London

Machine Learning Engineer

Introduction

This client is a leading provider of AI solutions. They help organisations navigate the AI transition by providing strategy and road mapping for AI adoption. They actively work with clients to design, build and deploy bespoke AI systems and solutions that deliver productivity and profitability improvements.

 

Benefits for you

  • Working in an environment at the forefront of AI and ML
  • Opportunity to work on a number of different projects including; healthcare, finance and government
  • Collaborative culture - working alongside experts in data science and machine learning
  • Impactful contributions

What to Expect

You will be working with projects in different domains including banking, energy, government, and life sciences to help organizations make better decisions based on data insights.

This exciting tech venture collaborates with academic institutions to research safe and ethical AI practices, ensuring that their technologies are deployed responsibly.

 

Our Ideal Candidate

  • Experience in ML lifecycle
  • Deploying ML models into a production environment
  • Frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • Knowledge of Python
  • Technical experience with cloud architecture
  • Wants to thrive in a dynamic role with freedom to take ownership

What the company does to support women

Their existing teams are already very diverse but they want to make sure  DEI is a key part of their culture from early on

Senior DevOps Engineer

Application

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