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Senior Machine Learning Engineer at Faculty | London

FacultyLondon
On-site Full-time

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Experience Level

Senior

Qualifications

Qualifications:Proven experience in machine learning and software engineering. Strong programming skills, preferably in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Experience in deploying machine learning models in production environments. Excellent problem-solving abilities and a collaborative mindset. Strong communication skills to effectively interact with clients and team members.

About the job

Why Join Faculty?

Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global customers, we have consistently demonstrated how human-centric AI can transform organizational performance. Discover our real-world impact here.

We steer clear of fleeting trends and instead focus on innovating, constructing, and deploying responsible AI that delivers tangible results. Our extensive expertise spans technical, product, and delivery aspects, serving clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.

As our company and reputation continue to expand rapidly, we are eager to find individuals who share our intellectual curiosity and ambition to create a meaningful legacy through technology.

Join us in harnessing AI's potential to craft powerful applications that can change the world.

About Our Team

At Faculty, our Life Sciences team focuses on developing AI solutions that streamline the research and commercialization processes for groundbreaking therapies. We collaborate with leading pharmaceutical companies, academic institutions, and MedTech startups to create solutions that address pressing healthcare challenges and promote equitable health access.

Your Role:

As a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our varied clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.

This dynamic, cross-functional role requires a unique combination of technical skills, engineering leadership, and client engagement capabilities.

Key Responsibilities:

  • Lead the technical scoping and architectural decisions for impactful ML systems.
  • Design and construct production-grade ML software, tools, and scalable infrastructure.
  • Establish and apply best practices and standards for deploying machine learning effectively.

About Faculty

Faculty is a leader in AI solutions, dedicated to harnessing the power of artificial intelligence to solve complex problems across various industries. Our mission is to drive innovation responsibly and effectively, ensuring that AI technologies benefit everyone.

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