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MLOps Engineer: Deploy, Monitor & Scale ML (Remote)

Dimensionalconsultingltd
Manchester, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Amazon Web Services DevOps Python (Programming Language) Cloud Services Kubernetes Machine Learning Operations

Job description

Dimensionalconsultingltd is seeking an MLOps Engineer to own the entire ML deployment lifecycle, ensuring models are reliable and scalable. The role involves building CI/CD pipelines, designing model serving infrastructure, and collaborating with ML engineers.

Ideal candidates will have over 3 years of experience in DevOps and proficiency in Python, Kubernetes, and cloud services like AWS or GCP. The position offers fully remote work, a competitive salary, private healthcare, and significant annual leave.

Requirements

Ideal candidates will have over 3 years of experience in DevOps and proficiency in Python, Kubernetes, and cloud services like AWS or GCP. The position offers fully remote work, a competitive salary, private healthcare, and significant annual leave. #J-18808-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:41 min

Transitioning artificial intelligence infrastructure into scalable commodity cloud services

juarezjunior juarezjunior · World Congress 2024

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

Videos

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Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML thumbnail
39:58
LIVE • over 5 years ago

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • about 2 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

DevOps for Machine Learning thumbnail
44:40
World Congress 2021 • about 5 years ago

DevOps for Machine Learning

Hauke Brammer

#90DaysOfDevOps - The DevOps Learning Journey thumbnail
44:42
LIVE • over 3 years ago

#90DaysOfDevOps - The DevOps Learning Journey

Michael Cade

DevOps Maturity Check – a way to balance autonomy and alignment thumbnail
42:52
LIVE • almost 6 years ago

DevOps Maturity Check – a way to balance autonomy and alignment

Martin Thalmann

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