Future Tech Jobs
Future Tech Jobs
We are looking to hire a CPU Compiler Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and HPC workloads: https://www.nvidia.com/en-in/data-center/grace-cpu/. Our compiler...
This role involves designing and optimizing compiler software for NVIDIA's Grace CPUs, focusing on performance improvements for AI and HPC workloads. The engineer will contribute to the upstream GNU Toolchain, collaborate with open-source communities, and work closely with architecture teams on next-generation CPU development. The position emphasizes deep technical work in compiler infrastructure and systems software within a globally distributed team.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work with Open Banking and Credit Bureau data, perform feature engineering, and collaborate cross-functionally to drive innovation and growth.
This role involves developing and maintaining machine learning models to solve business problems and generate insights from complex data. You will work closely with business partners, focusing on feature engineering, data analysis, and statistical test design to drive innovation and growth in the financial services market.
As an AI Engineer - FDE, you will work closely with customers to develop and deploy cutting-edge GenAI solutions, leveraging the latest techniques and tools. You will also collaborate with internal teams to shape strategic priorities and present at industry conferences, serving as a thought leader in the field.
As a Senior Software Engineer on the Core Services team, you will design and build robust authentication, authorization, and access control systems for a multi-tenant AI-driven simulation platform. Your work will focus on creating secure, fine-grained permissions, identity management, and observability infrastructure to support regulated industries and enable secure collaboration among data scientists and simulation engineers.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
In this role, you will design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You will work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, ensuring safety, reliability, and interpretability.
This role involves leading the development and deployment of advanced AI solutions, particularly in computer vision and large language models. You will guide the team in building production-ready ML pipelines on Azure, ensuring scalability and alignment with business goals.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance in complex real-world environments.
This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance on a variety of projects.
This role involves developing Python-based applications for testing, calibration, and production support, designing computer vision solutions using OpenCV, and interfacing with hardware devices. You'll work closely with engineering and manufacturing teams to improve efficiency and traceability across the business.
As a Machine Learning Engineer, you will design and build intelligent AI agents capable of autonomous task execution using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust ETL/ELT pipelines, all while maintaining ethical AI practices and optimizing for performance in a high-stakes insurance and fintech environment.
As an MLOps Engineer, you will be responsible for designing and maintaining the cloud infrastructure and CI/CD pipelines that support our AI-driven products. Your key responsibilities include implementing model monitoring, building robust ML pipelines, and ensuring compliance with data governance and security standards.
This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.
