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...
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 Software Engineer, you will work on the Frontier Decision Intelligence platform, focusing on building scalable, AI-focused solutions that empower organizations to make high-impact decisions. You will collaborate with cross-functional teams to design and implement core features, tackle complex real-world problems, and drive technical best practices.
As a Senior Data Scientist, you will lead high-impact AI projects, define data science approaches, design robust software architectures, mentor junior colleagues, and build deep client relationships. You will work on-site with Defence clients 2-4 days per week, with flexibility to work remotely or from the London office otherwise.
As a Principal Security Engineer, you will lead the integration of security practices into the CI/CD pipeline, conduct threat modeling and secure design reviews, and mentor engineering teams to foster a security-first culture. You'll work closely with cross-functional teams to ensure high-fidelity, multi-physics simulations are secure and scalable, contributing to the company's mission of accelerating hardware innovation.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will drive technical decisions, mentor team members, and travel to customer sites to build solutions on-site, ensuring practical and impactful outcomes.
This PhD studentship focuses on using machine learning to accelerate and scale the computation of electronic transport properties in complex materials. The project combines ML with DFT and Boltzmann transport methods, leveraging rich experimental data to validate models. Students will work in an interdisciplinary environment, collaborating with leading researchers and industry partners to address global challenges in materials science and beyond.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
REQ ID: FEQ227R147Location: London, UKRecruiter: Dina HussainAt Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data and AI...
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native...
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native...
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...
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 deploying sophisticated AI systems using large language models, developing RAG pipelines, vector search solutions, and agent-based workflows. You will work in a fast-paced, collaborative environment, focusing on building production-grade applications that deliver tangible real-world impact.
This role involves contributing to cutting-edge research and innovation in AI for manufacturing systems, working with academic and industrial partners on projects like AI-enabled manufacturing, digital twins, and intelligent automation. The position supports high-quality research, postgraduate supervision, and research-informed teaching within an interdisciplinary and industry-focused environment.
