Top Machine Learning Jobs in Hartford, CT

The Simulation Engineer will work on AI solutions for CAE workflows, integrate AI technologies, engage with customers, and enhance AI software products.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

The Tech Lead collaborates with machine learning teams to improve AI voice deployment, optimizing performance and stability of services using Python and cloud technologies.

The role involves collaborating with teams to deploy ML inference workloads, improve model performance, and enhance system visibility for AI Voices.

The Senior Software Engineer will work with machine learning teams to deploy AI models, improve performance, and manage production services.

The Senior Software Engineer will enhance AI models, operate core ML workloads, and improve system efficiency, while collaborating with teams to enhance user experience.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

The Senior Director & Data Scientist will lead a team to use advanced statistical techniques and machine learning models, communicating insights to drive decision-making and enhance competitive advantage in the insurance market.

Lead the Lime Vision team as a Staff Applied Scientist, specializing in Computer Vision and Machine Learning. Own technical strategies for complex problems in micro-mobility, optimizing models for edge devices and ensuring compliance with city regulations.

As a Billing Lead, you will manage a billing team, enhance operational effectiveness, and ensure successful claims management while fostering a preventative approach to revenue cycle management.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Product Marketing Manager will develop strategies, create messaging frameworks, and produce marketing materials to effectively communicate Socure's value in the identity verification and fraud prevention market while collaborating with cross-functional teams.

Design and implement scalable machine learning pipelines, collaborate with cross-functional teams, ensure deployment standards, and champion best practices in observability and monitoring.

Develop and optimize machine learning models and workflows to enhance insurance processes. Collaborate on model integration, monitoring, and improvement while driving innovation in modeling techniques.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

The Senior Display Media Account Manager develops and executes digital media strategies, focusing primarily on Amazon DSP, while fostering client relationships, providing analytics, and driving business growth for clients.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

The Director, Strategy & Insights will enhance client performance using advanced analytics and machine learning, ensuring client satisfaction and achieving revenue goals through strategic planning and cross-functional collaboration.

Lead AI-powered discovery and personalization for HubSpot Academy. Define roadmap, deliver ML-driven matching, predictive search, and conversational UI; drive experimentation, cross-functional partnerships, user research, and iterative launches to increase engagement and learning outcomes.

As an Account Development Representative, you'll enable sales through GTM research and initiatives, qualifying leads, generating pipeline, and refining GTM strategies to improve customer engagement and sales efficacy.

Lead a team of advanced product analysts, conduct data analysis and statistical modeling, design experiments, and develop reporting tools to drive product decisions and business performance.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

The role involves designing and prototyping advanced AI reasoning systems for real estate, focusing on LLM-powered applications while mentoring junior scientists.

The Manager of Decision Science will lead analytics efforts to enhance digital marketing, focusing on SEO and content metrics, utilizing statistical models and tools to drive business growth.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.