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...
Skills & Technologies
Overview
Faculty is hiring a Senior Machine Learning Engineer to develop and deploy human-centric AI solutions. You'll work with Python, TensorFlow, and PyTorch to drive impactful AI applications. This position requires significant experience in machine learning and AI technologies.
Job Description
Who you are
You have a strong background in machine learning and AI, with at least 5 years of experience in developing and deploying machine learning models. Your expertise in Python is complemented by your proficiency in frameworks like TensorFlow and PyTorch, allowing you to build robust AI 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 thrive in collaborative environments, working closely with cross-functional teams to translate complex problems into actionable AI strategies. Your communication skills enable you to articulate technical concepts to non-technical stakeholders, ensuring alignment and understanding across the board. You are adaptable and open to feedback, always looking for ways to improve your work and the solutions you provide.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data engineering practices. You may also have a background in specific industries like finance or defense, which can enhance your understanding of the unique challenges faced by our clients.
What you'll do
As a Senior Machine Learning Engineer at Faculty, you will lead the design and implementation of machine learning models tailored to our clients' needs. You will collaborate with data scientists and engineers to ensure the seamless integration of AI solutions into existing systems. Your role will involve conducting experiments to validate model performance and iterating on designs based on feedback and results.
You will also engage with clients to understand their challenges and provide insights on how AI can enhance their operations. This may involve presenting findings and recommendations to stakeholders, ensuring they are informed and confident in the solutions being proposed. Your work will contribute to the development of cutting-edge AI applications that drive significant improvements in performance and efficiency.
What we offer
At Faculty, we believe in empowering our employees to innovate and excel. You will have the opportunity to work on high-impact projects that shape the future of AI technology. We offer a flexible working environment, allowing you to balance on-site collaboration with remote work. Our commitment to professional development means you will have access to resources and training to further enhance your skills and career growth.
Join us in our mission to build responsible AI solutions that make a difference. We encourage you to apply even if your experience doesn't match every requirement — your unique strengths and perspectives are valuable to us.
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