Snr Software Engineer - Machine Learning

The BBC
Cardiff, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£60,000.0 - £70,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Code Review Continuous Integration Software Design Patterns Python (Programming Language) Machine Learning Pair Programming Cloud Services Software Engineering AWS Cdk Amazon Virtual Private Cloud (VPC)
+4 more
Cloudformation Infrastructure Automation Frameworks Data Analytics Machine Learning Operations

Job description

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., * 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.

Requirements

  • A coding assessment designed to evaluate technical proficiency.

Final Stage: A comprehensive interview comprising:

  • A technical presentation, and
  • A competency-based interview focused on values and behaviours., 1. Strong experience with modern Python development, including TDD and CI/CD pipelines. 2. Solid understanding of software engineering principles, design patterns, best practices including optimisation, monitoring, and security considerations. 3. Experience building cloud-based services with AWS (e.g., SageMaker, S3, VPC, KMS). 4. Experience with infrastructure-as-code tools such as AWS CDK or CloudFormation. 5. Experience developing and maintaining data or ML-focused pipelines

DESIRED:

  1. Experience designing scalable architectures for data-driven products.
  2. Engagement with wider engineering communities or networks to support recruitment and knowledge sharing.
  3. Experience collaborating with cross-functional teams, particularly data scientists and product teams, to deliver end-to-end solutions.
  4. Experience with containerisation and orchestration technologies.
  5. Familiarity with statistical concepts and machine learning techniques or frameworks.

If you can bring some of these skills and experience, along with transferable strengths, we’d love to hear from you and encourage you to apply.

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.

About the company

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.

Apply for this position

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