Machine Learning Engineer

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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, you’ll 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.

Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.

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 Defence and National Security arena.

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 Engineers are responsible for the engineering aspects of our customer delivery projects. 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
• Working with data scientists and engineers to develop best practices and new technologies; and
• Implementing and developing Faculty’s view on what it means to operationalise ML software.

As a rapidly growing organisation, roles are dynamic and subject to change. 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

To succeed in this role, you’ll need the following (illustrative requirements; 70% guidance):

• Understanding of, and experience with the full machine learning lifecycle
• Experience deploying trained machine learning models into production environments with data scientists
• Experience with models 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 (AWS, GCP or Azure)
• Demonstrable experience with containers and specifically Docker and Kubernetes
• Understanding of probability and statistics and familiarity with common supervised and unsupervised learning techniques
• Demonstrable experience mentoring junior team members
• Outstanding verbal and written communication
• Excitement about working in a dynamic role with autonomy and ownership

We like people who combine expertise and ambition with optimism and have the drive to change the world for the better. If you’re the right candidate for us, you probably:

• Think scientifically, test assumptions, seek evidence and improve what we do
• Love solving problems and pursue continuous improvement
• Are pragmatic and outcome-focused, balancing big-picture with execution in the real world

The Faculty team is diverse and distinctive, driven by a deep intellectual curiosity. Faculty is the professional challenge of a lifetime, with an impressive group of minds working toward our collective goals. You’ll learn from colleagues across consulting, product development, business development, and operations.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet

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