Future Tech Jobs
Future Tech Jobs
This role involves working with leading ISVs and M&E organizations to build AI platforms for video content creation and analysis. Responsibilities include driving technology adoption, leading PoCs, and optimizing AI techniques across diverse environments, from Edge devices to Cloud deployments.
As a Solution Architect in NVIDIA’s EMEA Media & Entertainment team, you will work closely with leading ISVs and M&E organizations to build AI platforms that enhance video content creation and analysis. Your responsibilities include driving technology adoption, designing scalable inference solutions, and leading customer PoCs for complex use cases like video summarization and generative AI workflows.
As a Data & Machine Learning Engineer, you will build and maintain scalable data pipelines, develop and deploy machine learning models, and work with cloud-based data platforms. You will collaborate with engineers, analysts, and stakeholders to deliver end-to-end solutions, focusing on good engineering practices and continuous improvement.
This role involves developing and maintaining data engineering and prediction tools for systematic equities trading. You will work closely with the Senior Portfolio Manager and quantitative research team to build robust data pipelines, validate data integrity, and implement large-scale computational systems.
This role involves leading the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. The engineer will drive technical architecture, build scalable ML infrastructure, and ensure ethical and operational standards are met. Collaboration with cross-functional teams and mentoring junior engineers are key aspects of the position.
This role involves building and deploying AI-driven physics simulation applications in collaboration with customers, data scientists, and engineers. You'll design full-stack solutions, develop RESTful APIs to serve large physics models, and work on-site with clients globally to solve complex engineering challenges. The position emphasizes end-to-end ownership, rapid prototyping, and translating real-world engineering problems into impactful software tools.
This role involves leading machine learning engineering efforts within a research context, focusing on transforming experimental models into scalable, production-grade systems for physics-informed AI simulations. The engineer will work closely with research scientists to design and optimise distributed training architectures, build foundation models, and deliver robust ML solutions for complex engineering problems. A strong emphasis is placed on mentorship, technical leadership, and translating cutting-edge research into reusable software tools and products.
About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact.Within OpenAI, the Go-to-Market organization helps...
This role involves leading the strategic direction and operational excellence of the Platform teams, which are crucial for training and serving large-scale machine learning models in biotech. You will define the long-term vision, mentor a diverse team, and ensure robust, scalable, and developer-friendly services across multiple disciplines.
As a Staff Data Platform Engineer, you will lead the design and implementation of Wayve's Data Transfer Hub, a mission-critical system that ingests petabytes of sensor data daily from global partners. You'll work with technologies like Flyte, Kafka, and Azure, and collaborate closely with data partners like Uber and Nissan to ensure reliable and scalable data transfer.
This role involves developing and optimizing advanced robotic manipulation systems for large-scale grocery automation. You'll work on sensor-driven robotics, integrating machine learning and AI to enhance robot decision-making and error recovery in physical environments. The role emphasizes robust software engineering, cross-functional collaboration, and mentoring within an Agile, production-focused team.
You will develop and operate a high-performance inference platform to serve cutting-edge AI models for drug discovery. The role involves scaling ML infrastructure, optimizing model serving performance, and collaborating closely with research and applied ML teams. Work focuses on reliability, scalability, and integration of large-scale AI systems in a biotech environment.
This role involves leading the architecture and development of full-stack platforms that deliver AI-driven insights to clients in highly regulated industries. You'll bridge data science and production software, building scalable systems using TypeScript, Python, and cloud technologies. The position emphasizes technical leadership, mentoring engineers, and translating complex business problems into robust, deployable solutions.
This role can be based in Amsterdam, Madrid, Munich, Milan, Paris, Stockholm, Zurich, or London.Would you like to help the largest Private Equity (PE) firms and their portfolio companies leverage new technologies to improve their operations? Would you like to...
This role involves leading the design and implementation of resilient full-stack features in a high-pressure operational environment. The engineer will integrate AI tools into development workflows, ensure system reliability under unstable network conditions, and drive best practices in testing, security, and observability across React, TypeScript, Java, and Spring Boot systems.
