Job Details

Job Title: Software Engineer - MLOps
Job Band: C
Contract Type: Permanent, Full-time
Department: Machine Learning Enablement Team
Location: Salford – Hybrid working with 1 day a week expected in office base location.
Salary: £45,000 - £55,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application – though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage.

Purpose Of The Role

Step into the world of the BBC, one of the UK's most iconic and beloved brands, where every working day is as unique as it is rewarding. Every tick of the clock, our content reaches millions of people globally, which is made possible by our top-notch Software Engineering team. They've been instrumental in pioneering innovative products and unique features that have firmly positioned us at the forefront of our industry. We don't merely adapt to an ever-changing world - we set the pace.
 

The Machine Learning Enablement Team provides capabilities, tools, and advice to ensure best practices are followed and enables effective use of machine learning technologies that helps teams across the business build, collaborate on, manage, and maintain their machine learning platforms.
 

We are looking for a software engineer to work within the team to build/maintain machine learning infrastructure.

Your Key Responsibilities And Impact

• Contribute to the design, development, and maintenance of tools supporting data science and MLOps workflows
• Implement software solutions in a structured and professional approach, adhering to industry best practices.
• Help monitor performance of new functionality and offer ideas on how it could be improved
• Work collaboratively with cross-functional teams to define and implement technical requirements.
• Contribute to building a strong engineering culture by fostering a positive and collaborative environment
• Ensure software quality by planning, executing and tracking tests
• Learn new technologies and apply your learning to projects where appropriate

Your Skills And Experience

You don’t need to be an expert in all these areas, only some of them. If you have a base understanding of the areas and their underlying principles, you will shine. So don’t feel that you can’t apply if you don’t have all these skills. After all, you’ll work with and be mentored by a friendly development team, and the BBC will provide many opportunities for learning as you progress.
 

We create and support reliable and scalable cloud-based services on Amazon Web Services, use GitHub for version control and practice pair programming and Test-Driven Development where possible.

• Hands-on experience with Python development and an understanding of software engineering best practices (e.g., TDD, clean code principles).
• Experience of AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift
• Experience of DevOps practices, including containerisation with Docker and CI/CD pipelines.
• Exposure to MLOps tools (e.g., MLFlow) and practices, with a willingness to learn more.
• Exposure to infrastructure-as-code tools (CDK, CloudFormation)
• Knowledge of feature engineering, data pre-processing, data pipelines
• Awareness of optimisation, monitoring, and security best practices in software development.
• Familiarity with statistical concepts, Machine Learning techniques and frameworks