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- Tasks: Lead AI projects, mentor junior staff, and engage with customers across various sectors.
- Company: BAE Systems Digital Intelligence is a global leader in digital, cyber, and intelligence solutions.
- Benefits: Enjoy hybrid working, a diverse culture, and a £5,000 referral bonus.
- Why this job: Make a real impact in AI/ML while collaborating with top experts and academic partners.
- Qualifications: PhD in a relevant field and 10+ years of AI/ML experience, preferably in Defence.
- Other info: Flexible working hours and a commitment to diversity and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Lead Technologist – AI & ML role at BAE Systems Digital Intelligence
Join to apply for the Lead Technologist – AI & ML role at BAE Systems Digital Intelligence
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Location(s): UK, Europe & Africa : UK : Great Baddow
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.
Location(s): UK, Europe & Africa : UK : Great Baddow
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.
Job Title: Lead Technologist
Requisition ID: 121679
Location: Great Baddow, Hybrid working with 2 days onsite per week
Grade: GG12 – GG13
Referral Bonus: £5,000
BAE Systems Digital Intelligence is seeking to recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability.
The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing application areas.
You should have existing skills in the latest developments in Artificial Intelligence and Machine Learning. You are also likely to have a strong background in the mathematics, statistics and computational techniques which underpin AI/ML
What We Are Looking For
As a lead technologist you will demonstrate deep expertise in at least one area of interest of the capability, but also a good level of knowledge over all areas, allowing you to assist and mentor colleagues in their everyday activities. You will have excellent written and oral communication abilities, whilst the engineering assurance activities associated with lead technologist role will require you to have the attributes of a skilled and experienced reviewer.
Candidates will have the opportunity to mix technical challenges with customer-facing and project support tasks. You will engage with and undertake assurance for a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with academic partners and to grow technical research areas of interest to you.
Typical Responsibilities
- Lead technical delivery of large AI projects. Leading and assuring the preparation and delivery of technical reports, technical proposals and supporting material.
- Identify novel research in given topic areas, with the potential for partnership with leading UK Universities or other parts of BAE Systems. Direct research activities in key areas.
- Effectively present research topics to both technical and non-technical audiences in house and to external customers.
- Undertake technical mentoring of more junior staff.
- Provide engineering assurance on bids, publications and project deliverables, improving the quality of these outputs using your skill and experience.
Essential Knowledge, Skills And Experience
- You will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector.
- You will have experience of previously leading R&D teams with a minimum of 5 developers.
- You will have experience of previously undertaking Engineering Assurance activities.
- Proposal writing (e.g. Dstl, NS, EPSRC) experience is essential.
Of particular interest are candidates with experience in one or more of the following domains:
- AI/ML for imagery including applied to remote sensing applications.
- Reinforcement learning.
- Natural Language Processing.
- Large Language Models.
- Knowledge graphs and graph-based neural nets.
- AI/ML for RF and EW, radar, sonar, acoustics.
- Autonomy
Desirable Knowledge, Skills And Experience
Evidence of publication in relevant journals and conferences is highly advantageous.
Why BAE Systems?
This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.
Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.
Life at BAE Systems Digital Intelligence
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.
By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential.
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Lead Technologist - AI & ML employer: BAE Systems Digital Intelligence
Contact Detail:
BAE Systems Digital Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Technologist - AI & ML
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in AI and ML, especially those relevant to defence applications. This will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AI and ML fields, particularly those who have experience in defence or related sectors. Attend industry conferences or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss your leadership experiences in R&D settings. Be ready to share specific examples of how you've successfully led teams and projects, as this is a key aspect of the Lead Technologist role.
✨Tip Number 4
Research BAE Systems' current projects and partnerships in AI and ML. Understanding their work will allow you to tailor your discussions and show how your skills align with their goals.
We think you need these skills to ace Lead Technologist - AI & ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, particularly in areas relevant to the role such as reinforcement learning, NLP, and engineering assurance. Use specific examples that demonstrate your expertise and leadership in these fields.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and ML and how it aligns with BAE Systems' mission. Mention your PhD and relevant experience, and explain how you can contribute to their Data and Decision Support Capability.
Showcase Your Communication Skills: Since the role requires excellent written and oral communication abilities, consider including a brief section in your application that highlights your experience presenting complex topics to both technical and non-technical audiences.
Highlight Leadership Experience: Emphasise any previous experience leading R&D teams or mentoring junior staff. This is crucial for the Lead Technologist position, so provide concrete examples of how you've successfully guided teams in AI/ML projects.
How to prepare for a job interview at BAE Systems Digital Intelligence
✨Showcase Your Expertise
As a Lead Technologist, it's crucial to demonstrate your deep expertise in AI and ML. Be prepared to discuss specific projects you've led, the technologies you used, and the outcomes achieved. Highlight your experience in reinforcement learning, NLP, or any other relevant area.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of AI/ML concepts and methodologies. Brush up on key topics such as knowledge graphs, large language models, and engineering assurance activities. Being able to explain complex ideas clearly will impress your interviewers.
✨Demonstrate Leadership Skills
Since this role involves mentoring junior staff and leading teams, be ready to share examples of how you've successfully managed teams in the past. Discuss your approach to fostering collaboration and innovation within your team, as well as any challenges you've overcome.
✨Engage with the Company’s Vision
BAE Systems values diversity and inclusion, so make sure to express your alignment with their organisational culture. Research their projects and initiatives, and be prepared to discuss how your values and experiences can contribute to their mission of unlocking digital advantage.
