{bc}
smartrecruiters

Principal Machine Learning Engineer

ASOS
London, GBR
Full-time
Senior
Hybrid
Discovered 1 weeks ago
PyTorchTensorFlowPythonJava

Full Job Posting

Experience

  • We're interested in candidates with significant experience across a number of the following areas. We recognise that expertise can be developed through different career paths and experiences.
  • Extensive experience designing, building and operating large-scale machine learning systems in production environments.
  • Experience owning and influencing technical architecture across complex engineering ecosystems.
  • A product-focused mindset with a passion for applying machine learning and AI to customer and business challenges.
  • Extensive experience across the machine learning lifecycle, including data analysis, feature engineering, model development, evaluation, deployment, monitoring and continual improvement.
  • Experience building scalable, observable and highly reliable machine learning services using cloud-based technologies, distributed infrastructure and large datasets.
  • Technical expertise
  • Deep expertise in two or more of the following areas: ranking and relevance, recommendation systems, deep learning, large language models, information retrieval, natural language processing or content understanding.
  • Advanced hands-on experience with frameworks such as PyTorch, TensorFlow or similar machine learning frameworks.
  • Strong programming skills in Python and/or other languages such as Java or C++.
  • Deep understanding of MLOps practices, including deployment, observability, monitoring and lifecycle management at scale.
  • Experience building production AI systems using approaches such as retrieval-augmented generation (RAG), agent-based architectures, retrieval systems, model evaluation frameworks and ML-driven scoring approaches.
  • Significant experience using AI-assisted engineering tools and coding agents, such as Claude Code, Codex, Cursor or similar technologies, throughout the software development lifecycle.
  • Leadership capabilities
  • Ability to establish and communicate a compelling technical vision and influence multiple teams without direct management responsibility.
  • Demonstrated experience setting architectural direction, driving engineering strategy and encouraging adoption of technical standards across teams.
  • Experience mentoring senior engineers and supporting wider engineering development.
  • Strong communication and stakeholder management skills, including engagement with senior technical and business leaders.

BeneFITS’

  • Employee discount (hello ASOS discount!)
  • Employee sample sales
  • 25 days paid annual leave + an extra celebration day for a special moment
  • Discretionary bonus scheme
  • Private medical care scheme
  • Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
  • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
  • We're ASOS, the online retailer for fashion lovers all around the world.
  • We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions.
  • Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at ASOS