Senior Research Scientist: Data Science and Machine Learning AIP

BAE Systems Applied Intelligence; Chelmsford; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading defense technology company in Chelmsford is seeking a Senior Research Scientist to lead AI/ML research projects. You will work on novel inference algorithms and develop prototypes while collaborating with academic partners. The ideal candidate has a PhD and extensive experience in AI/ML, Python programming, and relevant tools like TensorFlow and PyTorch. This role offers a hybrid working arrangement with opportunities for significant research contribution and project leadership.

Qualifications

• PhD or equivalent industry experience in a relevant discipline.
• Several years of expertise in AI/ML and statistical signal processing.
• Experience in Python software development for proof of concept.

Responsibilities

• Lead technical delivery of projects, mentoring junior researchers.
• Develop prototypes and proof of concept demonstrators.
• Present results to technical and non-technical audiences.

Skills

Machine Learning

Statistical Signal Processing

Python Programming

Education

PhD or equivalent industry experience

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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

Location: Great Baddow - Hybrid working 2 days onsite per week

Grade: GG11

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 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
• 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.