully scoped projects with a commercial lens, optimising for both strategic value and technical feasibility.
✨Demonstrate Commercial Acumen
The ability to juggle multiple high-stake ML/AI projects is essential. Prepare to talk about how you've balanced technical execution with business objectives in previous roles. Highlight any experience you have in delivering multi-million pound projects and how you ensured their success.
