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. You'll collaborate with AI researchers and leaders 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 future-proof models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
This role involves collaborating with public sector clients to build and deploy full-stack AI applications that solve complex challenges. Responsibilities include scoping projects, architecting production-grade applications, managing cloud infrastructure, and working closely with design, product, and data teams.
This role involves leading the technical strategy for public sector AI projects, converting mission requirements into robust architectural roadmaps, and guiding on-site implementation. You will architect production-grade AI applications, ensure cloud infrastructure security and scalability, and mentor senior and junior staff to align with a cohesive technical vision.
The role involves developing and maintaining digital legal tools using low-code platforms and AI technologies to streamline legal processes. You'll work closely with lawyers to translate business needs into scalable technical solutions, enhance AI-driven services, and ensure compliance with data and security standards. The position emphasizes innovation in legal tech, with a focus on prototyping, workflow design, and integration of LLMs into existing systems.
This role involves deploying and maintaining Thought Machine's cutting-edge banking software, developing automation tools, and integrating with third-party infrastructure. The position focuses on building scalable, reliable systems and improving observability and disaster recovery processes.
The role involves developing and optimizing machine learning models for personalized recommendations, working with large-scale data pipelines, and deploying models in production. You will collaborate with data scientists, engineers, and product managers to enhance the Machine Learning Platform and drive innovation in recommendation systems.
This role involves developing and optimizing machine learning models for personalized content recommendations, working with large-scale data pipelines, and deploying models in production. The successful candidate will collaborate with cross-functional teams to enhance the Machine Learning Platform and drive innovation in recommendation systems.
As a Senior Software Engineer, you will join a dedicated team building and scaling technology for global eye care programs. Your responsibilities will include full-stack development, infrastructure management, and collaborating with product teams to deliver robust, scalable solutions that have a real-world impact.
This role involves working at the cutting edge of AI to develop and prototype solutions for real-world public sector problems. Responsibilities include rapid prototyping, model development, applied AI research, and translating ambiguous requirements into technical solutions. The team operates in a fast-paced, innovative environment with a focus on public impact.
This role involves leading the development of embedded firmware and algorithms for touch sensing products. Responsibilities include defining software architecture, managing project delivery, mentoring engineers, and collaborating with multidisciplinary teams. The position requires strong technical skills in embedded C, debugging, and algorithm development, with a focus on delivering high-quality solutions.
This role involves designing, building, and operating cloud-native AI platform infrastructure across AWS and Databricks. Responsibilities include deploying and scaling containerised services, managing CI/CD pipelines, and implementing observability and security measures for AI workloads.
This role involves managing large-scale AWS and Azure cloud environments, focusing on automation, security, and operational excellence. Key responsibilities include leading disaster recovery efforts, automating infrastructure with Terraform and PowerShell, and collaborating with security teams to ensure compliance.
The Lead Engineer role in the AI Productivity Lab involves accelerating employee productivity and process automation through cutting-edge agentic co-working technologies. Responsibilities include building domain-specific agents, prototyping solutions, and collaborating with business teams to embed AI-driven tools into daily operations.
The role involves working with a multidisciplinary team to study high-impact societal risks caused by advanced AI deployment. Responsibilities include designing and implementing experiments, building data pipelines, and evaluating AI models to inform mitigation strategies.
