Principal ML Engineer (Hybrid)
Principal ML Engineer (Hybrid)
Machine Learning/AI
£90 - 100k & a great benefits package
London
London
United Kingdom
20-11-2023 09:16 AM
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You will contribute significantly to business development by bridging innovative thinking with cutting-edge AI tools and solutions. Your expertise will be instrumental in crafting a competitive product that propels the company to new heights.
What you’ll bring:
• Extensive experience in machine learning engineering with a proven track record of successfully implementing AI solutions.
• Proven experience with Python, and the Python data/ML ecosystem (NumPy, TensorFlow, PyTorch, scikitlearn) and strong experience with Java or other OOP languages.
• Previous hands-on experience with integrating tools like ChatGPT, Langchain, and other AI technologies.
• Experience with modern cloud architectures (serverless, event-driven) in AWS & GCP
• Proficiency in engineering best practices (CI/CD, observability, configuration management)
• Ability to manage the end-to-end AI development process, from conceptualization to deployment.
• Previous experience of designing APIs and full applications from scratch.
• Good understanding of data engineering concepts.
• Outstanding communication skills to effectively collaborate with both technical and non-technical internal and external stakeholders.
• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
GREAT BENEFITS PACKAGE
What you’ll bring:
• Extensive experience in machine learning engineering with a proven track record of successfully implementing AI solutions.
• Proven experience with Python, and the Python data/ML ecosystem (NumPy, TensorFlow, PyTorch, scikitlearn) and strong experience with Java or other OOP languages.
• Previous hands-on experience with integrating tools like ChatGPT, Langchain, and other AI technologies.
• Experience with modern cloud architectures (serverless, event-driven) in AWS & GCP
• Proficiency in engineering best practices (CI/CD, observability, configuration management)
• Ability to manage the end-to-end AI development process, from conceptualization to deployment.
• Previous experience of designing APIs and full applications from scratch.
• Good understanding of data engineering concepts.
• Outstanding communication skills to effectively collaborate with both technical and non-technical internal and external stakeholders.
• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
GREAT BENEFITS PACKAGE