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Senior ML Engineer — Remote, End-to-End AI

Jack & Jill/External ATS

Remote

GBP 60,000 - 80,000

Full time

Today
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Job summary

A high-growth AI-driven tech platform is seeking a Senior Machine Learning Engineer to drive the development of sophisticated models that enhance user experiences. The role entails designing, training, and deploying scalable machine learning architectures while collaborating closely with cross-functional teams. Candidates should have proven experience in building production ML systems in a cloud setting, strong proficiency in Python, and in-depth knowledge of MLOps principles. This is a remote position offering significant autonomy to shape technical strategy in a rapidly evolving ecosystem.

Qualifications

  • Proven experience building and scaling production machine learning systems in a cloud environment.
  • Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
  • Deep understanding of MLOps principles, including versioning, monitoring, and automated deployment strategies.

Responsibilities

  • Design, train, and deploy large-scale machine learning models to solve complex real-world challenges.
  • Optimize ML infrastructure and data pipelines to ensure high availability and low-latency inference.
  • Collaborate with product and engineering teams to integrate intelligent features into the core platform.

Skills

Python
MLOps principles
Deep Learning frameworks (PyTorch/TensorFlow)
Job description
A high-growth AI-driven tech platform is seeking a Senior Machine Learning Engineer to drive the development of sophisticated models that enhance user experiences. The role entails designing, training, and deploying scalable machine learning architectures while collaborating closely with cross-functional teams. Candidates should have proven experience in building production ML systems in a cloud setting, strong proficiency in Python, and in-depth knowledge of MLOps principles. This is a remote position offering significant autonomy to shape technical strategy in a rapidly evolving ecosystem.
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