351 to 375 of 933 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 ❯

AI research and project management/project delivery • AI frameworks and tools, such as TensorFlow, PyTorch, or similar technologies • Artificial Intelligence (AI) and Machine Learning (ML) technologies, including various algorithms, neural networks, deep learning, natural language processing (NLP) etc • Legal and regulatory requirements applicable to the financial services industry, such as GDPR, Data Sharing, CCPA, or specific financial regulations • Relationship More ❯

Analysts Level 4 Bachelor Degree with 11 years of experience. Other degrees may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics). Certifications: 18 semester hours of military training More ❯

o YOLO object detection frameworks Core Python Skills : * Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical More ❯

o YOLO object detection frameworks Core Python Skills : * Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical More ❯

must be in Computer Science or related fields (Engineering, Mathematics) Other degrees may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics). Perks and Benefits: 8 weeks paid leave More ❯

agent performance tracking Create robust authentication and authorization systems for agent access Data & Knowledge Management: Design and implement RAG (Retrieval-Augmented Generation) systems Optimize vector embeddings and similarity search algorithms Build knowledge graph integration for enhanced agent reasoning Implement efficient caching and data persistence strategies Required Technical Skills: Core AI/ML Frameworks Expert-level proficiency with LangGraph for agent More ❯

standards, ensuring that all technology and AI change initiatives adhere to these requirements. Oversee the ethical implementation of AI, ensuring that concerns regarding bias, fairness, and transparency in AI algorithms and decision-making are appropriately addressed. Provide regular reports and updates to senior management and relevant stakeholders regarding technology risk management activities, including identified risks and mitigation strategies. Maintain relationships More ❯

automation. On the SRE team, you'll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide More ❯

solutions, including Snowflake. Understanding of personalization for various domains, including sports betting and gaming, where it might add value and what best practices look like. Full understanding of recommendation algorithms and their applications. Professional experience in personalization and/or predictive CRM, and micro-segmentation. Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools (Terraform, Bicep, etc. More ❯