WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

AI Application Developer for Security Tech (Remote)

Sprytech Ltd
Greater London, UK
2 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Job source
www.collegerecruiter.com

Tech stack

Artificial Intelligence Machine Learning Cloud Services Tensorflow Software Engineering Data Processing Pytorch

Job description

A cybersecurity technology company is seeking an experienced AI Application Developer to design and develop machine learning models as part of an innovative team. The role involves software development, data handling, solution design, and deployment of models using popular frameworks like TensorFlow and PyTorch, along with cloud services. Candidates should possess a degree in a related field and experience in AI/ML project deployment. The position offers flexible working hours and opportunities for professional development.

Requirements

A cybersecurity technology company is seeking an experienced AI Application Developer to design and develop machine learning models as part of an innovative team. The role involves software development, data handling, solution design, and deployment of models using popular frameworks like TensorFlow and PyTorch, along with cloud services. Candidates should possess a degree in a related field and experience in AI/ML project deployment. The position offers flexible working hours and opportunities for professional development. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

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

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

2:41 min

Transitioning artificial intelligence infrastructure into scalable commodity cloud services

juarezjunior juarezjunior · World Congress 2024

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

8:08 min

Building AI applications at the AWS football hackathon

Chris Heilmann +1 · LIVE

Videos

See all
The AI Security Survival Guide: Practical Advice for Stressed-Out Developers thumbnail
30:36
World Congress 2024 • about 2 years ago

The AI Security Survival Guide: Practical Advice for Stressed-Out Developers

Mackenzie

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

Machine learning in the browser with TensorFlowjs thumbnail
38:24
LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

HÃ¥kan Silfvernagel

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
World Congress 2026 Europe • about 2 months ago

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

Christoph Lohrmann, Utz Bacher

Developing an AI.SDK thumbnail
38:12
World Congress 2021 • about 5 years ago

Developing an AI.SDK

Daniel Graff, Andreas Wittmann

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 3 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Related articles

See all