AddressAbout 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 60+ 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 a hybrid working model which allows flexibility between working from home and enjoying our superb office facilities.
You will join our ML Engineering organisation, working alongside experienced engineers with backgrounds in ML operations and data intensive ML product development. You will interface closely with our Data Science research teams, enabling them to move their models from research to production.
You will be responsible for releasing production grade ETL processes to populate our Feature Store, and deploying models using batch, stream, and request-response paradigms. You will apply best practice for software development, ensuring we have a clean, well-tested and scalable code base. You will collaboratively monitor and support our products through their lifecycle, working alongside Data Scientists.
Requirements
- Demonstrable experience with RDS (PostgreSQL, MySQL) and data engineering workflows (batch processing, ETL or ELT).
- Keen interest in development, deployment, and support of Machine Learning models.
- Strong programming skills (Python or Java).
- Awareness of software development best practice.
- Cloud experience (ideally AWS-certification would be an advantage) or containerised infrastructure (Kubernetes / Docker)
- Excellent interpersonal skills.
- Ability to work as part of a cross-functional team in an agile environment.
- A problem-solving growth mindset, with the ability to pick up new concepts quickly.
- Passionate about your personal development and excited by opportunities to learn from peers.
- Desirable to have experience with key-value/NoSQL (DynamoDB, Redis, MongoDB), message queues (Kafka) and streaming processes.
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 “” 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.
