151 to 175 of 1,441 Algorithms Jobs

Masters degree in Computer Science, Information technology, or a related field. University coursework must have included: JUnit & Mockito; PL/SQL; Compiler theory, parsing algorithms, lexical analysis, semantic analysis, and code generation; Algorithmic problem-solving, optimization techniques, and computational complexity; Object-oriented programming, recursion, data structures, GUI development. Work location: Atlanta, GA, or other unanticipated locations throughout the U.S. More ❯

end delivery of complex data science and machine learning projects Define and drive data science strategies that align with client goals and broader organizational objectives. Develop tailored models and algorithms to solve unique client problems to deliver real business value. Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools. More ❯

end delivery of complex data science and machine learning projects Define and drive data science strategies that align with client goals and broader organizational objectives. Develop tailored models and algorithms to solve unique client problems to deliver real business value. Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools. More ❯

end delivery of complex data science and machine learning projects Define and drive data science strategies that align with client goals and broader organizational objectives. Develop tailored models and algorithms to solve unique client problems to deliver real business value. Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools. More ❯

end delivery of complex data science and machine learning projects Define and drive data science strategies that align with client goals and broader organizational objectives. Develop tailored models and algorithms to solve unique client problems to deliver real business value. Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools. More ❯

end delivery of complex data science and machine learning projects Define and drive data science strategies that align with client goals and broader organizational objectives. Develop tailored models and algorithms to solve unique client problems to deliver real business value. Stay at the forefront of AI/ML trends and emerging technologies, identifying opportunities to apply new techniques and tools. More ❯

Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data algorithms, advanced visualisations, cloud or UI. There s plenty of room to stretch your skills - and plenty of fascinating challenges. Apply today for this hybrid role in Bristol and help us More ❯

Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data algorithms, advanced visualisations, cloud or UI. There’s plenty of room to stretch your skills - and plenty of fascinating challenges. Apply today for this hybrid role in Bristol and help us More ❯

Computer Science, Engineering, or a related field. 1+ years of professional development experience as a Software Engineer in either C++, Python, Java or Rust. Strong understanding of data structures, algorithms, and software design principles. Experience with multi-threaded programming and real-time systems (C Java) Experience writing software for massive scale (Up to 100s billions of records at a time More ❯

stack development experience Strong Java unit testing (with a side of TDD), Maven, Git and a sense of humor. Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Agile awareness, Python PostgreSQL + Timescale SQL and NoSQL technologies You will have knowledge of software development and some More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

writing clean, elegant code Strong skills in C++ on Linux, plus Python or C# would be useful Willingness to learn new languages quickly Highly proficient in computer science fundamentals: algorithms, memory & concurrency models, CPU-architecture, operating systems, relational databases, etc. Degree in Computer Science, Maths, Physics (or similar) from a top-tier university Finance experience would be beneficial but not More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

a Quantitative Developer within a hedge fund, prop trading, or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability to collaborate across research More ❯

innovation in pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple More ❯

a self-starter, thrive under pressure and excel when given ownership of projects and responsibilities. Work is varied; example projects include: Investigate and design data mining and machine learning algorithms Research modeling and forecasting future price actions Develop and improve scalable quant research frameworks using Python and C++ Serve as an advisor across a the business, providing new and innovative More ❯

skills, and proven expertise in modern machine learning techniques, including Computer Vision, Natural Language Processing, and Deep Learning. ---------------------------------------- Key Responsibilities Design, build, and deploy advanced machine learning models and algorithms into production. Lead technical development within cross-functional teams, providing guidance on ML solution design and implementation. Translate business problems into clearly defined data science solutions and deliver end-to More ❯

related field preferred Experienced with database systems, SQL and full proficiency in Power BI Mathematically minded with solid knowledge of statistical methods and probability Experienced with various machine learning algorithms and frameworks Analytical with a sound problem solving ability Task orientated with a solid sense of urgency Excellent communication skills with the ability to explain complex data results to internal More ❯

Experience: Proven experience as a Full Stack Developer, ideally within computer vision product environments. Front-End: Strong proficiency in PHP, HTML, CSS, and JavaScript, with experience implementing computer vision algorithms on the front end. Back-End: Expertise in Python, PHP, and C++, with hands-on experience using frameworks such as Flask and Django, and integrating computer vision capabilities. Computer Vision More ❯