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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, extensive leave, and health cover.
- 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.
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 machine learning deployment strategies. Consider working on a few mock projects that showcase your ability to design and implement scalable ML solutions.
✨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 conversations can demonstrate your passion and expertise in the field.
✨Tip Number 4
Highlight your leadership experience in previous roles, especially in managing teams and budgets. Be ready to share specific examples of how you've successfully led AI/ML projects and optimised them for both strategic value and technical feasibility.
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 any multi-million pound ML/AI projects you've delivered. Use specific metrics to demonstrate your impact and leadership in previous roles.
Craft a Compelling Cover Letter: In your cover letter, emphasise your commercial acumen and ability to define and execute AI roadmaps. Mention your experience in building engineering teams and managing significant budgets, as these are crucial for the role.
Showcase Technical Skills: Since this is a highly technical role, be sure to detail your experience with deploying scalable cloud products in a public cloud SaaS environment. Highlight any relevant projects that showcase your technical expertise.
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 discuss your approach to designing, building, and deploying machine learning solutions during the interview.
How to prepare for a job interview at SR2
✨Showcase Your Technical Expertise
Given the highly technical nature of the Director of AI role, be prepared to discuss your hands-on experience with machine learning engineering. Highlight specific projects where you designed, built, and deployed ML solutions, as this will demonstrate your capability to lead effectively.
✨Prepare for the Technical Stage
Since there is a technical stage in the interview process focused on system design, brush up on your knowledge of scalable cloud products and architecture. Be ready to articulate your thought process and decision-making when it comes to designing AI systems.
✨Demonstrate Leadership and Strategic Vision
This role requires strong leadership skills, so come prepared with examples of how you've led teams and managed significant budgets. Discuss your approach to scoping projects with a commercial lens, ensuring you can balance strategic value with technical feasibility.
✨Understand the Company’s Impact
Research the company’s past AI projects and their impact across various industries. Being knowledgeable about their work will not only impress your interviewers but also allow you to align your vision with theirs, showcasing your potential as an influential figure in the business.
