Machine Learning Engineer

• 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.

Senior Machine Learning Engineer

Machine Learning Engineer

Founding Product Designer

AI Specialist

Senior Machine Learning Researcher

Senior Applied AI Engineer