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- Tasks: Build cutting-edge AI and design ML models for optimising revenue flow.
- Company: Leading Neuro-Contextual Advertising Company in the UK with a supportive culture.
- Benefits: 100% remote or hybrid work options, plus excellent growth opportunities.
- Why this job: Join a tech team making a real impact in the advertising industry.
- Qualifications: 2–4 years of experience in production ML systems and strong Python skills.
- Other info: Foster a trust-based culture with ample career advancement potential.
The predicted salary is between 45000 - 54000 £ per year.
A leading Neuro-Contextual Advertising Company in the UK is seeking a Machine Learning Engineer to contribute to their tech team. This role involves building cutting-edge AI to optimise revenue flow and designing ML models for internal campaigns.
Ideal candidates will have 2–4 years of experience in production ML systems and strong skills in Python.
The position offers a choice of 100% remote or hybrid working options, fostering a supportive and trust-based culture with ample growth opportunities.
ML Engineer - Real-Time Ad Tech & MLOps (Remote) employer: Seedtag
Contact Detail:
Seedtag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer - Real-Time Ad Tech & MLOps (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and any relevant work you've done. We want to see your coding chops in action, so don’t be shy about sharing your GitHub or personal website.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. We recommend practising common ML interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace ML Engineer - Real-Time Ad Tech & MLOps (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production ML systems and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our tech team. We love seeing genuine enthusiasm and a bit of personality.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Seedtag
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to real-time systems and MLOps. Be ready to discuss your previous projects and how you've applied Python in production ML environments.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you can demonstrate your ability to optimise revenue flow through AI. Practise explaining your thought process clearly and concisely.
✨Understand the Company’s Vision
Research the company’s approach to neuro-contextual advertising. Knowing their products and how they leverage AI will help you align your answers with their goals and show that you're genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, growth opportunities, and the tech stack they use. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.