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- Tasks: Lead AI/ML research projects and mentor junior researchers in a collaborative environment.
- Company: BAE Systems Digital Intelligence employs 4,500 experts across 10 countries, tackling complex data challenges.
- Benefits: Enjoy flexible working, competitive rewards, and opportunities for professional growth and community involvement.
- Why this job: Make a real difference in an inclusive culture while working on cutting-edge technology projects.
- Qualifications: PhD or equivalent experience in AI/ML, with strong Python skills and relevant industry experience.
- Other info: Roles may require security clearances; adjustments for disabilities are available.
The predicted salary is between 48000 - 72000 £ per year.
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 internal BAE Systems programmes. You will also have the chance to maintain strong links with academic partners and grow your technical research areas of interest.
The Data and Decision Support Capability includes diverse teams working in AI/ML areas such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, signal processing, edge ML, image analysis, generative AI, LLMs, NLP, and knowledge graphs. You will collaborate with multidisciplinary teams.
Typical Responsibilities:
- Lead technical project delivery, including mentoring junior researchers.
- Prepare and present technical reports, proposals, and supporting materials.
- Conduct novel research in partnership with external suppliers and UK universities.
- Develop prototypes and proof of concept demonstrators.
- Take ownership of tasks and deliver high standards.
- Work independently and in teams.
- Present results to technical and non-technical audiences.
- Mentor junior staff on research topics.
- Publish patents or research findings in academic journals and conferences.
You should have a solid background in Machine Learning and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes.
Qualifications include:
- PhD or equivalent industry experience in a relevant discipline.
- Several years of AI/ML and/or signal processing experience applied to sensor time-series data and decision-making post-PhD.
- Experience in Python software development for proofs of concept.
- Experience with frameworks like TensorFlow, PyTorch, scikit-learn, etc.
Preferred experience in domains such as RF communications, EW, radar, sonar, distributed sensing, autonomy, space-awareness, or pattern analytics.
BAE Systems Digital Intelligence employs 4,500 experts across 10 countries, working on complex data to support government, military, and commercial clients.
Why join BAE Systems? You can make a real difference in an inclusive culture that values diversity, integrity, and merit. We welcome applicants from all backgrounds and offer adjustments for disabilities. Many roles require security clearances, including the Baseline Personnel Security Standard and higher vetting levels depending on the role and residency history.
Our Capabilities division leads in cyber defense, engineering, consulting, and project management, delivering solutions across air, land, sea, cyber, and space sectors. Join us to work on boundary-pushing projects in a supportive environment with opportunities for professional growth, accreditation, and community involvement. We offer flexible working, competitive rewards, and a rewarding career path in a diverse and innovative company.
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Senior Research Scientist: Data Science and Machine Learning AIP Before you apply -Don\'t miss o[...] employer: BAE Systems.
Contact Detail:
BAE Systems. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist: Data Science and Machine Learning AIP Before you apply -Don\'t miss o[...]
✨Tip Number 1
Familiarise yourself with the latest trends and advancements in AI/ML, especially in areas like reinforcement learning and generative AI. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry, particularly those working at BAE Systems or similar companies. Attend relevant conferences or webinars to connect with potential colleagues and learn more about their work, which can give you insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving Python and machine learning frameworks like TensorFlow or PyTorch. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Consider reaching out to current or former employees of BAE Systems on platforms like LinkedIn. Ask them about their experiences and any advice they might have for someone applying for the Senior Research Scientist position, as insider knowledge can be incredibly valuable.
We think you need these skills to ace Senior Research Scientist: Data Science and Machine Learning AIP Before you apply -Don\'t miss o[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and signal processing, particularly with sensor time-series data. Include specific projects or research that demonstrate your expertise in Python and relevant frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML research and how it aligns with the work at BAE Systems. Mention your experience with multidisciplinary teams and your ability to mentor junior researchers, as these are key aspects of the role.
Showcase Relevant Projects: Include a section in your application that details any prototypes or proof of concept demonstrators you have developed. This will illustrate your hands-on experience and ability to deliver technical project outcomes.
Prepare for Technical Questions: Anticipate technical questions related to your research and programming skills during the interview process. Be ready to discuss your experience with machine learning algorithms, statistical signal processing, and how you've applied these in real-world scenarios.
How to prepare for a job interview at BAE Systems.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML and signal processing in detail. Highlight specific projects where you've applied Python programming and relevant libraries like TensorFlow or PyTorch, as this will demonstrate your hands-on skills.
✨Prepare for Collaborative Scenarios
Since the role involves working with multidisciplinary teams, think of examples where you've successfully collaborated with others. Be ready to explain how you mentored junior researchers or contributed to team projects, showcasing your leadership abilities.
✨Communicate Clearly with Diverse Audiences
Practice explaining complex technical concepts in simple terms. You may need to present your findings to both technical and non-technical audiences, so being able to adapt your communication style is crucial.
✨Demonstrate Your Research Passion
Express your enthusiasm for ongoing research and development in AI/ML. Discuss any publications, patents, or innovative projects you've been involved in, as this will reflect your commitment to advancing the field.