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

Apply Now

MLOps Engineer - Permanent (London, Hybrid)

Space Executive
City of London
1 week ago
Applications closed

Related Jobs

View all jobs

MLOps Engineer

MLOps Engineer

MLOps Engineer

MLOps Engineer

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

MLOps Engineer (Madrid, Spain)

My client, a global fintech company disrupting the world of embedded finance, is seeking a MLOps Engineer to join their team.

This is paying a market leading salary + benefits. It is a hybrid role and you will need to be in their London office 3 days per week (Tuesday to Thursday).

Company overview

A global embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services. Their software platform and APIs enable our partners to offer flexible financing products, in their desired branding, to their merchant base.

Role overview

As an ML Ops Engineer, you'll be the architect of robust processes to streamline and maintain our machine learning models in a dynamic production environment. You'll bridge the gap between research and deployment, ensuring our platform continues to deliver transformative results for our development partners.

Requirements
  • ML in Practice: Proven experience building and maintaining operational ML systems.
  • Python Proficiency: Strong Python coding skills and familiarity with relevant ML/data engineering libraries.
  • DevOps Mindset: Understanding of CI/CD principles, containerisation (Docker, Kubernetes), and version control (Git).
  • Problem-Solving Approach: Ability to troubleshoot issues in complex ML pipelines and proactively address potential bottlenecks.


#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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.