426 to 450 of 4,490 Algorithms Jobs

for Time Series:Conduct thorough audits and cleansing of time series data, develop strategies for managing seasonality, trends, and noise to power insightful predictive models Develop Scalable Time Series Algorithms: Craft algorithms and models that are accurate and adaptable for time series data, ensuring reliable predictions and insights from evolving datasets From Prototype to Production: Collaborate with the engineering team More ❯

Our Vision: DeGould's vision is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: Assist in the development, testing, and optimisation of localisation algorithms that help systems understand and track their position. Help write clean, maintainable, and efficient Python code to support localisation pipelines and related tools. Work with camera data to clean, preprocess … sensing, image projection. Ability to perform well under pressure in a fast moving, dynamic environment. A degree in Computer Science, Engineering or related discipline. Ability to read and understand algorithms written in C++. Knowledge of camera and imaging concepts such as focal length, focus, aperture, motion blur, and ISO. Familiarity with version control systems such as Git, SVN or Mercurial. More ❯

Disney+, Hulu and Star+). As the Senior Manager of User Access, you will manage a large team of engineers to design, build, and manage scalable distributed systems & applied algorithms that power multiple experiences for Disney Streaming. This team has an enormous impact on millions of users of our streaming applications. You will work closely with senior engineering leadership and … Disney+, Hulu and Star+). As the Senior Manager of User Access, you will manage a large team of engineers to design, build, and manage scalable distributed systems & applied algorithms that power multiple experiences for Disney Streaming. This team has an enormous impact on millions of users of our streaming applications. You will work closely with senior engineering leadership and More ❯

simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction. The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models … simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction. The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models More ❯

sources to prepare them for analysis and modelling. Apply advanced statistical and machine learning techniques to identify patterns, correlations, and trends in the data. Build and validate predictive models, algorithms, and statistical analyses ensuring they are robust, scalable, and aligned with business objectives. Collaborate with engineering and data platform teams to implement CI/CD pipelines, model monitoring, and automated … including CI/CD pipelines, model monitoring, and lifecycle management. Knowledge of Power BI or other data visualisation tools Experience of applying knowledge of statistical analysis techniques, machine learning algorithms and predictive modelling, with a track record of taking models from experimentation to production deployment. Demonstrated ability to operationalize data science solutions, ensuring models are robust, scalable, and integrated into More ❯

experiments, and testing hypotheses, all while enjoying the dynamic "skunk-works" environment! You'll be an integral part of our team, contributing to optimising processes, leveraging new tools and algorithms, and creating visualisations to monitor key metrics! Your documentation skills will ensure that projects are well-documented and progress is tracked efficiently. This role promises a blend of creativity, teamwork … Identify and implement innovative solutions based on client needs and market trends. Collaborate with the team to code essential systems, run experiments, and test hypotheses. Apply new tools and algorithms to optimize existing processes and enhance functionality. Create visualizations to track and monitor key metrics and project progress. Document projects thoroughly to ensure efficient tracking and future reference. Engage in More ❯

is on building innovative next generation features to coach users to better health and well being. We are bringing together large quantities of data, extensive experience in mobile sensing algorithms, and generative AI to help our users derive meaning from the measurements we have and to offer them personalized coaching experiences. We work at the intersection of product and research … do this with a suite of apps, services, and health wearables. We aim to make consumer health more personal, proactive, and actionable. Responsibilities Lead the development of advanced sensor algorithms and an agentic framework to fuse them into an advanced health coach. Design and implement critical system components (both as an IC and through the team). Vet design proposals More ❯

quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published your academic work in journals Finance experience preferred but not essential A generous total compensation package is on offer with More ❯

quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published your academic work in journals Finance experience preferred but not essential A generous total compensation package is on offer with More ❯

of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees … considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning More ❯

and model building using industry standard time Series Forecasting techniques like ARIMA, ARIMAX, Holt Winter and formulate ensemble model. Proficiency in both Supervised (Linear/Logistic Regression) and Unsupervised algorithms (k means clustering, Principal Component Analysis, Market Basket analysis). Experience in solving optimization problems like inventory and network optimization. Should have hands on experience in Linear Programming. Work closely … able to work with business owners to develop and define key business questions and to build data sets that answer those questions. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. About the team Diverse Experiences: Amazon values diverse experiences. Even if you do not meet all of the More ❯

to extract valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient … data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as More ❯

to extract valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient … data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as More ❯

of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Broader range of degrees will be … considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning More ❯

of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees … considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning More ❯

of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees … considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning More ❯

will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing … Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research initiatives in anomaly detection, contributing to the authorship of research papers and presenting at relevant conferences. Data Analysis: Perform extensive data analysis and preprocessing to uncover patterns and improve detection accuracy. Collaboration: Work with cross More ❯

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

using advanced machine learning methods such as deep learning and quantitative analytics. Design and develop experiments with generative AI models and deep learning architectures. Consult on implementing and optimizing algorithms for content generation, including text, image, audio, and video formats. Identify and pursue innovative opportunities through discovery analytics. Deliver Scalable AI Solutions Define approaches to embed and scale machine learning … models within customer data platforms and enterprise systems. Partner with engineers and developers to deploy ML algorithms that deliver tangible business value. Ensure the scalability and efficiency of AI solutions in real-world production environments. Consult and Guide with Impact Understand business requirements and support the development of business cases. Communicate insights and provide data science leadership to senior client More ❯

will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing … Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research initiatives in anomaly detection, contributing to the authorship of research papers and presenting at relevant conferences. Data Analysis: Perform extensive data analysis and preprocessing to uncover patterns and improve detection accuracy. Collaboration: Work with cross More ❯

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

the Role: We are looking for an engineer to work on building and maintaining scalable data infrastructure/platforms and tools for our team. Someone with foundational knowledge in algorithms, software engineering/development and operational research is highly preferred. In short, someone who has the technical groundwork, ready to gain experience and communicates well with others. What You'll … community (GitHub, Stack Overflow, blogging). Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch Prior experience in the cybersecurity or intelligence fields. Bring your experience in distributed technologies and algorithms, your great API and systems design sensibilities, and your passion for writing code that performs at extreme scale. You will help build a platform that scales to millions of events More ❯

.Net Core; Java, Python, or C++ experience considered if willing to switch to C# Solid knowledge of SQL databases Understanding of Computer Science fundamentals: OOP, Data Structures, Design Patterns, Algorithms Entrepreneurial mindset with ownership and leadership qualities Collaborative problem solver who enjoys sharing ideas What We Offer Competitive salary up to £180k Significant bonus potential Fund performance shares Personal training More ❯

modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their algorithms and functioning. Hyperparameter tuning for existing machine learning models to optimize performance. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and insights. Conduct A … success Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In-depth knowledge of machine learning algorithms, particularly tree-based models, and their application to structured data. Familiarity with SQL and experience working with relational databases. Python/R programming experience (pandas, scikit-learn, matplotlib, etc) Excellent More ❯

Requirements Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯