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Machine Learning Engineer

Anson McCade

AnyLondon
London
Any
Posted a month ago by Anson McCade

Job Description

Job Description


About the Company

I’m currently working on an exciting opportunity for a Machine Learning Engineer to join a rapidly growing AI organisation working on some genuinely high-impact projects across National Security, Government and cutting-edge technology.



About the Role

This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure.



Responsibilities

  • Building and deploying production-grade ML software, tools and infrastructure
  • Developing scalable and reusable ML solutions
  • Working closely with engineers, data scientists and clients
  • Contributing to technical architecture and solution design
  • Helping define best practices for deploying ML at scale
  • Advising clients and translating complex ML concepts into practical solutions



Qualifications

  • Strong Python and software engineering experience
  • Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch
  • Strong understanding of the machine learning lifecycle
  • Experience with AWS, Azure or GCP
  • Hands-on experience with Docker and Kubernetes
  • Solid understanding of ML fundamentals, probability and statistics
  • Strong communication skills and the ability to work with both technical and non-technical stakeholders



Required Skills

  • Strong Python and software engineering experience
  • Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch
  • Strong understanding of the machine learning lifecycle
  • Experience with AWS, Azure or GCP
  • Hands-on experience with Docker and Kubernetes
  • Solid understanding of ML fundamentals, probability and statistics
  • Strong communication skills and the ability to work with both technical and non-technical stakeholders



Preferred Skills

  • Experience with AWS, Azure or GCP
  • Hands-on experience with Docker and Kubernetes




Due to the nature of the work, candidates may need to be eligible for UK Developed Vetting (DV).