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Researches and develops advanced ML models (anomaly detection, automated ML) for manufacturing multi-modal data (time-series, graph, image, tabular) to enhance core factory ML capabilities. Translates research into production-ready code and mentors MLEs.
Develops AI models that analyze raw RF/I/Q data for SIGINT/COMINT, designing detection/classification systems for real-world deployment on constrained hardware while shaping Datacept’s RFML research direction.
This role involves building and deploying physics-based performance models and optimization systems for security-sensitive environments using scientific Python. You will work in a delivery-focused team to transform models into production-ready decision-support tools.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a SaaS real-estate platform using AWS, dbt, Redshift, and Postgres.
Builds and maintains data-driven applications and pipelines for Zula 2.0, a rail inspection ranking platform, focusing on backend data processing, analytics, and ML workflows on AWS.
This Full Stack Engineer role focuses on building data pipelines and interactive dashboards for rail inspection systems using Python and React. The position involves managing AWS cloud infrastructure and deploying machine learning models to visualize complex inspection data for stakeholders.
Develops and maintains .NET backend services in healthcare, focusing on C#/.NET Core, PostgreSQL (including time-series), and asynchronous messaging for decoupled systems.
The C++ / Low Latency Software Developer will build and optimize high-performance electronic trading systems, including market data and execution infrastructure. The role involves working with modern C++ to develop low-latency trading platforms, event-driven architectures, and backtesting tools in collaboration with quantitative research teams.
The Lead AI/ML Engineer will oversee the architecture and development of an AI-driven supply chain platform, managing end-to-end integration and mentoring a team. The role focuses on building scalable backends, implementing ML models, and maintaining robust MLOps pipelines using cloud technologies.
Design and implement data pipelines for maritime IoT sensor data using Python, SQL, time-series databases (InfluxDB, TimescaleDB), Kafka streaming, and cloud warehousing on AWS or Azure.
12-month placement in Keysight's Software R&D team developing AI/ML-powered software for 5G telecommunications systems using Python, machine learning frameworks, and LLMs.
Build data-driven features for Apple's large-scale batch compute platform, turning job behavior data into predictions and optimizations. Stack centers on Go, Python, or C++ with distributed systems, Kubernetes/Slurm, and infrastructure instrumentation.
Citi's Equities Technology organization is seeking a hands-on Senior Software Engineer to join the Equities Timeseries group, a strategic, horizontal platform organization responsible for order data, tick data, and…
Design and develop high-performance Golang backend services on Linux, lead a software engineering team, and establish CI/CD and cloud-native practices for Daikin's systems in Singapore.
Designs and deploys SCADA systems to monitor and control power, cooling, and mechanical systems for gigawatt-scale data centers, integrating telemetry from industrial devices and building management systems.
Statistical Analyst for the Birmingham Police Department who collects, validates, and analyzes law enforcement and public-safety data using statistical methods, mapping tools, and Microsoft Office/database software to identify crime patterns and support decision-making.
Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you…
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
4-month co-op ML Software Engineer at RBC Borealis, building ML-based software solutions end-to-end—from data ETL using Hadoop/Spark to implementing ML algorithms and front-end development—within a major bank's AI innovation lab.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
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