26 to 50 of 424 Permanent Algorithms Jobs

automation, LLM applications, or workflow orchestration platforms — beyond pilots Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse ...

LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies.* Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design ...

skills (e.g. familiarity with SQL, Python, Java). Strong foundation in statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find effective answers. Familiar with disciplines such as: natural language processing, machine learning, conceptual modelling, statistical analysis, predictive ...

their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors ...

/Linux and Windows environments Strong understanding of agile software development methodologies Solid grasp of fundamental software engineering principles including object-oriented design, databases, algorithms, and data structures Excellent design and problem-solving skills with experience providing architectural guidance Motivation to acquire knowledge of the financial sector (understanding of derivatives ...

marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data ...

Innovation Factory London, UK Qualifications Bachelor’s degree or equivalent practical experience. 8 years of experience in software development and with data structures/algorithms in either C, C++, Python, Java or Go. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing ...

projects. Essential Skills & Experience: Proficiency in C++ and object-oriented programming. Strong debugging, fault isolation, and problem-solving abilities. Knowledge of data structures, algorithms, and software design patterns. Experience with code configuration management systems (e.g., Subversion). Understanding of network programming, data serialization, and database design/administration. Front ...

highly innovative, research-driven technology start-up working on cutting-edge systems. This organisation is building advanced platforms at the intersection of AI, complex algorithms, and next-generation software systems. With strong funding secured and ambitious growth plans, they are looking to bring on an experienced Front-End Developer ...

/Azure) Experience with JavaScript (Node.js), SQL Server, React, HTML, Scrum methodologies, Agile processes, JIRA, CSS, and Git (the normal stuff) Solid understanding of algorithms and data structures; AI/ML and NLP a plus but not required for this role 3+ years experience; ideally 5 or more BONUS: Foreign ...

Design, Engineering) Experience recruiting and mentoring junior engineers is a plus 💡 Skills Proficiency in modern programming languages and frameworks Strong grasp of data structures, algorithms, and software design principles Experience with databases, APIs, and networking Knowledge of software testing methodologies and tools Familiarity with DevOps practices and tooling Ability ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

continuous integration and delivery processes. • Pipeline Implementation: Build and manage complex pipelines to ensure automated testing and reliable deployment of Java-based trading algorithms, including scaling Jenkins or migrating to alternatives like GitHub-Actions. • Infrastructure & Containerization: Manage application containerization using Docker to maintain consistency across development, testing, and production environments. ...