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- Tasks: Lead AI projects in defence, architecting solutions for UAV automation and LLMs.
- Company: Join Faculty, an applied AI specialist now part of Accenture.
- Benefits: Enjoy unlimited annual leave, private healthcare, and professional coaching.
- Other info: Be part of a prestigious, PhD-heavy culture with excellent career growth.
- Why this job: Make a real-world impact on national security with cutting-edge AI technology.
- Qualifications: Expertise in machine learning, leadership experience, and a track record in production software.
The predicted salary is between 130000 - 130000 £ per year.
Salary: £130k
Company Description: Faculty - Applied AI specialist now part of Accenture
Job Description: Lead technical strategy for high-stakes AI projects in the UK defence sector, collaborating with partners like MOD and Leonardo. You will architect production-grade solutions for UAV automation, LLMs, and edge AI while managing cross-functional teams. This role combines deep technical machine learning expertise with strategic client leadership to deliver real-world national security impact.
Location: London, UK
Why this role is remarkable: Work on mission-critical AI applications including UAV automation, satellite computer vision, and OSINT with LLMs that ship into real-world, high-stakes environments. Join a prestigious, PhD-heavy technical culture within a company that has transformed over 350 global customers and is now part of the Accenture network. Enjoy market-leading benefits including an unlimited annual leave policy, private healthcare, and dedicated professional coaching through Sanctus.
What you will do:
- Set the technical direction and architect scalable, production-grade ML solutions for complex defence and national security challenges.
- Lead and mentor multi-disciplinary teams of data scientists and managers, driving technical excellence and best practices across the organization.
- Act as a trusted advisor to senior government and military stakeholders, aligning cutting-edge AI capabilities with long-term strategic commercial goals.
The ideal candidate:
- Deep expertise in machine learning domains such as Computer Vision, NLP/LLMs, or Signal Processing with a track record of delivering production software.
- Proven technical leadership experience, including managing other managers and overseeing the end-to-end delivery of complex, high-risk technical roadmaps.
Lead Data Scientist at Faculty employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist at Faculty
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Faculty or similar roles. Attend meetups, webinars, or conferences where you can chat with potential colleagues and get the inside scoop on what they’re looking for.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those related to AI and machine learning. Use platforms like GitHub to share your code and demonstrate your technical prowess – it’s a great way to stand out!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical teams and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead Data Scientist at Faculty
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience in machine learning, especially in areas like Computer Vision and NLP. We want to see how your skills align with the high-stakes AI projects we tackle.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in the defence sector and how your background makes you the perfect fit for our team. Let us know what excites you about working with partners like MOD and Leonardo.
Showcase Your Leadership Skills: Since this role involves leading multi-disciplinary teams, make sure to highlight your leadership experience. Share examples of how you've mentored others and driven technical excellence in previous roles. We love seeing candidates who can inspire and guide their teams!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Faculty!
How to prepare for a job interview at Jack & Jill
✨Know Your AI Stuff
Make sure you brush up on your machine learning knowledge, especially in areas like Computer Vision and NLP. Be ready to discuss specific projects you've worked on and how they relate to the high-stakes AI applications mentioned in the job description.
✨Showcase Leadership Skills
Since this role involves leading multi-disciplinary teams, prepare examples of how you've successfully managed teams in the past. Highlight your experience in mentoring others and driving technical excellence, as this will resonate well with the interviewers.
✨Understand the Defence Sector
Familiarise yourself with the UK defence sector and the types of challenges they face. Being able to speak intelligently about how AI can address these issues will demonstrate your strategic thinking and alignment with the company's goals.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and how they measure success in AI initiatives. This shows your genuine interest in the role and helps you assess if it's the right fit for you.