Machine Learning Engineer - Professional and Financial Services

About the Role

As a Machine Learning Engineer in our Professional and Financial Services business unit, you will work on project teams delivering bespoke machine learning solutions to our clients. You will be responsible for implementing data-driven approaches, contributing to the design of scalable software architectures, and ensuring best practices are followed throughout development.

You will collaborate closely with our commercial team to help shape and deliver high-quality projects. In the early stages of client engagements, you will contribute to defining the technical scope, ensuring that proposed solutions are both feasible and aligned with business objectives. Your work will play a critical role in ensuring we deliver impactful software within agreed time frames.

This role offers the opportunity to apply cutting-edge machine learning techniques to complex challenges in professional and financial services, while working alongside colleagues from diverse technical and commercial backgrounds.

• 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 ope rationalise 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
• Providing technical expertise to our customers
• Technical Delivery

• Understanding of, and experience with the full machine learning lifecycle
• Working with Data Scientists to deploy trained machine learning models into production environments
• Working with a range of models developed using common frameworks such as Scikit-learn, Tensor Flow, or Py Torch
• 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)
• Demonstrable experience with containers and specifically Docker and Kubernetes
• An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
• Demonstrable experience of 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 you need to take ownership of problems and see them through to execution

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.

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.

Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.