At a Glance
- Tasks: Lead innovative AI/ML research and develop prototypes in a collaborative environment.
- Company: Join BAE Systems, a leader in digital intelligence and cyber defence with a global presence.
- Benefits: Enjoy an inclusive culture, diverse teams, and opportunities for personal growth and development.
- Why this job: Make a real impact in defence and security while working on cutting-edge technology.
- Qualifications: PhD or equivalent experience in AI/ML, strong Python skills, and expertise in relevant domains.
- Other info: Roles may require security vetting; inclusivity is a priority in our recruitment process.
The predicted salary is between 43200 - 72000 £ per year.
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: Senior Research Scientist
Requisition ID:
Location: Great Baddow – Hybrid working 2 days onsite per week
Grade: GG11
Referral Bonus: £5,000
BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability.
You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development.
The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making.
The candidate will have the opportunity to deliver 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.
The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams.
Typical Responsibilities:
Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material
Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities
Develop prototypes and proof of concept demonstrators
Take ownership of tasks in projects and deliver to challenging standards
Work effectively both on self-directed projects and as part of a project team
Effectively present results to both technical and non-technical audiences
Undertake mentoring of junior staff working on similar research topics
Patent and/or publish (e.g. in academic conference and journal articles) novel concepts and research findings, where appropriate.
Essential Knowledge, Skills and Experience:
- PhD or equivalent industry experience in a relevant discipline
- Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD.
- Experience in software development for proof of concept in Python.
- Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc.
Of particular interest are candidates with experience in one or more of the following domains:
RF communications and CEMA
Electronic or Electromagnetic Warfare (EW)
Tracking and sensor data fusion
Radar signal processing
Acoustic data processing (including sonar)
Distributed sensing and processing
Autonomy
Human machine teaming
Space-domain Awareness (SDA)
Positioning, navigation, and timing
Pattern of life analytics
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.
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.
Division overview: Capabilities
At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector.
As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.
Senior Research Scientist: Data Science and Machine Learning AIP employer: BAE
Contact Detail:
BAE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist: Data Science and Machine Learning AIP
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in areas like reinforcement learning and time-series analysis. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the academic community by attending relevant conferences or webinars. Networking with professionals in the field can provide insights into current research and may even lead to collaborative opportunities that could strengthen your application.
✨Tip Number 3
Showcase your programming skills by contributing to open-source projects or developing your own projects using Python and popular ML libraries. This practical experience can set you apart from other candidates and highlight your hands-on expertise.
✨Tip Number 4
Prepare to discuss your previous research and its impact on real-world applications. Being able to articulate how your work has contributed to advancements in AI/ML will resonate well with the interviewers at BAE Systems.
We think you need these skills to ace Senior Research Scientist: Data Science and Machine Learning AIP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and statistical signal processing. Include specific projects or roles where you've used Python and relevant libraries, as this is crucial for the Senior Research Scientist position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with BAE Systems' goals. Mention any relevant collaborations with academic partners or industry leaders, as well as your interest in working on diverse AI/ML topics.
Showcase Your Research Experience: Detail your research contributions, especially any patents or publications. Highlight your ability to lead projects and mentor junior researchers, as these are key responsibilities of the role.
Prepare for Technical Questions: Anticipate technical questions related to your expertise in AI/ML frameworks like TensorFlow and PyTorch. Be ready to discuss your approach to developing prototypes and proof of concept demonstrators, as well as your experience with time-series data.
How to prepare for a job interview at BAE
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you've applied these technologies, especially in relation to sequential data and decision-making.
✨Demonstrate Leadership Skills
Since the role involves leading junior researchers, be ready to share examples of how you've mentored others or led projects. Discuss your approach to guiding teams and ensuring high standards in technical delivery.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI/ML and statistical signal processing. Brush up on key concepts and be ready to solve problems on the spot, as this will demonstrate your analytical skills and depth of knowledge.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. You'll need to present results to both technical and non-technical audiences, so showcasing your ability to communicate clearly is crucial.