We’re currently seeking for an internship position in the Data Processing Developer Technology team. Would you enjoy researching parallel algorithms to accelerate AI and Data Processing workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate...
This internship involves researching and developing GPU-accelerated techniques for deep learning, machine learning, and AI workloads. You will collaborate with experts to optimize complex algorithms, publish findings, and influence next-generation hardware and software design.
The Data Scientist role at SRT Marine Systems involves developing and evaluating ML models for maritime and security-based problems, such as detection, classification, and anomaly detection in time series and image/video data. You will collaborate with developers and engineers to integrate these models into user-facing features and build scalable data pipelines.
Lead a team of data scientists who deliver experimental and observational analysis to accelerate the development of Wayve’s end-to-end AI for autonomous vehicles. Drive evals and insights from real and simulated driving data, enabling engineering teams to rapidly iterate and meet customer commitments. Scale impact through people, tooling, and automation in a fast-paced, innovative environment.
This role involves building and maintaining data pipelines, data warehouses, and data lakes to ensure data accuracy, accessibility, and security. You will work closely with data scientists to deploy machine learning models and collaborate with domain teams to create reusable patterns and automation for a new standalone payments business using Databricks and AWS.
The Data Scientist will develop and implement machine learning models to solve business problems, analyse large datasets for actionable insights, and collaborate with technical and business stakeholders to deliver data-driven solutions. The role involves preparing, cleaning, and transforming data, as well as evaluating and monitoring models for accuracy and reliability.
This role involves building and maintaining scalable data pipelines, designing data models, and developing machine learning solutions to support AI initiatives and business intelligence. You will work closely with stakeholders to translate business challenges into technical solutions, using tools like Microsoft Fabric, Databricks, and PySpark.
This role involves designing and building scalable data pipelines using Databricks and Spark, developing robust ETL/ELT solutions, and supporting AI and machine learning initiatives. You will work closely with stakeholders to translate business requirements into technical solutions and maintain data models within modern lakehouse architectures.
This role involves designing and evolving a cloud-based data platform architecture, assessing new technologies, defining standards, and supporting data governance and AI readiness. You will work closely with engineering, analytics, and product teams to ensure data scalability and trustworthiness.
As a Data Engineer, you will play a key role in migrating and consolidating existing data pipelines into a Snowflake-based platform, ensuring data quality and reliability. You will work closely with Data Scientists to support feature engineering and develop robust data models and transformation processes.
This role involves building and optimizing data pipelines to process and manage large volumes of data, enhancing the central data platform, and working closely with stakeholders to support investment decision-making. The successful candidate will have 3-6 years of experience, a strong background in SQL and Python, and direct experience in the hedge fund sector.
This role involves leading the end-to-end development of predictive models, starting with customer churn and complaint propensity, within a subscription-based business. The Data Scientist will define methodologies, build scalable production-ready solutions, and establish the foundation for the company's data science function. Emphasis is on hands-on modelling, commercial impact, and independent ownership of the full lifecycle from concept to deployment.
This role involves analysing manufacturing, quality, and product performance data to uncover trends and drive engineering improvements. You'll develop analytical models and dashboards, apply machine learning techniques, and collaborate with engineering and digital teams to support data-driven decision-making. The position emphasizes translating complex data into actionable insights for both technical and non-technical audiences.
This role involves leading technical engagements in data architecture and strategy, building and deploying machine learning models, and staying up-to-date with the latest trends in GenAI. You will manage a small team and act as the technical expert in machine learning and large language models.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing AI and machine learning models. You will work closely with analysts and business stakeholders to translate requirements into robust technical solutions, while contributing to data quality, governance, and performance optimization.
