Senior Machine Learning Engineer

Details

Work Location Type:
Hybrid
Office:
London
Type of Employment:
Full Time Permanent
Reference Number:
LCR0468

About Kindred

Kindred Group is a digital entertainment pioneer bringing together nine successful online gambling brands, forming one of the largest online gambling groups in the world. Our purpose is to transform gambling by being a trusted source of entertainment that contributes positively to society. Our goal is that 0% revenue is derived from harmful gambling.

Our global team of more than 2000 people represents 70+ nationalities. When you join Kindred, you'll be part of a collaborative, diverse and inclusive team that has your best interest at heart. We are a trusting company that knows the value of a healthy work-life balance. We offer a wide range of benefits, along with annual bonus, which is tied to both company and your individual performance.

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.

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

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

Click on the “Apply Now” button and complete the short web form. Please add your CV and covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon. Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, ages, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework. Kindred has an ESG rating of AAA by MCSI.