Machine Learning Researcher

AnyVision, Research · Full-time · Intermediate

About The Position

AnyVision Research UK is a world leading team of scientists and engineers that creates AI for the Real World. With deployments and clients spanning the globe, we are recognized as leaders in the fields of Face Recognition, Object Recognition, Object Detection and Visual Target Tracking. As we grow in scope and ambition in 2020, we invite highly motivated, world class Machine Learning researchers to apply to join us.

We are especially interested in talking to researchers who are excited about solving challenges and make an impact in the real world.

Our scientists have the opportunity to publish in leading conferences and supervise doctoral-level research with our academic partners. At AnyVision you will have the chance to combine the best of academic research with world-changing engineering in a diverse and flexible work environment.


You are:

a highly motivated individual with a rigorous, meticulous, and scientific approach to

life. You should be comfortable working within a team when it suits the project at hand, but also be capable of working on your own if needs be. You are able to lead and direct a significant research program.

Must have skills:

The candidate is expected to have an excellent track record in conducting and leading research including but not limited to:

-      A PhD in mathematics, machine learning, computer vision or a related discipline from a recognized academic institution.

-      Background in self-supervised learning, unsupervised learning, Bayesian approximation (uncertainty in deep learning), autoML.

-      Publication track record in major (i.e. A/A*, Tier 1) computer science conferences and journals e.g. NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV.

-      Excellent programming skills in Python and/or C++.

-      Excellent communication skills, especially of technical concepts and ideas.

Desirable skills:

-      Mastery of Machine learning frameworks (at least one of PyTorch, Caffe, Tensorflow, Scikit-Learn)

-      Familiarity with Git and the ability to deliver documented research and internal technical reports including benchmark results.

-      Track record of solving large scale machine learning problems by leading a team.

-      Strong mathematical and statistical background.

-      Show understanding of problems from data through to deployment targets and steer projects likewise.

-      Ability to work with multiple teams like Data, product and engineering to guide a project from concept to deployment.


Belfast, London or Europe.

The closing date for applications:

Friday 27th November 2020.

Apply for this position