About Faculty
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.
About the team
Bringing medicine to patients is complex expensive and high-risk. Facultys Life Sciences team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.
We partner with major pharma firms academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges and help to democratize health for all.
About the role
Were looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design build and deploy robust secure and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows. Working in a cross-functional team youll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively shaping the future of AI solutions.
What youll be doing:
Building robust secure and scalable cloud infrastructure for AI and ML workflows.
Partnering with technical and non-technical stakeholders from initial idea generation through to implementation and shipping.
Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices standards and reusable code repos.
Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges.
Creating and maintaining reusable company-wide libraries and infrastructure-as-code.
Researching and integrating the best open-source technologies to enhance Facultys infrastructure capabilities.
Who were looking for:
You are pragmatic and outcome-focused balancing the big picture with the details to execute complex projects in the real world.
You think scientifically always testing assumptions seeking evidence and looking for opportunities to improve how things are done.
You have a drive to learn constantly exploring new technologies and novel applications for existing tools.
You possess deep experience with at least one major cloud provider (AWS Azure or GCP) and Infrastructure as Code especially Terraform.
You are experienced in building and deploying containerized solutions using Docker and Kubernetes supported by strong CI/CD and GitOps practices.
You possess proficient knowledge of Networking and Cloud Security
You excel at working directly with clients and stakeholders confidently handling requirements gathering technical planning and scoping.
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.
About FacultyAt 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...
About Faculty
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.
About the team
Bringing medicine to patients is complex expensive and high-risk. Facultys Life Sciences team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.
We partner with major pharma firms academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges and help to democratize health for all.
About the role
Were looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design build and deploy robust secure and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows. Working in a cross-functional team youll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively shaping the future of AI solutions.
What youll be doing:
Building robust secure and scalable cloud infrastructure for AI and ML workflows.
Partnering with technical and non-technical stakeholders from initial idea generation through to implementation and shipping.
Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices standards and reusable code repos.
Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges.
Creating and maintaining reusable company-wide libraries and infrastructure-as-code.
Researching and integrating the best open-source technologies to enhance Facultys infrastructure capabilities.
Who were looking for:
You are pragmatic and outcome-focused balancing the big picture with the details to execute complex projects in the real world.
You think scientifically always testing assumptions seeking evidence and looking for opportunities to improve how things are done.
You have a drive to learn constantly exploring new technologies and novel applications for existing tools.
You possess deep experience with at least one major cloud provider (AWS Azure or GCP) and Infrastructure as Code especially Terraform.
You are experienced in building and deploying containerized solutions using Docker and Kubernetes supported by strong CI/CD and GitOps practices.
You possess proficient knowledge of Networking and Cloud Security
You excel at working directly with clients and stakeholders confidently handling requirements gathering technical planning and scoping.
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.
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