826 to 850 of 1,491 Permanent Algorithms Jobs

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

APIs, service discovery, and messaging patterns Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker; Kubernetes a plus) Strong software engineering fundamentals: clean code, testing, performance optimization, OOP, algorithms Familiar with SQL and NoSQL databases (PostgreSQL, MongoDB) and CI/CD pipelines Comfortable in fast-changing environments with a strong sense of ownership and collaboration Growth mindset with a More ❯

robotics and autonomous systems data. Robotic systems generate a large volume of data from sensors and internal processing. Storing and reusing that data to validate and develop new autonomy algorithms is a crucial element of building innovative and robust autonomy capability. The data engineer will work in a team of autonomy-, front-end-, and devops-focused engineers to conceive, architect More ❯

reliability. Collaborate with multidisciplinary teams to integrate storage, processing, and connectivity capabilities into satellites. Take part in the development of the payload RF frontend and contribute on signal processing algorithms tailored for space applications. Ensure comprehensive testing, validation, and verification of systems to meet regulatory and industry standards. Monitor system performance and provide troubleshooting support for deployed systems, ensuring mission More ❯

systems. Work closely with hardware engineers to synchronise optical components. Work closely with the team and ensure a smooth integration of hardware and software elements. Implement real-time control algorithms to manage the timing and operation of optical devices and their communication with the system. Optimising the FPGA design over time to enhance system performance and reliability. Conduct rigorous testing More ❯

world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other More ❯

world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other More ❯

scripts in languages such as Bash, Python to automate tasks and streamline operations. Nice to have: Familiarity with AI/ML-driven build automation tools that leverage machine learning algorithms to optimize and predict release pipeline cycles, enhancing efficiency and accuracy across the CI/CD process. Experience with predictive analytics for CI/CD , enabling proactive identification of potential More ❯

Nordics, and India, and are experiencing profitable growth of over 30% annually, with expectations for sustained expansion in the future. Our patented intelligent automation platform has over 250 AI algorithms that reduces manual effort and shortens digital transformation timelines for SAP customers. Our technology is used by some of the largest enterprises in the world including Airbus, BMW, Procter & Gamble More ❯

life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience building complex software systems that have been successfully delivered to customers - Knowledge of algorithms, data-structures, efficiency, concurrency, performance optimization. - Experience in cloud computing and distributed architectures. - Experience of designing and building high availability systems that scale. - Experience in data manipulation and analysis, including More ❯

as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Key job responsibilities • Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI • Translate product and CX requirements into measurable science problems More ❯