Software Engineer, AI Engineer

Cardiff, G , CF10 1FT

| Glasgow, G , G511DA

| London, G , W1A 1AA

| Newcastle-upon-Tyne, G , NE991RN

| Salford, G , M50 2QH

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.

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.

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.

• 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

ESSENTIAL CRITERIA:

• Expertise designing, developing and supporting data focused applications using Python
• Expertise in modern development tools and practices (CI/CD, Dev Ops, 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 tensor flow
• Keen to learn new skills with an interest in learning about recommender systems

DESIRED BUT NOT

REQUIRED:

• Experience with AWS Sage Maker
• 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.

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.

Please note:

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 to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory.

The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.

At the BBC you can create and innovate in an inclusive environment while contributing to some of the world’s best…