Senior Machine Learning Engineer

About the role
Kindred's ambition is to be the most insight driven gambling company and in the last few years we've invested heavily in our data and analytics capabilities. We are now at the next stage of our journey, building our capability for developing end-to-end machine learning data products, from research conducted by our Data Scientists through to production applications built by our Machine Learning Engineers.
Our Machine Learning Engineers align with and work closely with Data Scientists in cross-functional product teams and are jointly responsible for the development of high-quality data products. We are currently focusing on areas including personalisation and relevancy, and product risk management. Additionally, we are building the core toolset and capability required for our product teams to scale efficiently and iterate rapidly. This includes our Model as a Service deployment platform, developing a feature store for use in both research and production contexts, and… building the tooling we need to monitor and test our products. #LI-MM1 #LI-Hybrid #LI-MG2
About you
We think that to be successful in this role you will be able to demonstrate many of the following attributes:
• 3-5 years relevant commercial experience.
• Experience working alongside Data Scientists.
• A portfolio of deliveries of ML products.
• Experience deploying models as batch, streams, and as services.
• Excellent Java skills.
• Strong experience deploying containerised applications onto Kubernetes.
• Strong experience using Kafka (including Kafka Streams).
• Experience using Spark.
• Experience using Terraform.
• ML Operations (MLOps) tooling experience including AirFlow and MLFlow.
• Experience in AWS cloud computing.
• Passionate about your personal development.
• Excellent interpersonal skills: able to collaborate, explain complex topics and contribute to the success of cross-functional DS/MLE product teams.
• Ability to deal with and account for uncertainty, with the flexibility to learn by iteration. Proactive.
In addition, it would be an advantage if you also have:
• A knowledge of enterprise data concepts, including Data Mesh.
• Solid understanding of statistical modelling and machine learning methodologies.
• AWS certification.
• An interest in mentoring and coaching more junior team member
Company:Kindred
Qualifications:Language requirements:Specific requirements:Educational level:Level of experience (years):Senior (5+ years of experience)
Tagged as: Industry, Machine Learning, NLP, Spain

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