Job Details
Title: Senior Software Engineer - Machine Learning Enablement
Reference: 47560
Band: D
Contract: Full-time, Permanent
Department: Data Platforms
Locations: Salford Dock House (Primary), Glasgow Pacific Quay, Newcastle, Cardiff Central Square, Birmingham Mailbox (one day a week hybrid)
Proposed Salary Range: £60,000 - £70,000
Closing Date: 23:59 on Monday 6th of July 2026
Interview Process
Stage 1: Coding assessment to evaluate technical proficiency.
Final Stage: Comprehensive interview consisting of a technical presentation and a competency based interview focused on values and behaviours.
Purpose
As a Senior Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the 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.
Responsibilities
- 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 Skills and Experience
- 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.
Benefits
- Competitive salary package.
- Flexible 35 hour working week.
- 25 days annual leave with option to buy an extra 5 days.
- Defined pension scheme.
- Discounted dental, health care and gym.
- Excellent career and professional development opportunities.
- Support in your working life, including flexible working discussions at any point during the application, selection or offer.
- Values based organisation.
Legal and EEO Statements
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.
We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief.
If you were to be offered this role, the BBC will conduct employment screening checks which include reference checks, eligibility to work checks, and, if applicable, safeguarding and adverse media checks. Any offer made is conditional on these checks being satisfactory.