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...
Overview
Faculty is hiring a Senior Machine Learning Ops Engineer to build and deploy responsible AI solutions. You'll work with clients in the defence sector and require eligibility for UK Security Clearance. This position emphasizes collaboration and ethical AI practices.
Job Description
Who you are
You have a strong background in machine learning operations and are passionate about deploying AI solutions that are ethical and responsible. You understand the complexities of working in high-stakes environments, particularly in the defence sector, and are eligible for UK Security Clearance. Your intellectual curiosity drives you to explore innovative applications of AI technology, and you thrive in collaborative settings where you can contribute to impactful projects.
You possess excellent communication skills, allowing you to effectively engage with clients and stakeholders. You are adaptable and willing to work on-site with clients, demonstrating your commitment to delivering high-quality AI solutions. Your experience in machine learning and operations equips you with the technical expertise needed to navigate the challenges of this role.
What you'll do
As a Senior Machine Learning Ops Engineer at Faculty, you will be responsible for building and embedding human-centered AI solutions that enhance the capabilities of our defence clients. You will collaborate closely with clients to ensure that the AI systems we develop are not only cutting-edge but also ethical and reliable. Your role will involve deploying AI models, optimizing performance, and ensuring that our solutions meet the highest standards of quality and security.
You will work within a dynamic team that values innovation and collaboration, contributing to projects that have a real-world impact. Your responsibilities will include designing and implementing machine learning pipelines, monitoring system performance, and iterating on solutions based on client feedback. You will also have the opportunity to mentor junior team members and share your expertise in machine learning operations.
What we offer
At Faculty, we provide a supportive and flexible working environment that encourages professional growth and development. You will have the opportunity to work on meaningful projects that leverage AI technology to make a positive impact. We offer a hybrid working model, allowing you to balance on-site work with remote flexibility. Our team is committed to fostering a culture of collaboration and continuous learning, ensuring that you have the resources and support needed to succeed in your role.
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