At a Glance
- Tasks: Lead AI projects, mentor teams, and present research to diverse audiences.
- Company: BAE Systems Digital Intelligence is a global leader in digital, cyber, and intelligence solutions.
- Benefits: Enjoy hybrid working, inclusive culture, and opportunities for personal growth.
- Why this job: Make a real impact in AI/ML while collaborating with top experts and academic partners.
- Qualifications: PhD in relevant field and 10+ years of AI/ML experience required.
- Other info: Security clearance needed; flexible working hours enhance work-life balance.
The predicted salary is between 54000 - 84000 £ per year.
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.
BAE Systems Digital Intelligence is seeking to recruit a lead technologist to join our rapidly expanding Data and Decision Support Capability. We are looking for a candidate who is adaptable, enthusiastic and highly-motivated. 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.
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, including both computer vision and remote sensing application areas
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 the 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.
It is common for multi-disciplinary teams to be assembled from across the capability, and also with other departments within BAE Systems Digital Intelligence and the wider BAE Systems business units. You will be expected to have the skills required to both contribute to, and to lead these teams on occasion.
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.
Knowledge, Skills and Experience:
- You will have a PhD in a relevant discipline and over ten years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector.
- 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.
- Natural Language Processing.
- Knowledge graphs and graph-based neural nets.
- AI/ML for RF and EW, radar, sonar, acoustics.
- Autonomy.
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.
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.
Security Clearance:
Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us.
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.
Lead Technologist - AI & ML employer: BAE Systems Applied Intelligence
Contact Detail:
BAE Systems Applied 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 advancements in AI and ML, especially in areas like reinforcement learning and NLP. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI/ML field, particularly those who have experience in defence or security sectors. Attend relevant conferences or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss your previous leadership experiences in R&D teams. Be ready to share specific examples of how you've mentored junior staff and led successful projects, as this is a key aspect of the Lead Technologist role.
✨Tip Number 4
Research BAE Systems' current projects and partnerships with academic institutions. Understanding their ongoing work can help you tailor your discussions and demonstrate your genuine interest in contributing to their mission.
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 mentioned in the job description such as reinforcement learning, NLP, and knowledge graphs. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and BAE Systems. Discuss how your background aligns with their needs, particularly your experience leading R&D teams and your ability to mentor others.
Showcase Relevant Projects: Include details of any significant projects you've led or contributed to that relate to AI/ML. Highlight your role, the challenges faced, and the outcomes achieved, especially in a defence context if applicable.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during interviews. Brush up on key concepts in AI and ML, and be prepared to explain your thought process in problem-solving scenarios relevant to the role.
How to prepare for a job interview at BAE Systems Applied Intelligence
✨Showcase Your Expertise
Make sure to highlight your deep expertise in AI and ML during the interview. Be prepared to discuss specific projects you've worked on, particularly those that align with the areas mentioned in the job description, such as NLP or computer vision.
✨Demonstrate Communication Skills
Since the role requires excellent written and oral communication abilities, practice explaining complex technical concepts in simple terms. This will help you connect with both technical and non-technical audiences, which is crucial for the position.
✨Prepare for Technical Questions
Expect to face technical questions related to AI/ML methodologies and applications. Brush up on your knowledge of reinforcement learning, knowledge graphs, and other relevant topics to confidently answer any queries that may arise.
✨Emphasise Team Leadership Experience
As a lead technologist, you'll need to demonstrate your ability to lead and mentor teams. Share examples of how you've successfully managed R&D teams in the past, focusing on your leadership style and how you foster collaboration among team members.