Faculty

About Faculty

Empowering businesses with AI-driven insights

👥 201-500 employees📍 Old Street, London, UK💰 $52.7m3.9
B2BArtificial IntelligenceBig dataMachine Learning

Key Highlights

  • Raised $52.7M in Series A funding
  • Headquartered in Old Street, London, UK
  • Works with clients like Samsung, BBC, and Just Eat
  • Developed Frontier, a Design Intelligence platform

Faculty, headquartered in Old Street, London, specializes in AI solutions for public and private sectors, working with clients like Samsung, the BBC, and Just Eat. The company has raised $52.7 million in Series A funding and employs between 201-500 people. Their flagship product, Frontier, is a Desi...

🎁 Benefits

Faculty offers hybrid working arrangements, equity options for employees, unlimited holidays, and comprehensive health coverage including private heal...

🌟 Culture

Faculty emphasizes a results-driven culture where employees are trusted to manage their own work schedules. The company values collaboration and innov...

Overview

Faculty is hiring a Machine Learning Engineer to deliver bespoke AI solutions for diverse clients. You'll work on bringing machine learning applications to real-world scenarios. This position requires a strong background in AI and machine learning.

Job Description

Who you are

You have a strong background in machine learning and AI, with experience in delivering impactful solutions that address real-world challenges. You are intellectually curious and eager to innovate, bringing your expertise to a team that values responsible AI development. You thrive in collaborative environments and are excited about the opportunity to work with clients across various sectors, including healthcare and life sciences.

What you'll do

As a Machine Learning Engineer at Faculty, you will be instrumental in designing and implementing AI solutions that optimize research and commercialization processes in life sciences. You will collaborate with major pharmaceutical firms and academic research centers to develop scalable machine learning models that address critical healthcare challenges. Your role will involve taking machine learning from the lab to practical applications, ensuring that the solutions you create are both effective and responsible.

What we offer

Faculty provides a supportive environment where you can grow your skills and contribute to meaningful projects. We offer flexible working arrangements, including hybrid options, allowing you to balance your professional and personal life. Join a team that is dedicated to making a positive impact through technology and be part of a company that values innovation and collaboration.

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