Top Senior Machine Learning Jobs in Miami, FL

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Leads AI engineering strategy, team development, and delivery of scalable AI and machine learning solutions. Provides technical guidance on solution design, MLOps, automation, DevSecOps, testing, and operational readiness. Partners with business, data, security, architecture, and technology stakeholders to translate requirements into secure, reliable capabilities. Oversees delivery risks, dependencies, quality, governance, responsible AI practices, and continuous improvement while communicating progress and outcomes to leadership.

Lead product-focused data science and machine learning initiatives, including exploratory analysis, production model development, evaluation frameworks, generative AI, graph-based machine learning, recommendation systems, and personalization. Collaborate with engineering, product, and business teams to deliver high-impact solutions, influence strategy, and communicate insights to technical and non-technical stakeholders. The hybrid role requires four days per week in the Greater Boston area.

Senior legal executive leading institutional bank partnerships, complex commercial and program agreements, consumer lending regulatory strategy, data protection, intellectual property, and AI underwriting compliance. The role advises executive and cross-functional teams, manages bank due diligence and risk requirements, and translates legal and regulatory considerations into scalable business strategies.

Leads the creation and global scaling of an AI Data Operations practice. Responsibilities include defining service strategy, developing AI data and evaluation solutions, originating and closing client engagements, establishing quality and governance frameworks, building strategic partnerships, providing thought leadership, and enabling scalable managed-service delivery. The role combines AI expertise, consulting, sales, solution design, commercial leadership, and global operations.

Provides senior functional and technical leadership for NetSuite and connected financial systems. Partners with Finance, Accounting, and technology teams to design processes, configure NetSuite, manage integrations, protect close-cycle continuity, support production incidents, implement controls, coordinate releases, and deliver testing and documentation. The role also leads automation initiatives, vendor engagement, solution lifecycle delivery, and mentorship while supporting accounting, compliance, reporting, and multi-entity financial operations.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Lead mainframe modernization and migration architecture for large global clients. Conduct discovery workshops, assess legacy environments, develop transformation and re-platforming solutions, present technical business cases, and advise executives. Partner with sales, consulting, operations, product management, and clients to create solutions, influence technology roadmaps, drive stability and innovation, and support complex opportunities. The role requires deep mainframe expertise across legacy languages, databases, operating systems, infrastructure, and modernization technologies.

Leads enterprise evaluation, governance, and implementation planning for emerging mental health therapeutics, including digital therapeutics, AI-enabled tools, neuromodulation, pharmacotherapies, and technology-enabled care models. Develops clinical protocols, workflows, provider training, safety criteria, outcome measurement, and adoption support. Partners with clinical, technology, research, quality, operations, and growth teams; evaluates vendors and evidence; monitors regulatory developments; and advances responsible innovation across the organization.

Leads end-to-end customer onboarding and implementation programs, translating customer goals into project plans, milestones, dependencies, risks, and success metrics. Coordinates Sales, Product, Engineering, Support, Customer Success, trainers, and subject-matter experts without performing hands-on technical implementation or training. Establishes scalable operational frameworks, manages cross-functional accountability, oversees technical readiness, tracks adoption, facilitates stakeholder communications, and ensures customers are prepared for go-live.

Lead the roadmap and delivery of an AI-native L1 IT operations agent. Partner with customers, design partners, engineering, and go-to-market teams to ship enterprise-scale capabilities, improve self-service adoption, and build trust through transparent agent experiences and feedback loops. Drive product strategy from discovery through launch in a fast-paced, ambiguous environment.

Leads deployment of underwater imaging systems and development of AI/ML pipelines for detecting, tracking, and classifying fish in video surveys. Oversees annotation library curation, model training and evaluation using VIAME and open-source tools, and supports research implementation plans, presentations, reports, and manuscripts. Participates in fisheries-independent surveys and collaborates with NOAA research teams.

Leads fraud strategy and prevention for a consumer lending product, owning fraud typologies, repayment and chargeback analytics, decision-engine rules, machine-learning risk models, blocking protocols, investigation workflows, and fraud performance metrics. Partners with Credit Risk, Data Science, Engineering, Operations, Legal, and Compliance teams to identify synthetic identity, account takeover, and loan abuse patterns while supporting regulatory reporting and profitable growth.

Lead fraud strategy and prevention for a consumer lending product. Design fraud typologies, analyze repayment fraud, identity spoofing, chargebacks, synthetic identities, and account takeover risks, and own fraud performance metrics. Architect decision-engine rules, deploy machine-learning risk models, develop automated blocking and investigation workflows, and coordinate with Legal and Compliance on suspicious activity reporting and regulatory requirements.

Owns architecture and technical standards for AI/ML platforms, agent frameworks, MCP integrations, orchestration, context engineering, evaluation, governance, and human approval controls. The role guides AI engineers, mentors technical teams, reviews complex designs, and partners with platform, data, network, and UI/UX engineering groups. Responsibilities include production readiness, secure development, monitoring, retrieval systems, tool safeguards, auditability, and enterprise adoption of emerging AI technologies.

Develop and deploy machine-learned interatomic potentials for PFAS substitution. Responsibilities include generating and curating first-principles training data, building reproducible cloud and HPC workflows, training and validating ML force fields, running molecular dynamics and quantum chemistry campaigns, predicting physical properties, extending models to condensed-phase and process chemistries, and communicating model uncertainty and domain limitations.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

Supports sales by discovering client needs, configuring solutions, and delivering compelling demonstrations of SECUTIX’s ticketing and event management platform. Develops RFI and RFP responses, builds trusted stakeholder relationships, communicates product value to technical and executive audiences, tracks opportunities, and provides market and product feedback. The role requires expertise in ticketing, sales, marketing, analytics, live entertainment, sports, cultural arts, or attractions, with travel of up to 40%.

Leads the AI product strategy and roadmap, extending governed Alteryx workflows and business logic into enterprise AI agents and LLM ecosystems. Owns the Faster, Better, Cheaper ROI narrative, benchmarks product performance, quantifies customer value, champions trustworthy AI through the VURA framework, and represents the product vision with customers, analysts, and external audiences.

Leads Dandelion Health’s AI developer business by building pipeline, closing clinical AI data and validation partnerships, recruiting developers into its marketplace, and achieving revenue targets. Develops commercial strategy, manages executive relationships, structures agreements, and collaborates with marketing, product, data, engineering, and clinical informatics teams. Represents the company at industry events and advises on clinical AI validation, regulatory, payer, and competitive dynamics.

Researches, develops, tests, and maintains materials-aware machine learning models and software. Designs scalable ML systems, improves model interpretability and uncertainty quantification, and develops inverse-design capabilities. Collaborates with product, engineering, and external research teams to deliver customer-focused AI solutions, publishes research, reviews code, analyzes model performance, and mentors developers.

Develop and deploy machine learning algorithms that improve real-time device identification and fraud detection. Own data science projects from experimentation through production, including supervised, semi-supervised, and unsupervised learning, real-time inference, training automation, exploratory analysis, and model-to-service integration. Contribute to engineering best practices, collaborate within a global remote team, and participate in a shared on-call rotation.

Improve 1Password’s technical SEO across consumer, PLG, and enterprise websites. Responsibilities include diagnosing and resolving crawlability, indexing, rendering, performance, structured data, internal linking, and international SEO issues; implementing CMS changes; partnering with engineering on requirements and release QA; leading migration workstreams; and building monitoring, dashboards, automation, and repeatable processes using search, analytics, crawl, log, and CMS data.

Own product strategy and delivery for agentic document management, policy and procedure workflows, and compliance gap assessments. Partner with customers, design, engineering, and go-to-market teams to build reliable, explainable AI experiences that accelerate audit readiness and security program expansion. Responsibilities include defining product requirements, evaluating AI outputs, improving quality, synthesizing customer feedback, prioritizing roadmaps, and shaping product culture.

Own the vision, strategy, roadmap, discovery, delivery, and continuous improvement of Rezilient’s member experience products. Partner with clinical operations, engineering, design, customer success, and sales to ship accessible, engaging healthcare experiences. Define requirements, prioritize backlogs, establish product metrics, ensure healthcare compliance, and help integrate AI into care delivery. The role requires experience scaling consumer health products, building AI or machine learning features, and operating effectively in a regulated startup environment.