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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: Strong Python skills and experience with production ML or data-driven systems.
- Other info: Enjoy flexibility, ownership, and collaboration with talented teams.
The predicted salary is between 39600 - 92400 £ per year.
Salary: Up to £66,000 depending on experience
Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months)
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 Analytics
Contact Detail:
Datatech Analytics 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 refer you directly.
✨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 scenarios. Practice explaining your thought process clearly, as communication is key in this role. We want to see how you tackle real-world problems!
✨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 that extra step to engage with us directly.
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 value clear communication and thoughtful problem-solving, so let us know how you’ve made a difference in past projects.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Datatech Analytics
✨Know Your Python Inside Out
As a Senior ML Operations Engineer, you'll need to showcase your strong Python skills. Brush up on key libraries and frameworks relevant to machine learning deployments. Be ready to discuss your past experiences with Python in production environments.
✨Demonstrate Your Problem-Solving Skills
Prepare to tackle real-world scenarios during the interview. Think of examples where you've solved complex problems in ML operations or data-driven systems. This will show your ability to think critically and apply engineering judgement effectively.
✨Communicate Clearly and Confidently
Since collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to explain technical concepts in a way that non-technical stakeholders can understand. This will highlight your communication skills and ability to influence technical direction.
✨Show Ownership and Initiative
The role requires taking ownership of systems and processes. Share examples of how you've led projects or initiatives in the past. This will demonstrate your readiness to take charge and make impactful decisions in ML operations.
