1–2 days/week at home

Core hours 11–3

Dog friendly

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Job Description

What are we looking for?

We are looking for ML Engineers to set directions and goals with respect to deployment and maintenance of our ML solutions. An ideal candidate would bring the following qualifications:

  • Master’s degree in Computer Science or related quantitative field
  • Hands-on experience in one or several of the following areas: Machine Learning, Data Engineering, Data Mining, Artificial Intelligence
  • Experience in designing and developing Data Engineering pipelines across different paradigms such as batch, event driven and streaming using relevant tools
  • Experience with Microservice architecture, Models as a Service and RESTful APIs
  • Experience in developing production-level ML applications
  • Experience with DevOps/ML Ops principles
  • Comfortable with Agile Software Development Principles
  • Hands-on experience in cloud ecosystems such as Microsoft Azure, AWS, GCP
  • Hands-on experience with Python; Knowledge of Hadoop, Hive, Apache Spark is a plus

What would be your key responsibilities?

Working closely with our internal Data Scientists and Data Engineers, you’ll help designing sustainable and scalable Data Science driven solutions. This means you’ll also partner with business stakeholders to fully comprehend individual use cases. Moreover, we’re looking to you to set up appropriate monitoring systems for ML models running in production.

Your day-to-day activities will include, but not be limited to, the following:

  • Collaborate with Data Scientists and Data Engineers to design sustainable and scalable ML solutions either on a consulting basis or hands-on, depending on the use cases
  • Own the monitoring of ML systems running in production
  • Implementing the automation of retraining new data sets seen through in production and initiating automatics deployments
  • Continuously improving best-practices around deploying and productionizing ML models
  • Educating fellow Data Scientists, Data Engineers and Business Translators on the importance of the ML Engineering role
  • Advocate for production level coding and best practices such as pair programming, automated testing and IAC

If this sounds like you, we’d love to hear from you!

Job Segment: Data Science, Decision Science, Machine Learning, And Artificial Intelligence

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
Enhanced maternity leave – 26 weeks at 90% pay
Enhanced paternity leave – 26 weeks at 90% pay
24 days annual leave + bank holidays
“Pawternity” leave
Pregnancy loss leave

The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility

First we assess the flexibility options Mars UK provides and then we anonymously survey a statistically significant proportion of their employees to make sure Mars UK is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.

We ask the hard questions so you don’t have to.

Working at Mars UK

Company employees

4,000 In the UK

Gender diversity (male:female)


Office locations

London, Slough, Waltham, Castle Cary, Birstall, Plymouth

Hiring Countries

United Kingdom
Awards & Achievements
Most flexible Retail & Ecommerce companies

Most flexible Retail & Ecommerce companies

Industry awards 2022