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Software Engineering
Permanent - Full Time
Salford, GB, M50 2QH
BBC PUBLIC SERVICE B'CAST
Job Closing Date: 13/11/2024
THE ROLE
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)
SDD24
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 For any general queries, please contact:
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 here.
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.
Senior Software Engineer
Software Engineering
Permanent - Full Time
Salford, GB, M50 2QH
BBC PUBLIC SERVICE B'CAST
Job Closing Date: 13/11/2024
THE ROLE
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)
SDD24
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 For any general queries, please contact:
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 here.
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.
Software Engineering
Permanent - Full Time
Salford, GB, M50 2QH
BBC PUBLIC SERVICE B'CAST
Job Closing Date: 13/11/2024
THE ROLE
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)
SDD24
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 For any general queries, please contact:
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 here.
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.
More information related to this job opportunity, from jobsincare:
Here are 21 questions you could be asked if you apply for this job:
1. Can you describe your experience with modern Python development practices? How do you ensure high-quality code?
2. What approach do you take when implementing Test-Driven Development (TDD) in your projects?
3. Discuss your familiarity with AWS services such as SageMaker or S3. Can you provide an example of how you've used these in a project?
4. Have you worked with Infrastructure-as-Code tools like CDK or CloudFormation? What challenges did you encounter, and how did you overcome them?
5. Explain how you have used Apache Airflow in previous projects to manage data pipelines.
6. Can you provide an example of a machine learning project you've been involved in? What role did you play, and what technologies did you use?
7. How would you approach optimising a data pipeline? What monitoring tools or techniques do you use?
8. Describe your experience with containerisation technologies like Docker and orchestration with Kubernetes. How have these tools improved your workflow?
9. What design patterns do you find most valuable in software development, and why? Please give an example of how you've applied one in a project.
10. In your view, what is the importance of mentoring junior engineers? Can you share an experience where you provided support or guidance to a less experienced colleague?
11. What strategies do you use to foster collaboration within cross-functional teams? Can you share a specific instance where you worked with teams outside of engineering?
12. The role emphasizes building an outstanding team culture. What qualities do you believe are essential for creating a positive engineering environment?
13. How do you stay updated with the latest trends and technologies in software engineering, particularly in data-driven domains?
14. Can you provide an example of a successful pair programming experience? What did you learn from that collaboration?
15. At the BBC, diversity is highly valued. Can you share your thoughts on how diverse teams contribute to better problem-solving and innovation?
16. Describe a technical challenge you faced in a past project and how you approached solving it.
17. How do you prioritise tasks when working on multiple projects or under tight deadlines? Can you give an example from your experience?
18. Have you ever been involved in a project that required you to pivot or change direction mid-way? What was the outcome?
19. What excites you most about the opportunity to work with the BBC, particularly in the Machine Learning Enablement Team?
20. Where do you see your career in the next few years, and how does this role align with your goals?
21. The BBC values its behaviours and ethics highly. Can you describe a situation in which you demonstrated integrity or inclusivity in your work?
1. Can you describe your experience with modern Python development practices? How do you ensure high-quality code?
2. What approach do you take when implementing Test-Driven Development (TDD) in your projects?
3. Discuss your familiarity with AWS services such as SageMaker or S3. Can you provide an example of how you've used these in a project?
4. Have you worked with Infrastructure-as-Code tools like CDK or CloudFormation? What challenges did you encounter, and how did you overcome them?
5. Explain how you have used Apache Airflow in previous projects to manage data pipelines.
6. Can you provide an example of a machine learning project you've been involved in? What role did you play, and what technologies did you use?
7. How would you approach optimising a data pipeline? What monitoring tools or techniques do you use?
8. Describe your experience with containerisation technologies like Docker and orchestration with Kubernetes. How have these tools improved your workflow?
9. What design patterns do you find most valuable in software development, and why? Please give an example of how you've applied one in a project.
10. In your view, what is the importance of mentoring junior engineers? Can you share an experience where you provided support or guidance to a less experienced colleague?
11. What strategies do you use to foster collaboration within cross-functional teams? Can you share a specific instance where you worked with teams outside of engineering?
12. The role emphasizes building an outstanding team culture. What qualities do you believe are essential for creating a positive engineering environment?
13. How do you stay updated with the latest trends and technologies in software engineering, particularly in data-driven domains?
14. Can you provide an example of a successful pair programming experience? What did you learn from that collaboration?
15. At the BBC, diversity is highly valued. Can you share your thoughts on how diverse teams contribute to better problem-solving and innovation?
16. Describe a technical challenge you faced in a past project and how you approached solving it.
17. How do you prioritise tasks when working on multiple projects or under tight deadlines? Can you give an example from your experience?
18. Have you ever been involved in a project that required you to pivot or change direction mid-way? What was the outcome?
19. What excites you most about the opportunity to work with the BBC, particularly in the Machine Learning Enablement Team?
20. Where do you see your career in the next few years, and how does this role align with your goals?
21. The BBC values its behaviours and ethics highly. Can you describe a situation in which you demonstrated integrity or inclusivity in your work?
Useful skills for a Senior Software Engineer:
Click to view
To work as a Senior Software Engineer in the UK, you should have a robust set of technical and soft skills. Here are some key skills and qualifications typically expected:
Technical Skills:
1. Programming Languages:
- Proficiency in one or more programming languages such as Java, C#, Python, JavaScript, or C++.
- Understanding of best practices, design patterns, and clean code principles.
2. Software Development Frameworks:
- Experience with relevant frameworks and libraries based on your tech stack (e.g., React, Angular for front-end; Spring, .NET for back-end).
3. Version Control Systems:
- Familiarity with Git and platforms like GitHub, GitLab, or Bitbucket.
4. Database Management:
- Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
- Understanding of data modeling and database design.
5. RESTful APIs and Microservices:
- Experience designing and implementing RESTful APIs.
- Understanding of microservices architecture would be beneficial.
6. DevOps and CI/CD:
- Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).
- Experience with continuous integration and continuous deployment processes.
7. Cloud Platforms:
- Knowledge of cloud service providers (e.g., AWS, Azure, Google Cloud) and their services.
8. Testing and Quality Assurance:
- Experience with automated testing frameworks and methodologies (e.g., Unit Testing, Integration Testing).
- Understanding of Test-Driven Development (TDD) and Behavior-Driven Development (BDD).
9. Security Best Practices:
- Awareness of basic security practices and principles for software development.
Soft Skills:
1. Problem-Solving:
- Strong analytical and problem-solving abilities to approach complex technical challenges.
2. Communication:
- Excellent verbal and written communication skills to collaborate effectively with team members and stakeholders.
3. Team Leadership:
- Capability to mentor and guide junior developers, and lead project teams.
4. Agile Methodologies:
- Familiarity with Agile software development processes (e.g., Scrum, Kanban).
5. Collaboration:
- Experience working in cross-functional teams and an understanding of the importance of collaboration in software development.
Additional Qualifications:
- Education: A degree in Computer Science, Software Engineering, or a related field is often preferred, but not always mandatory if you have the necessary experience and skills.
- Experience: Typically, a Senior Software Engineer should have several years of experience in software development, often around 5-10 years, including experience with full software development lifecycles.
Continuous Learning:
- Given the fast-paced nature of technology, a commitment to continuous learning and staying updated with industry trends and new technologies is essential.
