This job is with BBC, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
JOB DETAILS JOB BAND: C
CONTRACT TYPE: Permanent
DEPARTMENT: BBC Product Group, Recommendations
LOCATION: Newcastle / London / Salford / Glasgow / Cardiff - Hybrid, 1 day per week in the office
PROPOSED SALARY RANGE: £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 Join a team at the forefront of one of the most exciting, far reaching and technically complex fields in the BBC - Recommendations. You'll be joining a recommendation capability team whose job is to build machine learning powered recommender systems, that combined, serve millions of recommendations every hour. We help make the BBC's digital services feel immersive and personalised, from iPlayer to Sport.
WHY JOIN THE TEAM This role is deeply technical; we are driven by data and a culture of experimentation, and uniquely, our output directly reaches large portions of the BBC's digital audience. You'll be working in a cross-functional team alongside colleagues in data science - we offer a supportive collaborative environment that rewards curiosity and continuous learning.
YOUR KEY RESPONSIBILITIES AND IMPACT Deliver key components to complex recommender systems that provide recommendations across all the BBC's digital products
Work in a collaborative team environment following agile best practice
Contribute to an environment of learning and development
Be curious, ask good questions, explore new things
YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA:
Expertise designing, developing and supporting data focused applications using Python
Expertise in modern development tools and practices (CI/CD, DevOps, Pair Programming, TDD)
Experience working in AWS (or other cloud platforms) to develop applications and support their operation
Experience in, or an interest in developing expertise in AI/ML and related tooling, such as PyTorch, scikit-learn or tensorflow
Keen to learn new skills with an interest in learning about recommender systems
DESIRED BUT NOT REQUIRED:
Experience with AWS SageMaker
Experience with big data processing via Apache Spark
Experience working with other disciplines in cross functional teams
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.