Faculty transforms organizational performance through safe, impactful and human-centric AI, serving over 300 global customers.

Faculty is a pioneering AI company that transforms organizational performance through safe, impactful, and human-centric AI solutions. As a Machine Learning Engineer, you'll join a dynamic team working on cutting-edge ML applications in the Defense sector. The role combines engineering excellence with ML expertise, focusing on building production-grade systems and infrastructure.

You'll work in Faculty's Old Street office and client locations in a hybrid setup, spending up to three days per week client-side. The position offers unique opportunities to work on high-impact problems in the National Security space, requiring security clearance eligibility.

The ideal candidate combines technical expertise with a scientific mindset and pragmatic approach. You'll be responsible for the entire ML lifecycle, from working with data scientists to deploy models, to creating scalable tools and infrastructure. Experience with cloud platforms, containers, and ML frameworks is essential.

Faculty offers a distinctive professional environment where you'll work alongside brilliant minds from diverse backgrounds. The company serves over 300 global customers, providing software, AI consultancy, and runs an award-winning Fellowship programme. This role presents an exceptional opportunity to shape the future of AI applications while working with leaders from government, academia, and global tech.

The position offers significant growth potential in a rapidly evolving organization, where you'll contribute to solving real-world problems using cutting-edge technology. You'll be part of a team that values innovation, pragmatic solutions, and responsible AI development, making a meaningful impact in the defense and security sector.

Machine Learning Engineer position at Faculty, focusing on building and deploying ML systems in defense sector, with hybrid work arrangement in London.

Machine Learning Engineer

Faculty is a leading AI consultancy that transforms organizational performance through safe and human-centric AI solutions. As a Cloud Engineer, you'll join their Applied AI consultancy team serving clients across UK Defence, Government, Life Sciences, Energy, Banking and Retail sectors. 

The role offers a unique opportunity to work with brilliant minds bringing Frontier AI to real-world applications. You'll be responsible for building robust, secure, and scalable cloud infrastructure to support data and machine learning workflows. Working in cross-functional technical teams, you'll tackle some of the hardest problems in applied artificial intelligence.

The position operates on a hybrid work model, splitting time between client locations, Faculty's Old Street office, and remote work. You'll be expected to be client-side for up to three days per week, with the remainder spent either at home or in the Old Street office.

Key technical requirements include experience with major cloud providers, Infrastructure as Code, CI/CD, containerization, and networking fundamentals. The ideal candidate combines technical expertise with a scientific mindset, pragmatic problem-solving abilities, and strong client-facing skills.

Faculty offers a stimulating professional environment where you'll be surrounded by brilliant minds from diverse backgrounds, all driven by deep intellectual curiosity. The role provides excellent opportunities for learning and growth, working with cutting-edge AI technologies and contributing to transformative projects across various sectors.

Cloud Engineer position at Faculty, building and maintaining cloud infrastructure for AI applications with hybrid work arrangement in London.

Cloud Engineer

Faculty transforms organizational performance through safe, impactful and human-centric AI, providing software and bespoke AI consultancy to over 300 global customers.

Faculty is a pioneering AI company that transforms organizational performance through safe, impactful, and human-centric AI solutions. With over a decade of experience serving 300+ global customers, Faculty combines software development, AI consultancy, and their renowned Fellowship programme to tackle the most challenging problems in applied AI.

As a Frontend Engineer in the Defence Business Unit, you'll be at the forefront of developing sophisticated user interfaces that visualize insights from data science outputs. This role offers a unique opportunity to work with brilliant minds bringing Frontier AI to real-world applications. You'll be responsible for building scalable web applications, implementing data visualizations, and maintaining high engineering standards across the frontend team.

The position operates on a hybrid work model, splitting time between client locations, Faculty's Old Street office, and remote work. You'll collaborate closely with cross-functional teams including data scientists, engineers, and designers to create impactful solutions. The role demands expertise in modern frontend technologies like React, TypeScript, and Node.js, combined with a passion for solving complex problems.

Faculty offers an intellectually stimulating environment where you'll work alongside diverse, brilliant minds from various backgrounds. The company values scientific thinking, pragmatic problem-solving, and continuous learning. This role is perfect for someone who wants to make a real impact in the AI industry while working on cutting-edge technology in the defence sector.

Frontend Engineer position at Faculty, building AI-powered user interfaces and data visualizations for defence sector clients using React, TypeScript, and Node.js in a hybrid work environment.

Frontend Engineer

Faculty transforms organisational performance through safe, impactful and human-led AI. They are Europe's leading applied AI company, providing over 300 global customers with industry-leading software and bespoke AI consultancy.

Faculty is seeking a Lead Machine Learning Engineer to join their Applied AI consultancy, serving clients in the Government & Public Services business unit. This role involves designing, building, and deploying production-grade software, infrastructure, and MLOps systems, as well as offering leadership and mentorship to junior engineers.

Key responsibilities include:
- Building software and infrastructure leveraging Machine Learning
- Creating reusable, scalable tools for ML system delivery
- Working with customers to understand their needs
- Collaborating with data scientists and engineers to develop best practices
- Implementing Faculty's approach to operationalizing ML software
- Leading on project scope and design
- Providing technical expertise to customers

The ideal candidate should have:
- Understanding of the full machine learning lifecycle
- Experience with common ML frameworks (Scikit-learn, TensorFlow, PyTorch)
- Strong software engineering skills, particularly in Python
- Experience with cloud architecture, preferably AWS
- Proficiency with Docker and Kubernetes
- Leadership experience in growing technical capabilities of a team

Faculty offers a diverse and intellectually stimulating environment, working with brilliant minds on high-impact projects. This role provides an opportunity to make a significant impact in a high-growth start-up poised for international expansion.

Note: Due to potential work with National Security and Policing clients, candidates must be eligible for Security Clearance and may need to travel outside of London.

Lead Machine Learning Engineer role at Faculty, Europe's leading applied AI company, focusing on government and public services projects.

Faculty Engineering Jobs

Faculty transforms organizational performance through safe, impactful and human-centric AI, serving over 300 global customers.