Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
This role involves developing and enhancing backend microservices for a globally distributed, scalable cloud platform that identifies exposed internet-facing assets. The engineer will work on fault-tolerant systems using Golang and Python, contribute to architecture improvements, and collaborate in an agile environment. The position emphasizes high-quality coding practices, system stability, and mentoring within a security-focused engineering team.
This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing. The Principal Data Scientist will lead technical initiatives, design deep learning architectures, and integrate predictive models with simulation systems. They will work closely with cross-functional teams and customers to solve complex engineering challenges, mentor junior staff, and drive R&D innovation across global sites.
This role involves building and maintaining MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and edge devices. The engineer will optimise inference, manage model registries, and develop CI/CD and monitoring pipelines while working closely with research and software teams. The position requires strong hands-on skills in Python, containerisation, and GPU-accelerated systems, particularly NVIDIA Jetson platforms.
Develop and scale Unreal Engine 5 applications to generate synthetic imagery for training AI and computer vision models. Collaborate with AI researchers and engineers to automate rendering workflows, improve scene generation, and build production-grade software for secure deployment. Work across technical and non-technical teams to create intuitive tools for scalable synthetic data pipelines.
This role involves designing and building secure platforms to protect enterprise Generative AI and Large Language Model (LLM) applications from emerging threats such as prompt injection and adversarial inputs. The engineer will develop automated security testing frameworks, create robust APIs, and contribute to cloud-native, distributed systems operating at scale. Collaboration with global engineering, cybersecurity, and operations teams is central, with an emphasis on shaping secure AI adoption through resilient software design and best practices in AI security and DevSecOps.
This role involves designing, training, and deploying computer vision models, working across the full machine learning lifecycle. You will build production-ready systems, evaluate model performance, and contribute to technical decisions across various projects, collaborating closely with engineers, data scientists, and domain experts.
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.
About the Role:We are seeking a motivated and technically skilled AI Machine Learning Engineer to join our growing team based in Central London. This is an exciting opportunity for someone passionate about artificial intelligence and data-driven solutions to contribute to...
This role involves developing automated data analysis workflows and applying NLP, text mining, and AI techniques to extract insights from biomedical literature and scientific datasets. The Junior Data Scientist will support drug discovery initiatives by building content analytics pipelines and collaborating with cross-functional R&D teams. The position emphasizes data governance, responsible AI, and transforming complex scientific information into actionable intelligence.
This role involves designing and deploying a proprietary Skills Matching Index using algorithmic and NLP techniques to align employee skills with job vacancies and strategic workforce needs. The data scientist will build recommendation and optimization models that factor in skills, geography, and operational costs to improve talent deployment. Emphasis is placed on statistical rigor, bias mitigation, and transparent communication of model logic to leadership.
This role involves building and maintaining a secure, scalable AI platform infrastructure, focusing on CI/CD pipelines, containerised workloads, and platform reliability. You'll collaborate with data science and engineering teams to deploy and support AI agents, using cloud-native technologies and Infrastructure as Code. The position emphasizes automation, observability, and performance optimisation in a high-availability environment.
Lead the strategic and technical development of cutting-edge Generative AI solutions, including a proprietary RAG-based conversational agent, across a global services group. Drive end-to-end design, deployment, and optimisation of LLM pipelines and AI agents on large, complex datasets while mentoring engineering teams and shaping the future of AI-powered client engagement.
The role involves using advanced data science techniques to solve complex business problems in a retail environment. The Senior Data Scientist will develop predictive models, apply machine learning, and collaborate with stakeholders across domains such as pricing, supply chain, and marketing. Emphasis is placed on prototyping solutions, algorithm design, and communicating insights to both technical and non-technical audiences.
