Future

AI Engineer, Email CRM

Future

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

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Salary

💰 £60,000 - £65,000 per year

About the role

  • 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.

Requirements

  • 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).
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML Engineeringmachine learning modelsrecommender systemsPythondata manipulationPandasNumPymodel developmentScikit-learnTensorFlow