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- Tasks: Quantify success and support a high-traffic experimentation platform.
- Company: Global leader in travel software with a focus on innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for growth.
- Why this job: Make a real impact by transforming research into scalable solutions.
- Qualifications: Degree in CS, Math, or Engineering; expertise in Python, SQL, and PySpark.
- Other info: Collaborative team environment with exciting challenges.
The predicted salary is between 36000 - 60000 £ per year.
A global leader in travel software is seeking an ML Engineer to join their Measurement Analytics team. In this impactful role, you will quantify success at scale and support a high-traffic experimentation platform.
The ideal candidate has a degree in CS, Math, or Engineering, and is an expert in Python, SQL, and PySpark, with production experience and a DevOps mindset. Collaborating across teams, you will transform research prototypes into scalable solutions.
This position does not offer sponsorship.
Growth ML Engineer — Marketing Analytics & Experiments in London employer: The Change Partners - Global talent specialists for a connected world
Contact Detail:
The Change Partners - Global talent specialists for a connected world Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth ML Engineer — Marketing Analytics & Experiments in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and PySpark. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Practice common ML engineering questions and be ready to discuss how you can contribute to their experimentation platform.
✨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 Growth ML Engineer — Marketing Analytics & Experiments in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about marketing analytics and how your background in CS, Math, or Engineering makes you a perfect fit for our team.
Show Off Your Collaboration Skills: Since this role involves working across teams, share examples of how you've successfully collaborated in the past. We love seeing candidates who can work well with others to transform ideas into scalable 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 this exciting opportunity in our Measurement Analytics team!
How to prepare for a job interview at The Change Partners - Global talent specialists for a connected world
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and PySpark skills. Be ready to discuss your past projects and how you've used these technologies in a production environment. We recommend preparing specific examples that showcase your problem-solving abilities and technical expertise.
✨Understand the Experimentation Platform
Since you'll be supporting a high-traffic experimentation platform, it’s crucial to understand how A/B testing and other experimentation methods work. Familiarise yourself with metrics that quantify success and be prepared to discuss how you would approach measuring the impact of experiments.
✨Show Off Your Collaboration Skills
This role involves working across teams, so highlight your experience in collaborative projects. We suggest preparing anecdotes that demonstrate your ability to communicate effectively with non-technical stakeholders and how you’ve successfully transformed research prototypes into scalable solutions.
✨Adopt a DevOps Mindset
Having a DevOps mindset is key for this position. Be ready to talk about your experience with CI/CD pipelines, automation, and how you ensure smooth deployments. We recommend discussing any tools or practices you’ve implemented that enhance collaboration between development and operations.