Data Post It Notes Data Post It Notes

Machine Learning Engineer

Amsterdam, The Netherlands

Job Description

Job Title:
Machine Learning Engineer
Amsterdam, The Netherlands
Full-Time, Permanent
Data Science & Machine Learning
Data & Analytics

What's your new role about?

We are seeking a Machine Learning Engineer to join the team based in Amsterdam.

You will use your engineering skills to support our growing Applied Machine Learning team to prototype, build and deploy machine learning products that will directly impact the user experience. 
In this role you will work closely with architects, developers and fellow ML engineers to deliver machine learning products into the DAZN ecosystem. You’ll have the chance to design and develop innovative solutions that are able to scale with DAZN’s rapidly growing platform. As a member of the Applied Machine Learning team you will be exposed to every element of the pipeline, helping you become an end to end machine learning practitioner. 
Obviously, you’ll find cutting edge technology here too. AWS is our cloud service provider of choice and we use a range of services and resources such as Kinesis, Lambda and SageMaker to ingest and process data and train our models. The team primarily works in Python and we’re keen to keep on top of the latest developments in the area both from open source projects and academic research meaning you’ll constantly get opportunities to develop your expertise. 

As our new Machine Learning Engineer, you’ll have the opportunity to:

  • Design, deploy and maintain ML models and systems.
  • Deliver projects in an agile, scrum-based environment. 
  • Deliver high quality code. 

You'll be set up for success if you have:

  • 1-3yrs experience delivering machine learning solutions.
  • Working knowledge of the data science pipeline (data collection and cleaning, exploration, feature engineering, supervised & unsupervised learning, model assessment & model deployment).
  • Applied modelling techniques such as supervised, unsupervised and reinforcement learning - particularly with graph-based frameworks such as (pyTorch, Tensorflow) or distributed frameworks (pyspark, sparkML).
  • Experience with version control tools and workflows (Git etc.).
  • You need to have a solution-based & active mindset, with ability to translate business problems into technical problems that can solved using your machine learning toolkit.
  • We welcome applications from graduates (Bachelor or Master) of a STEM subject, or an equivalent background.

Even better if you have:

  • Experience with CI/CD tools such as Jenkins, GitHub actions etc.
  • Experience developing APIs for model endpoints
  • Understanding of cloud architecture, the services that are offered and how they can be used to facilitate ML systems (preferably AWS).
  • A strong interest in Sports, both as a fan and as an industry

Here's a little more about us…

At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So if you want to push boundaries and make an impact, DAZN is the place to be.

As part of our team you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.

If you're ambitious, inventive, passionate, brave and supportive, then you're the kind of person who's going to enjoy life at DAZN.

We are committed to fostering an inclusive environment, both inside and outside of our walls, that values equality and diversity and where everyone can contribute at the highest level and have their voices heard. For us, this means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations and gender identities. If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.

We look forward to hearing from you.