326 to 350 of 664 Remote Machine Learning Jobs

and statistical methods to the challenges of business growth and product development. In this role, you will You will be expert with SQL, Python or R. Any other major machine learning programming language is a nice to have. You will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis. You will More ❯

and defense company that's shaping the future of cyber and intelligence. We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. WHO YOU ARE Experience as a Software Engineer with knowledge assisting in the design, development, testing, and debugging of More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

candidates are reviewed on the basis of their skill and potential to succeed. Experience in cybersecurity or physical security, with a keen interest in applying cutting-edge AI and machine learning to solve critical, real-world problems. A strategic thinker who can define a compelling product vision and roadmap, translating complex ideas into actionable plans and measurable business More ❯

and defense company that's shaping the future of cyber and intelligence. We're committed to: Innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. Supporting Our Mission: Equipping our employees with the tools, resources, and expertise they need to deliver innovative cyber and More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

will build relationships with other teams and our users to understand the requirements and improvements that can be made , and will be c ollaborat ing with Architecture, Development and Machine Learning/AI teams to ensure seamless integration and delivery of solutions. You'll take ownership of new technical developments in your area and will be responsible for More ❯

in statistical programming in R or other software, such as Python and Stan Develop and explore novel methods for handling prediction problems and gain hands-on coding experience developing machine learning and prediction modelling pipelines. Support the development of R packages and Shiny apps to embed statistical methodology and simplify programming workflows Learn the theory of new statistical More ❯

become the leading travel platform globally - powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique More ❯

solutions? This is a fantastic opportunity to join a data-first business with major investment in its data function, working on modern platforms and with cutting-edge AI and ML initiatives. Key Responsibilities Design and deliver enterprise data models and data architectures Support roadmaps for data platforms, integration, and data processing Work with engineers, data scientists, and stakeholders to deliver More ❯

Spark Hadoop Kubernetes You Have Active Secret Clearance 3+ years in Agile, cloud-based data engineering Experience with API design, ORM + SQL, AWS data services Bonus: AI/ML, big data, microservices Perks & Benefits 401K w/100% match up to 6% Generous PTO + Weekly Pay Health/Dental/Vision/Life Home office allowance Paid certifications More ❯

infrastructure and DevOps practices. Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience with cross-functional team leadership. Desirable Skills: Experience with DCIM tools such as Nlyte. Previous involvement in audits and compliance More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

and scaling BI teams. Experience delivering BI strategies and aligning analytics with business KPIs. Background in Azure data platforms. Desirable: Python for automation and analytics. Exposure to AI/ML-driven BI (e.g. natural language querying, automated insights). Experience with CI/CD for BI solutions and version control (Git). Interview Process: Initial screening call. Face-to-face More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

in partnership with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in More ❯

warehousing solutions - Snowflake experience would be brilliant Understanding of CI/CD processes for deploying data solutions Some exposure to big data technologies and distributed processing Nice to haves: ML pipeline experience Previous fintech or financial services exposure If you are on the market for a new role and are looking to join a business making real impact, APPLY NOW More ❯

DevOps practices. In-depth knowledge of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration projects. Familiarity with AI/ML applications for geospatial data quality and analytics. Proven ability to lead Agile delivery across cross-functional teams. Desirable Skills and Experience: Previous experience managing or supporting data centre operations. Proficiency More ❯

DevOps practices. In-depth knowledge of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration projects. Familiarity with AI/ML applications for geospatial data quality and analytics. Proven ability to lead Agile delivery across cross-functional teams. Desirable Skills and Experience: Previous experience managing or supporting data centre operations. Proficiency More ❯