Senior Machine Learning Engineer

Requirements

• Significant experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python.
• Demonstrated ownership of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning.
• Proven ability to deploy and manage models using modern infrastructure tools such as Docker, Kubernetes, and CircleCI.
• Strong foundational knowledge of traditional ML and evaluation techniques, balanced with a bias for simplicity and measurable business impact.
• A collaborative mindset with experience mentoring peers and a drive to solve complex, real-world problems at scale.

Nice to Haves

• Experience with evaluation harnesses and frameworks specifically designed for Generative AI.
• Familiarity with observability, monitoring, and safety techniques for deployed GenAI systems.
• Experience working with strongly typed languages, such as Go.

What You'll Be Doing

• Own the full ML lifecycle: Lead the design, development, and productionisation of machine learning models used in customer support and high-stakes decision systems.
• Architect for reliability: Build robust monitoring, evaluation, and alerting frameworks to detect model underperformance, drift, or unexpected behaviour in real-time.
• Collaborate on product strategy: Partner closely with Product Managers to turn ambiguous customer problems into robust, scalable ML solutions.
• Drive technical excellence: Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability.
• Bridge science and engineering: Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems.

Perks and Benefits

• Solve meaningful problems at real scale: Work on a complex, always-on marketplace that impacts millions every day.
• See your impact, fast: Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
• Grow through challenge and ownership: Take on big, ambiguous problems and accelerate your career with strong support.
• A culture built for builders: High standards, collaboration, flexible working and continuous learning.
• Share in the success you help create: Competitive salary and equity options, so you’re rewarded for the impact you make.