About Faculty
Empowering businesses with AI-driven insights
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...
Machine Learning Engineer • Mid-Level
Skills & Technologies
Overview
Faculty is seeking a Machine Learning Engineer to develop and deploy human-centered AI solutions for clients in the defence sector. You'll work with technologies like Python and TensorFlow to create impactful AI applications. This role requires eligibility for UK Security Clearance and offers a hybrid working model.
Job Description
Who you are
You have a strong background in machine learning and AI, with experience in developing and deploying models that solve real-world problems. Your proficiency in Python and frameworks like TensorFlow allows you to build robust solutions that meet client needs. You understand the importance of ethical AI and are committed to delivering responsible technology that has a positive impact. You are comfortable working in high-stakes environments and can navigate the complexities of client interactions, especially in the defence sector. You are eligible for UK Security Clearance and are willing to work on-site with clients as needed. You thrive in collaborative settings and enjoy working with cross-functional teams to drive innovation.
Desirable
Experience with additional machine learning frameworks or tools is a plus. Familiarity with data engineering practices and cloud platforms can enhance your contributions to the team. A passion for continuous learning and staying updated with the latest advancements in AI will help you excel in this role.
What you'll do
As a Machine Learning Engineer at Faculty, you will be responsible for designing and implementing AI solutions that address the unique challenges faced by our defence clients. You will collaborate closely with clients to understand their requirements and translate them into technical specifications. Your role will involve building and training machine learning models, ensuring they are optimized for performance and reliability. You will also be tasked with deploying these models into production environments, monitoring their performance, and iterating on them based on feedback and new data. You will contribute to the ethical considerations of AI deployment, ensuring that our solutions are not only effective but also responsible. You will participate in team meetings and contribute to the overall strategy for AI development within the company.
What we offer
At Faculty, we provide a supportive environment where you can grow your skills and make a meaningful impact. We offer flexible working arrangements, allowing you to balance your professional and personal life effectively. You will have access to coaching and development opportunities to help you advance in your career. Our culture encourages intellectual curiosity and collaboration, making it a great place for innovative thinkers. You will be part of a team that is dedicated to pushing the boundaries of AI technology and delivering exceptional results for our clients. We believe in the power of AI to transform industries and are excited to have you join us on this journey.
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