Future Tech Jobs
Future Tech Jobs
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
At NVIDIA, our employees are passionate about Artificial Intelligence, accelerated computing, and the transformation of industries through software and AI. We are seeking a highly technical and strategic Senior Developer Relations Manager – Manufacturing (EMEA) to engage and grow the...
The AI Deployment Strategist will partner with business units to identify and scope high-impact AI and automation opportunities, lead discovery and scoping sessions, and build and deploy AI solutions. You will work across teams like ops, finance, sales, and support, translating business problems into working AI solutions and driving adoption.
This role involves leading a team of data scientists to develop and deploy machine learning models that solve complex retail challenges like demand forecasting and routing optimization. The manager will mentor the team, collaborate with product and engineering, and ensure the technical quality and business value of ML systems.
This role involves leading a team of data scientists in developing and deploying machine learning models for logistics and retail challenges. The Data Science Lead will manage the entire ML lifecycle, from research to production, while mentoring the team and collaborating with product and engineering.
As a Technical Product Manager for Wayve's L4 autonomous driving solutions, you will lead the development and deployment of cutting-edge AV features. You will work closely with cross-functional teams to translate embodied AI and end-to-end learning into market-ready products, ensuring safety and user satisfaction.
This role involves designing, developing, and maintaining scalable backend services and APIs using Python. You will work closely with architects, product teams, and engineers to deliver high-quality solutions in a fast-paced Agile environment, with a focus on cloud-native development and CI/CD pipelines.
This role involves owning the product roadmap and execution for critical defense and national security products, working closely with engineering and ML teams. You will design and ship AI-powered solutions, navigate unique defense constraints, and engage with senior technical and government stakeholders.
Computational Protein DesignerThe opportunityWe are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst...
This role involves building AI-driven features like personal assistants and chatbots, developing user-focused and backend solutions using deep learning, and collaborating with cross-functional teams to solve complex deep learning challenges. The focus is on integrating cutting-edge AI technologies to drive innovation and improve customer experience at Revolut.
As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.
The Intelligence Analyst Intern will work with the Applied Research Cell (ARC) on projects involving malware analysis, threat intelligence, and tool development. The role involves hands-on research, learning cybersecurity concepts, and collaborating with experienced professionals to track advanced threat actors and prevent breaches.
The Intelligence Analyst Intern will work with the Applied Research Cell (ARC) on projects involving malware analysis, threat intelligence, and tool development. Interns will conduct open-source research, learn about threat actor TTPs, and integrate tools into malware processing pipelines, gaining hands-on experience in cybersecurity.
This fellowship programme helps academics transition into data science careers through intensive training and a six-week project with a company. Fellows gain practical experience applying AI in real-world scenarios, culminating in a Demo Day to showcase their work and network with industry professionals.
As a Senior Data Scientist at Multiverse, you will own the development and deployment of machine learning models that drive critical business decisions. You will work closely with stakeholders across the company to translate complex business questions into robust, production-grade models, and collaborate with Data Engineers to build and maintain the necessary infrastructure.
