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Future (futureplc.com)

AI Engineer, Email CRM

Posted 6 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United Kingdom
Mid level
In-Office or Remote
Hiring Remotely in United Kingdom
Mid level
Optimize and integrate AI-powered recommendations into email marketing, ensuring personalized content based on user behavior. Collaborate with developers and data engineers.
The summary above was generated by AI

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 personalization 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

Internal job family level T6

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.

Find out more about Our Future, Our Responsibility on our website.

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

#LI-Remote

This is a remote position.

Top Skills

AWS
Azure
BigQuery
Fastapi
Flask
GCP
Numpy
Pandas
Python
PyTorch
Scikit-Learn
TensorFlow

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