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.
This role involves collaborating with engineering to build robust data foundations, creating actionable dashboards, conducting deep-dive analytics, and leveraging AI tools to automate insights. The Data Scientist will also support A/B testing and communicate findings to influence customer success strategies.
This role involves applying and developing machine learning and statistical models to analyse large-scale genomics, transcriptomics, and multi-omics datasets for target identification and validation in drug discovery. The Data Scientist will work at the intersection of computational genomics and ML, integrating human genetics data with functional omics to uncover disease mechanisms. Collaboration with experimental and machine learning teams is central, with an emphasis on reproducible workflows, hypothesis validation, and clear communication of insights.
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.
Data Scientist - MerseysideAs a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include:Building and deploying machine learning models across customer use...
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.
Design and deliver custom data science solutions for high-impact projects in the defence sector, working closely with clients and cross-functional teams. Focus on ethical, reliable AI applications requiring technical leadership, rigorous model development, and clear communication of insights to non-technical stakeholders. Contribute to thought leadership through teaching or open-source work.
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.
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 designing and developing Databricks Lakehouse solutions, building scalable data pipelines using PySpark and Spark SQL, and implementing solutions with Delta Lake and Databricks SQL. You'll work on complex projects, collaborate with experienced teams, and support machine learning initiatives.
Design and scale data pipelines from ingestion to delivery, implement dbt best practices, and build self-service tooling to enable cross-functional teams to access and use data independently. Develop AI agents to answer data queries and ensure data quality across systems.
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.
