101 to 125 of 696 Remote Computer Science Jobs

in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong More ❯

list of skills. If you think you have other experiences that would make you a good match for this role, please apply! Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, Math, or a related field 3-5 years of professional experience in machine learning, MLOps or related fields Working knowledge of machine More ❯

soil research Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) & Soil Science Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more … sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights. Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data … Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code Collaborate with our Engineering department to align code design, versioning strategies, and release cycles Essential Qualifications Computer Science degree Geospatial experience Engineering career path Deep knowledge of R programming and package development Proven experience managing dependencies and ensuring reproducibility in R production environments Strong background More ❯

Position with our automotive client: Full-stack Software Engineer: Diagnostic Tools, Infrastructure and Telediagnosis Develop, create, modify, validate and release computer applications software in the domain of medium and heavy-duty commercial vehicle Diagnosis. Analyze user needs and develop software solutions. Design software or customize software for client use with the aim of optimizing operational efficiency. Proficiency in C# … a Hybrid working arrangement that would typically require you to be in person 4 days a week, with 1 day remote Minimum of Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent required. Experience with Object Oriented software programming technologies Proficient with Microsoft Windows operating systems. Contact: Rashmi Upadhyaya More ❯

compliance with data privacy, ethics and regulatory requirements with a strong focus on embedding Responsible AI principles. Degree or postgraduate qualification in a numerate or quantitative discipline (e.g., Mathematics, Computer Science, Statistics, Management Science, Information Management, Economics) or equivalent industry experience. What we offer At Davy, our people are our biggest investment. In today's fast-moving More ❯

agile environment. Exposure to key technology sets and adjacent domains like other platforms, networks, and security. Understanding of optimization and simulation principles using software packages. Bachelor's degree in computer science, information systems, computer engineering, industrial engineering, or related field preferred. Optilogic is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard More ❯

may be a fit, click here to submit a referral. If your referral is hired, you'll receive a $3000 payment! Code extrefer. #onelmjob #RMSIL2025 Basic Qualifications: • Bachelor of Science in Engineering, Computer Science, or related discipline. May substitute four years' experience in lieu of a Bachelor's Degree. • Fourteen (14) years' experience as a SWE in More ❯

Python Understanding of the Software Development Lifecycle Desirable Qualifications/Requirements Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and coding principles Bachelor's degree in computer science or 'STEM' Majors (Science, Technology, Engineering and Math) with advanced experience Experience using Github Experience using IBM Engineering Workflow Management Familiarity with regulatory or quality frameworks More ❯

Python Understanding of the Software Development Lifecycle Desirable Qualifications/Requirements Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and coding principles Bachelor's degree in computer science or 'STEM' Majors (Science, Technology, Engineering and Math) with advanced experience Experience using Github Experience using IBM Engineering Workflow Management Familiarity with regulatory or quality frameworks More ❯

Python Understanding of the Software Development Lifecycle Desirable Qualifications/Requirements Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and coding principles Bachelor's degree in computer science or 'STEM' Majors (Science, Technology, Engineering and Math) with advanced experience Experience using Github Experience using IBM Engineering Workflow Management Familiarity with regulatory or quality frameworks More ❯

Florida . Remote work is not available for this role. Travel requirements: Willingness and ability to travel up to 25%. Necessary Skills and Experience Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical discipline. Master's degree preferred. 5+ years of professional experience in software engineering, machine learning, or related fields. More ❯

We are seeking an Agentic AI Engineer to join our growing AI & Data Science team. This role focuses on building, deploying, and scaling agentic AI systems -autonomous, goal-driven AI agents that augment decision-making, automate complex workflows, and deliver actionable insights across Exiger's risk and compliance platforms. You will work closely with data scientists, software engineers, and … ethical standards. Stay on the cutting edge of AI research, particularly in agentic architectures, reinforcement learning, and multi-agent systems. Professional Experience Required: Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related field (PhD preferred but not required). Strong programming skills in Python and experience with AI/ML libraries More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias … ML systems At least 2 years of experience leading teams developing ML solutions At least 4 years of people management experience. Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark More ❯

the end of each sprint â Stay current with emerging technologies and trends in geophysical computing and software development. Required Education and Skills â BS or MS degree in computer science, Geoscience, Applied Mathematics, or a related engineering discipline. â Minimum of 10 years of experience in software development using Java â Ability to break down complex development More ❯