1 to 25 of 847 Algorithms Jobs

About the Role: We're looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms-from real time currency exposure forecasting to automated hedging strategies-to improve Remitly's overall risk management and liquidity planning. This role is based in London reporting to the Head More ❯

level applications Extensive professional knowledge, experience, and understanding of at least one modern programming language, such Java, Scala, and Go. Extensive experience with software engineering principles, including data structures, algorithms, and design patterns. Hands-on experience with cloud technologies (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent communication skills, both written and verbal. Preferred technical and professional experience Master More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

Personalization systems. 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration. Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages. Proficiency with tools and LLMs. Ability to work independently and More ❯

computing libraries (NumPy, Pandas, Scikit-learn, SciPy). Hands-on experience with geospatial Python libraries such as GDAL, GeoPandas, Shapely, Rasterio, Folium, or similar. Solid understanding of machine learning algorithms, statistical modeling, and time series analysis. Experience with geospatial data formats (GeoJSON, Shapefiles, GeoTIFF, NetCDF) and coordinate reference systems. Proficiency in SQL and experience working with spatial databases (PostGIS preferred More ❯

work in C++ A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms Excellent communication skills, comfortable interacting with business teams We'd love to see Experience developing on Linux-based platforms Experience with network protocols such as TCP, UDP and multicast Knowledge More ❯

for text, and retrieval augmented generation (RAG). Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects. Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks. Experience with version control systems like Git, enabling effective collaboration and code management. Experience in an ML engineer or data More ❯

Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients Lead data science product development start to end from PoC More ❯

that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m More ❯

Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. Basic Qualifications: TS/SCI with Polygraph 10 years experience deploying machine learning algorithms is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required. 7 additional More ❯

UI/UX principles and design tools. Experience with database management, data modeling, and querying (e.g., Oracle, SQL), including Oracle DB Development, Postgress, SQL, and MS DBs. Experience with algorithms, data structures, and system design. Experience in ITIL and IT project management via various SDLCs (i.e. Agile, Waterfall, Hybrid, etc.) Participating in cross-functional technology teams. Knowledge, Skills, and Abilities More ❯

to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building More ❯

Experience in Python Good understanding of Data Structures and Algorithms, Networking and Operating Systems. Experience with XML, REST, JSON. Understanding of software development lifecycle processes. Experience with Scrum, Agile and iterative approaches is a plus. Excellent communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Team player, possessing strong analytical, problem solving and More ❯

and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience in areas such as Generative AI, Foundation Models, Parameter-Efficient More ❯

able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include: - Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. - Assist and enable federal customers to build their own applications. - Contribute to the design and implementation of new features. Qualifications: - Master's degree in Computer Science, Electrical More ❯

Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯

Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯

Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements More ❯

knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and lead on More ❯

experiments to address challenges across various domains and industries. Identify relevant data sources to support client business needs, gathering large structured and unstructured datasets and variables. Develop and apply algorithms and models to mine big data stores, performing data and error analysis to refine models, and ensuring data is clean and accurate. Analyze data for trends and patterns, interpreting it More ❯

Python, Go, etc.) A Degree in 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 Industry experience with machine learning teams Working knowledge of common ML frameworks such as PyTorch More ❯

and to grow your career in one of the most exciting areas of technology today. As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will mentor More ❯

solutions, often combining multiple AI/ML techniques Guide the architecture, infrastructure, tools, and processes used to develop, maintain AI/ML products Deeply understand a wide variety of algorithms to understand vulnerabilities, strengths, and weaknesses Rapidly develop prototypes to experiment and evaluate feasibility Standardize, optimize and scale products in production environments Design and implement scalable and efficient ML Ops More ❯

libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git), CI/ More ❯

experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of More ❯