1 to 25 of 789 Algorithms Jobs

proposals to the architecture review board. â Ability to break down development tasks and lay out clear implementation roadmaps. â Implement and optimize computation algorithms â Design and develop both thin and thick client applications that interact with cloudbased microservices. â Ensure high code quality through unit testing, code reviews

products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience

enabling systematic trading teams to iterate, validate, and implement live trading logic efficiently and reliably. Your present skillset Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working

Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile

large and complex datasets to extract actionable insights that will inform business strategies and decisions Develop, implement, and maintain predictive models and machine learning algorithms Collaborate with cross-functional teams to understand business needs and translate them into technical solutions Use statistical methods, data mining, and machine learning to uncover

software engineering or data/AI engineering, with at least 5+ years focused on AI and ML system development. Strong expertise in machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, Keras), and classical ML tools (Scikit-learn Hands-on experience building production-grade AI and data pipelines using cloud platforms

past 5 years and currently hold British citizenship. Responsibilities Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance

past 5 years and currently hold British citizenship. Responsibilities Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance

Expertise in visualization design a plus. University degree in relevant field such as computer science, data science, statistics, mathematics Excellent understanding of machine learning algorithms, statistical models and data structures Ability to translate data to extract meaningful commercial insights and visualise data to support decision making processes Excellent interpersonal skills

tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications

GitHub Data visualization – Python, Javascript, Grafana, Tableau or PowerBI Use of databases – Snowflake, postgresql or mysql Data Science techniques – Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies – AWS or GCP What We’d Love: Masters or PhD in applied data science. Experience of working across functional teams Where

Mathematics or other quantitative fields Fluent English - written and spoken Ability to write production-level code in Python Knowledge of OOP principles, data structures, algorithms and design patterns Back-end development skills, including work with REST APIs Experience with CI/CD process development Comfortable with cloud technologies (e.g.

continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development

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

frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable

degree in Computer Science or closely related field. 3-5 years of functional programming (preferably Clojure) Strong CS skills such as data structures, algorithms, and problem solving. Build and CI tools such as git, Gradle, Leiningen, Clojure deps, CircleCI or Jenkins. Solid familiarity with Linux based operating systems such

data lake architectures to ensure the organization's data can be ingested, processed, and analyzed at scale. • Manage the integration of AI models and algorithms into big data platforms and ensure the appropriate handling of structured and unstructured data. • Work closely with business and technical teams to understand business needs

Object-oriented language (preferably Java), Multi-Threading and any relational database Solid architectural understanding of enterprise applications Understanding of computing science fundamentals – concurrency, algorithms, data structures, design patterns, etc. Preferred Experience with Java Core, Spring framework and Linux Experience developing large financial software trading systems with substantial hands-on development

common JavaScript libraries (Angular, React, jQuery, Backbone, Redux etc.) Ability to program in Java, JavaScript, C, C++, C# Knowledge of common data structures and algorithms Desire and ability to pick up new technologies quickly Displays a passion for what you do and a drive to improve Strong problem-solving

primary responsibility to develop and maintain the MEMS simulation and design environment, which involves orchestrating complex simulations across multiple physical domains, implementing advanced mathematical algorithms, analyzing trade-offs between key characteristics, and ensuring design for manufacturability. As a Senior Full Stack Developer, you will contribute to various engineering software tools

impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This

business intelligence and analytics. Build relationships with external data vendors and aggregators to support analytical initiatives and products, building and testing Proof of Concept algorithms that meet business needs. Act as a trusted solutions advisor to the sales team and their clients, helping to understand the clients core needs/

across MSE&A products. Performs operational analysis and mission effectiveness analysis. Develops new and/or integrates existing system simulation frameworks, performance models and algorithms, threat models and command and control models. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures. Simulates real-time operations

behind products that fuel credit risk scoring, portfolio optimization, and high-performance ad targeting at scale. If working on prediction-as-a-service , matching algorithms , and real-time analytics gets you fired up - this one's for you. Key Responsibilities: Develop smart APIs that deliver lightning-fast insights from

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve