We are – the Rank Group.
From the fun of Mecca Bingo to the experience of Grosvenor Casinos, from in-person to online, from local to global, players love the experiences our famous brands deliver.
We employ almost 8,000 people across our brands, in roles ranging from Casino Croupiers, Poker Dealers, Chefs and Bingo Club Callers, through to specialists in Marketing, Property, Finance, Law and Human Resources and many more.
This is such an exciting sector to be part of, bringing entertainment to millions in a culture of opportunity and growth.
Look at our careers site to find out more: https://careers.rank.com/
Job Description
We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy.
We are looking for an experienced Machine Learning Engineer to support the delivery of ML products. You will work closely with the Data Science team, to understand the data and product requirements. You will also collaborate the Data & Ops team, to stay on top of key changes that may impact the ML frameworks and to own the release of ML products. We use Azure Databricks as our platform.
To be successful in the role, you will need to be experienced in cross-team collaboration to deliver data science projects, whilst promoting best practices. You will be proactive in identifying and communicating data-related issues and will act as the interface between Data Science and Data & Ops teams.
The Data Science department is currently a smaller team, with an ambition to grow, with a mix of a Data Scientists and ML engineers. Therefore, it is an excellent opportunity to grow, contribute and challenge yourself.
Core Responsibilities
- Development and maintenance of the ML data pipeline, with the proper quality controls and contingency plans in place
- Model deployment & serving, ensuring that solutions align with internal best practices and have a high degree of automation
- Cost control, having both the data production and solution deployment as efficiently as possible
- Cross-team collaboration, communicating all key elements that impact the well-functioning of the ML solutions
Qualifications
- Postgraduate degree in a relevant discipline (e.g. IT, STEM, Maths, Computer Science) or equivalent experience
- Good data modelling, software engineering knowledge, and strong knowledge of ML packages and frameworks
- Skilful in writing well-engineered code using Spark, and advanced SQL and Python coding skills
- Experienced in working with Azure Databricks
- Proven experience working with Data Scientists to deliver best in-class solutions for model deployment and monitoring
- Great technical and communication skills, with a high degree of proactivity
- Passion for learning and keeping abreast of new technologies and data models
Join us to unlock benefits and opportunities that will boost your career journey in a vibrant, inclusive and fulfilling work environment – so you can #BeYourself
Wellbeing@Rank is important... From hybrid working and colleague support networks to menopause support and weekly PepTalks, we’re here for you.
We’ll also invest in your growth by providing development opportunities, leadership training and cutting-edge industry certifications so you have the tools and resources to help you work, win and grow with us.
Immerse yourself in new cultures and gain international exposure through our global business. Collaborate with colleagues from around the globe.
From pensions to bonus schemes, and private medical insurance to life insurance – we've got you covered.
- Our benefits vary by brand and/or location. Please have a chat with your local Talent Acquisition specialist to find out what’s in place in your location.
The Rank Group are committed to being an inclusive employer, ensuring that we better understand and meet the needs and requirements of our candidates and customers.
We aim to do this by facilitating fair and equal access to our services. If you require a reasonable adjustment to be made, please reach out to let us know ahead of your interview.
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