Data Scientist – AI Engineer at BAE Systems
Warton, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

21 Sep, 25

Salary

47683.0

Posted On

09 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Engineers, Deep Learning

Industry

Information Technology/IT

Description

Job title: Data Scientist-AI Engineer
Location: Warton, We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.
Salary: £47683+ dependent on skills and experience

YOUR SKILLS AND EXPERIENCES:

  • Excellent working knowledge of Python and familiarity with key AI/ML libraries such as PyTorch, TensorFlow or Hugging Face Transformers
  • Experience training and fine-tuning machine learning models, ideally including large language models (LLMs) or other deep learning approaches
  • Comfortable working collaboratively with data scientists, engineers and stakeholders in an agile, team-oriented environment
  • Familiarity with Retrieval Augmented Generation (RAG) techniques or experience using vector databases such as Qdrant
  • Awareness of MLOps tools and practices, including versioning tools such as DVC
  • Understanding of ethical considerations in AI, including bias mitigation and responsible machine learning practices
  • Relevant Degree or Experience in this area
Responsibilities
  • Collaborate with others to create AI solutions that are impactful, scalable and thoughtfully developed—from early-stage ideas to real-world applications
  • Partner with product managers, engineers, analysts and subject matter experts to co-create solutions that reflect a deep understanding of user and business needs
  • Help ensure that AI systems are transparent, inclusive and aligned with ethical guidelines and governance frameworks, contributing to trust in AI technologies
  • Keep up with emerging trends—especially in generative AI—and explore how they can be thoughtfully applied to benefit the organisation and its users
  • Help foster an environment where diverse perspectives are valued, curiosity is encouraged and team members feel empowered to learn, experiment and grow together
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