Machine Learning Engineer - Hybrid Work & Global Impact in London
Machine Learning Engineer - Hybrid Work & Global Impact

Machine Learning Engineer - Hybrid Work & Global Impact in London

London Full-Time 36000 - 60000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop ML data pipelines and models while ensuring best practices in deployment.
  • Company: Leading entertainment company in the UK with a focus on innovation.
  • Benefits: Professional growth, development training, and international exposure.
  • Why this job: Make a global impact while working in a diverse and dynamic environment.
  • Qualifications: Strong coding skills in Spark, SQL, and Python; experience in machine learning.
  • Other info: Hybrid work model with collaborative team culture.

The predicted salary is between 36000 - 60000 Β£ per year.

A leading entertainment company in the UK is seeking an experienced Machine Learning Engineer to support its Data Science team. You will develop ML data pipelines and models, ensuring deployment aligns with best practices. Collaboration across teams is essential, along with strong coding skills in Spark, SQL, and Python.

This position offers opportunities for professional growth and a diverse work environment with various benefits, including development training and international exposure.

Machine Learning Engineer - Hybrid Work & Global Impact in London employer: Grosvenor Casinos Limited

As a leading entertainment company in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that encourages collaboration and innovation. Our Machine Learning Engineers benefit from extensive professional development opportunities, including training and international exposure, all while enjoying a hybrid work model that promotes work-life balance and flexibility.
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Contact Detail:

Grosvenor Casinos Limited Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Machine Learning Engineer - Hybrid Work & Global Impact in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Spark, SQL, and Python. This will not only impress recruiters but also give you something tangible to discuss during interviews.

✨Tip Number 3

Prepare for technical interviews by brushing up on coding challenges and ML concepts. We recommend practicing with platforms that focus on data science problems to get you in the zone.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Machine Learning Engineer - Hybrid Work & Global Impact in London

Machine Learning
Data Pipeline Development
Model Deployment
Collaboration Skills
Coding Skills
Spark
SQL
Python
Best Practices in ML
Professional Growth
Development Training
International Exposure

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with ML data pipelines and coding skills in Spark, SQL, and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!

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 you can contribute to our Data Science team. Let us know what excites you about this opportunity!

Showcase Collaboration Skills: Since collaboration is key for us, mention any experiences where you’ve worked across teams or contributed to group projects. We love seeing how you can work well with others to achieve common goals!

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 this exciting role. Don’t miss out on the chance to join our diverse team!

How to prepare for a job interview at Grosvenor Casinos Limited

✨Know Your Tech Inside Out

Make sure you brush up on your coding skills in Spark, SQL, and Python. Be ready to discuss your previous projects and how you've implemented machine learning models. Practising coding challenges can also help you feel more confident during technical assessments.

✨Showcase Your Collaboration Skills

Since this role involves working across teams, be prepared to share examples of how you've successfully collaborated in the past. Think about specific situations where your teamwork made a difference, and be ready to discuss how you handle feedback and differing opinions.

✨Understand the Company’s Impact

Research the entertainment company and its global impact. Familiarise yourself with their projects and how machine learning plays a role in their success. This will not only show your interest but also help you align your answers with their goals during the interview.

✨Prepare Questions That Matter

Have a list of thoughtful questions ready to ask at the end of the interview. Inquire about the team dynamics, opportunities for professional growth, and how they measure success in the role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.

Machine Learning Engineer - Hybrid Work & Global Impact in London
Grosvenor Casinos Limited
Location: London
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