Senior Machine Learning Engineer

Signify Technology European Union
Visa Sponsorship Relocation
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Job Description

Senior Machine Learning Engineer

Remote (Europe)

€160,000 - €210,000 + bonus + equity


About Us

Join one of the United States' top-tier AI companies, renowned globally for advancing cutting-edge artificial intelligence technologies. With a strong presence across North America, we are expanding our European operations to work closely with diverse, cross-functional teams and contribute to impactful projects that drive innovation.


We tackle challenges across various domains, including large-scale machine learning, computer vision, natural language processing, and generative AI. If you're passionate about shaping the future of AI and collaborating with world-class engineers, this is the opportunity for you.


Your Role

As a Senior Machine Learning Engineer, you’ll work on developing scalable ML models and deploying robust systems that solve real-world problems. You’ll collaborate closely with product teams, researchers, and data scientists to design solutions that impact millions of users.


Responsibilities

  • Develop, train, and deploy state-of-the-art machine learning models for production systems.
  • Design scalable ML pipelines to process large datasets efficiently.
  • Collaborate with research teams to translate prototypes into deployable solutions.
  • Optimise model performance and ensure reliability in production environments.
  • Work with cross-functional teams to integrate AI solutions into products and services.
  • Stay updated with the latest advancements in ML and AI to bring innovative ideas to the table.


Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (PhD preferred).
  • 5+ years of hands-on experience in building and deploying ML models at scale.
  • Expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong understanding of data structures, algorithms, and distributed systems.
  • Proven experience working with cloud platforms like AWS, GCP, or Azure.
  • Knowledge of MLOps best practices, including versioning, deployment, and monitoring.
  • Excellent communication skills and the ability to collaborate in a global team.


What We Offer

  • Competitive salary and benefits package tailored to European markets.
  • Flexible remote working options or relocation support to our European office.
  • Opportunity to work on impactful AI projects with a talented global team.
  • Access to state-of-the-art infrastructure and resources.
  • A commitment to career development with regular training and upskilling opportunities.


Ready to shape the future of AI?

Apply today to be part of a team that’s revolutionising the AI landscape in Europe and beyond.

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