Machine Learning Scientist (Remote)

Recruiter
Confidential
Location
Cambridge
Salary
45000.00 - 60000.00 GBP Annual
Posted
18 May 2021
Closes
15 Jun 2021
Sectors
IT
Contract Type
Permanent
Hours
Full Time
Machine Learning Engineer / Data Scientist (Fully Remote)
Multiple Roles Available
GBP45,000-GBP60,000+

Role Summary:
Our client is a high growth AI start-up that specialise in Blockchain Technology. We are looking for multiple Machine Learning Engineers and Data Scientists from Degree Level upwards, where you will gain valuable experience in: game theory, differential privacy, deep learning, cryptography and distributed computing. We are looking for highly talented machine learning professionals to help bring their vision for the future, to life.

What's exciting about this role is that their research scientists have the opportunity to publish in top conferences and work with experienced engineers to deliver the cutting-edge technologies of tomorrow.

Candidates with knowledge and experience in any of the following fields including; reinforcement learning, game theory, federated learning, privacy and homomorphic encryption are strongly encouraged to apply.

Essential:

BSc/MSc/PhD or equivalent experience in STEM subject.
Experience in deep learning such as GANs, variational autoencoders, CNN's.
Experience of modern ML frameworks such as PyTorch and Tensorflow.
Knowledge of probability theory and statistics.
Strong Python programming skills.
Data analysis and visualization and libraries such as Numpy, Pandas, Matplotlib and Jupyter.Desirable Skills:

Experience with differential privacy and/or homomorphic encryption.
Experience with time series data.
Bayesian statistics and inference methods.
Experience with kernel methods, Gaussian processes, SVMs.
Publication of research articles in peer-reviewed journals or conferences.
Knowledge of systems programming languages.
Software development experience.
Industry knowledge in the healthcare, financial, automotive or insurance sectors.Why work for us?

Competitive salary.
Cutting-edge technologies.
Opportunities to publish research.
Flexible working and a great work-life balance.
Private Healthcare/Insurance.
Pension Plan.
Generous annual leave entitlement and a day off for your birthday.
Cycle to work scheme.For more information, please contact Harry Calvert at TEC Partners and apply now

More searches like this