Future Tech Jobs
Future Tech Jobs
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 collaborating with leading research institutions on high-impact AI and robotics projects, championing NVIDIA's software platforms, and shaping strategic partnerships. The position requires significant research experience, publication records, and expertise in Physical AI and Robotics.
This role involves owning the AI and Surge Inference enablement strategy for EMEA, developing and delivering targeted enablement programs, and building strategic relationships with field leadership and AI stakeholders. The candidate will translate evolving AI capabilities into practical, field-ready programs and serve as the voice of the field on AI enablement needs.
Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business...
This role involves building and maintaining systems for high-quality reinforcement learning data, including data collection pipelines, human feedback tools, and execution environments. You will work closely with research teams, iterate on prompts, and ensure the quality and trustworthiness of training data, all while contributing to the broader mission of creating safe and beneficial AI systems.
This role involves designing and building data pipelines, warehousing solutions, and analytical tools to support the safety and trust efforts of Anthropic's AI systems. You will collaborate with engineers, data scientists, and policy teams to ensure robust data infrastructure for monitoring and preventing misuse of AI models.
As a Graduate Cloud Software Engineer, you will work on diverse projects involving cloud-based systems, AI, and rich UIs. You'll collaborate with multidisciplinary teams to deliver innovative solutions for high-profile clients, often tackling undefined problems and using the latest technologies like AWS, Azure, and Google Cloud.
This role involves leading and managing complex, multi-disciplinary projects for consumer clients, working closely with business developers and technical leads to identify and solve technology challenges. Responsibilities include developing project proposals, managing project delivery, and building and leading project teams, with a focus on innovation and client relationships.
The AI Accelerator Lead will establish and drive Ordnance Survey's AI Accelerator, focusing on rapid prototyping, capability building, and cross-functional collaboration. Key responsibilities include leading the design and operation of the AI Accelerator, exploring advanced AI techniques, and mentoring team members to foster a culture of responsible AI innovation.
You will work in a small, high-impact team to build a production-grade analytics platform from scratch, translating business requirements into production-ready features. Your role involves developing full stack applications, backend services, and AI/ML-driven functionality, with significant ownership and influence over the product's technical direction.
The Lead Data Scientist will drive the development and deployment of advanced data science models to improve customer segmentation, drive distribution decisions, and quantify customer lifetime value. This role involves technical leadership, mentoring a growing team, and partnering with senior commercial leaders to translate insights into actionable business decisions.
This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, applying best practices in MLOps and DevOps, and collaborate closely with product teams and senior leadership.
The Head of Software will lead a multidisciplinary team focusing on embedded software, DSP, FPGA, and AI/ML for defence projects. Responsibilities include managing project planning, driving continuous improvement, and contributing to technical sales activities.
This role involves hands-on development and deployment of Generative AI systems, from use-case discovery to production. You will work on greenfield projects, architect secure and scalable solutions, and contribute to building a new Centre of Excellence in GenAI. The role requires strong technical leadership, experience with RAG architectures, Hugging Face models, and cloud platforms like AWS and GCP.
The Applied AI Lead role involves leading the technical direction and development of AI products, managing a team of data scientists, and ensuring scalable and robust machine learning workflows. The role requires a strong background in Python, SQL, and deep learning libraries, with a focus on translating technical concepts to business stakeholders.
