Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design innovative computational STEM problems for exciting scientific workflows.
- Company: A tech-driven project company in the UK with a focus on real-world applications.
- Benefits: Earn up to $55 per hour, flexible hours, and work on impactful projects.
- Why this job: Join a cutting-edge team and contribute to groundbreaking GenAI and MLOps initiatives.
- Qualifications: 5+ years of machine learning experience and proficiency in Python and data science tools.
- Other info: Part-time role with opportunities for professional growth in a dynamic environment.
The predicted salary is between 110000 - 110000 £ per year.
A technology-driven project company in the UK is seeking an experienced professional to design original computational STEM problems for scientific workflows.
Candidates should have 5+ years of hands-on machine learning experience and be proficient in Python programming along with other data science tools.
This project-based opportunity compensates up to $55 per hour, aiming for contributors to spend around 10-20 hours per week during active phases.
Senior ML Engineer for Real-World GenAI & MLOps Projects in Manchester employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer for Real-World GenAI & MLOps Projects in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML and data science community. Attend meetups or webinars, and don’t be shy about sharing your expertise. You never know who might have a lead on that perfect project!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects. Include links to GitHub repos or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Tailor your approach! When reaching out to companies, make sure to highlight your experience with real-world GenAI and MLOps. Use specific examples that align with their needs to show you’re the right fit for their projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that gig!
We think you need these skills to ace Senior ML Engineer for Real-World GenAI & MLOps Projects in Manchester
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of hands-on machine learning experience in your application. We want to see how you've tackled real-world problems and what tools you've used, especially Python and other data science tools.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to the job description. Mention specific projects or experiences that relate to designing computational STEM problems and MLOps.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your skills and experiences stand out!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us, so we can review it promptly!
How to prepare for a job interview at Mindrift
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your hands-on experience with various algorithms and how you've applied them in real-world projects. This is your chance to showcase your expertise!
✨Python Proficiency is Key
Since Python is a must-have skill for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Showcase Your Project Experience
Highlight specific projects where you've designed computational STEM problems or worked on MLOps. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make your contributions clear and impactful.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.