Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop scalable systems and build data pipelines for marketing analytics.
- Company: Exciting travel tech company focused on innovation.
- Benefits: Competitive salary, great perks, and the chance to work remotely.
- Why this job: Join a dynamic team and make an impact in the travel industry with cutting-edge tech.
- Qualifications: Strong skills in Python, SQL, PySpark, and a technical degree or equivalent experience.
- Other info: Opportunity for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A travel technology company is looking for a Machine Learning Engineer II to enhance their marketing analytics. This role involves developing scalable systems, building data pipelines, and turning prototypes into production-ready solutions.
Candidates should have strong skills in Python, SQL, and PySpark, along with a technical degree or equivalent experience.
The position offers competitive benefits and the opportunity to work with cutting-edge technology in the travel industry.
ML Engineer II: Marketing Experimentation & Production in London employer: Traveltechessentialist
Contact Detail:
Traveltechessentialist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer II: Marketing Experimentation & Production in London
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and PySpark. Having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding challenges. Practising with mock interviews can help us feel more confident when it’s showtime.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace ML Engineer II: Marketing Experimentation & Production in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, SQL, and PySpark in your application. We want to see how you've used these skills in real-world projects, especially in marketing analytics or similar fields.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the ML Engineer II role. Mention any relevant projects or experiences that align with developing scalable systems and building data pipelines.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for this position and how you can contribute to our team.
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 don’t miss out on any important updates during the hiring process.
How to prepare for a job interview at Traveltechessentialist
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and PySpark skills. Be ready to discuss specific projects where you've used these technologies, and think about how you can apply them to enhance marketing analytics in the travel industry.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in developing scalable systems or building data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to turn prototypes into production-ready solutions.
✨Understand the Company’s Mission
Research the travel technology company and understand their goals and values. Be ready to explain how your skills and experiences align with their mission, especially in enhancing marketing analytics. This shows genuine interest and helps you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the technologies they use, and the challenges they face in marketing experimentation. This not only demonstrates your enthusiasm for the role but also gives you a clearer picture of what to expect if you join the team.
