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- Tasks: Lead innovative AI/ML research and develop prototypes in a collaborative environment.
- Company: Join BAE Systems Digital Intelligence, a leader in cyber defence with 4,500 experts across 10 countries.
- 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 required.
- Other info: Roles may require security vetting; inclusivity is a priority in our recruitment process.
The predicted salary is between 48000 - 72000 £ per year.
Senior Research Scientist: Data Science and Machine Learning AIP
Location: Great Baddow, UK • Hybrid working: 2 days onsite per week
Requisition ID: 121740 • Grade: GG11 • Referral Bonus: £5,000
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work across 10 countries to collect, connect and understand complex data, enabling governments, armed forces and commercial businesses to unlock digital advantage in demanding environments.
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 a solid background in Machine Learning (ML) and/or statistical signal processing with excellent programming skills in Python and extensive experience with libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specializing in developing novel inference algorithms and applying AI/ML to sequential (time-series) data and decision making. The role offers the opportunity to work on AI/ML research topics for customers across space, defence, security and commercial sectors, as well as internal BAE Systems programmes, with opportunities to collaborate with Academic partners and grow technical research areas of interest.
The Data and Decision Support Capability has teams working across 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 learning, LLMs, knowledge graphs, NLP, graph ML and more. You will have the opportunity to work with colleagues in multi-disciplinary teams.
Typical Responsibilities
- Lead technical delivery of projects, lead junior researchers. Prepare and deliver technical reports, technical proposals and supporting material
- Lead novel research in given topic areas; collaborate with internal or external partners and/or UK universities
- Develop prototypes and proof of concept demonstrators
- Take ownership of tasks in projects and deliver to challenging standards
- Work effectively on self-directed projects and as part of a project team
- Present results to technical and non-technical audiences
- Mentor junior staff working on related research topics
- Publish and/or patent 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 applying AI/ML and/or statistical signal processing to sequential (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 encourage inclusive recruitment. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please note that many roles require security and export control checks, including Baseline Personnel Security Standard and possibly higher levels of National Security Vetting depending on the role.
Division overview: Capabilities. At BAE Systems Digital Intelligence, Capabilities is the engine that keeps the business moving forward and encompasses Engineering, Consulting and Project Management teams that design and implement defence solutions and digital transformation projects.
Referrals increase your chances of interviewing at BAE Systems Digital Intelligence by 2x. Get notified about new Senior Research Scientist jobs in Chelmsford, England, United Kingdom.
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Senior Research Scientist: Data Science and Machine Learning AIP employer: BAE Systems Digital Intelligence
Contact Detail:
BAE Systems Digital Intelligence 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 specific AI/ML frameworks mentioned in the job description, such as TensorFlow and PyTorch. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during discussions.
✨Tip Number 2
Engage with current trends and research in machine learning and statistical signal processing. Being able to discuss recent advancements or relevant case studies can set you apart in interviews and show your passion for the field.
✨Tip Number 3
Network with professionals in the industry, especially those working in sectors related to defence and security. Attend conferences or webinars where you can meet potential colleagues and learn more about the challenges they face, which could be useful for your application.
✨Tip Number 4
Prepare to discuss your previous projects in detail, particularly those involving time-series data and decision-making. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
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 like TensorFlow or PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and BAE Systems. Discuss how your background aligns with their needs, particularly in AI/ML applications to sequential data and decision-making.
Showcase Relevant Projects: If you have worked on prototypes or proof of concept demonstrators, mention these in your application. Highlight any collaborative work with academic partners or other organisations that showcases your ability to lead and innovate.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail. Prepare examples of how you've applied AI/ML techniques in real-world scenarios, especially in areas like radar signal processing or data fusion.
How to prepare for a job interview at BAE Systems Digital Intelligence
✨Showcase Your Technical Skills
Make sure to highlight your expertise in machine learning and statistical signal processing. Be prepared to discuss specific projects where you've applied Python and relevant libraries like TensorFlow or PyTorch.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI/ML applications, especially in sequential data and decision-making. Brush up on your knowledge of algorithms and be ready to explain your thought process clearly.
✨Demonstrate Collaboration Experience
BAE Systems values teamwork, so share examples of how you've successfully collaborated with multidisciplinary teams. Discuss any mentoring experiences you have, as this role involves leading junior researchers.
✨Understand the Company’s Mission
Familiarise yourself with BAE Systems' focus on digital intelligence and their work across various sectors. Being able to articulate how your skills align with their mission will show your genuine interest in the role.
