Future Tech Jobs
Future Tech Jobs
You will design, maintain, and scale IT infrastructure, lead advanced troubleshooting, automate workflows, and implement security controls. You'll also mentor junior engineers and propose new tools to enhance efficiency and scalability.
This role involves owning the product release process, from planning to execution, ensuring smooth communication and coordination between Product, Marketing, and GTM teams. Responsibilities include centralizing the product roadmap, defining release readiness processes, and building scalable systems to enhance launch efficiency and impact.
Leads technical strategy and R&D in AI safety, building high-impact red teaming, evaluation, and mitigation systems for frontier AI models. Directs a world-class research team, drives scientific publications, and shapes global safety standards in collaboration with leading labs and governments. Focuses on alignment, robustness, and societal risk mitigation in large language models.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
As a Delivery Solutions Architect at Databricks, you will collaborate with sales and field engineering teams to accelerate the adoption and growth of the Databricks platform. You will lead the technical strategy and execution for key customers, ensuring their success and maximizing the value they derive from Databricks. This role involves both technical and commercial responsibilities, requiring strong technical skills and the ability to build executive relationships.
The Deployment Strategist role involves partnering with sales to build C-suite trust, performing deep discovery to map the customer's organization, and defining the value and scope of AI projects. You will act as the product manager for the customer's problem, guiding the project from initial scoping to successful delivery and adoption.
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
Designs and refines AI and data science learning programmes using backward design and real-world outcomes, ensuring content is both pedagogically sound and career-impacting. Acts as a human-in-the-loop in an AI-assisted content pipeline, improving AI-generated material and creating high-touch learning experiences for apprentices. Works iteratively to improve curricula based on learner performance and stakeholder feedback.
The Customer Director will lead AI transformation programmes for professional services firms, building trusted relationships with C-suite leaders and driving high-value growth. They will shape Faculty's go-to-market strategy, deliver strategic advice, and manage multidisciplinary teams to ensure successful client outcomes.
This role involves designing and operating a Kubernetes-based MLOps platform that supports the full machine learning model lifecycle, from experimentation to scalable inference. The engineer will enable data scientists and ML teams with robust, secure, and user-friendly tooling while ensuring platform reliability, security, and operational excellence in production environments. It combines deep technical delivery with cross-functional collaboration to build platforms that support both traditional ML and LLM workloads.
Leads the design, prototyping, and deployment of AI agents and intelligent automation solutions across enterprise functions. Works cross-functionally to translate business needs into scalable AI workflows, emphasizing responsible AI, governance, and practical implementation. Focuses on adoption, reusable frameworks, and measuring real business impact.
Design and scale batch and real-time data pipelines in Google Cloud, ensuring robust data quality and system observability. Collaborate with data scientists and engineers to support MLOps and modern data infrastructure. Work across a full-stack cloud environment with cutting-edge tooling and high engineering standards.
The role involves leading the Data Platform team to develop and maintain a unified data platform that integrates wet and dry labs, ensuring reliable data flow and processing. Responsibilities include defining the data platform strategy, managing a team of data engineers, optimizing scientific compute pipelines, and enforcing data governance standards.
