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- Tasks: Lead research projects, develop AI/ML algorithms, and mentor junior researchers.
- Company: BAE Systems Digital Intelligence is a leader in digital, cyber, and intelligence solutions across 10 countries.
- Benefits: Enjoy a diverse culture, inclusive recruitment, and opportunities for personal research interests.
- Why this job: Make a meaningful impact while working on cutting-edge technology in a collaborative environment.
- Qualifications: PhD or equivalent experience in AI/ML or signal processing; strong Python skills required.
- Other info: Opportunities to collaborate with academic partners and publish innovative findings.
The predicted salary is between 48000 - 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 across 10 countries to collect, connect, and understand complex data, enabling governments, armed forces, and businesses to unlock digital advantages in demanding environments.
We are seeking a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is within our Advanced Information Processing (AIP) group, focusing on developing inference algorithms and applying AI/ML to sequential data and decision-making processes. You will work on diverse research topics for clients in space, defense, security, and commercial sectors, as well as internal projects. There will also be opportunities to collaborate with academic partners and pursue personal research interests.
The Data and Decision Support Capability encompasses teams working on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical challenges and customer-facing tasks.
Candidates should have a PhD or equivalent industry experience in a relevant discipline, with several years of applying AI/ML or statistical signal processing to sensor time-series data and decision-making. Experience in domains like RF communications, electromagnetic warfare, radar, acoustic processing, sensor fusion, autonomy, human-machine teaming, or space-domain awareness is highly desirable. Leadership experience in research project delivery is a plus.
Typical Responsibilities:
- Lead technical project delivery and supervise junior researchers; prepare reports and proposals.
- Drive novel research in collaboration with partners and universities.
- Develop prototypes and proof-of-concept demonstrators.
- Own project tasks and deliver to high standards.
- Work independently and within teams on technical projects.
- Present results to technical and non-technical audiences.
- Mentor junior staff on research topics.
- Publish and patent innovative concepts and findings.
Knowledge, Skills, and Experience:
- PhD or equivalent experience in a relevant field, with expertise in applying AI/ML or signal processing to sequential data.
- Experience in domains such as RF, EW, radar, acoustic processing, sensor fusion, autonomy, or space awareness.
- Proficiency in Python software development.
- Experience with frameworks like TensorFlow, PyTorch, scikit-learn.
- Legal right to work in the UK.
- Publication record in relevant journals or conferences is advantageous.
- Interest in working in a secure environment is desirable but not essential.
Why BAE Systems?
Join us to make a meaningful impact in a culture that values diversity, integrity, and merit. We support inclusive recruitment and reasonable adjustments for applicants with disabilities or health conditions. Many roles require security vetting, with some demanding long residency in the UK.
Division overview: Capabilities
Our Capabilities team leads in cyber defense, engineering, consulting, and project management, delivering solutions that keep us at the forefront of digital transformation and defense industries. Join us to help create and manage solutions that secure our clients in a constantly evolving digital landscape.
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Senior Research Scientist: Data Science and Machine Learning employer: BAE Systems (New)
Contact Detail:
BAE Systems (New) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist: Data Science and Machine Learning
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly in areas like reinforcement learning and sensor fusion. This will not only enhance your knowledge but also demonstrate your commitment to staying at the forefront of the field during interviews.
✨Tip Number 2
Engage with the research community by attending relevant conferences or webinars. Networking with professionals in the field can provide insights into current trends and may even lead to valuable connections that could support your application.
✨Tip Number 3
Showcase your Python programming skills by contributing to open-source projects or developing your own projects using libraries like TensorFlow or PyTorch. This practical experience can set you apart from other candidates and give you concrete examples to discuss in interviews.
✨Tip Number 4
Prepare to discuss your leadership experience and how you've successfully managed research projects. Highlight specific examples where you mentored junior researchers or collaborated with multidisciplinary teams, as this aligns well with the responsibilities of the role.
We think you need these skills to ace Senior Research Scientist: Data Science and Machine Learning
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 where you've applied these skills, especially in relevant domains like RF communications or sensor fusion.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with the responsibilities of the role. Mention any leadership experience in research project delivery and your interest in collaborating with academic partners.
Showcase Your Technical Skills: Clearly outline your proficiency in Python and relevant libraries such as TensorFlow and PyTorch. Provide examples of how you've used these tools in past projects to solve complex problems.
Highlight Your Research Contributions: If you have publications or patents, make sure to mention them. This demonstrates your ability to contribute to the field and adds credibility to your application.
How to prepare for a job interview at BAE Systems (New)
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and statistical signal processing in detail. Highlight specific projects where you've applied these skills, especially in relation to sequential data and decision-making processes.
✨Demonstrate Python Proficiency
Since the role requires excellent Python programming skills, be ready to talk about your experience with relevant libraries like TensorFlow, PyTorch, and scikit-learn. Consider bringing examples of code or projects that showcase your abilities.
✨Prepare for Collaborative Scenarios
Given the emphasis on teamwork and collaboration, think of examples where you've successfully worked in multidisciplinary teams. Be ready to discuss how you handle technical challenges and customer-facing tasks.
✨Highlight Leadership Experience
If you have leadership experience in research project delivery, make sure to mention it. Discuss how you've mentored junior staff or led projects, as this will demonstrate your capability to take on a senior role effectively.
