ML Ops Engineer - London

We are a dynamic UK-based technology company that is fundamentally changing the way international logistics operates. We’re searching for a Machine Learning Engineer who is excited by the prospect of working at the bleeding edge of Machine Learning with a focus on Natural Language Processing (NLP) in a rapidly growing scale-up. We've recently raised our Series A round from leading US investor Bessemer Venture Partners (LinkedIn, Twilio, Shopify), alongside Episode 1 (Zoopla, Betfair, Shazam) and supply chain-focused fund Dynamo Ventures (Sennder, Stord).

You'll lead the development of our ML Ops platform. This ultimately will help us remain at the bleeding edge of machine learning by spearheading the implementation of machine learning models in production across the technology stack. You will also be involved in contributing to and overseeing the build and deployment of machine learning models into a highly scalable, distributed system along with the rest of the team.

Day-to-day you will:

• Deploy, maintain, and setup governance of ML models in production
• Set up robust model and system evaluation frameworks
• Set up and integrate experiment tracking to help the ML team as they iterate
• Establish a mechanism for data and model version control
• Choose, develop and deploy other tools to advance our ML practices, e.g., automated data cleaning, model quantisation, etc.
• Implement and develop machine learning models in a scalable product architecture
• Establish a data management pipeline to dynamically update core algorithms

We specifically want someone who:

• Works with Python and a few common machine learning frameworks, including but not limited to Tensorflow, Keras and Pytorch
• Has experience with common MLOps tools like MLflow, Airflow, Kubernetes, DVC
• Has experience building and deploying machine learning applications at scale
• Has a very solid grasp of both software engineering and machine learning fundamentals
• Has a good understanding of MLOps practices
• It would also be good to have the following:
  • Grasp of the fundamentals of all major aspects of modern artificial intelligence - computer vision, natural language processing, reinforcement learning, etc.
  • Experience building APIs to connect ML services with external systems
  • 5+ years industry experience building and deploying machine learning applications

Apply because you want to...

• Have the opportunity to work in a global market and compete with best in class companies who are on the front line of Machine Learning and Engineering developments
• Work in a modern Product-led company where your contributions are valued and have real-world impact
• Get exposure to working with stakeholders on a global level across different industries
• Work in a tech, fast-paced and challenging environment that provides opportunities for professional and personal growth
• Work in a diverse and multicultural environment