Principal MLOps/GenAI Infrastructure Engineer
Principal MLOps/GenAI Infrastructure Engineer
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Job Description
Job Details
Job Title: Principal MLOps/GenAI Infrastructure Engineer
Salary: 76700 - 87600 (The expected salary range for this role reflects internal benchmarking and external market insights.)
Band: D
Location: London / Salford / Glasgow / Newcastle / Cardiff (Candidates will be considered for either location. This is a hybrid role and the successful candidate will balance office working with home working)
Were happy to discuss flexible working. Please indicate your preference under the flexible working question in the application. Theres no obligation to raise this at the application stage but if you wish to do so youre welcome to. Flexible working will be part of the discussion at offer stage.
Purpose Of The Role
Step into the world of the BBC one of the UKs most iconic and beloved brands where every working day is as unique as it is rewarding. Every tick of the clock our content reaches millions of people globally which is made possible by our top-notch Software Engineering team. Theyve been instrumental in pioneering innovative products and unique features that have firmly positioned us at the forefront of our industry. We dont merely adapt to an ever-changing world - we set the pace.
With this role youll be at the heart of an exciting journey crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBCs future empowering teams across the organisation to explore innovate and redefine the landscape of media. Our team is building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build collaborate on manage and maintain their machine learning platforms at scale.
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 Principal 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.
Your Key Responsibilities And Impact
- Lead the design development and evolution of robust tooling and platforms to support scalable Data Science MLOps and LLMOps workflows across the organisation.
- Drive strategy and execution for deploying serving and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker Bedrock and related services.
- 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 Prometheus Grafana) to ensure infrastructure and model health.
- Champion software engineering excellence through Test-Driven Development (TDD) rigorous test automation and continuous quality assurance practices.
- Support architectural decisions for scalable and maintainable systems collaborating with engineering and product stakeholders to align with business and technical goals.
- Partner with architects product leaders and stakeholders to shape the long-term technical vision and system architecture
- Apply and advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles.
- 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.
Your Skills And Experience
- Extensive experience in DevOps/MLOps roles with demonstrated impact in building scaling and securing ML/AI infrastructure in cloud-native environments.
- Strong experience with AWS services such as SageMaker Bedrock S3 EC2 Lambda IAM VPC ECS/EKS with a strong command of cloud solution architecture.
- Advanced proficiency in Infrastructure-as-Code practices using AWS CDK CloudFormation or Terraform in production environments.
- Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow SageMaker Pipelines or equivalent frameworks.
- Extensive experience building and operating containerised applications using Docker and Kubernetes including production-grade orchestration and monitoring.
- Deep experience with CI/CD best practices with hands-on expertise in GitHub Actions Jenkins and GitOps workflows.
- Strong knowledge of advanced DevOps concepts including progressive delivery strategies (blue/green canary) resilience engineering and performance optimisation.
- Deep understanding of cloud security governance and compliance with the ability to define and implement scalable security frameworks.
- Proven ability to drive cross-functional technical initiatives influence without authority and deliver results through collaboration and alignment.
- In-dept understanding of the ML lifecycle with practical experience deploying and managing LLMs and generative AI models in production.
Preferred Qualifications
- Bachelors or Masters degree in Computer Science Engineering or related technical field.
- Industry-recognised certifications such as AWS Certified DevOps Engineer AWS Machine Learning Specialty or AWS Solutions Architect Professional.
- Strong written and verbal communication skills with experience influencing technical direction across multiple teams or business units.
- Active contributor to open-source MLOps GenAI or DevOps projects and communities.
- Experience mentoring others leading by example and contributing to a culture of technical excellence.
Required Experience:
Staff IC
Employment Type
Full-Time
