101 to 125 of 1,694 Permanent Algorithms Jobs

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 ...

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 ...

ability to work collaboratively in a fast-paced, dynamic environment Good understanding of the foundational principles and practical implementations of statistics and machine learning algorithms such as supervised and un-supervised learning, deep learning, reinforcement learning, etc. Preferred qualifications, capabilities, and skills Strong analytical skills with an understanding of financial ...

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 ...

Passion for writing clean, maintainable and testable code. Solid understanding of Linux environments. Experience with SQL and advanced database querying techniques. Strong grasp of algorithms, data structures and software engineering fundamentals. Computer Science degree or equivalent technical background. Highly Desirable Experience with Test-Driven Development (TDD), Behaviour-Driven Development ...

Passion for writing clean, maintainable and testable code. Solid understanding of Linux environments. Experience with SQL and advanced database querying techniques. Strong grasp of algorithms, data structures and software engineering fundamentals. Computer Science degree or equivalent technical background. Highly Desirable Experience with Test-Driven Development (TDD), Behaviour-Driven Development ...

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 ...

traditional machine learning techniques. You don't need to be an ML expert, but should have an interest in how statistical models and algorithms can be applied to real-world software products. This is a remote role with occasional travel into central Birmingham (approximately once a month). Key Responsibilities ...

meet you! You will be responsible for: Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating with clients and internal teams ...

technical and non-technical audiences. A proven track record of turning business problems into measurable outcomes. Nice to Have Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits. Exposure to Generative AI, LLMs or agentic AI systems. MLOps experience, including CI/CD, model monitoring and deployment pipelines. Experience ...

software solutions, design, development, and technical troubleshooting to build innovative solutions and address complex technical challenges Create secure, high-quality production code and maintain algorithms that integrate seamlessly with systems Leverage enterprise-authorized AI coding assist tools to enhance code quality, delivery speed, and productivity, validating outputs through peer review ...

ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. ...

think beyond routine or conventional approaches to build solutions or break down technical problems Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

related field (or equivalent experience). 5+ years of experience in developing and deploying machine learning models. Strong understanding of machine learning algorithms, deep learning architectures, and statistical concepts. Proficiency in programming languages like Python (with libraries like TensorFlow, PyTorch, scikit-learn). Experience with data wrangling tools and technologies ...

track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge ...

assisted development and automation capabilities, to improve the value realized by automation at scale. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch). Understanding of statistical modelling and machine learning algorithms Excellent analytical, problem-solving, and communication skills. Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment. ABOUT GOLDMAN SACHS At Goldman Sachs ...

ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

languages, code analysis, and building complex systems in a modern engineering environment. Key experience includes: experience with and strong interest in programming languages, parsing algorithms, interpreters, and compilers extensive experience in Java (or a low-level language) and at least one other programming language experience with and clear understanding ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking - with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

techniques quickly. Python and Data Structures: Strong Python programming skills, including familiarity with NumPy, Pandas, scikit-learn and core concepts such as data structures, algorithms and computational complexity. Quantitative Research: Strong analytical skills and the ability to formulate hypotheses, test ideas rigorously and interpret empirical results. Financial Markets: Demonstrable interest ...