1 to 25 of 496 Algorithms Jobs

/CD tools (e.g. Docker, Jenkins) and DevOps practices Understanding of software testing, debugging, and SDLC Strong foundation in data structures and algorithms Projects or internships showcasing software development skills Graduate Development Experience Our graduate experience is designed to help you build the skills, mindset, and confidence to thrive ...

software engineering experience, or equivalent SRE-DevOps experience with strong software development skillsStrong programming skills in Python, Java, or GoSolid understanding of data structures, algorithms, system design, and distributed systemsExperience with cloud platforms (AWS, GCP, or Azure)Familiarity with containerization and orchestration technologies such as Docker and KubernetesExperience with ...

Engineering, or Mathematics (STEM) or similar technical degree Experience designing and programming with C++, Java or other object-oriented language Knowledge of data structures, algorithms, memory management, and multithreaded applications Experience utilizing Generative AI tools or machine learning-assisted technologies to accelerate technical workflows, automate repetitive tasks, improve code quality ...

Engineering, or Mathematics (STEM) or similar technical degree Experience designing and programming with C++, Java or other object-oriented language Knowledge of data structures, algorithms, memory management, and multithreaded applications Experience utilizing Generative AI tools or machine learning-assisted technologies to accelerate technical workflows, automate repetitive tasks, improve code quality ...

Financial Services, FinTech, Trading, Low Latency, C++, Linux) Lead rapid prototyping and validation efforts: Design and implement proof-of-concept solutions for new trading algorithms and system approaches, with emphasis on speed-to-market and iterative feedback from stakeholders. Drive troubleshooting investigations: Investigate complex production issues, performance anomalies, and system ...

experience building enterprise applications and modern web technologies in production environments • Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code • Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development ...

technologies Knowledge of Chromium and/or Firefox browser architectures and code bases Strong understanding of object-oriented design principles, data structures and algorithms Experience using source control systems and modern software development practices (Git, Azure DevOps, GitHub) Experience contributing to automated testing, CI/CD pipelines and software quality ...

Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management We give back to the technology community and you can read ...

Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience ...

analytical solutions that solve high-impact business problems and enable data-driven decision-making. Responsibilities include evaluating new data sources, developing predictive models, statistical algorithms, AI/ML solutions, and proof of concepts, and translating research into production-ready capabilities. The Senior Data Scientist I builds data pipelines and analytical ...

complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development ...

agentic workflows, implementing RAG architectures, and integrating AI capabilities into existing products and systems Deep ML technical skills – Strong proficiency in Python and ML algorithms ranging from classical techniques to deep learning; proven experience training, fine-tuning, and deploying neural network models using PyTorch with focus on performance optimization ...

outcomes. SkillsAI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

focused Data Scientist position. We're looking for someone who enjoys solving complex mathematical problems and has the technical ability to turn models and algorithms into reliable, production-ready software. You'll work across data science, machine learning, data engineering and AI development, with the opportunity to influence new product ...

Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature ...

integrating AI agents with engineering pipelines and enterprise data. Experience with microservice based architectures and containerisation. Experience building and working with mathematical algorithms, or with geospatial, catastrophe or financial-modelling data. Experience understanding and translating complex business processes across multiple stakeholder groups. BSc degree qualified in a quantitative discipline (Mathematics ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

optimizes embedded AI/ML software for edge devices, including PCs, docking solutions, displays, peripherals, and other intelligent client platforms. Converts AI/ML algorithms and proof-of-concept models into efficient, production-quality embedded implementations optimized for latency, memory, power, and compute constraints. Integrates machine learning inference engines, model ...

industry, customer, safety, and regulatory requirements Translate customer needs and requirements into initial software designs and implementation plans Develop, document, and maintain software architectures, algorithms, interfaces, and detailed designs Develop, integrate, and optimize software products and system integrations, including supplier-supplied components Debug complex issues, lead root-cause analysis ...

experience with an Object-oriented language (preferably Java), Multi-Threading and any relational databaseSolid architectural understanding of enterprise applicationsUnderstanding of computing science fundamentals – concurrency, algorithms, data structures, design patterns, etc. PreferredExperience with Java Core, Spring framework and LinuxExperience developing large financial software trading systems with substantial hands-on development experience ...

objectives, constraints and trade-offs for complex ML systemsModel Development & ProductionDesign and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability ...

Need to Have: Deep ML technical expertise – 12+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions ML architectural mastery ...

Need to Have: Deep ML technical expertise – 10+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions ML architectural mastery ...

generative and agentic AI.Mandatory Skills Strong expertise in Generative AI technologies. Proven experience with Agentic AI frameworks and methodologies. Solid understanding of machine learning algorithms and data structures. Experience in designing scalable AI architectures. Proficiency in programming languages such as Python, Java, or similar. Preferred Skills Experience with cloud-based ...