Future Tech Jobs
Future Tech Jobs
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, multi-GPU scaling, and HPC techniques. You will work closely with customer and partner engineering teams to deliver measurable performance improvements and support deployment in production environments.
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance, memory management, and multi-GPU scaling. You will work closely with customers, partners, and internal teams to deliver significant performance improvements and develop reference implementations.
As a Senior CFD Engineer, you will work closely with Data Scientists, Machine Learning Engineers, and customers to build and deliver high-fidelity multi-physics simulations. Your role involves creating complex models, integrating experimental data, and optimizing workflows using AI and HPC resources. You will also mentor junior colleagues and travel globally to support customers on-site.
As a Senior FEA Engineer, you will work closely with Data Scientists and Machine Learning Engineers to deliver high-fidelity simulations and address complex engineering challenges. Your role involves building and optimizing FEA models, integrating them with AI tools, and collaborating with customers to ensure practical and impactful solutions.
As a Lead Data Scientist, you will set the technical direction for complex, business-critical projects, ensuring high-quality, scalable delivery. You will mentor cross-functional teams, manage client relationships, and drive innovation in a fast-growing AI consultancy that works with global clients across various industries.
The Engineering Team Manager will oversee engineering shift activities in a 24/7 Customer Fulfillment Center, focusing on safety, performance, and team development. Key responsibilities include leading safety meetings, managing KPIs, and collaborating with other teams to optimize operations and maintain high uptime.
As a Research Data Scientist at dunnhumby, you will work on developing and implementing advanced machine learning and statistical techniques to solve complex business problems. Your day-to-day responsibilities will include creating new science-based solutions, performing data analysis, and collaborating with cross-functional teams to deliver innovative solutions for global retailers and brands.
This role involves developing algorithms for spatial data correlation and fusion, analysing multi-sensor datasets, and building machine learning models for classification, regression, and tracking. You will work closely with engineers to deploy models into production systems and focus on real-world problem-solving.
This role involves developing and deploying computer vision models for real-world applications, focusing on object detection and classification from image and video data. You will work closely with software and engineering teams to handle large datasets, optimise pipelines, and improve model performance in challenging scenarios.
This role involves applying advanced computational and statistical methods to analyse high-dimensional biological datasets, particularly in single-cell and spatial omics. You will collaborate closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable insights for disease understanding and drug discovery.
As a Senior Data Scientist on the Turing team, you will develop and deploy AI systems, including large language models and agentic workflows, to accelerate scientific discovery. You will work with diverse biomedical datasets, collaborate with biologists and engineers, and contribute to the development of new computational methods for drug discovery.
Senior Data Analytics Consultant – Fraud & InvestigationsAbout the OpportunityWe are partnering with a leading global organisation to recruit a fraud data analytics specialist.The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning,...
This role involves leading the development and deployment of advanced deep learning models to enhance credit underwriting systems at Capital One. The candidate will work with non-traditional and multi-modal data, building neural networks such as LSTMs, RNNs, and Transformers to improve predictive accuracy. They will bridge research and production by collaborating with stakeholders and guiding models from prototype to market impact.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities. You will work with non-traditional datasets, build sophisticated neural networks, and collaborate with business stakeholders to drive initiatives from prototypes to production. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves designing and building Generative AI and LLM-based solutions for synthetic data generation and data augmentation. You will work closely with Product and Engineering to take models from experimentation to production, ensuring data quality and reliability, and communicating technical concepts to non-technical stakeholders.
