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- Tasks: Own and improve Python-based ML and pricing deployments in a dynamic environment.
- Company: Join a leading recruitment agency specialising in analytics with a focus on innovation.
- Benefits: Competitive salary up to £66,000, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact by shaping how machine learning is operationalised at scale.
- Qualifications: Experience with production ML systems and strong Python engineering skills required.
- Other info: Enjoy flexibility in your work and collaborate with diverse teams.
The predicted salary is between 39600 - 66000 £ per year.
We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed and operated in a large scale pricing and analytics environment. This role focuses on production. You will work on Python based model and pricing deployments that run in live systems, designing the tooling and frameworks that allow teams to release changes safely, frequently and with confidence. It is not a research role and it is not purely platform engineering. The impact sits in the middle, where strong engineering judgement meets real world business outcomes.
What you will do
- Own and improve Python based ML and pricing deployments
- Build and maintain shared deployment tools and frameworks
- Enable controlled and repeatable model releases
- Work closely with engineers, analysts and stakeholders
- Influence technical direction within ML Operations
What we are looking for
- Experience working with production ML or data driven systems
- Strong Python engineering skills
- Comfort owning systems and collaborating across teams
- Clear communication and thoughtful problem solving
You will have real ownership, flexibility in how you work, and the opportunity to shape how machine learning is operationalised at scale.
Right to work
You must be eligible and authorised to work in the United Kingdom.
Senior ML Operations Engineer (Python) in Manchester employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Operations Engineer (Python) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to ML operations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML operations questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨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 hearing from passionate candidates who are eager to make an impact in ML operations.
We think you need these skills to ace Senior ML Operations Engineer (Python) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ML operations. 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 passionate about ML operations and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for clear communication and thoughtful problem-solving, so don’t hold back on sharing your experiences!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Datatech
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python-based ML deployments and any frameworks you've used. They’ll likely want to hear about specific projects where you’ve made an impact.
✨Understand the Business Impact
Since this role sits at the intersection of engineering and business outcomes, be prepared to talk about how your work has influenced real-world results. Think of examples where your technical decisions led to improved performance or efficiency in a production environment.
✨Collaboration is Key
This position requires working closely with various teams, so highlight your collaboration skills. Share examples of how you’ve successfully worked with engineers, analysts, and stakeholders to achieve common goals. Communication is crucial!
✨Prepare for Problem-Solving Questions
Expect to face some technical problem-solving questions during the interview. Practice explaining your thought process clearly and logically. They’ll want to see how you approach challenges and come up with effective solutions in a production setting.
