Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

MLOps Engineer - Manchester

Datatech Analytics
Manchester
2 days ago
Create job alert

Direct message the job poster from Datatech Analytics


Location: Manchester hybrid model - two days per week on site


Ref: J13040


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.


The 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

Experience:



  • 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.


Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.


Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk


#J-18808-Ljbffr

Related Jobs

View all jobs

MLOps Engineer

MLOps Engineer

MLOps Engineer — Scale Python ML Deployments

MLOps Engineer - Manchester

MLOps Engineer (ML, Speech, NLP & Multimodal Expertise)

MLOPs Engineer

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.