Senior Research Scientist: Data Science and Machine Learning AIP
Senior Research Scientist: Data Science and Machine Learning AIP

Senior Research Scientist: Data Science and Machine Learning AIP

Chelmsford Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • 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(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.

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.
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.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Other

  • Industries

    IT Services and IT Consulting

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Senior Research Scientist: Data Science and Machine Learning AIP employer: BAE Systems Digital Intelligence

BAE Systems Digital Intelligence is an exceptional employer, offering a dynamic work environment in Great Baddow where innovation thrives. With a strong commitment to employee growth, you will have the opportunity to lead cutting-edge research in AI and machine learning while collaborating with diverse teams and academic partners. The inclusive culture values integrity and diversity, ensuring that every team member can contribute meaningfully and fulfil their potential.
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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

PhD or equivalent industry experience in a relevant discipline
Expertise in Machine Learning (ML) and statistical signal processing
Proficient programming skills in Python
Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn
Knowledge of AI/ML applications to sequential data and decision-making
Experience in software development for proof of concept
Ability to lead technical delivery of projects
Strong communication skills for presenting results to technical and non-technical audiences
Experience in mentoring junior researchers
Familiarity with domains such as RF communications, Electronic Warfare, radar signal processing, and autonomy
Ability to develop prototypes and proof of concept demonstrators
Strong analytical and problem-solving skills
Experience in patenting or publishing research findings
Ability to work effectively in multi-disciplinary teams

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.

Senior Research Scientist: Data Science and Machine Learning AIP
BAE Systems Digital Intelligence
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  • Senior Research Scientist: Data Science and Machine Learning AIP

    Chelmsford
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-07-15

  • B

    BAE Systems Digital Intelligence

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