Research Scientist - Knowledge & Semantics

BAE; Chelmsford; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading technology firm is seeking a Research Scientist Team Lead in Chelmsford to head the Knowledge and Semantics team. You will work on NLP, reinforcement learning, and machine learning applications, leading a team and collaborating with academic partners. Candidates should have a PhD and extensive experience in ML frameworks. This role supports flexible hybrid working in a diverse environment.

Benefits

Flexible hybrid working

Diverse and inclusive culture

Qualifications

• PhD with at least 4 years post-PhD experience.
• Experience leading R&D teams of 5+ developers.
• Proven funding acquisition and project delivery skills.

Responsibilities

• Lead research and propose innovative solutions in collaboration with universities.
• Manage project delivery and prepare technical reports.
• Develop prototypes and proof of concepts.

Skills

Natural Language Processing

Reinforcement Learning

Knowledge Graphs

Machine Learning

Python Programming

Education

PhD

Tools

TensorFlow

PyTorch

Job description

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Research Scientist - Knowledge & Semantics, Chelmsford

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.

Job Title: Research Scientist Team Lead

Requisition ID: 121571

Location: Great Baddow, Hybrid (2/3 days onsite)

Grade: GG11

We are seeking a team lead for our Knowledge and Semantics team, working on diverse topics like reinforcement learning, NLP, knowledge graphs, LLMs, computer vision, and more.

You will lead research teams, develop prototypes, and collaborate with academic and SME partners. The role requires experience in NLP, LLM applications, knowledge graphs, and machine learning, with strong programming skills in Python.

Responsibilities:

• Lead research and propose innovative solutions in collaboration with universities
• Manage project delivery and prepare technical reports
• Develop prototypes and proof of concepts
• Present results to technical and non-technical audiences

Requirements:

• PhD with at least 4 years post-PhD experience
• Experience leading R&D teams of 5+ developers
• Proven funding acquisition and project delivery skills
• Experience with ML frameworks like TensorFlow or PyTorch

Preferred experience includes predictive graph ML, causal ML, neuro-symbolic AI, NLP, LLMs, graph databases, and knowledge representation.

Desirable skills:

• Experience with graph ML packages and knowledge graph tools
• Familiarity with query languages like SQL or Cypher
• Knowledge of ontology design and semantic reasoning

Why join us?

Make a difference in a diverse, inclusive culture that values integrity and merit. We support flexible hybrid working and are committed to diversity and inclusion, welcoming applicants from all backgrounds.