Faculty (faculty.ai)

HQ
London
663 Total Employees
Year Founded: 2014

Faculty (faculty.ai) Benefits Overview

Compensation + Benefits

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers generous parental leave

Provides a pension

Career Growth + Development

Provides customized development tracks

Job training & conferences

Offers apprenticeship programs

Company Culture

Offers a remote work program

Provides free snacks and drinks

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers sabbatical leave

Offers unpaid extended leave

Provides bereavement leave

Offers gym membership

9 Hours AgoSaved
Hybrid
London, England, GBR
Artificial Intelligence • Machine Learning • Big Data Analytics
Supports the delivery of bespoke AI transformation projects for retail and consumer clients. Responsibilities include managing workstreams, gathering stakeholder and user needs, conducting open-source analysis, translating operational requirements into user stories, designing and testing workflows, collaborating with engineering teams, and contributing to strategy and internal capability development.
13 Hours AgoSaved
Hybrid
London, England, GBR
Artificial Intelligence • Machine Learning • Big Data Analytics
Lead the design, development, and deployment of scalable, production-grade machine learning systems for diverse clients. Define ML deployment standards, make architectural decisions, collaborate with technical and commercial teams, advise customers, and mentor junior engineers. The role requires strong Python and software engineering expertise, experience operationalizing TensorFlow or PyTorch models, cloud architecture, security, infrastructure, Docker, and Kubernetes.
2 Days AgoSaved
In-Office
London, England, GBR
Artificial Intelligence • Machine Learning • Big Data Analytics
Supports the scoping, development, and delivery of bespoke AI projects for pharmaceutical clients. Responsibilities include managing workstreams, understanding stakeholder needs, conducting open-source analysis, translating operational requirements into user stories, designing and testing workflows, collaborating with engineering teams, and contributing to strategy and thought leadership.