Top Machine Learning Jobs in Hartford, CT

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Leads technical solution development for military and federal health capture and proposal efforts. Designs secure cloud, DevSecOps, EHR modernization, interoperability, data, and analytics architectures; develops technical volumes, graphics, compliance matrices, staffing estimates, demonstrations, and presentations. Ensures security and compliance alignment, supports pricing strategy, collaborates across capture and delivery teams, and mentors architects and subject-matter experts.

The AI Executive Partner will advise C-Suite executives on leveraging AI to drive business outcomes, manage member relationships, and deliver innovative AI solutions.

Oversee development, validation, monitoring, and governance of consumer credit risk models used for loss forecasting, credit decisioning, regulatory reporting, and risk management. Apply statistical, econometric, and machine learning methods to PD, LGD, and EAD models; support CECL, stress testing, and macroeconomic scenario analysis. Assess model performance, data quality, and compliance while communicating findings to senior leaders, auditors, regulators, and other stakeholders.

Serves as the technical and business advisor for Verint’s Open CCaaS platform, selling CX automation solutions to C-suite customers. Builds executive relationships, communicates ROI, leads cross-functional product and sales teams, identifies expansion opportunities, and delivers thought leadership. Requires expertise in AI, data science, contact center operations, data architecture, and cloud platforms, with approximately 30–50% travel.

Leads strategy, roadmap, development, and adoption of analytics and AI products for Ford Integrated Services. Owns reporting platforms, dashboards, governance, metrics, support models, and generative AI initiatives. Partners with senior stakeholders and cross-functional teams including engineering, design, data science, and analytics to deliver actionable insights, improve subscriptions performance, and establish trusted business intelligence solutions.

Build Quince’s greenfield, AI-native supply chain planning platform from architecture through production. Own forecasting and optimization model pipelines, experimentation, deployment, monitoring, operator tooling, integrations, and AI-augmented workflows. Partner with scientists, planners, business leaders, and distributed engineering teams to translate supply chain needs into scalable systems. Set technical direction, establish engineering standards, and recruit and develop a high-performing team.

Lead and grow a data science team focused on customer intelligence, personalization, product analytics, marketing optimization, and customer lifetime value. Develop predictive and segmentation models, analyze web and mobile engagement, design experimentation programs, and apply causal inference, survival analysis, forecasting, Bayesian methods, NLP, and machine learning. Partner with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into scalable products, actionable recommendations, and measurable business impact.

Designs, develops, and deploys secure, scalable AI solutions for Statistical Programming workflows. Builds Generative AI, RAG, and agentic applications involving ingestion, retrieval, code generation, validation, and human review. Develops reusable services and APIs while implementing traceability, reproducibility, evaluation, regression testing, monitoring, and LLMOps practices. Collaborates with programming, architecture, IT, security, validation, and governance teams to move AI proofs of concept into production, regulated environments.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

Owns a portfolio of Data-as-a-Service products end to end, including vision, roadmap, requirements, agile delivery, pricing, packaging, distribution, privacy compliance, and go-to-market execution. Partners with engineering, data science, legal, marketing, sales, and customer success to deliver data enrichment, identity, and audience products through APIs, clean rooms, marketplaces, integrations, and self-service channels. Uses launch metrics and customer insights to guide investment decisions.

Leads technology development for composite wind blade design, materials, manufacturing, tooling, and automation. Owns maturation from early research through production implementation, establishes technology roadmaps and stage-gate processes, and applies AI/ML to engineering and manufacturing challenges. Builds technical teams, manages budgets and partnerships, directs modeling and validation, supports production transitions, develops business cases, and protects intellectual property. The role collaborates globally with engineering, operations, quality, suppliers, customers, universities, and technology partners.

Own the end-to-end rebuild of Nextdoor’s consumer search experience, including query understanding, retrieval, ranking, result quality, organic and sponsored content blending, and monetization. Define search relevance metrics, partner with engineering, data science, ML, research, design, and marketing teams, and use A/B testing to improve engagement and revenue while protecting user experience.

Own the platform powering Airbnb’s AI Assistant, including request routing, knowledge retrieval, capabilities, actions, and evaluation. Set product strategy, define resolution and quality standards, analyze production data, diagnose system failures, and guide engineering, data science, policy, and knowledge partners. Lead generative AI launches, safety and readiness reviews, LLM evaluation systems, calibration, and certification while aligning cross-functional teams and communicating decisions to executives.

The Vice President of Sales will own Fuel Cycle’s sales function, including go-to-market strategy, quota attainment, pipeline generation, enterprise deal execution, forecasting, board reporting, and sales team development. The role requires building a new-logo growth engine, coaching Challenger and SPICED methodologies, navigating complex buying committees, partnering cross-functionally, and selling AI-powered SaaS solutions to enterprise customers. Regular travel to prospects, clients, and company headquarters is expected.

Leads commercial, privacy, and product legal functions for a cloud technology company. Drafts and negotiates complex SaaS, partnership, reseller, and technology agreements; advises on global privacy, data protection, AI, intellectual property, and product development issues; develops contracting processes and playbooks; partners with cross-functional teams; and manages, mentors, and develops legal professionals.

Develops, calibrates, validates, and maintains credit risk models, including PD, LGD, and EAD models, for lending, collections, loss forecasting, capital planning, and stress testing. Analyzes large datasets, evaluates model performance, documents model changes, supports systems testing, and communicates statistical insights to stakeholders and management. Collaborates across the credit union to improve risk-return strategies and reporting.

Lead design and implementation of high-throughput, low-latency programmatic bidding systems. Collaborate with ML engineers to deploy real-time inference, optimize distributed microservices, run experiments and quantitative analysis, and partner with product to ship scalable features. Foster operational excellence, mentor engineers, and continuously improve performance and reliability.

Own the product strategy, roadmap, team, customer relationships, and P&L for Teamworks’ Coaching, Player Personnel, Recruiting, and Intelligence portfolio. Lead AI strategy across sports markets, integrate acquired products, align engineering, design, data science, marketing, and sales, and convert proprietary sports data into AI-powered workflows. Represent the business with teams, leagues, and partners while driving multi-market growth and product execution.

Design, train, and evaluate advanced machine learning models for autonomous driving, simulation, and ML platforms. Lead small cross-functional engineering teams, establish data and experiment practices for petabyte-scale training, address long-tail model failures, and work with multimodal datasets exceeding 100TB. The role requires commercial robotics experience, mentoring capability, expertise in VLA or generative world models, Python/PyTorch, sensor processing, and potentially edge deployment.

Lead high-complexity data science initiatives improving search ranking, retrieval, relevance, and evaluation. Develop and deploy production machine-learning and NLP solutions, investigate LLM-based ranking features, optimize SQL queries, and work with sparse privacy-preserving data. Define strategies for ambiguous problems, guide other data scientists, collaborate with product teams, and own projects from scoping through production.

The Associate Data Scientist partners with clinical and operational teams to prepare and transform data, develop predictive models, apply statistical and AI techniques, and create actionable insights. Responsibilities include feature engineering, model optimization, data visualization, dashboards, stakeholder presentations, risk management, and Agile collaboration to improve patient care, hospital operations, and organizational outcomes.

Leads Intermedia’s global accounting organization and financial reporting operations, including GAAP compliance, audits, tax, internal controls, revenue accounting, close processes, and business combinations. Partners with executive leadership on strategy, projections, growth initiatives, and operational improvement. Builds and mentors a high-performing global team while advancing technology-enabled automation and process efficiency across the CFO organization.

Leads technical sales and executive evangelism for Verint’s Open CCaaS and CX Automation platform. Acts as a trusted advisor to C-suite customers, articulating ROI, AI, data science, and platform capabilities. Partners with Product, Sales, Solutions, Services, Marketing, and Customer Success teams to drive adoption, expansion, thought leadership, and opportunity closure. Requires deep contact center operations experience, strong data architecture knowledge, executive communication skills, and extensive travel.

Lead research and engineering of production-grade LLM/GenAI systems for cybersecurity: design models and architectures, drive data labeling and evaluation, collaborate with product and engineering to deploy scalable solutions, mentor data scientists, set technical strategy, and advance AI safety, red-teaming, and applied ML innovations for detection and operational use.