At a Glance
- Tasks: Develop and deploy machine learning systems to enhance marketing workflows.
- Company: Dynamic marketing tech company based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting environment with potential for career advancement.
- Why this job: Join a fast-paced team and make a real impact on marketing operations with AI.
- Qualifications: Strong ML experience, 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 in London employer: Job Search Place Limited
Join a dynamic marketing technology company in London that champions innovation and collaboration. With a strong focus on employee growth, we offer extensive training opportunities and a vibrant work culture that encourages creativity and teamwork. Our commitment to developing cutting-edge AI tools not only enhances marketing operations but also provides you with the chance to make a meaningful impact in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing AI Engineer: Build Production ML for Campaigns in London
✨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
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to marketing. This will give you an edge and demonstrate your ability to build reliable AI tools that 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 tackled challenges in fast-paced environments and how you can contribute to their team.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and making an impact in the marketing tech world.
We think you need these skills to ace Marketing AI Engineer: Build Production ML for Campaigns in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML systems and Python. We want to see how your skills align with the marketing workflows we focus on, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in marketing (if you have it) complements your technical skills. We love a good story!
Showcase Your Projects:If you've worked on any ML projects, especially those related to marketing, make sure to include them. We want to see what you've built and how it can enhance our operations. Links to GitHub or project demos are a bonus!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Job Search Place Limited
✨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 coding challenges. Practising common algorithms and data manipulation tasks in Python can really help you shine.
✨Understand Marketing Workflows
Familiarise yourself with marketing workflows and tools like Google Ads and analytics. Being able to discuss how ML can enhance these processes will set you apart. Think of specific 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.
