At a Glance
- Tasks: Develop and maintain machine learning models and data pipelines for innovative projects.
- Company: Join The Rank Group, a leading gaming business with a vibrant culture.
- Benefits: Hybrid working, professional development, and comprehensive health benefits.
- Why this job: Make an impact in a growing team while working with cutting-edge technology.
- Qualifications: Postgraduate degree or equivalent experience in IT, STEM, or Computer Science.
- Other info: Collaborate globally and enjoy a supportive, inclusive work environment.
The predicted salary is between 30000 - 50000 £ per year.
The Rank Group is a Venues and Digital gaming business. We employ circa 8,000 people globally, with our UK office functions being located in Maidenhead, Sheffield, London, and Gibraltar. We are evolving as a business and are adding some exciting new brands and concepts to our venues and digital offering. By joining an office-based or operational function with us, you will be part of a high-performing and inclusive culture that supports our customer-facing teams.
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 with 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 while 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 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.
- 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. Wellbeing@Rank is important, from hybrid working and colleague support networks to menopause support and weekly PepTalks, we are here for you. We will also invest in your growth by providing development opportunities, leadership training, and cutting-edge industry certifications.
The Rank Group is 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 facilitate 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.
Machine Learning Engineer in London employer: The Rank Group
Contact Detail:
The Rank Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at The Rank Group on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a Machine Learning Engineer.
✨Tip Number 2
Prepare for the technical interview by brushing up on your coding skills, especially in Python and SQL. We recommend doing mock interviews with friends or using online platforms to get comfortable with common ML engineering questions.
✨Tip Number 3
Showcase your projects! If you've worked on any machine learning models or data pipelines, make sure to highlight these in your discussions. We love seeing practical applications of your skills, so be ready to talk about your contributions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at The Rank Group.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Azure Databricks, Spark, and any relevant projects that showcase your skills in data modelling and ML frameworks.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science and how you can contribute to our team. Mention specific experiences that align with our mission of building data-driven solutions.
Showcase Collaboration Skills: Since cross-team collaboration is key for this role, include examples of how you've successfully worked with Data Scientists or other teams in the past. This will show us you're a great fit for our inclusive culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at The Rank Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure Databricks, Spark, and Python. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Collaboration Skills
Since cross-team collaboration is key for this role, prepare examples of how you've successfully worked with Data Scientists or other teams in the past. Highlight your communication skills and how you’ve navigated challenges in team settings.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify and solve data-related issues. Think of specific instances where you proactively addressed a problem in a project and be ready to explain your thought process.
✨Demonstrate Your Passion for Learning
The Rank Group values continuous learning, so be prepared to discuss how you keep up with new technologies and trends in machine learning. Share any recent courses, certifications, or projects that showcase your commitment to professional growth.