AI Engineer - Email Personalization & Recommender (Remote UK)
AI Engineer - Email Personalization & Recommender (Remote UK)

AI Engineer - Email Personalization & Recommender (Remote UK)

Full-Time 60000 - 65000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Enhance email marketing using AI to personalise user content.
  • Company: Leading media company with a focus on innovation.
  • Benefits: Remote work, uncapped leave, performance bonuses, and competitive salary.
  • Why this job: Join a dynamic team and shape the future of personalised communication.
  • Qualifications: Strong Python skills and experience in machine learning required.
  • Other info: Flexible working environment with great growth potential.

The predicted salary is between 60000 - 65000 £ per year.

A leading media company is seeking an AI Engineer to enhance email marketing through the integration of their proprietary AI recommendation engine. The role involves optimizing user content based on AI models and working closely with cross-functional teams to enable personalized communication.

Candidates should possess strong Python skills and experience in machine learning.

The position offers remote flexibility along with generous perks like uncapped leave and performance bonuses.

AI Engineer - Email Personalization & Recommender (Remote UK) employer: Future

As a leading media company, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our remote UK position for an AI Engineer not only offers competitive salaries and generous perks like uncapped leave and performance bonuses but also provides ample opportunities for professional growth and development in the rapidly evolving field of AI. Join us to be part of a forward-thinking team dedicated to transforming email marketing through cutting-edge technology.
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Contact Detail:

Future Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer - Email Personalization & Recommender (Remote UK)

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working in AI and email marketing. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and machine learning models. 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 common AI and machine learning questions. We recommend practising with friends or using mock interview platforms to build your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged.

We think you need these skills to ace AI Engineer - Email Personalization & Recommender (Remote UK)

Python
Machine Learning
AI Recommendation Systems
Email Marketing
Personalisation Techniques
Cross-Functional Collaboration
Data Optimisation
Analytical Skills

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your Python skills and any machine learning experience in your application. We want to see how you can bring your expertise to the table, so don’t hold back!

Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with enhancing email marketing and personalisation, as that’s what we’re all about at StudySmarter.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and its applications shines through without unnecessary fluff.

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 from our team!

How to prepare for a job interview at Future

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI models and machine learning techniques. Be ready to discuss how you've applied Python in previous projects, especially in relation to email marketing or recommendation systems.

✨Showcase Your Collaboration Skills

Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated with others in past roles. Highlight any experiences where you’ve had to communicate complex technical concepts to non-technical team members.

✨Prepare for Technical Questions

Expect some technical questions during the interview. Practice coding challenges related to Python and machine learning. You might be asked to solve a problem on the spot, so being comfortable with coding under pressure is key.

✨Understand the Company’s Vision

Research the media company and understand their approach to email marketing and AI. Be prepared to discuss how your skills can help enhance their proprietary AI recommendation engine and contribute to their goals.

AI Engineer - Email Personalization & Recommender (Remote UK)
Future

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