Job Reference:SF19282
Band:D

Salary:£55,000 - £70,000 depending on relevant skills, knowledge and experience. 
Contract type:(Permanent role) 
Location:Office Base is Salford UK, This is a hybrid role and the successful candidate will balance office working with home working)

We’re happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage.

Excellent career progression– the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.
Unrivalled training and development opportunities – our in-house Academy hosts a wide range of internal and external courses and certification.

Benefits- We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. You can find out more about working at the BBC by selecting this link to our candidate pack.

If you need to discuss adjustments or access requirements for the interview process please contact the k. For any general queries, please contact: k.

Freelancers are eligible to apply for an internal role if they are on a Worker Contract and they have worked continuously for 6 months. If they have worked for less than 6 months continuously or have a break of 3 weeks or more between engagements, they must seek Divisional HR approval to apply for an internal role prior to submitting an application.

Job Introduction

It's a privilege to be part of the BBC, where our work in Software Engineering plays a crucial role in delivering our content to millions in the UK and globally. As a beacon in the media industry, we don't just adapt to change - we aim to be the trailblazers shaping the future.

The Machine Learning Enablement Team are building new capabilities that will unlock new horizons for the BBC Data Science teams. With this role you'll be at the heart of an exciting journey, crafting tools and functions that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge machine learning technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media.

You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. We are looking for a Senior Software Engineer to join our tech community to drive this transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers.

Key Responsibilities and Accountabilities

Designing, developing, and maintaining tools that support machine learning workflows. Take a structured and professional approach to engineering, ensuring high-quality development. Mentor junior engineers, promote a culture of learning, and stay up to date with new technologies, particularly in data-driven domains. Foster relationships with local engineering networks for a sustainable talent pipeline and team scalability. Contribute to high-level architecture and integrations, leveraging data-driven technologies. Actively participate in pair programming sessions, working closely with other engineers to write maintainable and efficient code Drive the ambition to build an outstanding engineering team and culture. Conduct code reviews, maintain coding standards, and guidelines. Ensure software quality by planning, executing and tracking tests Collaborate with cross-functional teams to define and implement requirements.

Knowledge, Skills, Training & Experience

Experience of modern Python development software engineering best practices, TDD, CI/CD. Solid understanding of software development principles, design patterns and best practices Experience of AWS services such as SageMaker, S3, VPC, KMS Experience of Infrastructure-as-Code tools such as CDK, CloudFormation Experience in designing, developing and maintaining pipelines using Apache Airflow Experience in feature engineering, data pre-processing, data pipelines Experience in optimisation, monitoring along with knowledge of security best practices  Experience of containerisation technologies (Docker) and orchestration (Kubernetes) Familiarity with statistical concepts, Machine Learning techniques and frameworks

About the BBC

The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons 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.

We don’t focus simply on what we do – we also care how we do it. Our values and the way we behave are important to us. Please make sure you’ve read about our values and behaviours .

Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential.

We want to attract the broadest range of talented people to be part of the BBC – whether that’s to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity.

We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise.