Qureos Mentor

The BBC is the world’s leading public service broadcaster, known for its impartiality and independence. It creates distinctive, world-class programmes and content that inform, educate, and entertain millions of people in the UK and around the globe.

Job Description .buttontext1967aeac1bf131b4 a{ border: 1px solid transparent; } .buttontext1967aeac1bf131b4 a: focus{ border: 1px dashed #757575 !important; outline: none !important; }
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 Job Requisition ID: 47556
 Job Closing Date: 08/07/2026
 Glasgow, GBR, G511DA
 | London, GBR, W1A 1AA
 | Salford, GBR, M50 2QH
 
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 Purpose Of The Role
 
Step into the world of the BBC, one of the UK's most iconic and trusted brands, where technology plays a critical role in delivering content to millions of people every day. Our Software Engineering teams build and operate innovative products and platforms that help keep the BBC at the forefront of the industry.
 
WHY JOIN THE TEAM
 
Core Data Platform is part of Data Platform, providing trusted, fast, and reliable access to audience and business data that enables a more data-informed and personalised BBC.
 We support personalised experiences across BBC products, including iPlayer and Sounds, while providing a platform used by 140+ weekly active users across our data community, including analysts, scientists, and engineers. This role offers the opportunity to work with data at scale and build highly scalable data platforms and ingestion pipelines.
 
YOUR KEY RESPONSIBILITIES AND IMPACT
 
Lead the optimisation, performance, and evolution of the organisation's data lake and data warehouse platforms, ensuring scalable, cost-effective data services while enabling future architectural improvements and modernisation initiatives.
 Support and enhance the platforms and services that underpin audience personalisation and data access across the organisation, enabling stakeholders to efficiently query, analyse, and consume data while maintaining the performance, reliability, and operational support of business-critical services.
 Partner with architects, product leaders, and stakeholders to shape the long-term technical vision, technical goals and system architecture, support architectural decisions for scalable and maintainable systems.
 Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance. Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Grafana) to ensure infrastructure and Warehouse health.
 Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance practices across team and wider department.
 Cultivate a high-performing engineering culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration, advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles.
 
YOUR SKILLS AND EXPERIENCE
 
Essential
 
Extensive experience in DevOps/DataOps roles with demonstrated impact in building, scaling, including progressive delivery strategies, resilience engineering, and performance optimisation. and securing Data warehouse such as Redshift infrastructure in cloud-native environments.
 Expertise with databases(Database: , DynamoDB, Redis, Aurora, Athena), and Strong experience with AWS services such as S3, EC2, SQS, Lambda, IAM, Managed Airflow, Athena etc, VPC, with a strong command of cloud solution architecture.
 Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation with CI/CD best practices with hands-on expertise in GitHub Actions, Jenkins, and GitOps workflows.
 Deep understanding of cloud security, governance, and compliance, with the ability to define and implement scalable security frameworks with a track record designing and developing software with scale, security and reliability in mind.
 Extensive experience in at least one of the programming languages such as Python.
 
If you can bring some of these skills and experiences, 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.
 
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 Disclaimer
 
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.
 
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment 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.
 
For any general queries, please contact: bbchr@bbc.co.uk
 
We are unable to accept applications via CV and only applications made online will be considered. Please click on the APPLY NOW button to proceed with your application.
 
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 Redeployment
 
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.

Principal Software Engineer

Job Description .buttontext1967aeac1bf131b4 a{ border: 1px solid transparent; } .buttontext1967aeac1bf131b4 a: focus{ border: 1px dashed #757575 !important; outline: none !important; }
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 Job Requisition ID: 47560
 Job Closing Date: 06/07/2026
 Cardiff, GBR, CF10 1FT
 | Glasgow, GBR, G511DA
 | Newcastle-upon-Tyne, GBR, NE991RN
 | Salford, GBR, M50 2QH
 
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 JOB DETAILS
 
JOB TITLE: Senior Software Engineer - Machine Learning Enablement
 JOB REF: 47560
 JOB BAND: D
 CONTRACT TYPE: Full-time, Permanent
 DEPARTMENT: Data Platforms
 LOCATION: Salford Dock House (Primary), Glasgow Pacific Quay, Newcastle, Cardiff Central Square, Birmingham Mailbox (1 day a week hybrid)
 PROPOSED SALARY RANGE: £60000 – £70000, depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
 CLOSING DATE: 23:59 on Monday 6th of July 2026
 
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.
 
Interview Process
 
The selection process will consist of two stages: 
Stage 1: 
<ul>
<li>A coding assessment designed to evaluate technical proficiency.</li>
</ul>
Final Stage: A comprehensive interview comprising: 
<ul>
<li>A technical presentation, and</li>
<li>A competency-based interview focused on values and behaviours.</li>
</ul>
PURPOSE OF THE ROLE
 
As a Senior Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across the organisation. Your work will enable scalable, high-quality machine learning workflows and help shape the BBC’s future through innovative technology solutions.
 
Why Join the Team
 
Join a forward-thinking engineering community at one of the world’s most respected media organisations. The Machine Learning Enablement Team sits at the forefront of technical innovation, building state-of-the-art systems that directly support the BBC’s global impact. You’ll contribute to a modern engineering culture rooted in collaboration, continuous learning, and craftsmanship—while developing tools used by millions of people worldwide. The BBC will support your growth with mentorship, learning opportunities, and exposure to cutting-edge technologies.
 
YOUR KEY RESPONSIBILITIES AND IMPACT: 
<ul>
<li>Design, build, and maintain tools, services, and infrastructure to support machine learning workflows.</li>
<li>Apply strong engineering practices, including TDD, CI/CD, and clean software design principles.</li>
<li>Mentor and support junior engineers, fostering a culture of continuous learning and excellence.</li>
<li>Collaborate through pair programming and cross-functional engagement to deliver efficient, maintainable solutions.</li>
<li>Contribute to architectural decisions, particularly involving data-driven technologies and system integrations.</li>
<li>Conduct code reviews and implement robust testing strategies to ensure quality, security, reliability, and scalability.</li>
<li>Build and maintain relationships with local engineering communities to support team growth and capability development.</li>
</ul>
YOUR SKILLS AND EXPERIENCE
 
ESSENTIAL: 
1. Strong experience with modern Python development, including TDD and CI/CD pipelines.
 2. Solid understanding of software engineering principles, design patterns, best practices including optimisation, monitoring, and security considerations.
 3. Experience building cloud-based services with AWS (e.g., SageMaker, S3, VPC, KMS).
 4. Experience with infrastructure-as-code tools such as AWS CDK or CloudFormation.
 5. Experience developing and maintaining data or ML-focused pipelines
 
DESIRED: 
1. Experience designing scalable architectures for data-driven products.
 2. Engagement with wider engineering communities or networks to support recruitment and knowledge sharing.
 3. Experience collaborating with cross-functional teams, particularly data scientists and product teams, to deliver end-to-end solutions.
 4. Experience with containerisation and orchestration technologies.
 5. Familiarity with statistical concepts and machine learning techniques or frameworks.
 
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.
 
.buttontext5e59931b164f1563 a{ border: 1px solid transparent; } .buttontext5e59931b164f1563 a: focus{ border: 1px dashed #24d7d8 !important; outline: none !important; }
 Disclaimer
 
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.
 
Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment 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.
 
For any general queries, please contact: bbchr@bbc.co.uk
 
We are unable to accept applications via CV and only applications made online will be considered. Please click on the APPLY NOW button to proceed with your application.
 
.buttontext1ad93fa97229140d a{ border: 1px solid transparent; } .buttontext1ad93fa97229140d a: focus{ border: 1px dashed #24d7d8 !important; outline: none !important; }
 Redeployment
 
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.

Snr Software Engineer - Machine Learning

Join BBC and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

BBC

About Company

Principal Software Engineer

Snr Software Engineer - Machine Learning