Senior Machine Learning Engineer

At BT, we're transforming how data, machine learning, and AI drive our business and customer experiences. As a Senior Machine Learning Engineer, you'll play a pivotal role in industrialising ML and AI across BT, collaborating with diverse teams to deliver scalable, secure, and high-impact solutions. You'll architect and automate robust ML/AI pipelines-designing real-time APIs and batch systems that scale, solving operational challenges like zero-downtime model updates, drift monitoring, incident response, and automated retraining, while ensuring systems are secure, cost-efficient, compliant, and smoothly transitioned into support., Lead, mentor, and develop you engineering team, fostering a culture of learning and collaboration.

BT Group was the world's first telco and our heritage in the sector is unrivalled. As home to several of the UK's most recognised and cherished brands - BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business.

Over the next two years, we will complete the UK's largest and most successful digital infrastructure project - connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other.

While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK's best telco, reimagining the customer experience and relationship with one of this country's biggest infrastructure companies.

Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.

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• Leading inclusively and Safely
  
• I inspire and build trust through self-awareness, honesty and integrity.
  
• Owning outcomes
  
• I take the right decisions that benefit the broader organization.
  
• Looking out:
  
• Delivering for the customer
  
• I execute brilliantly on clear priorities that add value to our customers and the wider business.
  
• Commercially savvy
  
• I demonstrate strong commercial focus, bringing an external perspective to decision-making.
  
• Looking to the future:
  
• Growth mindset
  
• I experiment and identify opportunities for growth for both myself and the organization.
  
• Building for the future
  
• I build diverse future-ready teams where all individuals can be at their best.
  

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• Lead, mentor, and develop your engineering team, fostering a culture of learning and collaboration.
  
• Architect and build on BT's MLOps stacks for fast, safe, and scalable ML/GenAI delivery with clear FinOps guardrails.
  
• Design and implement production-grade ML/AI infrastructure, championing reusable patterns and best practices with Data Scientists, support, and engineering teams.
  
• Embed FinOps, security, and data privacy into every stage of the ML/AI lifecycle.
  
• Work closely with data scientists, engineers, and stakeholders to accelerate research-to-production using robust engineering practices and AI coding tools.
  
• Define support strategies for long-term model health, including SLOs, drift monitoring, and feedback loops.
  
• Lead deployment of LLM and GenAI services on platforms like Amazon Bedrock and Google Vertex AI.
  
• Design and translate infrastructure for GenAI applications: vector databases, embeddings, retrieval/RAG, model gateways, GPU management, observability, and cost monitoring.
  
• Promote experiment tracking and model management tools (e.g., Weights & Biases).
  
• Ensure strong software engineering practices: code review, testing, documentation, and version control.
  

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• Bachelor's degree, MSc, or equivalent in Computer Science, Engineering, Mathematics, or related field.
  
• Professional certifications in AWS, GCP, or Azure (Architect, Engineering, or ML) are highly desirable.
  
• Solid experience in ML/AI engineering, cloud engineering, or MLOps.
  
• Deep expertise in at least one major cloud platform (AWS, GCP, or Azure); knowledge of Vertex AI or equivalent required.
  
• Proven experience building, debugging, and deploying ML pipelines for large-scale, high-throughput, low-latency applications.
  
• Production-level fluency managing components in Python, Docker, and deploying ML/AI services (e.g., FastAPI). Supporting skills in SQL and advanced use of Terraform, Pulumi, or AWS CDK.
  
• Advanced expertise in CI/CD pipelines (GitLab CI, GitHub Actions) and MLOps pipelining services (Kubeflow, TFX, Kedro, or MLflow).
  
• Practical experience deploying LLMs and other AI models, with understanding of sourcing, performance, quantization, batching, inference service management, metrics, and design trade-offs.
  
• Demonstrated experience managing FinOps, security, and data privacy in ML/AI systems.
  
• Experience leading, mentoring, and developing a positive engineering team culture.
  

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• Competitive salary
  
• 25 days annual leave (plus bank holidays)
  
• 10% on target bonus
  
• Life Assurance
  
• Pension scheme
  
• Direct share scheme
  
• Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc.
  
• 50% off EE mobile pay monthly or SIM only plans
  
• Exclusive colleague discounts on our latest and greatest BT broadband packages
  
• BT TV with TNT Sports and NOW Entertainment
  
• 50% discount for friends and family on EE SIM Only plans & airtime element off a Flex Pay plan