Future Tech Jobs
Future Tech Jobs
As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications...
This role involves working with a leading property consultancy to build out their analytics capability, focusing on data modelling and problem-solving. You'll collaborate with stakeholders to shape problems, develop models, and transform analysis into actionable insights, with a strong emphasis on Python and advanced modelling techniques.
This role involves leading data-focused projects to identify financial crime and fraud risks, working closely with senior stakeholders. Responsibilities include analysing large datasets, improving monitoring processes, and translating insights into actionable recommendations. The position offers a blend of hands-on data work and strategic input, with exposure to a variety of clients and challenges.
This role involves leading the development of geospatial and movement intelligence products, owning the technical direction and roadmap for critical data product areas. You will work closely with engineering, product, and data science teams to build scalable datasets and production-grade models that improve operational efficiency and influence business performance.
The Data Science Manager will lead a team of Data Scientists, focusing on delivering measurable impact through advanced analytics and machine learning. Responsibilities include shaping the technical direction, translating complex outputs into commercial insights, and establishing best practices in experimentation and MLOps.
You will build and scale modern frontend applications using React, working closely with product, design, and engineering teams to deliver new platform capabilities. The role involves operating in a highly iterative, AI-enabled engineering environment, contributing to frontend architecture, and collaborating with backend engineers using Python and AWS.
As a Senior Data Platform Engineer, you will own and shape a modern data platform built on GCP, working closely with scientists, analysts, and engineers to turn complex workflows into robust, scalable systems. You will manage and extend a GCP-first platform, build internal applications using Python, FastAPI, and React, and ensure data quality, monitoring, and automation.
This role involves developing and maintaining machine learning models to address critical business challenges in underwriting, exploring and evaluating new types of data, and consulting on complex statistical test designs. The Data Scientist will work closely with business partners to drive innovation and sustainable growth.
This role involves developing and maintaining machine learning models to solve business problems and deliver actionable insights. You will work with large datasets, including Open Banking and Credit Bureau data, to generate new features and insights, and collaborate cross-functionally to drive sustainable growth.
This role involves developing and maintaining machine learning models to address critical business challenges in underwriting, exploring and evaluating new types of data, and consulting on complex statistical test design. The Data Scientist will work closely with business partners to drive innovation and sustainable growth.
This role involves developing and maintaining machine learning models to address critical business challenges in underwriting, working with complex data types like text, logs, and time series. The Data Scientist will collaborate closely with business partners to generate actionable insights and drive sustainable growth through advanced feature engineering and statistical analysis.
The Data Engineer will join a team supporting public sector organizations in developing and growing data and AI services. Responsibilities include setting up data platforms, performing ETL operations, ensuring data accuracy, and collaborating with clients to build tailored data engineering solutions.
This role involves hands-on development and deployment of AI, ML, and LLM-based technologies within a global SaaS platform. You will work closely with a 46-strong engineering team to integrate AI into product features, processes, and pricing models, with a focus on real-world applications and measurable outcomes.
This role involves building and testing high-quality code for an AI start-up focused on auditing and certification. You will collaborate closely with co-founders to solve complex architectural problems, integrate LLM tools, and work directly with design partners to create practical solutions.
As a Client Director for Global System Integrators (GSI) at NVIDIA, you will manage and evolve the business relationship with key GSIs in EMEA, focusing on AI-enabled services. You will work closely with GSI leadership to define strategies, enhance developer skills, and collaborate on joint GTM plans and PoCs.
