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

Apply Now

MLOps Engineer

iO Associates
London
10 months ago
Applications closed

Related Jobs

View all jobs

MLOps Engineer — Scale Python ML Deployments

MLOps Engineer - Manchester

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

Senior MLOps Engineer: AI-Driven Banking Platform

Senior MLOps Engineer – Scalable GPU ML Infrastructure

Senior MLOps Engineer - Remote-First AI Pipelines

MLOps Engineer

£500 - £550pd

Outside IR35

Remote

6 month contract

IO Associates have a contract position for an experienced Machine Learning Engineer to join an expanding startup

Founded over 8 years ago, they're creating groundbreaking solutions, utilising AI-driven digital nose technology capable of detecting an extensive range of scents. This innovative technology holds the potential to transform various sectors, and after substantial funding they are looking to expand

They are looking for an MLOps Engineer to transition their ML models from R&D into production. As an MLOps Engineer, you will build data pipeline monitoring and create solutions for effectively monitoring outputs of various types of regression, classification, neural network, and clustering.

Requirements;

Bachelor's degree or equivalent in data science, machine learning, computer science, mathematics, or statistics. 3+ years of industry experience successfully implementing monitoring systems for ML models Experience implementing validation and monitoring protocols for machine learning models Fluent in Python. Experience with TimescaleDB and AWS is a plus Understanding of machine learning approaches and model training processes

Interested in hearing more? Please get in touch with Rebecca Long on / r.long @ ioassociates.co.uk

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 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.