Machine Learning Engineer

About Faculty

Faculty is one of Europe's leading applied artificial intelligence companies, building, deploying, and operating AI solutions to enhance customer performance. They are committed to trustworthy, impactful, and beneficial AI across society, working with over 230 organizations in both public and private sectors. Notable projects include the COVID-19 Early Warning System for the NHS and an AI model for the Home Office to detect propaganda videos.

Please note: Due to project requirements, applicants must hold valid existing security clearance or be eligible for UK security clearance (5 years continuous UK address history, no criminal convictions). Faculty will cover all associated costs.

What You'll Be Doing

As a Machine Learning Engineer, you will design, build, and deploy production-grade software, infrastructure, and MLOps systems. You will leverage machine learning to help customers solve high-impact problems, focusing on engineering with a keen interest in operationalized machine learning. Your role involves taking cutting-edge ML applications into the real world, developing new methodologies, and championing best practices for managing AI systems at scale, considering technical, ethical, and practical requirements. You will support both technical and non-technical stakeholders in deploying ML solutions, working within cross-functional teams comprising commercial, data science, product management, and design specialities.

Key responsibilities include:

• Building software and infrastructure that leverages Machine Learning.
• Creating reusable, scalable tools to enable better delivery of ML systems.
• Working with customers to understand their needs.
• Collaborating with data scientists and engineers to develop best practices and new technologies.
• Implementing and developing Faculty's approach to operationalizing ML software.
• Working in cross-functional teams (engineers, data scientists, designers, managers) to deliver technically sophisticated, high-impact systems.
• Working with senior engineers to scope projects and design systems.
• Providing technical expertise to customers.
• Technical Delivery.

Who We're Looking For

Faculty values attitude and behavior alongside technical skill. They seek individuals who support their values, foster their culture, and are driven by expertise, ambition, and optimism, aiming to change the world for the better. Ideal candidates:

• Think scientifically, testing assumptions, seeking evidence, and continuously improving processes.
• Are innovative problem-solvers, always seeking new ways to address challenges.
• Are pragmatic and outcome-focused, balancing the big picture with details and ensuring ideas are executable.

To succeed in this role, you should have (illustrative requirements, not all are strictly necessary):

• Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Understanding of core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques.
• Experience in software engineering, ideally including programming in Python.
• Technical experience in cloud architecture, security, deployment, and open-source tools, with hands-on experience of at least one major cloud platform.
• Demonstrable experience with containers, specifically Docker and Kubernetes.
• Comfort in a high-growth startup environment.
• Outstanding verbal and written communication.
• Excitement about working in a dynamic role with autonomy and freedom to take ownership of problems.

What We Can Offer You

Faculty offers a unique and diverse team driven by intellectual curiosity, aiming to make artificial intelligence real. Benefits include:

• Genuinely flexible working: Trust in employees to manage their work and support for life outside Faculty, including provision of home office equipment.
• Equity: Opportunity to benefit from Faculty's growth and success.
• Unlimited holidays: Encouragement to take breaks, work on personal projects, or spend time with family.
• Fantastic private health, optical, and dental cover: For you and your family, including 24/7 unlimited virtual private GP appointments and coverage for pre-existing medical conditions.
• Access to mental health coaching with Sanctus.
• Breakfast & Lunch daily: (For office-based employees), and abundant fruit, drinks, and snacks.