Research Scientist - Knowledge & Semantics

TN United Kingdom; England; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Research Scientist to lead the Knowledge and Semantics team. This role involves collaborating on cutting-edge data science projects for defence and security, leveraging advanced techniques in NLP and graph ML. Ideal candidates will have a PhD and a proven track record in securing funding for R&D in the Defence sector. Join a dynamic team that values diversity and fosters a collaborative environment, while enjoying the flexibility of hybrid working arrangements. This is a unique opportunity to make impactful contributions in a rapidly evolving field.

Qualifications

• PhD with 4+ years' post-doctoral experience in Defence or National Security.
• Experience leading R&D teams with at least 5 developers.

Responsibilities

• Propose and lead research projects, delivering technical results.
• Mentor junior staff and communicate with stakeholders.

Skills

Python

Natural Language Processing (NLP)

Graph Machine Learning (Graph ML)

Text Mining

Knowledge Graphs

Machine Learning Libraries (TensorFlow, PyTorch)

Communication Skills

Education

PhD in a relevant field

Tools

TensorFlow

PyTorch

Job description

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Research Scientist - Knowledge & Semantics, 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, enabling governments, armed forces, and businesses to unlock digital advantages in demanding environments.

We are seeking a team lead for our Knowledge and Semantics team within Defence Innovation and Technology. Our Data and Decision Support Capability includes teams working in reinforcement learning, NLP, knowledge graphs, LLM applications, computer vision, AI for RF and EW, sonar, and acoustics.

You will collaborate with multidisciplinary teams on data science projects for defence, security, and commercial clients, as well as internal AI initiatives. There are opportunities to maintain academic links and develop research areas of interest.

Ideal candidates are adaptable, enthusiastic, and motivated, with experience leading research teams in NLP, LLM, text-mining, knowledge graphs, or graph ML. A track record of successful proposals and funding in the Defence sector is essential. Proficiency in Python and ML libraries is required, along with strong communication skills and a solid academic background.

Responsibilities include proposing and leading research, delivering technical projects, developing prototypes, managing tasks to high standards, presenting results, communicating with stakeholders, and mentoring junior staff.

Knowledge, Skills, and Experience:

• PhD with at least 4 years' post-doctoral experience, preferably in Defence or National Security.
• Experience leading R&D teams with at least 5 developers.
• Proven success in securing and delivering funding for Defence R&D.
• Research or industry experience in Predictive Graph ML, Causal ML, Neuro-Symbolic AI, NLP, LLMs, graph databases, or related fields.
• Experience with ML frameworks like TensorFlow or PyTorch.
• Ability to work securely in a controlled environment.

Security clearance is required; candidates must have the right to work in the UK and be eligible for SC clearance.

We support hybrid working, offering flexibility to balance work and personal life.

Diversity and inclusion are core to our culture, fostering a collaborative environment with varied perspectives.

Division overview: Capabilities

Our Capabilities team leads in cyber defence, engineering, consulting, and project management, delivering solutions that keep us at the forefront of digital transformation in defence and beyond.