Combient Mix is looking for Machine Learning Engineers to join our team and help build a data-driven ecosystem in the Combient sphere. Our mission is to accelerate the creation of value from Data and AI for over 30+ companies in our family.

We work with some of the largest companies in Sweden and Finland that span a wide range of industries, you will be able to apply your experience, skills, and creativity on a broad scale. You will have the opportunity to help industrial companies leverage machine learning to create business value.

As an example of the sort of work we do, one of Mix’s clients manufactures heavy construction machinery. Each machine has its own software stack and sensors that collect vast quantities of data that Mix data engineers have marshaled into a data lake that they have built up from scratch.

As a machine learning engineer we would expect you to work with our data scientists to construct machine learning models based on the contents of the data lake and make those algorithms production-ready - to better facilitate data-led decision making.


A Few Words From Matthew Wooller, Chief Data Engineer at Combient Mix

“There are two essential elements that I look for in a colleague, an eagerness to learn and a desire to solve problems. If you recognise those qualities in yourself, then I want to work with you, together at Combient Mix.

I have been working with data for over 25 years now, and whilst a lot of the problems haven’t changed, there is always something new to puzzle over, solve and fix. That is what keeps this job fascinating - new challenges and new twists on old solutions. With Combient Mix we also get the opportunity to learn about the business models and ways of working across numerous domains, everything from telecoms to automotive, mining to chocolate.

Come and join us - I look forward to fixing things with you and making the data driven workplace of our clients a more useful, productive and innovative space!”


What you’ll do

  • Designing, building, evaluating, shipping, and refining machine learning models and pipelines that are used in production.
  • Take a prototype and build a scalable and production-ready form that can be used on a daily basis.
  • Help drive optimization, testing, and tools to improve the quality of the models.
  • Use the full range of your skills in a cross functional team, giving you the opportunity to fully explore and apply your broad knowledge and experience of machine learning engineering.
  • Collaborate with other engineers, Data Scientists, and stakeholders, taking learning and leadership opportunities that will arise every single day.
  • Work closely with Mix data scientists to develop solutions for delivering machine learning derived results and answers to the client in the in the most optimal fashion possible

Who you are

  • You have a strong background in machine learning or Data engineering, with experience and expertise in scaling machine learning algorithms.
  • You have experience and background in working with data pipelines and dealing with large amounts of data.
  • You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages.
  • You are comfortable with at least one of the main cloud platforms (GCP, Azure, AWS).
  • You care about high-quality and maintainable code and want to have diversity in the kind of problems you solve.
  • You like pair programming with your colleagues and enjoy fast-paced environments.
  • You like working in a cross-functional team of data scientists and engineers solving complex problems together.
  • You are passionate about making an impact and changing the way companies work.

Bonus if you have experience with:

  • Consultancy or similar customer-interfacing roles.
  • Experience with TensorFlow or similar frameworks.