Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
This role involves deploying and optimizing CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, and troubleshoot AI-driven security workflows while providing technical leadership and customer support. The position emphasizes hands-on implementation, AI integration with existing security tools, and enhancing detection efficacy through advanced scripting and Falcon API utilization.
Lead the development and deployment of generative AI systems at scale within a cybersecurity context, focusing on LLMs and deep learning to enhance threat detection and response. Drive research strategy, mentor technical teams, and translate cutting-edge AI into production-grade solutions operating at planetary scale. Contribute to technical standards and represent the company through publications and thought leadership.
Lead the development of a cutting-edge AI assurance proposition for financial and professional services, leveraging Faculty AI's expertise in AI safety and regulatory engagement. Define reusable frameworks, tools, and evaluation methods to support audit, risk management, and compliance functions in highly regulated sectors. Drive client delivery, thought leadership, and commercial growth while shaping the future of responsible AI adoption.
Lead technical strategy and R&D in AI safety, building and mentoring a high-performing team focused on red teaming, model evaluation, and mitigation research for frontier AI systems. Drive thought leadership, publish in top-tier venues, and shape global AI safety practices in collaboration with leading labs and governments. Translate cutting-edge research into scalable, real-world safety solutions.
This role involves working closely with sales teams to provide technical expertise during the pre-sales process, focusing on Databricks' Data Intelligence Platform. The engineer will engage with clients through hands-on demonstrations, Spark programming, and solution design, helping them solve complex data and AI challenges. Responsibilities include building reference architectures, delivering technical presentations, and participating in customer workshops across industries like financial services, retail, and media.
This role involves a 12-week training programme in threat detection and incident investigation using the Darktrace platform, followed by hands-on work on the Cyber AI Analyst product. You'll develop AI-driven hypotheses to automate security analysis across networks, email, and cloud environments, collaborating with machine learning and software engineering teams to research, deploy, and refine detection models based on real-world feedback.
This role involves developing high-fidelity computational plasma models for semiconductor manufacturing processes such as plasma etching, deposition, and surface interactions. The engineer will work directly with customers—often on-site—to define challenges, validate simulations against real-world data, and integrate models into AI-driven workflows. Collaboration with data scientists and ML engineers is central, with an emphasis on delivering practical, impactful solutions in a hybrid working environment.
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 PhD studentship focuses on developing a human-centred AI decision support system for sustainable agriculture, using multimodal data including sensor inputs and farming practices. The project aims to deliver individualised, actionable insights to farmers to improve profitability and environmental outcomes. Work will be conducted in collaboration with Hutchinsons and LEAF, leveraging real-world data and expertise in agritech.
Design and deploy production-grade generative AI applications in close collaboration with customers and internal teams. Focus on implementing cutting-edge GenAI solutions such as RAG, multi-agent systems, and fine-tuned models using frameworks like LangChain and HuggingFace. Work across the full lifecycle from prototyping to deployment, leveraging cloud platforms and advising on best practices in LLMOps and MLOps.
Lead and scale a team of applied scientists focused on advancing AI-driven identity verification and fraud detection systems. Define technical strategy, drive research into production, and shape product direction through close collaboration with engineering, product, and global customers. Champion responsible AI practices including fairness, explainability, and regulatory compliance in biometric systems.
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...
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...
