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Senior ML Performance Engineer - Real-Time Inference & Scale

Odyssey
Greater London, UK
19 days ago
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Role details

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

Tech stack

Machine Learning Performance Tuning Software Engineering Pytorch

Requirements

Odyssey in Greater London seeks an experienced software engineer specializing in machine learning performance optimization. You will optimize models for real-time users, design distributed training strategies, and work with elite ML researchers. Candidates should have at least 8 years of software engineering experience, deep insights into machine learning architectures, and proficiency in PyTorch and NVIDIA optimization. This position offers autonomy in technical decisions and a chance to work with cutting-edge technology. #J-18808-Ljbffr

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Good distractions

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

Moments

Explore playlists

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

8:32 min

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Artem Lajko · Europe 2026 Virtual

3:30 min

Optimizing performance using dedicated open source inference engines

Patrick Koss Patrick Koss · World Congress 2025

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

57 sec

Implementing predictive prefetch with machine learning

Jessica Janiuk · JS Congress

Videos

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World Congress 2026 Europe • 3 months ago

Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated

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Introduction to Azure Machine Learning thumbnail
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LIVE • over 4 years ago

Introduction to Azure Machine Learning

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Practical performance tuning for Serverless Java on AWS thumbnail
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Europe 2026 Virtual • 3 months ago

Practical performance tuning for Serverless Java on AWS

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Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
World Congress 2026 Europe • 3 months ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

Christoph Lohrmann, Utz Bacher

Serverless deployment of (large) NLP models thumbnail
39:02
LIVE • over 5 years ago

Serverless deployment of (large) NLP models

Marek Suppa

30 Golden Rules of Deep Learning Performance thumbnail
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LIVE • over 6 years ago

30 Golden Rules of Deep Learning Performance

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