Future Tech Jobs
Future Tech Jobs
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define...
As a Lead Data Scientist, you will set the technical direction for complex, business-critical projects, ensuring high-quality, scalable delivery. You will mentor cross-functional teams, manage client relationships, and drive innovation in a fast-growing AI company that works with global clients across various industries.
As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and implement scalable ML systems, and lead a team of engineers. You will work on diverse projects from AI strategy to client-side deployments, ensuring architectural decisions are sound and fostering team growth through mentoring and hiring.
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....
This is an open application for technical roles at Faculty, a company focused on responsible AI innovation across government, finance, retail, and other sectors. Candidates in engineering, data science, or DevOps can submit their CVs for future opportunities. The role emphasizes intellectual curiosity, technical excellence, and building real-world AI impact in a diverse, high-performing team.
This role involves working on human-centric AI solutions to deliver measurable impact for clients across sectors such as government, finance, and life sciences. The position emphasizes responsible AI innovation, deployment, and collaboration within a diverse, intellectually driven team. Work is focused on solving complex real-world problems using advanced technical and delivery expertise.
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the...
This role involves designing and delivering machine learning, generative AI, and large language model solutions to enhance customer experiences for major organisations. You'll lead or contribute to end-to-end data science projects—from discovery to deployment—while translating complex data insights into actionable business strategies. The position emphasizes collaboration with cross-functional teams and client-facing engagement to drive commercial impact through responsible AI.
This role involves leading end-to-end technical deployments of AI systems for enterprise customers, translating business goals into technical roadmaps, and driving adoption through close collaboration with customer teams. The Technical Deployment Lead operates at the intersection of engineering, product, and customer success, ensuring complex AI solutions are delivered on time and deliver measurable impact. It emphasizes prototyping, change management, and feeding real-world insights back into OpenAI’s product and research roadmap.
This role involves structuring and managing high-impact research programmes at the intersection of AI, chemistry, and biology, ensuring technically rigorous and policy-relevant outcomes. The Technical Programme Manager will work closely with researchers to define tractable projects, unblock progress, and coordinate with government partners on sensitive technical engagements. It is a unique position combining research strategy, technical coordination, and operational execution within a classified, high-stakes environment.
Train, debug, and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling and 3D reconstruction, to enhance model performance. Collaborate to address real-world driving challenges with a focus on measurable impact and shipping.
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 focuses on keeping Multiverse's coaching and instruction team at the forefront of AI advancements by identifying emerging trends, assessing team capabilities, and designing targeted training programmes. The AI Enablement Lead will curate and orchestrate quarterly enablement plans using internal and external resources, ensuring timely upskilling aligned with client needs. Success is measured by improved coach capability, effective AI delivery, and positive outcomes for apprentices and clients.
This role involves leading the design and implementation of high-rigor machine learning and analytical systems within a regulated financial services environment. The individual will define the AI/ML roadmap, develop production-grade models for anomaly detection, forecasting, and behavioral signals, and ensure models are explainable, reliable, and operationally sound. Close collaboration with engineering, data, and product teams is required to take models from concept to production, with ongoing monitoring and performance management.
