Future Tech Jobs
Future Tech Jobs
As a Senior GPU Networking Architect, you will develop and optimize GPU communication kernels for large-scale AI systems, focusing on minimizing latency and maximizing efficiency. You will collaborate with hardware, software, and AI teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will focus on building and optimizing GPU communication kernels for large-scale AI systems. Your role involves deep collaboration with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns. You will leverage your expertise in GPU architecture and CUDA programming to improve kernel efficiency, minimize latency, and develop GPU-resident communication primitives.
A Research Scientist in Machine Learning will develop novel AI models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing deep learning architectures, training models on biological and chemical data, and collaborating across disciplines to solve complex problems in computational biology and chemistry.
You will lead the Translational Science strategy, identifying biomarkers and developing assays to guide clinical paths and patient selection. You'll ensure scientific rigor, recruit top talent, and collaborate with computational biology and drug discovery teams to drive innovative drug design projects from early stages to clinical trials.
The Data Quality Specialist role involves developing and maintaining quality frameworks, metrics, and processes to ensure high standards across various workflows. Responsibilities include analyzing data trends, creating prescriptive actions for quality issues, and collaborating with customers and internal teams to optimize workflow quality and performance.
This role involves developing and optimizing AI-driven conversational shopping experiences using large language models, multimodal data, and NLP. The data scientist will analyze customer interactions, build predictive models, and design experiments to improve product discovery and recommendations. Collaboration with engineers and scientists is key to deploying scalable machine learning solutions in a high-impact environment.
This role involves analyzing end-to-end customer journeys on Ocado's digital platform to uncover growth opportunities for global retail partners. The analyst will build segmentation models, run A/B tests, and translate complex data into strategic insights, working across ecommerce metrics, product performance, and customer behaviour. Collaboration with product, commercial, and engineering teams is central to driving data-informed decisions in a high-tech retail environment.
This role involves leading a team of data scientists to develop and deploy machine learning models that solve complex retail challenges like demand forecasting and routing optimization. The manager will mentor the team, collaborate with product and engineering, and ensure the technical quality and business value of ML systems.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites globally to collaborate on-site and ensure the practical application of AI models.
This role involves leading the development of data science pipelines and methodologies within a life science start-up. Responsibilities include algorithm development, maintaining data analysis pipelines, and implementing best practices in data analysis to generate insights from scientific data.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.
This role involves developing and maintaining data pipelines, delivering analytical insights, and supporting data-driven decision-making in a complex engineering environment. Responsibilities include data cleansing, quality checks, and building solutions with Python, SQL, Snowflake, and Microsoft Power Platform.
The Data Engineer will build and optimize an Azure-based data platform, develop high-performing data pipelines, and support the adoption of Microsoft Fabric. You will work closely with BI Analysts and other teams to ensure reliable, high-quality data, implement CI/CD practices, and provide technical guidance on data engineering best practices.
This role involves working with large datasets to develop statistical models and methodologies for media audience measurement, primarily supporting Barb and other key media projects like RAJAR and CFlight. The Data Scientist / Statistician will extract, analyse, and visualise data using R, Python, and SQL, while also communicating technical insights to non-technical stakeholders. The position offers hands-on experience in data fusion, audit validation, and client-driven analytics within a collaborative, hybrid-working environment.
This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets.Client DetailsLeading international Manufacturing & Retail CompanyDescriptionThis leading international Manufacturing...
