About Faculty
At Faculty, we transform organisational performance through safe, impactful and human-centric 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, 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. About the role:
Faculty Applied AI is the professional services arm of Faculty. As a member of the Applied AI platform team you will be responsible for building and maintaining the data science, MLOps, and deployment tooling that enables our team of over 100 Data Scientists and Engineers to deploy full-stack machine learning products for our customers. What you’ll be doing:
You’ll be working within a small team, in collaboration with our customer-facing technologists. The platform you own will be a significant lever on the quality of our deployed software. Taking ownership for our existing tooling, you’ll contribute to the technology our teams need to deliver our world-leading machine learning solutions; whether that’s new features for our notebook development environment, improvements to our model monitoring tooling or how we deploy our systems into a variety of client environments. What we’re looking for:
An software engineer who loves building tools to enable others, understanding their impact, and improving them. Experience of the machine learning product lifecycle and how data scientists go from exploration to deployed models. Modern systems programming in at least one programming language e.g Python, Go and Scala. Infrastructure-as-code and DevSecOps in one or more major cloud environments. Experience working as part of a small, fast-moving team. Distributed, containerised microservices architectures: docker, kubernetes. Specifics that will help:
Kubernetes cluster management using kubectl or kops. IaaC: CloudFormation, Terraform. DevSecOps: GitLab CI/CD, Helm. MLOps using MLFlow, Jupyter notebooks. Programming in Scala and Python: Some of our existing tooling is in Scala, and python is the language of our data science workflows, but we’re open to using the right technologies for the job. Our systems run in AWS, but we’re looking at how to integrate with other cloud providers so experience in more than one will help. Experience in a platform/internal enablement team. Culture & Benefits at Faculty
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. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions. 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. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally. Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people. 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. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
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At Faculty, we transform organisational performance through safe, impactful and human-centric 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, 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. About the role:
Faculty Applied AI is the professional services arm of Faculty. As a member of the Applied AI platform team you will be responsible for building and maintaining the data science, MLOps, and deployment tooling that enables our team of over 100 Data Scientists and Engineers to deploy full-stack machine learning products for our customers. What you’ll be doing:
You’ll be working within a small team, in collaboration with our customer-facing technologists. The platform you own will be a significant lever on the quality of our deployed software. Taking ownership for our existing tooling, you’ll contribute to the technology our teams need to deliver our world-leading machine learning solutions; whether that’s new features for our notebook development environment, improvements to our model monitoring tooling or how we deploy our systems into a variety of client environments. What we’re looking for:
An software engineer who loves building tools to enable others, understanding their impact, and improving them. Experience of the machine learning product lifecycle and how data scientists go from exploration to deployed models. Modern systems programming in at least one programming language e.g Python, Go and Scala. Infrastructure-as-code and DevSecOps in one or more major cloud environments. Experience working as part of a small, fast-moving team. Distributed, containerised microservices architectures: docker, kubernetes. Specifics that will help:
Kubernetes cluster management using kubectl or kops. IaaC: CloudFormation, Terraform. DevSecOps: GitLab CI/CD, Helm. MLOps using MLFlow, Jupyter notebooks. Programming in Scala and Python: Some of our existing tooling is in Scala, and python is the language of our data science workflows, but we’re open to using the right technologies for the job. Our systems run in AWS, but we’re looking at how to integrate with other cloud providers so experience in more than one will help. Experience in a platform/internal enablement team. Culture & Benefits at Faculty
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. This curiosity pushes us to seek truth and understanding in everything we do, to execute work in a nimble and pragmatic manner, to foster talent in one another and always to challenge assumptions. 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. You’ll also have the opportunity to make your mark on a high-growth start-up now poised to expand internationally. Fostering talent is one of our core values, it’s built into our culture and what we offer. Faculty was founded by people who are passionate about continuous learning, and adding value to our people. 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. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.
#J-18808-Ljbffr
