Machine Learning Jobs

This entry-level position targets recent Computer Science or IT graduates seeking to launch careers as Java Developers or Junior Data Scientists. The role involves building scalable enterprise applications using Spring Boot, designing custom software solutions, and integrating business logic with external components. Key responsibilities include developing web services, enhancing existing Java-based systems, and providing production support within a client/server environment. The opportunity appeals to candidates eager to gain hands-on experience with modern tech stacks and work on real-world projects that bridge the gap between academic theory and industry demands. The position offers a structured pathway for professional growth, allowing new graduates to develop production-ready skills in a collaborative team setting.

This full-time on-site role at Imperative Care's Campbell, California office leads enterprise analytics capabilities to drive data-informed decision-making within the healthcare sector. The position focuses on defining KPI frameworks, building executive dashboards, and developing predictive models to support commercial growth and strategic planning. Key responsibilities include ensuring data integrity across the organization, partnering with Finance and Commercial Operations to enhance forecasting, and translating complex data into actionable business recommendations. The role offers the opportunity to make a direct impact on patient care by revolutionizing stroke treatment technologies. It appeals to professionals seeking a mission-driven environment where advanced analytics directly influence life-saving outcomes, supported by a collaborative culture and opportunities for professional growth.

This Analyst role on the WealthAG Analytics team supports a call center-based advisory business by transforming data into actionable insights for financial advisors. Key responsibilities include developing machine learning prototypes, creating data alerts and reports, and collaborating with cross-functional partners to optimize business processes. The position offers a dynamic environment where early-career professionals can build core skills in data science and visualization while learning how analytics drives financial outcomes. The role appeals to detail-oriented individuals seeking mentorship and growth within a collaborative culture that values innovation and client success. This is a hybrid opportunity combining hands-on technical work with strategic business exposure.

The Senior Data Platform Solution Architect role involves designing and delivering secure, scalable data and analytics solutions for a global healthcare organization. Key responsibilities include translating complex business needs into practical system designs, overseeing data platform architecture including storage and pipelines, and guiding engineering teams to implement cost-effective solutions that support AI and advanced analytics. This position appeals to candidates seeking to drive meaningful impact by improving health outcomes through robust data infrastructure. The role offers a collaborative environment with opportunities to work with cross-functional teams and stay current on emerging technologies. The position supports a hybrid work arrangement with remote flexibility, requiring a reliable high-speed internet connection for home-based work.

This full-time Submarine Sonar Analyst role at Sonalysts, Inc. supports the Navy by bridging the gap between operational submarine experience and engineering development. The position focuses on advanced sonar algorithm development, labeling data for artificial intelligence projects, and serving as a liaison between active duty personnel and acquisition teams. The role is based entirely on-site in Waterford, Connecticut, and requires an active security clearance. The position is appealing due to the company's employee-owned structure, which fosters an agile and entrepreneurial environment where staff can influence new business and technology. Employees benefit from a flexible time program, comprehensive professional development opportunities, and a collaborative culture that values diverse military and technical backgrounds.

This role within Apple's Services Finance Data Science and Engineering team focuses on building and optimizing financial data platforms to support product innovation. The position involves partnering with business stakeholders to translate complex requirements into data-driven solutions, utilizing AI coding assistants and agentic frameworks to rapidly prototype and deploy analytical models. Key responsibilities include designing scalable analytics pipelines, conducting rigorous statistical analysis, and creating self-serve dashboards that empower decision-making. The role appeals to candidates who thrive in a collaborative culture of excellence and offers the opportunity to work with cutting-edge AI tools to accelerate delivery. The position requires a strong background in Python, SQL, and machine learning, with a focus on shipping production-ready solutions in a dynamic environment.

This Data Scientist role within the SPX AI Lab focuses on building the next generation of Amazon Seller Assistant, a multi-agent system designed to proactively support millions of sellers. The position involves owning the product vision and strategy for key capabilities while defining and shipping agentic experiences that handle reasoning, planning, and memory at scale. Key responsibilities include translating frontier AI research into production-grade features, designing rigorous evaluation frameworks to measure agent quality, and driving cross-functional alignment to solve complex business problems. The opportunity appeals to candidates seeking to work at the intersection of cutting-edge agentic AI and real-world commerce, offering the resources of a global leader with the agility of a startup. The role is based in Seattle and requires a blend of technical expertise in machine learning and strong communication skills to influence product direction.

This remote Data Scientist role supports U.S. Customs and Border Protection within the Washington DC Metro Area. The position involves applying advanced statistical analysis, machine learning, and data mining to transform raw data into actionable insights for government clients. Key responsibilities include designing predictive models, developing complex visualizations, and conducting quantitative simulations to solve real-world problems. The role appeals to candidates seeking a collaborative, people-centered culture at a fast-growing consulting firm that values continuous learning and work-life balance. The company offers a supportive environment with flexible time off, low travel requirements, and opportunities to contribute immediately to cutting-edge solutions. Candidates must hold a relevant advanced degree and possess a valid security clearance.

This senior applied scientist role within Amazon's Leo Satellite Build Intelligence team focuses on developing the scientific intelligence layer for satellite manufacturing. The position involves designing and deploying machine learning models, including LLM-based systems, to transform fragmented data into a unified, closed-loop system that drives production decisions. Key responsibilities include translating ambiguous manufacturing challenges into defined scientific problems, training models on large-scale noisy datasets, and building evaluation frameworks to ensure production readiness. The role appeals to candidates seeking to work at the intersection of AI and physical-world systems, offering the opportunity to influence scientific direction, mentor teams, and contribute to AI-native manufacturing processes. The position is based in California or Washington and requires U.S. citizenship or permanent residency due to export control regulations.

The AI Developer role within Banesco USA's IT Department focuses on architecting and deploying advanced AI solutions using Google Cloud Platform and Gemini Enterprise. Key responsibilities include designing autonomous agents to modernize legacy banking workflows, building predictive models for data-driven decision-making, and ensuring all solutions comply with strict financial regulations. This position appeals to candidates seeking to lead process reinvention in a global financial institution, offering a hybrid work arrangement and a culture that values innovation, continuous professional development, and cross-functional collaboration.

This role is a technical support position within the IT department, designed to assist end-users with hardware, software, and network issues. Key responsibilities include troubleshooting system problems, providing first-line help desk support, maintaining hardware and software inventory, and coordinating software releases. The position offers an opportunity to gain broad experience across multiple technology stacks while working in a collaborative environment focused on resolving complex technical challenges. The role supports both internal staff and external clients, ensuring smooth daily operations through effective system maintenance and user training.

This position is part of a Job Placement Program designed to prepare candidates for entry-level roles in Java development, data science, and data engineering. The program focuses on bridging the gap between academic knowledge and employer expectations through structured skill-building, real-world project development, and interview readiness coaching. Key responsibilities include refining resume positioning, mastering industry tools like version control and APIs, and demonstrating hands-on ability in clean coding and debugging workflows. The opportunity appeals to recent graduates, career switchers, and professionals seeking to re-enter the workforce by providing a clear pathway to employment with major technology and financial brands. Participants receive ongoing support throughout the job search process, including guidance on STEM extensions and visa filing assistance for qualified international candidates.

This entry-level remote role targets recent graduates and career switchers seeking full-time positions as junior full stack developers or data scientists. The position involves building applications using Java and React, alongside data engineering and machine learning tasks for U.S.-based employers. The opportunity is appealing due to its focus on placing candidates with major tech companies and providing end-to-end job placement support rather than traditional outsourcing. The role is designed for individuals with limited experience who need to bridge the gap between academic training and industry requirements, offering a pathway to build a long-term career in technology without relocation.

This entry-level opportunity connects recent graduates and career switchers with full-time roles as Junior Software Programmers, Fullstack Developers, or Data Scientists at major technology firms. The position focuses on bridging the gap between academic knowledge and practical industry skills, with key responsibilities including developing applications using Java or Python, building data pipelines, and implementing machine learning models. The role is appealing for candidates seeking to launch their careers at companies like Google or PayPal, offering access to real-world tools and a supportive environment designed to help professionals with limited experience or career gaps succeed. The program also provides assistance with visa filings for eligible candidates and emphasizes a collaborative approach to securing interviews and job offers.

This entry-level role targets recent graduates and career switchers seeking positions as Junior Data Scientists or Data Engineers within the technology sector. The position involves applying skills in Python, Java, and machine learning to build data solutions for various clients. The opportunity is designed to bridge the gap between academic training and industry requirements, offering candidates hands-on experience with modern tech stacks. The program appeals to those with career gaps or limited work history by providing a structured pathway to full-time employment at major tech firms. Support is available for visa-related processes such as STEM extensions and H-1B filings. The arrangement typically involves placement with client organizations, facilitating professional growth and career momentum.

This entry-level remote role targets recent graduates and career switchers seeking to launch a career in data science or engineering. The position involves developing skills in Python, Java, and machine learning while working on real-world projects for major clients. Key responsibilities include building data pipelines, analyzing datasets, and collaborating with engineering teams to deploy scalable solutions. The opportunity is appealing for candidates with limited experience, as it provides a structured pathway to gain hands-on industry exposure and rebuild professional momentum. The role supports candidates facing career gaps or those needing assistance with visa extensions, offering a collaborative environment focused on closing the gap between academic knowledge and employer expectations.

This entry-level opportunity targets candidates seeking to transition into Data Science or Java Full Stack development roles through a structured placement program. The role involves intensive skill-building in real-world tools such as version control, APIs, and cloud deployment, alongside resume optimization and interview coaching to align with current employer expectations. Participants gain hands-on experience with project depth and teamwork workflows required by major technology and financial firms. The program is particularly appealing for recent graduates, career switchers, and professionals with employment gaps who need a guided pathway to secure full-time positions. It offers a clear process to bridge the gap between academic learning and job-ready capabilities, with support available for visa-related employment processes once hired.

This entry-level position targets recent graduates and career switchers seeking roles as Java Spring Boot developers or data scientists within the technology sector. The role involves developing scalable applications using Java and Spring Boot, analyzing complex datasets, and implementing machine learning models to solve business problems. The opportunity is designed for candidates with limited experience who need to bridge the gap between academic training and industry requirements. It offers a pathway to full-time employment with major tech and financial clients, providing access to in-demand skill development and potential support for visa sponsorship. The position focuses on building a practical career foundation in a competitive market.

This entry-level position targets recent graduates and career switchers seeking roles as Data Scientists or Data Analysts within the technology sector. The role involves applying practical skills in data analysis, machine learning, and programming to solve real-world business problems for major tech clients. Key responsibilities include building data models, analyzing complex datasets, and collaborating with engineering teams to deliver actionable insights. The opportunity is appealing for candidates aiming to bridge the gap between academic knowledge and industry requirements through a structured placement program. The arrangement supports professionals seeking full-time employment with opportunities for visa sponsorship and career growth in high-demand tech stacks.

This remote entry-level position targets recent graduates and career switchers seeking roles as Junior Data Scientists or Engineers. The role involves developing data pipelines, building machine learning models, and analyzing datasets to support business decisions for technology clients. It is designed for individuals with limited experience who need to bridge the gap between academic knowledge and practical industry skills. The opportunity appeals to candidates looking to launch a career in tech with exposure to modern tools and real-world projects. The position offers full-time remote work and includes support for visa-related processes such as STEM extensions and H-1B filings for eligible candidates.

This entry-level position targets recent graduates and career switchers seeking roles as Junior Java Developers with Spring Boot expertise or Data Engineers with an AI focus. The role involves developing scalable backend services, building data pipelines, and implementing machine learning solutions to solve real-world business problems. It is designed for candidates who possess strong theoretical knowledge but require practical project experience to transition into full-time employment. The opportunity appeals to individuals aiming to bridge the gap between academic study and industry demands by working on live projects that demonstrate immediate value to employers. The position offers a pathway to full-time employment with top technology firms and supports candidates requiring visa sponsorship or STEM extensions.

This position is a career development program rather than a direct employment role, designed to prepare candidates for Java microservices and junior data analyst opportunities. The program focuses on optimizing resumes, building real-world project depth, and preparing candidates for technical interviews to bypass automated hiring filters. Participants receive guidance on aligning their skills with current market demands in Java, full stack, and data analytics fields. The offering appeals to recent graduates, career switchers, and professionals with employment gaps by providing a structured path to secure roles at major technology and financial organizations. The program includes support for interview readiness and negotiation, with additional assistance available for visa-related processes upon securing employment.

This entry-level software developer role is part of the Job Placement Program offered by SynergisticIT, designed to support recent graduates and career switchers in securing full-time technology positions. The program focuses on optimizing candidate profiles, building real-world project depth, and preparing individuals for technical interviews and offer negotiations. Key responsibilities include refining resume content to pass automated screening systems, developing skills in high-demand stacks such as Java, Python, and DevOps, and aligning professional narratives with current market needs. The position appeals to candidates seeking to bypass the modern hiring funnel and connect directly with Fortune 500 clients. It offers a remote work arrangement and provides guidance on career stability, including support for visa processes like H-1B and Green Card filings once employed.