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Machine Learning Engineer at Faculty | London

FacultyLondon
On-site Full-time

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Experience Level

Experience

Qualifications

Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch). Strong understanding of machine learning algorithms and statistical methods. Experience in software development, particularly in building scalable systems. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.

About the job

Why Join Faculty?

Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. We have partnered with over 350 global clients to harness the power of human-centric AI, driving significant performance improvements. Discover our real-world impacts here.

We prioritize innovation over trends, focusing on creating and implementing responsible AI solutions that effect real change. Our extensive expertise spans technical, product, and delivery aspects, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.

As our business rapidly expands, we seek individuals who share our intellectual curiosity and dedication to leveraging technology for a positive impact.

Join us to explore the transformative applications of AI and influence its future.

About Our Team

Within our Professional and Financial Services unit, we apply over a decade of experience in Applied AI to assist clients in navigating an evolving landscape.

We design and implement AI solutions that enhance operational efficiency, improve customer experience, and unlock commercial opportunities in uncertain markets. Despite operating within a highly regulated environment, we are committed to driving meaningful innovation, setting benchmarks for technical excellence and safe deployment.

About the Role

As a Machine Learning Engineer, you will play a crucial role in delivering tailored, impactful AI solutions for our diverse clientele in Financial Services.

Your expertise will bridge the gap between theoretical machine learning and practical application, contributing to scalable software architecture and establishing best practices. Collaborating with clients and cross-functional teams, you will ensure technical feasibility and the timely delivery of high-quality, production-ready ML systems.

Key Responsibilities:

  • Developing and deploying production-grade machine learning software, tools, and infrastructure.
  • Creating reusable and scalable solutions that expedite the deployment of AI applications.

About Faculty

Faculty, established in 2014, is a leader in human-centric AI solutions, working with a diverse client base to drive innovation and performance across various sectors.

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