Hackajob is collaborating with BBC to connect them with exceptional tech professionals for this role. Job Title: Senior Principal Software Engineer JOB DETAILS JOB BAND: E CONTRACT TYPE: Permanent, Full-time DEPARTMENT: Discoverability LOCATION: Office Base is Newcastle or Salford Dock House - Hybrid. This is a hybrid role and the successful candidate will balance office working with home working. PROPOSED SALARY RANGE: Up to £115,000 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. Job Introduction We want the BBC to be as renowned for the quality of its engineering as it is for the quality of its content. We aspire to be the best so that we can engineer outstanding digital products, at scale. Working here in an engineering role means being part of a world-class team and a chance to do the most meaningful work of your career Our Discoverability teams are building platform capabilities that make it easier for audiences to find personalised and contextually relevant content. Our goal is to create the first personalisation platform rooted in public service values. We’re looking for an experienced software engineering leader in Machine Learning to join us as a Senior Principal Software Engineer. You will be responsible for shaping, developing and delivering machine learning (ML) and artificial intelligence (AI) solutions. This will help create robust, scalable and innovative personalisation systems that power our digital services. Interview process Two stage interview process Technical task for shortlisted candidates - approx. one hour preparation time (week commencing 18th August *this may be subject to change”) Virtual interview - approx. one hour of technical and values-based questions interviews to begin 4th September *this may be subject to change”) Main Responsibilities Provide technical leadership and mentoring, set technical standards and define best practice. Ensure reliability, scalability and maintainability of our ML capabilities. Cross functional collaboration with product, architecture and data science Ensure that machine learning solutions are effectively integrated into products and deliver measurable, sustainable business value Identify and champion innovation within teams Active participant in Industry ML forums and communities Are you the right candidate? Excellent communication skills and experience with managing multi-disciplinary stakeholders. Extensive experience setting technical direction across multiple teams. Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python Proven ability to drive cross functional technical initiatives and deliver results through collaboration and alignment.