At a Glance
- Tasks: Develop and deploy ML systems to supercharge marketing campaigns.
- Company: Leading marketing tech company based in London with a vibrant culture.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Other info: Fast-paced environment with great potential for career advancement.
- Why this job: Join a dynamic team and revolutionise marketing with cutting-edge AI technology.
- Qualifications: Experience in ML systems, Python skills, and familiarity with marketing data sources.
The predicted salary is between 60000 - 80000 £ per year.
A marketing technology company in London seeks an experienced Machine Learning Engineer to develop and deploy ML systems specific to marketing workflows. You will collaborate with product and engineering teams to ship reliable AI tools that significantly enhance marketing operations.
The ideal candidate has strong experience in building ML systems and a solid understanding of Python and various data sources, such as Google Ads and analytics. A background in marketing is a plus, along with experience in working in fast-paced environments.
Marketing AI Engineer: Build Production ML for Campaigns employer: usepassionfruit.com
Join a dynamic marketing technology company in London that values innovation and collaboration, offering a vibrant work culture where your contributions directly impact marketing operations. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in a fast-paced environment. Enjoy unique advantages such as flexible working arrangements and a commitment to fostering creativity and diversity within the team.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing AI Engineer: Build Production ML for Campaigns
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing tech scene, especially those who work with AI and ML. Attend meetups or webinars to connect with potential employers and show them your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your ML projects, especially those related to marketing. This will give you an edge and demonstrate your ability to build production ML systems that can enhance marketing operations.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding various data sources like Google Ads. Be ready to discuss how you've used these tools in past projects and how they can be applied to marketing workflows.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience in fast-paced environments and your understanding of marketing.
We think you need these skills to ace Marketing AI Engineer: Build Production ML for Campaigns
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning systems and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your familiarity with marketing workflows and any relevant tools like Google Ads. This helps us see how you fit into our team!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your experience and what you bring to the table.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at usepassionfruit.com
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss your past projects. Be prepared to explain how you've built and deployed ML systems, especially in marketing contexts. This will show that you understand the role and can hit the ground running.
✨Show Off Your Python Skills
Since Python is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to a specific project. Practising coding challenges related to ML can really help you shine.
✨Understand Marketing Workflows
Familiarise yourself with marketing workflows and tools like Google Ads and analytics. Being able to talk about how ML can enhance these processes will set you apart. Think of examples where you've used data to drive marketing decisions.
✨Be Ready for Fast-Paced Questions
Given the fast-paced environment, expect questions that assess your adaptability and problem-solving skills. Prepare examples from your experience where you had to think on your feet or pivot quickly in a project. This will demonstrate your ability to thrive under pressure.
