Machine Learning DevOps Engineer at

Job description is on a mission to make supply chains of the future more resilient, efficient and responsive through value-driven machine learning technology.

We are looking to hire exceptional engineers and scientists to join our team and be part of this challenge. is a world-class, cross-disciplinary team of scientists and engineers in Cambridge, UK, the global centre of AI/ML excellence. As a member of, you will be contributing to our applied science work and developing algorithms for products delivering real world impact.

Your responsibilities

  • Design the date pipelines and ML engineering infrastructure

  • Develop and deploy scalable tools and services to handle ML training and inference

  • Contribute to customer projects and co-develop ML decision making service

  • Investigate and evaluate new technologies to improve reliability, scalability and maintainability of ML systems

  • Work closely with other scientists and engineers in an agile team

  • Continuously develop your own AI/ML and engineering skills


Essential skills and experience

  • Strong software engineering skills

  • Experience in end-to-end ML system development

  • Experience in ML system maintenance with open source tools

  • Experience in cloud computing environments with containers and Kubernetes

  • Familiarity with workflow orchestration frameworks (KubeFlow, Airflow, etc.)

Desired qualifications, skills and experience

  • Experience working in an agile team environment

  • Experience in ML models such as deep learning and/or Gaussian process

  • Strong experience with Python and Tensorflow

Equal employment opportunity is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


1. A competitive compensation package and Equity in a business

2. Career growth opportunities on a personal and professional level

3. Be part of a very talented, collaborative team that strives to find innovative answers

4. Remote working while still valuing personal relationships is key to us - we provide you with the best equipment (Apple Macbook Pro) to     work from home as well as great office spaces in London. -  (Flexible Working Hours)

5. A friendly work environment where you are expected to challenge and be challenged every single day

6. Work for a company that has a mission to build diverse and inclusive role models for the future

7. 25 days paid holidays and  Permanent contract