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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, 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 in your work and collaborate with diverse teams.
The predicted salary is between 39600 - 66000 £ 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.
Apply to learn more or message for a confidential conversation.
Senior ML Operations Engineer (Python) in Warrington 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 Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML Ops. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to ML deployments. 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 Ops scenarios. Think about how you’d handle real-world problems and be ready to discuss your thought process. We want to see your engineering judgement in action!
✨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 candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior ML Operations Engineer (Python) in Warrington
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 for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Datatech Analytics
✨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. Practising coding challenges can also help you demonstrate your strong engineering skills.
✨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 in previous positions. Think of specific examples where your contributions made a difference in production environments.
✨Showcase Your Collaboration Skills
This position requires working closely with engineers, analysts, and stakeholders. Be ready to share experiences where you successfully collaborated across teams. Highlight your communication style and how you approach problem-solving in a team setting.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to ML operations and how they envision the role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.
