Senior Software Engineer – Machine Learning Enablement
JOB REF: 47560 • JOB BAND: D • CONTRACT TYPE: Full-time, Permanent • DEPARTMENT: Data Platforms • LOCATION: Salford Dock House (Primary), Glasgow Pacific Quay, Newcastle, Cardiff Central Square, Birmingham Mailbox – 1 day a week hybrid • Proposed Salary Range: £60,000 – £70,000, depending on relevant skills, knowledge and experience • Closing Date: 23:59 on Monday 6th of July 2026
Interview Process
Stage 1: Coding assessment to evaluate technical proficiency.
Stage 2: Comprehensive interview comprising a technical presentation and a competency-based interview focused on values and behaviours.
Purpose of the Role
As a Senior Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver tools, platforms, and capabilities that empower data scientists and engineering teams across the organisation. Your work will enable scalable, high-quality machine learning workflows and help shape the BBC’s future through innovative technology solutions.
Why Join the Team
Join a forward‑thinking engineering community at one of the world’s most respected media organisations. The Machine Learning Enablement Team sits at the forefront of technical innovation, building state‑of‑the‑art systems that directly support the BBC’s global impact. You’ll contribute to a modern engineering culture rooted in collaboration, continuous learning, and craftsmanship, while developing tools used by millions of people worldwide. The BBC will support your growth with mentorship, learning opportunities, and exposure to cutting‑edge technologies.
Your Key Responsibilities And Impact
- Design, build, and maintain tools, services, and infrastructure to support machine learning workflows.
- Apply strong engineering practices, including TDD, CI/CD, and clean software design principles.
- Mentor and support junior engineers, fostering a culture of continuous learning and excellence.
- Collaborate through pair programming and cross‑functional engagement to deliver efficient, maintainable solutions.
- Contribute to architectural decisions, particularly involving data‑driven technologies and system integrations.
- Conduct code reviews and implement robust testing strategies to ensure quality, security, reliability, and scalability.
- Build and maintain relationships with local engineering communities to support team growth and capability development.
Essential Skills and Experience
- Strong experience with modern Python development, including TDD and CI/CD pipelines.
- Solid understanding of software engineering principles, design patterns, best practices including optimisation, monitoring, and security considerations.
- Experience building cloud‑based services with AWS (e.g., SageMaker, S3, VPC, KMS).
- Experience with infrastructure‑as‑code tools such as AWS CDK or CloudFormation.
- Experience developing and maintaining data or ML‑focused pipelines.
Desired
- Experience designing scalable architectures for data‑driven products.
- Engagement with wider engineering communities or networks to support recruitment and knowledge sharing.
- Experience collaborating with cross‑functional teams, particularly data scientists and product teams, to deliver end‑to‑end solutions.
- Experience with containerisation and orchestration technologies.
- Familiarity with statistical concepts and machine learning techniques or frameworks.
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. Failure to disclose may result in the withdrawal of your offer.
This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.
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