At a Glance
- Tasks: Join a team to deploy machine learning models in live pricing systems using Python.
- Company: Dynamic company at the forefront of machine learning and analytics.
- Benefits: Up to £40,000 salary, hybrid working, and career growth opportunities.
- Other info: Collaborative environment with experienced engineers to support your growth.
- Why this job: Make a real impact on business performance with cutting-edge machine learning technology.
- Qualifications: Strong Python skills and a passion for machine learning systems.
The predicted salary is between 28800 - 48000 £ per year.
This is an exciting opportunity to build a career in production machine learning within a large scale pricing and analytics environment. You will join a growing Machine Learning Operations team at the heart of a major transformation programme. The focus is on modernising how pricing models are built, tested and deployed into live systems. This role is ideal if you enjoy Python, problem solving and want to understand how machine learning works in real business settings rather than just notebooks.
This is not a research focused role and it is not purely infrastructure. The impact happens in the middle, where models become reliable, scalable and ready for customers.
What you will be doing:
- Working on Python based rating and machine learning deployments used in live pricing systems
- Supporting testing and analysis to ensure changes are accurate, controlled and high quality
- Building and improving tools, frameworks and APIs that help teams deploy models with confidence
- Collaborating with engineers, analysts and stakeholders to turn ideas into working solutions
- Contributing to clear and well-structured technical documentation
- Developing an understanding of how machine learning impacts customer pricing and business performance
What you will bring:
- A genuine interest in machine learning systems and how models move into production
- Strong Python fundamentals and a desire to grow your engineering capability
- A degree in a mathematical or technical subject or equivalent practical experience
- Logical thinking and a structured approach to problem solving
- Curiosity, initiative and a willingness to learn
- Clear communication skills and comfort working as part of a collaborative team
You will work on real systems that matter, not isolated exercises. You will be supported by experienced engineers, exposed to modern tooling, and given the space to build confidence in production machine learning and ML Operations. This role is designed to set strong foundations for long term technical growth.
Right to work: You must be eligible and authorised to work in the United Kingdom.
Junior ML Operations Engineer (Python) in Manchester employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Junior ML Operations Engineer (Python) in Manchester
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We think you need these skills to ace Junior ML Operations Engineer (Python) in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Get Comfortable with Python and R
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