Machine Learning Engineer

Anywhere Middle
£££ - COMPETITIVE
PERMANENT

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DESCRIPTION

Are you an experienced Machine Learning Engineer looking for an exciting opportunity to play a key role to build the next generation of AI-powered systems?

If so, we currently have an exciting opportunity for a Machine Learning Engineer to join a prestigious company that delivers AI capabilities to solve real world problems.

The company has offices in the UK and would consider candidates from UK and Europe. Visa sponsorship is also available for the right candidate.

About the position:

As a Machine Learning Engineer, you will be responsible for the design, development, training and testing of neural networks that are capable of improving their accuracy by leveraging unlabeled data.

You will be part of the Engineering team and you will work closely with the product owner and technical lead on assessing the feasibility and business viability of products in the smart devices and inspection industries, based on customer requirements. At the start of development, you will identify appropriate training data sets, suggest and implement improvements to the existing neural network models, streamline coding, training, validation and testing such that all customer needs are satisfied.

Skills/Qualifications:

Essential

  • MSc or PhD Degree in Computer Science, Engineering, Mathematics or Statistics
  • 3+ years of working experience in building machine learning applications for computer vision
  • 3D deep learning experience, mainly point cloud and LIDAR.
  • Good knowledge of machine learning frameworks, such as TensorFlow or PyTorch
  • Excellent programming skills in Python
  • Strong software skills in building complex and well-designed cloud-based and/or edge-based AI models
  • Experience with software development version control and engineering principles
  • Ability to work independently
  • Effective communicator of complex data and methods to experts and non-experts

Desirable

  • Experience in developing and training neural networks that use generative models such as Variational Autoencoders and Generative Adversarial Networks
  • Good knowledge of the techniques behind transfer learning
  • Proficiency in studying performance of models with ablation studies

Benefits:

  • Hybrid working
  • Generous vacation policy
  • Remote friendly work environment
  • Bonus scheme
  • Visa sponsorship available

and more...


Skills required for this job:
PyTorch (Machine Learning Library)
Posted by:
Admin
  • Work Style Hybrid
  • Experience Middle
  • Duration Permanent
  • Job type Full-time
  • Payment type £££ - COMPETITIVE
  • Location Anywhere

3 talents have already applied


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