MLOps Engineer

Morson Edge
London, United Kingdom
Today
£700 – £800 pd

Salary

£700 – £800 pd

Job Type
Contract
Work Pattern
Full-time
Work Location
Remote
Posted
5 Jun 2026 (Today)

MLOps Engineer

Location: Remote (Occasional travel to their London office)

Contract: Inside IR35

Day rate: Up to £800 per day

Duration: 6 months

Start date: ASAP

Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure

As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence.

Key Skills:

- Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django)

- Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker)

- Experience with CI/CD pipelines and cloud environments (we use Azure)

Assignment Objectives

- Implement or improve model monitoring and operational controls for AI/ML systems.

- Build and maintain robust ML pipelines for training, deployment, and monitoring

- Develop backend systems and APIs that integrate AI into our SaaS platform

- Take ownership of the ML performance, monitoring, availability, and security

- Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence.

- Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations.

- Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts.

- Create repeatable evidence for monitoring, alerting, response, review and BAU handover.

- Ensure MLOps controls are sustainable after the remediation programme closes

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.