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- 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 bonuses, and well-being support.
- Why this job: Make a real impact by integrating AI into email marketing strategies.
- Qualifications: Experience in AI/ML engineering, Python, and data engineering is essential.
- Other info: Remote role with excellent career growth 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.
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.
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.
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 in London employer: Future
Contact Detail:
Future Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer, Email CRM in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Future. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This is your chance to demonstrate your Python prowess and machine learning magic.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of marketing KPIs. Understanding how your work impacts Open Rates and CTR will impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Future family.
We think you need these skills to ace AI Engineer, Email CRM in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Engineer. Highlight your experience with machine learning models and Python, and don’t forget to mention any relevant projects that showcase your skills in personalisation engines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in email marketing and how your background aligns with our mission at Future. Keep it engaging and personal!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of your work with data manipulation, API development, and cloud platforms. This will help us understand how you can contribute to our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow our process!
How to prepare for a job interview at Future
✨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 proficiency 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 influence these metrics and share any relevant experiences where you've successfully impacted them in previous roles.
✨Get Comfortable with Data Engineering
Since you'll be working with large datasets, make sure you understand data pipelines and querying from data warehouses. Brush up on your knowledge of tools like BigQuery and be ready to talk about how you've handled data in past projects.
