Machine Learning Engineer - Government & Public Services

Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations.

Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online.

You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in our Government & Public Services team.

Because of the potential to work with our clients in the National Security space, you will need to be eligible for Security Clearance.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You will develop new methodologies and champion best practices for managing AI systems deployed at scale. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems.

As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by:

• Building software and infrastructure that leverages Machine Learning;
• Creating reusable, scalable tools to enable better delivery of ML systems;
• Working with our customers to help understand their needs;
• Collaborating with data scientists and engineers to develop best practices and new technologies;
• Implementing and developing Faculty's view on what it means to operationalise ML software.

Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

• Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems;
• Working with senior engineers to scope projects and design systems;
• Providing technical expertise to our customers;
• Technical Delivery.

We look for individuals who share our principles and excitement to help our customers reap the rewards of AI responsibly. If you're the right candidate for us, you probably:

• Think scientifically, testing assumptions and seeking evidence;
• Love finding new ways to solve old problems;
• Are pragmatic and outcome-focused, balancing the big picture with the little details.

To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide):

• Understanding of, and experience with the full machine learning lifecycle;
• Experience deploying trained machine learning models into production environments;
• Experience with models developed using frameworks such as Scikit-learn, TensorFlow, or PyTorch;
• Experience with software engineering best practices and developing applications in Python;
• Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure);
• Experience with containers, specifically Docker and Kubernetes;
• Understanding of core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques;
• Experience managing/mentoring more junior members of the team;
• Outstanding verbal and written communication;
• Excitement about working in a dynamic role with the autonomy and freedom to take ownership of problems.

The Faculty team is diverse and distinctive, driven by a deep intellectual curiosity. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals, and you'll have the opportunity to make your mark on a high-growth start-up poised to expand internationally.