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Join the Payments and Global Banking Technology team as an Executive Director and Senior Principal Engineer for Applied AI/ML. This is a hands-on, code-every-day role focused on application-layer engineering, using…
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions that…
Lead a data team and serve as the technical reference for designing, industrializing, and deploying AI models to production, while mentoring staff and collaborating with Product and Tech on pipelines and KPIs.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the…
The Lead Machine Learning Engineer will design and maintain scalable ML systems while setting technical direction and mentoring engineering teams. This role involves building shared ML resources, managing project roadmaps, and providing technical coaching to customers.
Lead Machine Learning Engineer at Sun Life Financial in Waterford, Ireland designing, developing, testing, deploying, and refining data science and machine learning solutions. Working with cross-functional teams to deliver analytics and drive value from data using Python, R, Dataiku, Linux, containers, and AWS.
About the Role There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who…
Lead AI/ML research in cutting-edge areas like agentic AI and neuro-symbolic AI for Digital Catapult's Advanced AI team, bridging early-stage research with industrial application, developing funding proposals, and mentoring junior team members.
Lead Machine Learning Engineer designing large-scale AI-powered platforms in London, owning technical roadmaps and architecting cloud-native systems with Kubernetes and robust CI/CD pipelines.
The Lead Site Reliability Engineer will manage the end-to-end deployment and operationalization of AI/ML models, ensuring they are scalable and reliable. This role involves implementing MLOps best practices, monitoring model performance, and collaborating with cross-functional teams to align AI solutions with business objectives.
Hands-on lead engineer building scalable data and cloud solutions for regulatory model applications using PySpark/Python, Databricks, and AWS on cross-functional teams at JPMorgan Chase.
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Design and deliver trusted market-leading technology products in a secure, stable, and scalable…
ML Hardware Architect at Google defining TPU roadmaps, building simulation/performance models in C++/Python, and bridging AI research with next-gen silicon design for Google Cloud's AI infrastructure.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION If you are a software engineering leader ready to take the reins and drive impact, we've got an…
Responsibilities We are the Trust & Safety Algorithms Team at TikTok, dedicated to building intelligent systems that safeguard our content ecosystem and protect our global community. Our team develops advanced…
The Lead Engineer, Machine Learning will build and scale production-ready AI systems, managing the full model lifecycle from training to deployment. The role focuses on creating reliable, high-performance inference systems using Python, PyTorch, and JAX to power proactive, AI-native applications.
Who is our client? Our client is a large-scale technology organization with a strong focus on engineering, data, and AI. They are continuing to invest in AI/ML platform capabilities that enable teams to build, operate,…
Leads AI/ML projects from ideation to production, specializing in LLM/Agentic AI development, cloud-based model deployment, and MLOps best practices for fintech applications.
Lead the architecture and implementation of AI/ML systems, collaborating with data scientists and engineers. Core tech includes Python, TensorFlow, AWS, and Scikit-learn.
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