MLOps Lead: SageMaker & Cloud-Native ML Architect

Uniting Ambition Limited
Greater London, UK
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Cloud Engineering Python (Programming Language) Machine Learning Systems Architecture ReactJS Machine Learning Operations

Job description

Uniting Ambition is seeking a seasoned technical leader to own ML system architecture and drive large-scale transformation. You will oversee migration from MLflow to AWS SageMaker, steward MLOps across predictive maintenance and fault detection, and mentor a 5-10 person engineering team with a balanced leadership and hands-on focus.

Requirements

The role demands extensive experience across software, data, and ML engineering, with strong Python, React, and cloud-native skills to accelerate innovation. #J-18808-Ljbffr

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Good distractions

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

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:23 min

Closing thoughts and educational resources for edge network engineering

Austin Gil · LIVE

58 sec

Real-world application of MLOps architectural patterns at Wayfair

Bas Geerdink · LIVE

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

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