Machine Learning Operations Engineer

Datatech Analytics
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

MLOps Engineer

Senior Data Scientist

Data Engineer

Data Engineer

Data Engineer

This is an exciting time for a major UK organisation undergoing a significant transformation across its Pricing and Analytics function. The business is investing heavily in modernising its analytical capabilities, scaling its teams, upgrading its toolsets and expanding its technical infrastructure. As part of this growth, they are looking for a Machine Learning Operations Engineer to help shape the future of their production Python ecosystem. This role offers the chance to work at the heart of a business where data, pricing and technology directly impact customer outcomes. You will play a key part in developing the frameworks, tooling and APIs that support high quality, high accuracy and high frequency deployment of Python based rating and analytical models. The environment is collaborative, fast moving and focused on delivering real value.


Role

  • Developing and operationalising Python based rating engines as part of the ML Operations team
  • Building scalable tools, frameworks and APIs that improve deployment processes
  • Enhancing the speed, efficiency and control of rating changes across the organisation
  • Supporting analysts, data scientists and engineering teams with modern, reliable deployment routes

Qualifications

  • Strong experience building data or software products using Python and git
  • A continuous improvement mindset and desire to evolve processes
  • Ability to collaborate effectively with both technical and non-technical teams
  • Experience applying these skills in a fast paced commercial setting
  • Experience within financial services, insurance or other regulated industries is beneficial but not essential

This is an excellent opportunity for someone who enjoys ownership, wants to influence modern ML operations practices, and is motivated by solving complex problems in a real world environment.


If you are ready to take on a role that will shape and support next generation analytics and deployment capability, we want to hear from you.


Applicants must be eligible and authorised to work in the United Kingdom.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.