
201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
Artificial Intelligence • Defense • Healthcare
Faculty is a company specializing in Frontier AI, providing advanced artificial intelligence services to various sectors. With a focus on real-world impact, Faculty works with clients in defense, healthcare, and financial services, using machine learning to improve operational efficiency and predict outcomes. Their solutions address critical challenges in national security, public services, and retail, emphasizing ethical AI deployment and sustainability.
🕒 March 27
🏢🏡 London – Hybrid
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
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201 - 500 employees
Founded 2014
🤖 Artificial Intelligence
Artificial Intelligence • Defense • Healthcare
Faculty is a company specializing in Frontier AI, providing advanced artificial intelligence services to various sectors. With a focus on real-world impact, Faculty works with clients in defense, healthcare, and financial services, using machine learning to improve operational efficiency and predict outcomes. Their solutions address critical challenges in national security, public services, and retail, emphasizing ethical AI deployment and sustainability.
• Joining as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for diverse Financial Services clients. • Building and deploying production-grade ML software, tools, and infrastructure. • Creating reusable, scalable solutions that accelerate the delivery of ML systems. • Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. • Leading technical scoping and architectural decisions to ensure project feasibility and impact. • Defining and implementing Faculty’s standards for deploying machine learning at scale. • Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.
• You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. • You possess strong Python skills and solid experience in software engineering best practices. • You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. • You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale • You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. • You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. • You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions
• Unlimited Annual Leave Policy • Private healthcare and dental • Enhanced parental leave • Family-Friendly Flexibility & Flexible working • Sanctus Coaching • Hybrid Working
Apply Now🕒 March 17
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