Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
This role involves leading client engagements for an AI company that automates regulatory and operational reporting for financial and energy markets. Responsibilities include scoping requirements, defining delivery plans, and translating business needs into technical direction. The role is highly client-facing and requires strong AI literacy and near-native French proficiency.
As an Applied AI Engineer, you will work directly with enterprise clients to build advanced AI solutions, ranging from cybersecurity to journalism and genomics. Your role involves gathering business requirements, translating them into technical solutions, and optimizing AI models to meet client needs. You will collaborate with cross-functional teams, write production code, and leverage the Scale Generative Platform (SGP) to develop cutting-edge AI agents.
Leads and develops an AI engineering team, shaping technical standards and delivering scalable AI solutions in production environments. Combines strategic leadership with hands-on technical work, including mentoring engineers and guiding AI architecture. Engages with clients and stakeholders to design and deploy modern AI systems using cloud platforms and agentic technologies.
The Lead AI Engineer will design, develop, and deploy AI-driven solutions within a Microsoft Azure environment, working closely with software engineers, data specialists, and product teams. The role involves integrating Azure AI, Microsoft CoPilot, and Model Context Protocol into existing business systems, with a focus on improving performance, efficiency, and user experience.
Multiverse is the upskilling platform for AI and Tech adoption.We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.Our upskilling apprenticeships are designed for people of any age and career stage to build...
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing advanced analytics and AI solutions. You will work closely with analysts and stakeholders to translate requirements into robust, production-ready solutions, ensuring data quality and performance.
As a Data & AI Engineer, you will design and build scalable data pipelines, integrate data from multiple sources, and develop advanced analytics and AI solutions. You will collaborate with analysts and stakeholders to deliver high-impact, production-ready solutions, ensuring data quality and performance.
This role involves leading the development of production-grade AI systems, designing APIs, and shaping deployment processes in a fast-growing, well-funded startup. You'll work closely with clients to deliver real-world solutions, influence the engineering culture, and contribute to the team's growth and technical direction.
This role involves building and maintaining a full-stack application using Next.js, React, and TypeScript, while working closely with AI engineers to integrate and optimize LLMs and AI APIs. You'll also manage cloud infrastructure on GCP and contribute to the platform's technical direction.
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....
This role involves designing and deploying advanced LLM and GenAI solutions, optimizing prompt engineering, and integrating AI into enterprise systems. You will work closely with data teams to build scalable and secure applications, ensuring they are production-ready and aligned with business needs.
As a Senior Platform Engineer, you will be responsible for designing and maintaining the cloud infrastructure and CI/CD pipelines that support our AI-driven products. Your role involves implementing robust monitoring and operational controls for AI/ML systems, ensuring high performance, security, and compliance with industry standards.
As an MLOps Engineer, you will be responsible for designing and maintaining the cloud infrastructure and CI/CD pipelines that support our AI-driven products. Your key responsibilities include implementing model monitoring, building robust ML pipelines, and ensuring compliance with data governance and security standards.
