At a Glance
- Tasks: Lead innovative research in AI & ML, focusing on NLP and knowledge graphs.
- Company: Join BAE Systems Digital Intelligence, a leader in digital and cyber solutions across 10 countries.
- Benefits: Enjoy hybrid working, diverse teams, and opportunities for professional growth.
- Why this job: Make an impact in defence and security while collaborating with top experts and academic partners.
- Qualifications: PhD with 4+ years in R&D, experience leading teams, and strong ML programming skills required.
- Other info: Candidates must obtain Government SC clearance; remote work options available.
The predicted salary is between 43200 - 72000 Β£ per year.
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 Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you.
We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development.
Typical Responsibilities:
- Propose and lead novel research in given topic areas, often in partnership with leading UK Universities.
- Lead technical delivery of project teams.
- Prepare and deliver technical reports, technical proposals and supporting material.
- Develop prototypes and proof of concept demonstrators.
- Take ownership of tasks in projects and deliver to challenging standards.
- Effectively present results to both technical and non-technical audiences.
- Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams).
- Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team.
Knowledge, Skills and Experience:
- PhD qualified with at least 4 yearsβ experience post PhD, ideally working in the Defence or National Security sectors.
- You will have experience of leading R&D teams with a minimum of 5 developers.
- You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers.
- Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work):
- Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI.
- Natural Language Processing, including Information extraction, text-mining and entity linking.
- Experience with modern (e.g. transformer-based) NLP models is desirable but not essential.
- Application of LLMs to Defence problems.
- The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings.
- Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms.
- Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential.
- Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential.
Security Clearance: Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Digital Intelligence. Due to the nature of our work successful candidates for this role will be required to go through Government SC clearance prior to starting with us.
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds β the best and brightest minds β can work together to achieve excellence and realise individual and organisational potential.
Job City: Great Baddow
Professional Area: Data Analysis and Management
Contact Detail:
BAE Systems - Applied Intelligence Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Research Scientist - AI & ML
β¨Tip Number 1
Network with professionals in the AI and ML fields, especially those who have experience in defence or national security sectors. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends and opportunities.
β¨Tip Number 2
Showcase your leadership skills by discussing any previous experiences where you led a team or project. Highlight how you motivated your team and achieved successful outcomes, as this role requires strong team management capabilities.
β¨Tip Number 3
Familiarise yourself with the specific technologies and methodologies mentioned in the job description, such as NLP, graph machine learning, and LLM applications. Being able to discuss these topics confidently during interviews will demonstrate your expertise and enthusiasm for the role.
β¨Tip Number 4
Prepare to discuss your experience with securing funding for research projects. Be ready to share examples of successful proposals you've written and how they contributed to innovative R&D in the defence sector, as this is a key aspect of the position.
We think you need these skills to ace Research Scientist - AI & ML
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in AI, ML, and NLP. Emphasise any leadership roles you've held, especially in research settings, and include specific projects that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and BAE Systems Digital Intelligence. Discuss your vision for developing practical ML applications and how your background aligns with their needs, particularly in defence and national security.
Showcase Your Research Experience: Detail your experience in leading R&D teams and securing funding. Include examples of successful proposals and any publications or projects that demonstrate your expertise in graph machine learning and NLP.
Highlight Technical Skills: Clearly list your programming skills, particularly in Python, and mention any relevant ML frameworks you have experience with, such as TensorFlow or PyTorch. If applicable, include your familiarity with graph databases and query languages.
How to prepare for a job interview at BAE Systems - Applied Intelligence
β¨Showcase Your Technical Expertise
Be prepared to discuss your experience with Machine Learning frameworks like TensorFlow or PyTorch. Highlight specific projects where you've applied NLP, graph machine learning, or LLMs, and be ready to explain the technical challenges you faced and how you overcame them.
β¨Demonstrate Leadership Skills
Since the role involves leading a team, share examples of your leadership experience. Discuss how you've mentored junior staff, managed project teams, and successfully delivered R&D projects, especially in the Defence sector.
β¨Prepare for Collaborative Scenarios
BAE Systems values collaboration across multi-disciplinary teams. Be ready to discuss how you've worked with diverse groups, including academic partners and stakeholders, to achieve common goals. Highlight any successful partnerships you've fostered.
β¨Communicate Clearly and Effectively
You will need to present complex ideas to both technical and non-technical audiences. Practice explaining your research and findings in simple terms. Prepare to discuss how you tailor your communication style based on your audience.