Software Engineer Machine Learning
Software Engineer Machine Learning
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
About Faculty
At Faculty we transform organisational performance through safe impactful and humancentric AI.
With a decade of experience we provide over 300 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.
What Youll Be Doing
You will design build and deploy productiongrade software infrastructure and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of highimpact problems in the Energy Transition and Environment space examples of which can be found here.
You are engineeringfocused with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cuttingedge 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 nontechnical stakeholders to deploy ML to solve realworld problems. To enable this we work in crossfunctional teams with representation from commercial data science product management and design specialities to cover all aspects of AI product delivery.
The Software and Machine Learning Engineering team is 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 and mentoring data scientists and engineers to develop best practices and new technologies to deliver technically sophisticated highimpact systems
Implementing and developing Facultys view on what it means to operationalise ML software
Were a rapidly growing organisation so roles are dynamic and subject to change. Your role will evolve alongside business needs but you can expect your key responsibilities to include:
Leading on the scope and design of projects
Offering leadership and management to more junior engineers on the team
Providing technical expertise to our customers
Technical Delivery: Work with crossfunctional teams of engineers (Frontend & Cloud) data scientists product designers and managers to deliver ML systems
Translate user research outcomes into full system architecture that leverages Machine Learning
Build software and infrastructure that leverages Machine Learning and see it through to production
Who Were Looking For
At Faculty your attitude and behaviour are just as important as your skills and experience.
Our principles guide our daytoday actions and we look for individuals who can demonstrate their alignment with these.
To succeed in this role youll need the following these are illustrative requirements and we dont expect all applicants to have experience in everything 70 is a rough guide):
Understanding of and interest in the full machine learning lifecycle including deploying trained machine learning models developed using common frameworks such as Scikitlearn TensorFlow or PyTorch
Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
Technical experience of cloud architecture security deployment and opensource tools
Demonstrable experience with containers and specifically Docker and Kubernetes
Comfortable in a highgrowth startup environment
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
Have experience in working directly with clients and end users to conduct: Requirements Gathering Technical Planning and Scoping
Technical experience of cloud architecture security networking deployment and opensource tools ideally with one of the 3 major cloud providers (AWS GCP or Azure)
Experience with software engineering best practices and developing applications in Python.
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 focus to make it happen. If youre a good fit for Faculty you probably:
Love finding new ways to solve old problems when it comes to your work and professional development you dont believe in good enough. You always seek new ways to solve old challenges.
Think scientifically even if youre not a scientist you test assumptions seek evidence and are always looking for opportunities to improve the way we do things.
Are pragmatic and outcomefocused you know how to balance the big picture with the little details and know a great idea is useless if it cant be executed in the real world.
What we can offer you:
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. Youll 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 youll learn something new from everyone you meet.
Employment Type
Full-Time
