At a Glance
- Tasks: Lead AI & ML projects, ensuring they meet user needs and transition into operational capabilities.
- Company: Join the RAF and be at the forefront of AI & ML innovation.
- Benefits: Competitive salary, unique military experience, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to engage with industry and academic partners.
- Why this job: Make a real impact in defence through cutting-edge AI & ML technologies.
- Qualifications: Experience in AI & ML, strong leadership, and project management skills.
The predicted salary is between 60000 - 80000 £ per year.
A vacancy has arisen for a Sqn Ldr (Any) to serve as SO2 Artificial Intelligence & Machine Learning at HWY on Full Time Reserve Service (Limited Commitment) Terms and Conditions of Service (TCoS), with an initial proposed start date of 08 September 2026.
Artificial Intelligence (AI) and Machine Learning (ML) are central to delivering operational advantage and decision superiority in a contested, data-driven battlespace. This post will lead the coherence, prioritisation and assured transition of Air’s AI & ML experimentation, working at pace whilst remaining aligned to Defence-level governance, the Defence AI Centre (DAIC), and the digital ecosystem that underpins integration and scale.
As Air’s focal point for AI & ML experimentation and exploitation, with particular responsibility for cohering ongoing projects ensuring they are positioned to successfully transition into enduring capabilities, appropriately owned across Defence or by RAF Digital. The post’s responsibilities are:
- Lead and cohere Air’s AI&ML experimentation portfolio, setting direction and priorities aligned to operational outcomes.
- Provide oversight of AI&ML activity, ensuring projects address clear user needs and are positioned for successful transition into enduring capability, without duplicating project-level delivery.
- Align Air activity with the Defence AI Centre (DAIC), leveraging Defence-wide support, expertise and delivery routes.
- Advocate for and exploit emerging AI&ML technologies, working with National Armaments Digital and Data and RAF Digital to enable integration and scale.
- Enable the transition of AI&ML prototypes into operational capability, ensuring appropriate ownership, assurance and sustainment.
- Shape Air’s AI&ML research priorities with Dstl, linking operational challenges to future capability development.
- Engage with industry and academic partners to track developments and strengthen Air’s position within the wider AI ecosystem.
- Provide clear reporting and advice to governance bodies, supporting prioritisation, risk management and informed decision-making.
So2 Ai & Ml in London employer: Serve
As a leader in the field of Artificial Intelligence and Machine Learning, our company offers an exceptional work environment that fosters innovation and collaboration. Located at HWY, we provide our employees with unique opportunities for professional growth, access to cutting-edge technology, and the chance to make a significant impact on national defence. Our supportive culture encourages continuous learning and engagement with industry experts, making it an ideal place for those seeking meaningful and rewarding careers in a dynamic and evolving sector.
StudySmarter Expert Advice🤫
We think this is how you could land So2 Ai & Ml in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and ML space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI and ML projects. Whether it's a GitHub repository or a personal website, let us see what you can do. This is your chance to shine and demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Defence-level governance and the digital ecosystem. We recommend researching the latest trends in AI and ML, especially those relevant to the military context. Being well-informed will help you stand out during discussions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for passionate individuals who are ready to lead the charge in AI and ML experimentation. Don’t miss out on the opportunity!
We think you need these skills to ace So2 Ai & Ml in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and ML. We want to see how your skills align with the responsibilities of leading Air’s AI & ML experimentation portfolio.
Showcase Relevant Experience:When detailing your past roles, focus on specific projects where you’ve successfully transitioned AI or ML prototypes into operational capabilities. We love seeing concrete examples that demonstrate your impact!
Align with Our Values:Familiarise yourself with the Defence AI Centre and our digital ecosystem. We appreciate candidates who understand our mission and can articulate how they would contribute to our goals in AI and ML.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Serve
✨Know Your AI & ML Stuff
Make sure you brush up on the latest trends and technologies in AI and ML. Understand how they apply to operational contexts, especially in defence. Being able to discuss specific projects or case studies will show your depth of knowledge and passion for the field.
✨Align with Defence Goals
Familiarise yourself with the Defence AI Centre and its objectives. Be prepared to discuss how your vision for AI and ML can align with their goals. This shows that you’re not just thinking about technology, but also about how it fits into the bigger picture.
✨Showcase Your Leadership Skills
As this role involves leading AI and ML experimentation, be ready to share examples of how you've successfully led projects in the past. Highlight your ability to prioritise tasks and manage teams effectively, especially in fast-paced environments.
✨Engage with Industry Insights
Stay updated on current developments in the AI ecosystem, including partnerships with industry and academia. Bring insights from these areas into your conversation to demonstrate your proactive approach and understanding of the broader landscape.
