Flexa
Mars UK • Slough, United Kingdom

Machine Learning Operations Engineer

1–2 days/week at home

Core hours 11–3

Dog friendly

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Job Description

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.

#LI-AS3

#LI-REMOTE

#LI-HYBRID

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
Sabbaticals
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
Bank holiday swaps

We asked employees of Mars UK how satisfied they were with flexible working, and this is what they told us

Location
94%
Employees are very happy with their working location freedom
Hours
91%
Employees are very happy with the flexibility in the hours they work
Benefits
84%
Employees are very happy with the benefits their company offers
Work-life balance
80%
Employees feel that they can switch off quite easily from work
Role modelling
81%
Employees feel that flexible working is part of the culture
Autonomy
90%
Employees feel they have complete autonomy over getting their work done

Additional employee ratings
(these do not contribute to the FlexScore®)

Diversity
75%
Employees feel that the diversity is good and there are continued efforts to improve it
Inclusion
78%
Employees feel that the culture supports equity and inclusivity well
Culture
86%
Employees feel like it is a really great environment to work in
Mission
84%
Employees feel very excited about and aligned with the company mission
Salary
70%
Employees feel that their salary is good and matches the value they bring
Working at Mars UK

Company employees

4,000 In the UK

Gender diversity (male:female)

57:43

Office locations

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

Hiring Countries

Brazil
France
Netherlands
United Kingdom
United States
Awards & Achievements

Flexa100 2024

1st – Large companies

Industry awards 2023

Consumer Goods

Flexa100 2023

3rd – Large companies

Industry awards 2022

Retail & Ecommerce