Top Senior Machine Learning Jobs in Hartford, CT

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

Lead the Applied Machine Learning team at ExtraHop to develop systems for behavioral detection in network security. Manage model design, evaluation, and operationalization while maintaining experimental rigor and collaborating with product teams.

As VP of Engineering, you'll lead the application engineering strategy and team, integrating AI capabilities into products while ensuring quality and execution across backend, mobile, and desktop platforms.

The Director of Product Marketing will own product launches, drive market growth, support sales, and manage the marketing department in a biotech startup focused on antibiotic resistance diagnostics.

As Head of Sales, you will lead revenue growth in hospitals by selling diagnostic solutions, building a sales team, and engaging key stakeholders.

Lead the Data Engineering team at Federato, manage delivery and processes while ensuring alignment across Data Science, Product, and Customer Success.

As a Staff AI Engineer, you will drive product-centric development of AI technologies, enhance evaluation systems, optimize reasoning strategies, and lead production-grade model tuning while balancing performance and cost.

Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.

As a Senior Data Scientist at Netflix, you'll lead experimentation and statistical modeling in game verticals, influencing data-driven decisions and presenting insights to stakeholders. You'll utilize your extensive experience in data science and statistics to enhance game development processes.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

Lead product managers overseeing distribution and onboarding experiences, drive product execution, manage a team, and advocate for user needs.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

The Senior Director of Data Science Initiatives and Partnerships will lead high-impact partnerships, oversee data science initiatives, and drive strategic vision at JAX, bridging research and external collaboration.

As the Engineering Manager, you'll lead technical initiatives in reporting and fraud prevention, build high-performing teams, and influence product strategy.

The Senior Learning Consultant will analyze client needs, translate workflows into training documentation, facilitate workshops, and ensure effective training design for system implementation.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Principal Technical Program Manager drives complex, cross-organizational data and AI programs, ensuring clarity and accountability among teams while aligning strategies with measurable outcomes.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

The Director of Customer Engineering will lead a team to drive the adoption of Elastic's solutions in observability, cybersecurity, and search AI while ensuring customer satisfaction and team collaboration.

The Product Manager will identify process improvements and innovations, utilize automation and AI, and manage the product lifecycle to enhance productivity and deliver business value.