Machine Learning Engineer - London or Europe (Remote)

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 high tech 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).

As a Machine Learning Engineer you will help lead our efforts to remain at the bleeding edge of machine learning by spearheading the implementation of machine learning models in production across the technology stack. You'll 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. You will also work with our customers and their teams to implement solutions that improve their results.

Day-to-day you will:

• Implement and develop machine learning models in a scalable product architecture
• Establish a data management pipeline to dynamically update core algorithms
• Bring machine learning systems into full production, working closely with members of the product and engineering teams
• Optimize existing implementations of machine learning models in production
• Optimize open source implementations of research code to production ready systems
• Communicate clearly, both with internal teams and customers

We specifically want someone who:

• 1+ years experience in building machine learning applications for production
• Able to write simple, production-ready Python code
• Solid understand of machine learning algorithms including NLP
• Familiarity with RESTful APIs (e.g. FastAPI)
• Familiarity with workflow orchestration tools (e.g. Airflow)
• Familiarity with SQL and NoSQL databases (e.g. PostgresSQL, MongoDB)
• Familiarity using a cloud computing provider (e.g. GCP, AWS, Azure)
• Record of open-source contributions and/or personal projects.

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 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

We encourage you to apply to this role even if you don't meet the full criteria outlined above.