Machine Learning Engineer Language

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At Faculty, we transform organisational performance through safe, impactful and human-centric AI.
With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme .
Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.
Should you join us, youll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project.
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 the Government & Public Services arena.
Because of the potential to work with our clients in the National Security space, you will need to be eligible for Security Clearance, details of which are outlined when you click through to apply.

You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems.
Our Machine Learning Engineerings are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, youll 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
Working with data scientists and engineers to develop best practices and new technologies; Implementing and developing Facultys view on what it means to operationalise ML software.
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
We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.
Understanding of, and experience with the full machine learning lifecycle
Working with Data Scientists to deploy trained machine learning models into production environments
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, GPS or Azure)
We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. Love finding new ways to solve old problems - when it comes to your work and professional development, you dont believe in good enough.
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Location:
London
Job Type:
FullTime

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