1 to 25 of 837 Permanent Algorithms Jobs

bets. Our software provides customers with a new level of flexibility over the way they manage their Sportsbooks to meet their financial objectives. Smart algorithms allow decisions about bets to be taken quickly at scale while enabling close control when desired, reminiscent of earlier days of sports betting. ...

cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation ...

Experience with at least one object-oriented programming language (e.g. Java, Python, C++) Strong understanding of core software engineering principles (data structures, algorithms, problem-solving) Passion for technology, with evidence of coding beyond academic work (e.g. personal projects, GitHub, hackathons) Strong analytical thinking and attention to detail Collaborative mindset with ...

from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing, and develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. ...

development of presentation decks and communication Preferred Criteria Experience or knowledge covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job responsibilities Design ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job Responsibilities Design ...

Storytelling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch ...

years relevant experience. • Proficiency in at least one modern programming language (e.g., JavaScript/TypeScript) • Strong understanding of object oriented design, data structures, algorithms, and complexity analysis • Experience with the full software development lifecycle and modern development practices • Ability to quickly adapt to new tools, technologies, and environments • Hands ...

Proficiency in at least one general-purpose programming language (Python preferred; Java, C++, etc. also considered) Understanding of core computer science principles (data structures, algorithms, complexity) Exposure to DevOps practices (e.g., GitHub workflows, CI/CD) Desirable: experience with Azure or healthcare-related data projects Bonus: interest in machine learning ...

Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms Pragmatic engineering approach with focus on real world problem solving, not letting perfect be the enemy of good We’d love to see: A background ...

methods for automating compliance functions and improve existing methods. Additionally, the Engineer will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. Lastly, the Engineer will develop models and implement appropriate metrics and monitoring of developed tools, functions ...

related STEM field Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning Excellent collaboration and communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging from ...

similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand ...

similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand ...

associated USINDOPACOM data assets Determine which data are available and useful for the project Collect, categorize, and analyze data Create, validate, test, and update algorithms and models Use data visualization software to present findings Make recommendations to operators for JFN stakeholders based on data analysis What you will do Work ...

equivalent experience) Strong understanding of Python Basic knowledge of machine learning concepts Good problem-solving and analytical skills Understanding of data structures and algorithms Ability to work in a team environment Strong attention to detail Desirable (Nice to have) Experience with TensorFlow, PyTorch, or scikit-learn Knowledge ...

enterprise experience developing software in C++ and Python A degree in Computer Science, Engineering, Mathematics, or equivalent practical experience Strong understanding of data structures, algorithms, and software design principles Experience designing and maintaining distributed, fault‐tolerant systems Familiarity with CI/CD pipelines, automated testing, and agile development practices ...

processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. ...

processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. ...

data processing, analysis, and model creation. Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency. Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model ...

storage, and reporting Skilled in converting unstructured data into vector embeddings using machine learning models Skilled in building vector databases and indexing using specialized algorithms Skilled in implementing LLMs with large datasets and complex data models Previous experience at a FinTech, Tech Startup, or a product company building SaaS platforms ...

Your Profile Essential skills/knowledge/experience: (Up to 10, Avoid repetition) Proficiency in Python programming Foundational understanding of machine learning concepts and algorithms Familiarity with frameworks such as TensorFlow (or PyTorch equivalent) Basic knowledge of Natural Language Processing (NLP) techniques Understanding of Neural Networks and deep learning fundamentals ...

associated USINDOPACOM data assets Determine which data are available and useful for the project Collect, categorize, and analyze data Create, validate, test, and update algorithms and models Use data visualization software to present findings Make recommendations to operators for JFN stakeholders based on data analysis What you will do Work ...

JavaScript/TypeScript and React Experience or familiarity with backend languages such as Java, Python, or Go Solid understanding of software engineering fundamentals, including algorithms and data structures Experience using Docker for containerisation Good understanding of DevOps practices, including CI/CD pipelines and automated testing Strong communication skills with ...