Senior Machine Learning Engineer – REMOTE UK
Experience of taking models from PoC into cloud systems is essential. Python, ideally AWS or Azure, deploying models.
Are you ready to harness the power of AI and data science to impact industries as diverse as satellite communications, energy management, and healthcare? My client is looking for a Senior Machine Learning Engineer to take on a key role in transforming concepts into cutting-edge solutions, directly shaping the future of advanced technologies. This is an opportunity to lead with your expertise and see your innovations thrive across multiple high-stakes projects.
Why You Should Apply
Work at the intersection of AI, advanced mathematics, and real-world impact. Lead multiple projects with direct customer interaction and influence. Be a technical authority in a forward-thinking, collaborative environment. Mentorship and leadership opportunities, including developing the next generation of ML engineers. Flexible work arrangements with a mix of remote and office options. Enhanced leave benefits, mental health support, and a generous pension. What You’ll Be Doing
Build, train, and monitor robust machine learning pipelines. Lead model architecture and MLOps development across multiple platforms. Collaborate with consultants, engineers, and customers on cutting-edge projects. Drive model trustworthiness through confidence quantification and explainability. Mentor and lead teams, fostering innovation and growth. About You
Experience of taking models from PoC into cloud systems is essential. Expertise in Python, MLOps, and cloud services. Comfortable managing multiple, complex projects simultaneously. A technical leader who can guide both clients and team members. Experience in confidence quantification and model explainability. Demonstrable experience in AWS or Azure. Please apply via the link for immediate consideration.
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Work at the intersection of AI, advanced mathematics, and real-world impact. Lead multiple projects with direct customer interaction and influence. Be a technical authority in a forward-thinking, collaborative environment. Mentorship and leadership opportunities, including developing the next generation of ML engineers. Flexible work arrangements with a mix of remote and office options. Enhanced leave benefits, mental health support, and a generous pension. What You’ll Be Doing
Build, train, and monitor robust machine learning pipelines. Lead model architecture and MLOps development across multiple platforms. Collaborate with consultants, engineers, and customers on cutting-edge projects. Drive model trustworthiness through confidence quantification and explainability. Mentor and lead teams, fostering innovation and growth. About You
Experience of taking models from PoC into cloud systems is essential. Expertise in Python, MLOps, and cloud services. Comfortable managing multiple, complex projects simultaneously. A technical leader who can guide both clients and team members. Experience in confidence quantification and model explainability. Demonstrable experience in AWS or Azure. Please apply via the link for immediate consideration.
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