23 Data Engineer $100k+ Jobs requiring Machine Learning
Data Engineer Machine Learning $100k jobs • $100k Data Engineer jobs needing Machine Learning • high paying Data Engineer roles with Machine Learning • six figure Data Engineer positions with verified compensation.
The platform runs on PostgreSQL and AWS, with TypeScript and Node.js services today, and is moving from serverless functions towards containerised, event-driven services. Customers send data from a very large number of sources and in every shape.
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Ultimus is investing in AI to transform how fund administration work gets done, from generative AI assistants, intelligent document processing and machine learning to a growing set of agentic AI workflows.
Standardize how the lab captures data. Sit with our cell line development, analytics, and molecular biology teams to define how samples, conditions and measurements are recorded, then build the ingestion tooling that makes the right way the easy way.
Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink Mobile program. Automate the aggregation of metrics and detection of widespread application issues across Starlink Mobile.
We’re thrilled to be expanding this year as Robinhood is hiring world-class engineering talent in Toronto. Our Hoodies in Canada will enable Robinhood to continue creating great financial products on our journey towards democratizing finance for all.
The Insurance Data Science team reports through the Chief Risk Officer and uses AI and machine learning techniques to develop predictive models for policy-level transactions and human behavior.
Unchain Data in Toronto is seeking a Software Developer on our Data Engineering team to build core datasets powering analytics, experimentation, and ML across our platform.
The candidate will provide technical expertise in developing operational mission data files (MDF) for Air Force Special Operations Command and Air Mobility Command AN/ALR-56M and AN/ALR-69A Radar Warning Receiver (RWR) systems.
You will develop distributed data pipelines, manage large-scale datasets across cloud environments and design reliable data systems for data processing, experimentation and model development at scale.
You will design, develop and maintain scalable ETL pipelines; collect, clean, transform and organize data; run exploratory analysis to find trends, anomalies and data-quality issues; prepare datasets with researchers, data scientists and engineers for AI and ML initiatives;…
Design, implement and operate ingestion pipelines processing high-volume data from global supply chain and procurement systems. Define, evolve, and manage data schemas and catalogues—from raw staging to high-quality analytics and feature stores.
Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives. Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value.
This is a senior, hands-on position offering substantial technical ownership and influence. You will design and build scalable data platforms and services that enable analytics, machine learning, decision intelligence and emerging AI technologies.
Building production pipelines using Databricks, PySpark, Python and SQL. Integrating industrial data from SCADA, DCS, OPC servers and process historians. Transforming raw operational data into structured, AI-ready datasets.
They're responsible for a significant share of global carbon emissions, and many still make critical decisions using less than 10% of the data their systems collect. This company is using AI to change that.
We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need.
In this role, you'll help shape how data is leveraged across the business, acting as a trusted advocate for data-driven decision making and innovation.