126 to 150 of 1,125 Remote Machine Learning Jobs

support a federal program in El Paso, TX. We are seeking a highly skilled Senior Data Scientist with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and … The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop and support AI/ML models for data analysis, focusing on the accuracy, authenticity, expectancy, timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns, trends, and intelligence … needs. Employ data visualization tools like Power BI, Tableau, or Qlik to translate data insights into actionable intelligence. Required Qualifications: 4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. 5+ years of proficiency in at least one analytical/ More ❯

Benefits/Contract options available Start Date: Flexible? About the RoleWe’re hiring a remote AI Engineer with strong Python skills to help build intelligent systems across domains like machine learning , natural language processing , and generative AI . You’ll be part of a collaborative team working on real-world applications, from prototyping to production deployment.This is a … on role ideal for someone who enjoys solving complex problems, writing clean code, and staying at the forefront of AI innovation.?? Key Responsibilities Design and implement scalable AI/ML pipelines using Python Build, fine-tune, and deploy machine learning models (including LLMs and transformers) Develop APIs and backend services to integrate AI models into applications Collaborate on … research and tools, and apply them to real-world use cases Contribute to code reviews, testing, and documentation Required Skills & Experience Strong proficiency in Python and its AI/ML ecosystem (e.g. NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of More ❯

/Contract options available Start Date: Flexible About the Role We're hiring a remote AI Engineer with strong Python skills to help build intelligent systems across domains like machine learning , natural language processing , and generative AI . You'll be part of a collaborative team working on real-world applications, from prototyping to production deployment. This is … on role ideal for someone who enjoys solving complex problems, writing clean code, and staying at the forefront of AI innovation. Key Responsibilities Design and implement scalable AI/ML pipelines using Python Build, fine-tune, and deploy machine learning models (including LLMs and transformers) Develop APIs and backend services to integrate AI models into applications Collaborate on … research and tools, and apply them to real-world use cases Contribute to code reviews, testing, and documentation Required Skills & Experience Strong proficiency in Python and its AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of More ❯

integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior engineers and data scientists to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. Basic understanding of machine learning algorithms and model evaluation techniques. Strong analytical More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting … business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering … applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform More ❯

pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future. You'll be joining our team of nine as a senior ML engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product. We're building a SaaS product that will … Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new … ideas and ML concepts to the rest of the team Technologies We Use Machine Learning: Python/PyTorch CI/CD: Github, Github Actions. Frontend/Backend: TypeScript with React/Next.js and Express/Prisma. Infrastructure: Docker, Kubernetes, Terraform (AWS). Database: PostgreSQL. Salary £85,000-130,000 depending on experience. Even if you don't have More ❯

pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future. You'll be joining our team of nine as a senior ML engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product. We're building a SaaS product that will … Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new … ideas and ML concepts to the rest of the team Technologies We Use Machine Learning: Python/PyTorch CI/CD: Github, Github Actions. Frontend/Backend: TypeScript with React/Next.js and Express/Prisma. Infrastructure: Docker, Kubernetes, Terraform (AWS). Database: PostgreSQL. Salary £85,000-130,000 depending on experience. Even if you don't have More ❯

feed into Hastings' market-leading pricing activities. This role is within a combined team of Actuaries and Data Scientists championing the adoption of the latest machine learning (ML) techniques to leverage powerful insights from vast amounts of customer information and augment traditional modelling techniques. The Lead Data Scientist will combine their knowledge and understanding of data science concepts … Scientists Support Senior Leaders in the delivery of strategic objectives Essential skills/experience: Strong technical modelling skills Proven track record of delivering commercial value Keen interest in emerging ML techniques and how these can be used within Underwriting & Pricing Strong experience using Python and ML libraries to build data science/machine learning products Strong senior stakeholder More ❯

What if you could use machine learning to predict human behaviour, not in theory, but in commercially critical decisions that shape what people buy Building the next generation of decision intelligence software, leveraging large scale simulations and behavioural modelling to help global companies … understand how customers respond to pricing, product mixes, and promotions. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing and scaling the ML systems that power this transformation.You'll work closely with Data Scientists, Engineers, and Product teams to build robust, production grade models that deliver real time insights through a modern SaaS … that demand both depth and pragmatism. We're looking for someone with strong Python skills, experience with cloud based data processing, and a track record of delivering reliable, scalable ML systems. Familiarity with tools like PyTorch, scikit-learn, and modern ETL workflows is key. If you've worked in pricing, RGM, or simulation heavy domains, even better. Flexible hybrid setup More ❯

Data & ML Product Lead London (Hybrid) £85,000 - £105,000 We re partnered with one of the UK s leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help … the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of the Data … ML Product Lead: Drive the Data Product strategy that aligns with the business data strategy and goals. Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products Track the data product performance to drive continuous More ❯

Data & ML Product Lead London (Hybrid) £85,000 - £105,000 We’re partnered with one of the UK’s leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help … the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of the Data … ML Product Lead: Drive the Data Product strategy that aligns with the business data strategy and goals. Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products Track the data product performance to drive continuous More ❯

Data & ML Product Lead London (Hybrid) £85,000 - £105,000 We’re partnered with one of the UK’s leading brands that are currently hiring for a Data & ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help … the customers, take on new technologies and develop business outclass. The Data & ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office. Responsibilities of the Data … ML Product Lead: Drive the Data Product strategy that aligns with the business data strategy and goals. Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products Track the data product performance to drive continuous More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

with clients to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a … AI models and make necessary adjustments. Provide training and support to clients on AI tools and best practices. Stay up to date with the latest advancements in AI and machine learning technologies We think you'll be successful in this role if you have some of the following Proven experience in AI and machine learning, with More ❯

us on our mission and shape the future! Why the Cohere EPM role? As our Generative Machine Learning (GenML) organization continues to grow and tackle more ambitious ML programs, we are looking for an Engineering Program Manager (EPM) to join the team! At Cohere, EPMs are pivotal to our success, being seen as operational experts specializing in cross … Manager, you will: Establish, improve, and scale foundational team-level and program-level processes that allow the Generative Modeling teams to execute better and faster Partner directly with Gen ML modeling leadership & Members of Technical Staff on efforts to design, train and improve our core generative models Run cross-functional, oftentimes company-wide programs, collaborating and coordinating with cross-functional … Model Efficiency and Model Serving on cross-team planning and execution to deliver Generative models Troubleshoot cross-team challenges and build dependable partnerships both within and outside the Generative ML organization Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout all layers of the tech organization Respond quickly to program-level changes, clarifying new scope More ❯

pipelines, SCADA and Manufacturing Execution Systems from concept to completion! Aufgaben You will research in the area of industrial software and automation systems with focus on intelligent systems using machine learning and robotic technologies. Drive evolving Research Roads for industrial vertical integration and AI infrastructure for automation, integrating industrial workflows from sensors and controllers to MES and PLM … years of experience in implementing industrial solutions in manufacturing environments, especially MES , SCADA and shopfloor integration 5+ years of experience on SW product development processes for Industrial AI, e.g. machine learning, LLMs, agentic AI Skills in agile software/system engineering methodology und technologies for large-scale distributed systems, edge computing and cloud systems (AWS, Azure), e.g., microservices … event-streaming/messaging, container orchestration (Docker, Kubernetes), DevOps Experience building applications using deep learning frameworks like Keras, Tensorflow, PyTorch in either production or research settings Has experience with the machine learning product lifecycle as well as runtime integration and performance optimization Knowledge in Siemens Software solutions (e.g. Industrial Edge & AI, Opcenter, Tecnomatix ProcessSimulate, Totally Integrated Automation More ❯

identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies. What you'll be doing Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner … intelligently and effectively. About you You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering … in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. More ❯