0 Jobs

Job Shortlist

Apply to these jobs


Machine Learning Engineer

  • Data

  • England, UK

  • £40,000 - £80,000

  • Permanent

Apply now

Recruiting this role:

James Lord

James Lord

Machine Learning Engineer | Artificial Intelligence | Synthetic Data

Salary: £70,000 - £80,000

Sector: Artificial Intelligence scale up

Location: Hybrid with offices in London and Sheffield

🚀 Hypergrowth Scaleup

💸 Over $3 million in funding

👽 Artificial Intelligence

🌎Building Virtual Worlds

🏆 Multiple Awards

Burns Sheehan are partnering with one of the world's leading AI scale ups who train AI systems to see how we see in order to build virtual complex worlds all through the use of synthetic data.

Teaching machines to see through the use of CNN's requires a ton of data right?... So how can we make this faster ?

This company have built an end to end synthetic data creation platform that can help computers understand and predict human interactions in applications ranging across retail, smart home, healthcare and smart city.

By embedding synthetic data as appose to real world data their platform can model limitless virtual worlds in a matter of hours as appose to days , automating real world behaviour modelling and creating unlimited diverse relevant data.

As a Machine Learning Engineer you will be responsible for the development, training, validation and testing of detection, classification and other vision-based solutions using convolutional neural networks.

As a Machine Learning Engineer you will help to build and maintain the software necessary to apply the new tools and methods to machine learning projects. This includes internal libraries and code as well as production software tools to add the platform.

What are you waiting for .. apply now !

Machine Learning Engineer | Artificial Intelligence | Synthetic Data

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

Apply now

Apply for this Job

UploadAttach a CV

To find out about how we process your data, please read our privacy policy.


Similar open positions