Top Entry Level Machine Learning Jobs in Miami, FL

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Leads Utility’s AI practice by defining its roadmap, overseeing AI research and deployment, identifying client opportunities, mentoring AI teams, and establishing responsible AI practices. The role combines technical leadership, product strategy, client advisory, and operational execution across machine learning, generative AI, and intelligent automation initiatives.

Supports North American sales of Mastercard Identity solutions by serving as the technical product expert. Responsibilities include discovery, solution design, technical presentations, proof-of-value testing, customer training, documentation, conferences, webinars, and product feedback. The role requires explaining machine learning, data science, APIs, web architecture, and probability-based decisioning to technical and nontechnical stakeholders while advising customers on fraud and identity solutions.

Perform unscripted improv scenes involving everyday household activities while speaking naturally with a voice assistant. Participants will be recorded on camera and audio during four-hour in-person research sessions in the Miami area. The work is temporary and recurring, with virtual screening followed by studio recording. Reliable scheduling, comfort performing without a script, and natural dialogue are required. The study supports AI and machine learning research, and compensation is up to $500 per session.

Applies statistical analysis, machine learning, and data science to operational, financial, and strategic business problems. Builds analytical models, dashboards, AI-enabled workflows, and decision-support tools using enterprise data platforms. Supports data quality, governance, semantic modeling, AI tool evaluation, and deployment. Collaborates with cross-functional teams to identify AI transformation opportunities and communicates findings to technical and non-technical stakeholders.

Design, develop, secure, modernize, and support scalable omnichannel APIs for customer-facing web, mobile, contact center, partner, and enterprise applications. Improve API security, resiliency, performance, observability, testing, and reliability. Collaborate with architecture, security, cloud, product, operations, and engineering teams; lead technical delivery, mentor engineers, develop reusable patterns, and provide Tier 3 production support. Apply AI-assisted engineering practices and contribute to API lifecycle management and continuous improvement.

Conducts independent and collaborative physical oceanography research on North Atlantic circulation and Atlantic Meridional Overturning Circulation variability. Uses numerical ocean models, mooring observations, satellite altimetry, and potentially machine learning to analyze RAPID-MOCHA and OSNAP data. Develops analytical models, prepares research papers and reports, maintains current scientific knowledge, and collaborates across institutions. A Ph.D. in physical oceanography, atmospheric sciences, or a related field is required.

Develop and validate machine learning, deep learning, and signal-processing algorithms using large-scale ECG and longitudinal health datasets. Build scalable machine learning infrastructure, collaborate with data scientists, software engineers, and clinical experts, and translate research into production-quality medical device algorithms. Communicate findings through publications, conference presentations, and stakeholder briefings. Work includes distributed model training, cloud deployment, time-series analysis, and advanced methods such as self-supervised learning and generative AI.

Freelance writers summarize recent machine learning research papers for The Batch, an AI newsletter reaching over two million professionals and students. Writers must understand machine learning technology, explain complex research clearly in an established format, and communicate effectively in English. The role is intended for graduate students and postdocs in machine learning, with negotiable freelance compensation.

Own Avon AI’s US go-to-market motion, including enterprise prospecting, discovery, demos, pilots, negotiations, forecasting, and closing deals with regulated organizations. Build demand through outbound campaigns, events, webinars, partners, and resellers. Develop the sales process, messaging, qualification framework, and playbook while helping recruit the future US sales and marketing team. Collaborate closely with founders and product teams, translating customer and market feedback into product direction.

Design and deploy production machine learning models and conversational AI agents that transform advertiser briefs into optimized media plans. Build evaluation systems to improve model and agent quality, collaborate across science and engineering teams, investigate ambiguous problems, and iterate using performance data and seller feedback. Communicate effectively with technical and non-technical stakeholders while contributing broadly across machine learning domains.

Lead the design, development, testing, deployment, and productization of scalable AI/ML solutions. Build and optimize machine learning and deep learning models, transform prototypes into secure enterprise systems, and develop production-grade MLOps pipelines and CI/CD workflows. Guide AI/ML strategy, roadmaps, cloud deployments, and enterprise integration while mentoring engineering teams, advising customers, supporting workforce planning, and collaborating with technical and government stakeholders.

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

DoD SkillBridge Fellows gain practical experience through assigned projects, collaboration with experienced professionals, and exposure to operational processes, technologies, and mission objectives. Opportunities span telecommunications, acquisition and procurement, technology, accounting, finance, and other areas. Participants are compensated by their military employer during the fellowship and may be considered for full-time employment afterward based on performance and organizational needs.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.

Support partner sales opportunities through discovery calls, product demonstrations, technical responses, solution scoping, project planning, proof-of-concept coordination, RFI/RFP responses, and security questionnaires. Collaborate with sales, professional services, product, engineering, and delivery teams while building partner relationships and developing expertise in fraud prevention and financial crime solutions.

The Tarbell Fellowship combines three months of remote training in AI and journalism fundamentals with a nine-month newsroom placement as an artificial intelligence reporter. Fellows write and investigate AI-related topics, build journalism skills, complete coursework and assignments, and attend a weeklong in-person summit. The program is full-time and intended for candidates with journalism or AI expertise, strong writing ability, persistence, curiosity, and open-mindedness. Senior fellowships are available to candidates with at least seven years of experience and exceptional prior work.

Own the global-health clinical research and evaluation agenda for a medical AI platform. Design validation frameworks for accuracy, safety, multilingual performance, and real-world LMIC use; develop outcome metrics and theories of change; shape point-of-care safeguards; build research partnerships; and translate field insights into product improvements. The role requires practicing clinical expertise, direct LMIC care-delivery understanding, clinical AI evaluation experience, and approximately 25% travel to research and partner sites.

Analyze malware, binary files, customer detection tickets, and machine learning detections to improve detection efficacy and reduce false positives. Review product detections, assess binary legitimacy, address internal detection questions, and provide insights to data science teams. The role collaborates with technical account managers, incident response teams, data scientists, and malware researchers. Required capabilities include malware analysis, reverse engineering, Python scripting, binary fundamentals, threat assessment, research methods, operating systems, and AI-assisted workflow improvement.

Conducts supervised postdoctoral research into leukemia and therapy-related myeloid neoplasms. Applies molecular, genetic, computational, and single-cell genomic techniques to investigate cancer biology and develop therapeutic insights. Analyzes sequencing and bioinformatics data, develops analytical models, prepares reports and manuscripts, presents findings, and collaborates across laboratories. A Ph.D. is required; computational biology, single-cell technologies, and leukemia or MDS experience are preferred.

Build high-performance trading tools and large-data research platforms in small teams. Design system architectures, develop resilient production software, and apply distributed computing, NLP, and machine learning to solve complex quantitative problems while collaborating with engineers, traders, and researchers.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Provide technical pre-sales expertise for Jumio’s identity verification, KYC, AML, authentication, and risk management solutions. Responsibilities include consulting with prospects, leading technical presentations, responding to RFPs and RFIs, managing proofs of concept, onboarding customers through go-live, delivering customized web and mobile demos, and supporting sales, account management, product, engineering, and marketing teams.