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- Tasks: Develop and maintain ML data pipelines, ensuring quality and automation.
- Company: Join a leading data-driven organisation focused on marketing and customer insights.
- Benefits: Enjoy hybrid working, development opportunities, and global collaboration.
- Why this job: Be part of a growing team, challenge yourself, and make a real impact.
- Qualifications: Postgraduate degree or equivalent experience in IT, STEM, or related fields required.
- Other info: Inclusive employer committed to supporting diverse needs and career growth.
The predicted salary is between 28800 - 42000 £ per year.
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 MLOps 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
Additional Information
#LI-IZ1#LI-Hybrid
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
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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MLOps Engineer employer: Grosvenor Casinos Limited
Contact Detail:
Grosvenor Casinos Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer
✨Tip Number 1
Familiarise yourself with Azure Databricks, as it's the platform we use for our ML products. Consider taking an online course or working on personal projects that utilise this tool to demonstrate your hands-on experience.
✨Tip Number 2
Showcase your cross-team collaboration skills by preparing examples of past projects where you worked closely with data scientists or other teams. This will highlight your ability to communicate effectively and deliver successful outcomes.
✨Tip Number 3
Stay updated on the latest trends in machine learning and data science. Being knowledgeable about new technologies and frameworks can set you apart and show your passion for continuous learning.
✨Tip Number 4
Prepare to discuss how you ensure quality control in ML pipelines. Think of specific strategies you've implemented in the past to maintain high standards and efficiency in your work.
We think you need these skills to ace MLOps Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and qualifications required for the MLOps Engineer position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Technical Skills: Emphasise your technical skills in data modelling, software engineering, and familiarity with ML packages. Be specific about your experience with Azure Databricks, Spark, SQL, and Python, as these are crucial for the role.
Showcase Collaboration Experience: Since cross-team collaboration is key, provide examples of past projects where you worked closely with Data Scientists or other teams. Highlight how you communicated effectively and contributed to successful outcomes.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your CV but also expresses your passion for data science and MLOps. Mention your eagerness to learn and grow within the company, aligning with their culture of development and inclusivity.
How to prepare for a job interview at Grosvenor Casinos Limited
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the job description. Familiarise yourself with the core responsibilities, especially around ML data pipelines, model deployment, and cross-team collaboration. This will help you articulate how your skills align with their needs.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Databricks, Spark, SQL, and Python. Bring examples of past projects where you've successfully implemented these technologies, particularly in a collaborative environment with Data Scientists.
✨Demonstrate Proactivity and Problem-Solving
Highlight instances where you've identified data-related issues and taken the initiative to resolve them. Companies value candidates who can proactively communicate challenges and propose solutions, especially in a fast-paced data-driven environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data science culture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
