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- Tasks: Build and deploy machine learning models while collaborating with data teams.
- Company: Join a vibrant, inclusive tech company focused on data-driven decision-making.
- Benefits: Enjoy hybrid working, professional development, and comprehensive health benefits.
- Why this job: Make a real impact in a growing team and advance your career in data science.
- Qualifications: Postgraduate degree or equivalent experience in IT, STEM, or Computer Science.
- Other info: Great opportunity for international exposure and personal growth.
The predicted salary is between 28800 - 48000 £ per year.
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 affect 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 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 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’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.
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.
Machine Learning Engineer in London employer: Grosvenor Casinos Limited
Contact Detail:
Grosvenor Casinos Limited 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 on LinkedIn or at industry events. A friendly chat can give you insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those technical interviews! Brush up on your ML frameworks, coding skills in Python and SQL, and be ready to discuss your past projects. We want to see how you think and solve problems.
✨Tip Number 3
Show off your passion for learning! Talk about any new technologies or data models you've been exploring. It’s all about demonstrating that you’re proactive and eager to grow with us.
✨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.
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 reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your experience with Azure Databricks, Spark, and any relevant projects you've worked on. We want to see how you can contribute to our data-driven culture!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a great fit for our team. Don’t forget to mention your collaborative spirit and proactive approach to problem-solving.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they demonstrate your ability to work cross-team and deliver impactful solutions.
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, you’ll get to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at Grosvenor Casinos Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Databricks, Spark, and the ML frameworks mentioned in the job description. Brush up on your advanced SQL and Python skills, as these will likely come up during technical discussions.
✨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 resolve data-related issues. Think of specific scenarios where you proactively addressed a problem and how you implemented quality controls in your ML projects.
✨Demonstrate Your Passion for Learning
The company values continuous learning, so be ready to discuss how you keep up with new technologies and data models. Share any recent courses, certifications, or projects that showcase your commitment to professional growth.
