Future Tech Jobs
Future Tech Jobs
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build advanced models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
As a Senior Software Engineer on the data engineering team, you will work on building and maintaining ultra-high-scale data platforms that process petabytes of data. Your responsibilities will include writing fault-tolerant Java code within Apache Spark, designing scalable data pipelines, and improving the efficiency and latency of high-performance services. You will also research and implement new ways to query data efficiently and provide insights into active threat trends.
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.
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....
Design and build AI agents on Google Cloud using Vertex AI, GKE, and other GCP services, integrating with enterprise systems securely. Lead engineering teams, set technical direction, and establish standards for scalable, compliant AI solutions in a regulated environment. Focus on agentic AI, model evaluation, and modern engineering practices like CI/CD and SRE.
This role involves designing and maintaining cloud-native infrastructure and Kubernetes environments to support large-scale AI and machine learning workloads. You'll use Terraform for Infrastructure as Code and collaborate closely with engineering and data science teams to optimise deployment workflows and platform performance. The position focuses on building scalable, secure, and observable platforms for AI in a high-visibility environment.
This role involves integrating AI and machine learning capabilities into mature enterprise SaaS products, with a focus on anomaly detection, predictive analytics, and production-grade MLOps. The engineer will work closely with product and engineering teams to design and deploy REST APIs, implement model monitoring, and contribute to a structured product roadmap. The position emphasizes technical delivery within compliance-aware and governance-oriented enterprise environments.
This DevOps Engineer role involves building and improving CI/CD pipelines, automating infrastructure with IaC, and supporting Azure cloud and AKS environments. You'll work within a high-performing engineering team to enhance platform reliability, observability, and automation at enterprise scale. The role focuses on cloud-native infrastructure, modern DevOps practices, and upcoming initiatives like GitHub migration and AI-assisted tooling.
This role involves designing, developing, and deploying advanced robotics software for real-world industrial applications. You'll work closely with multidisciplinary teams to integrate perception, planning, control, and autonomous behaviors, ensuring robust and reliable systems. The position offers opportunities for technical leadership and mentorship.
Design and deploy AI-driven solutions for robotic and autonomous systems, integrating machine learning, computer vision, and generative AI technologies. Develop scalable cloud-based services and intelligent automation workflows in collaboration with multidisciplinary engineering teams. Focus on real-world applications using LLMs, sensor fusion, and emerging AI frameworks within a modern, agile environment.
This role involves designing, developing, and maintaining end-to-end AI solutions, including front-end interfaces, back-end services, and data pipelines. The AI Engineer will work closely with data scientists, engineers, and business stakeholders to deliver scalable, secure, and impactful AI systems, with a focus on Generative AI, Agentic AI, and machine learning.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
This role involves defining and developing end-to-end software architecture for advanced vehicle automation and robotic systems, with a focus on safety-critical real-time software. You will lead the design of computer vision, sensor integration, digital twin, and simulation systems while establishing robust CI/CD pipelines. Close collaboration with cross-functional engineering teams ensures seamless embedding of software into physical hardware within a high-integrity R&D environment.
As a Software Engineering Manager, you will lead and develop a team of software engineers, establish engineering best practices, and drive the adoption of AI tooling and intelligent automation. You will work closely with product, architecture, and executive leadership to build innovative AI-driven platforms for the construction industry.
