Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead MLOps initiatives and develop innovative machine learning solutions.
- Company: Global analytics organisation with a focus on collaboration and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 6+ years of experience in ML, cloud tech, and proficiency in Python.
- Other info: Onsite three days a week in a dynamic work environment.
The predicted salary is between 43200 - 72000 £ per year.
A global analytics organization is seeking a Senior Machine Learning Engineer in London to lead MLOps initiatives and contribute to collaborative model development. The ideal candidate will have over 6 years of experience and expertise in cloud technologies, including GCP, and proficiency in Python with ML libraries like TensorFlow and PyTorch.
You will be responsible for automating model processes and addressing business challenges through innovative machine learning solutions. This role is onsite three days a week.
Senior ML Engineer — Lead MLOps & Production AI (London) employer: Revoco
Contact Detail:
Revoco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Lead MLOps & Production AI (London)
✨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 get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, TensorFlow, and PyTorch. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your MLOps knowledge and be ready to discuss how you’ve tackled business challenges with machine learning. We’re talking real-world examples that highlight your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Engineer — Lead MLOps & Production AI (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MLOps and cloud technologies like GCP. We want to see how your skills in Python and ML libraries like TensorFlow and PyTorch align with the role.
Showcase Your Projects: Include specific examples of projects where you've automated model processes or tackled business challenges using machine learning. This helps us understand your hands-on experience and innovative approach.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about leading MLOps initiatives. Share your vision for how you can contribute to collaborative model development at StudySmarter.
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 Revoco
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud technologies, especially GCP. Be ready to discuss how you've used Python with ML libraries like TensorFlow and PyTorch in your previous projects. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your MLOps Experience
Prepare specific examples of your past MLOps initiatives. Talk about how you've automated model processes and the impact it had on your team or project. This will demonstrate your leadership skills and your ability to tackle business challenges through innovative solutions.
✨Collaborative Spirit is Key
Since this role involves collaborative model development, think of instances where you've worked closely with others. Highlight your teamwork skills and how you’ve contributed to a positive team dynamic. Companies love candidates who can work well with others!
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to machine learning and their future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Plus, it gives you a chance to engage with your interviewers!