1 to 25 of 568 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 ...

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 ...

data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems Deploy ML solutions and develop methodologies to scale up Present ...

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 ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have team leadership experience, happy to mentor and develop others as well as provide 1-2-1s and performance reviews You're collaborative ...

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 ...

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 ...

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 ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

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 ...

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 ...

procedures, documenting test results, and modeling against real-world data, test data, benchmarks, or other similar models Contributes to documenting and maintaining technical code, algorithms, specifications, and descriptions of simulation models Supports partnership with cross-functional engineering teams to enable integration of simulation software with hardware devices and systems Supports ...

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 ...

core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data ...

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 – 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 ...

problem-solving abilities. Some knowledge of crypto would be ideal too. Requirements 3+ years of practical experience in C++ Strong proficiency with data structures, algorithms, and OOP Sound experience using other programming languages, e.g. Java, Python Solid working knowledge of Linux Degree in Computer Science or related field Experience ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and pragmatic with great communication skills You're degree educated in a STEM discipline, having achieved a 2.1 or above What ...

influencing technical decisions and supporting capability growth. Experience with big data tools e.g. Spark, Hadoop, NiFi Exposure to Ansible and Terraform Understanding of ML algorithms and deployment ...