Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, train, and deploy advanced machine learning models to enhance user experiences.
- Company: High-growth AI-driven tech platform with a focus on innovation.
- Benefits: Remote work, autonomy in shaping technical strategy, and opportunities for growth.
- Why this job: Join a dynamic team and make a real impact in the AI landscape.
- Qualifications: Experience in building production ML systems, strong Python skills, and MLOps knowledge.
- Other info: Collaborate with cross-functional teams in a rapidly evolving environment.
The predicted salary is between 48000 - 72000 £ per year.
A high-growth AI-driven tech platform is seeking a Senior Machine Learning Engineer to drive the development of sophisticated models that enhance user experiences. The role entails designing, training, and deploying scalable machine learning architectures while collaborating closely with cross-functional teams.
Candidates should have proven experience in building production ML systems in a cloud setting, strong proficiency in Python, and in-depth knowledge of MLOps principles. This is a remote position offering significant autonomy to shape technical strategy in a rapidly evolving ecosystem.
Senior ML Engineer — Remote, End-to-End AI employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Remote, End-to-End AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. Practice common ML interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of standing out in the application process.
We think you need these skills to ace Senior ML Engineer — Remote, End-to-End AI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with building production ML systems and your proficiency in Python. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with MLOps principles and how you've collaborated with cross-functional teams in the past. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and what you can bring to our team.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with building production ML systems, especially in cloud environments. Prepare examples of models you've developed and how they improved user experiences.
✨Showcase Your Python Skills
Since strong proficiency in Python is a must, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures in Python beforehand.
✨Understand MLOps Principles
Familiarise yourself with MLOps best practices. Be ready to discuss how you’ve implemented these principles in past projects, including model deployment and monitoring. This will show that you can not only build models but also maintain them effectively.
✨Collaborate Like a Pro
As this role involves working closely with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in previous roles.
