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 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 role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and modern ML frameworks to extract actionable insights and drive sustainable growth.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive impactful projects. The position requires strong experience in deep learning, model development, and working with large datasets.
Join us at EntrustAt Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.Get...
As a Senior CFD Engineer, you will work closely with Data Scientists and Machine Learning Engineers to build and deliver high-fidelity multi-physics simulations. Your responsibilities include creating complex models, integrating experimental data, and collaborating with customers to solve their engineering challenges using advanced CAE and AI solutions. You will also travel globally to work on-site with clients and mentor junior colleagues.
This role involves developing high-fidelity multiphase CFD models for industrial and process engineering applications, with a focus on bioprocess and chemical systems. The engineer will lead end-to-end simulation workflows, integrating CFD with AI/ML, experimental validation, and design optimisation, while working closely with clients to solve complex engineering challenges. Key responsibilities include advanced meshing, surrogate modelling, and building scalable data pipelines for AI-driven engineering solutions.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing AI and machine learning models. You will work closely with analysts and business stakeholders to translate requirements into robust technical solutions, while contributing to data quality, governance, and performance optimization.
This role involves building production-grade AI solutions and intelligent workflows for financial services, working with LLMs, RAG pipelines, and scalable backend services. You will collaborate with engineering, architecture, and business teams to deploy and govern AI systems in a regulated environment.
This role involves building production-grade AI solutions for financial services, including platforms for risk, fraud, and automation. You will work with LLMs, RAG pipelines, and scalable backend services, collaborating across engineering, architecture, and business teams.
This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.
As an AI Deployment Engineer, you will be responsible for building and maintaining the data infrastructure and system integrations that support AI deployments. You will work on data pipelines, API integrations, and production-grade solutions, ensuring reliable and scalable AI operations.
This role involves leading the development of production-grade AI systems, designing APIs, and shaping deployment processes in a fast-growing, well-funded startup. You'll work closely with clients to deliver real-world solutions, influence the engineering culture, and contribute to the team's growth and technical direction.
