AI Engineer, Email CRM

AI Engineer, Email CRM

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

  • Tasks: Optimise AI for email marketing, creating hyper-personalised content for users.
  • Company: Join Future, a global leader in specialist media with a collaborative culture.
  • Benefits: Enjoy uncapped leave, profit sharing, and well-being support.
  • Why this job: Make a real impact with cutting-edge AI technology in a dynamic environment.
  • Qualifications: Experience in AI/ML engineering and strong Python skills required.
  • Other info: Remote role with excellent career growth opportunities and a focus on diversity.

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

The Technology & Engineering department at Future offers a collaborative, collegiate environment focused on delivering well-engineered and scalable solutions. We look to answer critical challenges posed both by our product and commercial teams and from within the department.

What you’ll do

Your mission is to bring intelligence to our email marketing by optimising and integrating Advisor, Future's proprietary AI recommendation engine. You will ensure that every email we send—whether a newsletter or a marketing trigger—contains hyper-personalised content tailored to the individual user's interests and behaviours. You will report into the Tech lead and work alongside our Full Stack Developers and Data Engineers to bridge the gap between our Single Customer View (SCV) data and the final email content, enabling "Next Best Action" decision-making at scale.

Experience that will put you ahead of the curve

  • AI/ML Engineering: Background in building and deploying machine learning models, specifically recommender systems (collaborative filtering, content-based filtering) or personalisation engines.
  • Python Proficiency: Expert-level Python skills for data manipulation (Pandas, NumPy) and model development (Scikit-learn, TensorFlow/PyTorch).
  • Data Engineering Awareness: Comfort working with large datasets and data pipelines, understanding how to query and feature-engineer from data warehouses (e.g., BigQuery).
  • API Development: Ability to wrap models in performant APIs (FastAPI/Flask) for real-time inference during email assembly.
  • MarTech Context: Understanding of marketing KPIs (Open Rate, CTR, Conversion) and how AI can directly impact them.
  • Cloud Experience: Familiarity with deploying ML services on cloud platforms (AWS/GCP/Azure).

What’s in it for you

The expected range for this role is £60,000 - £65,000. This is a UK, Remote-based role, plus more great perks, which include:

  • Uncapped leave, because we trust you to manage your workload and time.
  • When we hit our targets, enjoy a share of our profits with a bonus.
  • Refer a friend and get rewarded when they join Future.
  • Well-being support with access to our Colleague Assistant Programmes.
  • Opportunity to purchase shares in Future, with our Share Incentive Plan.

Who are we…

We’re Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces. We’ve got ambitious plans that further build on our growth momentum and unlock new opportunities – and we’re looking for driven people who want to be a part of it!

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That’s why we’re building a workplace where everyone feels valued, respected, and empowered to thrive. When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It’s not just about what you bring to the table — it’s about making sure the table has room for everyone. Because a diverse team isn’t just good for business. It’s the Future.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

This is a remote position.

AI Engineer, Email CRM employer: Future Publishing

At Future, we pride ourselves on being an exceptional employer, offering a collaborative and innovative work culture that empowers our employees to thrive. As an AI Engineer in our remote team, you'll enjoy uncapped leave, well-being support, and the opportunity to share in our success through profit-sharing bonuses and a Share Incentive Plan. With a strong focus on diversity and inclusion, we ensure that every voice is heard, making Future not just a workplace, but a community where you can grow and make a meaningful impact.
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Contact Detail:

Future Publishing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer, Email CRM

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at Future. A friendly chat can open doors and give you insights that might just land you an interview.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially any work with recommendation systems or email marketing. This will help us see your practical experience and creativity.

✨Tip Number 3

Prepare for the tech interview! Brush up on your Python skills and be ready to discuss how you've used data manipulation and machine learning in past projects. We love seeing candidates who can think on their feet!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team at Future.

We think you need these skills to ace AI Engineer, Email CRM

AI/ML Engineering
Recommender Systems
Python Proficiency
Data Manipulation (Pandas, NumPy)
Model Development (Scikit-learn, TensorFlow, PyTorch)
Data Engineering Awareness
Querying and Feature Engineering
API Development (FastAPI, Flask)
MarTech Understanding
Marketing KPIs (Open Rate, CTR, Conversion)
Cloud Experience (AWS, GCP, Azure)

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI/ML engineering and Python. We want to see how your skills align with our mission of optimising email marketing through intelligent solutions.

Showcase Your Projects: If you've worked on any relevant projects, especially those involving recommender systems or personalisation engines, be sure to mention them! We love seeing real-world applications of your skills that demonstrate your ability to bridge tech and marketing.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Future.

How to prepare for a job interview at Future Publishing

✨Know Your AI Inside Out

Make sure you brush up on your knowledge of AI and machine learning, especially around recommender systems. Be ready to discuss your experience with collaborative filtering and content-based filtering, as well as how you've applied these in real-world scenarios.

✨Show Off Your Python Skills

Since Python is key for this role, prepare to demonstrate your expertise. Bring examples of projects where you've used libraries like Pandas, NumPy, or Scikit-learn. You might even want to code a small problem during the interview to showcase your skills.

✨Understand the Marketing Metrics

Familiarise yourself with marketing KPIs such as Open Rate, CTR, and Conversion. Be prepared to discuss how AI can enhance these metrics in email marketing. Showing that you understand the business impact of your work will set you apart.

✨Get Comfortable with Data Engineering

Since you'll be working with large datasets, make sure you know how to query and feature-engineer from data warehouses. Brush up on your knowledge of data pipelines and cloud platforms like AWS or GCP, as this will be crucial for your role.

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