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JOB DETAILS

JOB BAND: D CONTRACT TYPE: Permanent, Full-time DEPARTMENT: Data Platforms LOCATION: Salford Dock House, London Broadcasting House, Glasgow Pacific Quay, Newcastle, Cardiff Central Square, Birmingham Mailbox (1 day a week hybrid) PROPOSED SALARY RANGE: £59,000 - £69,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

Interviews will take place after 5th January 2026 BBC EXTEND

This role is advertised as part of our BBC Extend programme for disabled people. To apply for this role you should identify as deaf, disabled or neurodivergent and must meet either the definition of disability in the Equality Act (2010), or the definition of disability in the Disability Discrimination Act (1995) if applying in Northern Ireland. You're broadly defined as disabled under both acts if you have a physical or mental impairment that has a substantial and long-term negative or adverse effect on your ability to do normal daily activities. This definition includes both apparent and non-apparent conditions and impairments, and medical conditions such as Cancer, HIV or Multiple Sclerosis.

We are committed to making the process of applying for this role as accessible as possible. If you need to discuss adjustments or access requirements for the application process, or have any questions about our Extend programme, please contact extend@bbc.co.uk.

The BBC are fully committed to providing workplace adjustments to help eliminate barriers in the workface that disabled people face. To do this, we have our own dedicated BBC Access and Disability Service that provides assessments and support throughout employment with us. If you are successful in applying for this role and require workplace adjustments, we will work with you to get your adjustments in place.

If you'd like more information on BBC Extend, please visit the BBC Extend webpage. EX2324 PURPOSE OF THE ROLE

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.

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 & IMPACT

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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, helping foster a culture of learning and excellence. •

Participate in pair programming and collaborative development to deliver maintainable, efficient code. •

Contribute to architectural decisions and integrations, especially involving data-driven technologies. •

Engage with cross-functional teams to define requirements and deliver high-impact solutions. •

Conduct code reviews to uphold coding standards, quality, and security best practices. •

Plan and execute test strategies to ensure reliability and scalability of software. •

Build relationships with local engineering communities to support team growth and long-term capability. YOUR SKILLS AND EXPERIENCE

ESSENTIAL:

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. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. ]]>