51 to 75 of 502 Remote/Hybrid Algorithms Jobs

ability to spot design flaws, race conditions and performance bottlenecks in complex architectures. A computer science background or equivalent experience (programming styles, data structures, algorithms, etc.)Experience in building, validating, and/or maintaining large distributed systems at scale. Solid design and problem-solving skills with a demonstrated passion ...

technologies, enhancing their robustness, and solving complex problems prior to their productization. We're looking for someone inventive, who can prototype and trial novel algorithms, combining prior internal research, open-source contributions, and their own ideas to create novel user experiences. This role offers the chance to collaborate with some ...

clients worldwide. You’ll work across different areas of the CAD-CAM platform depending on project demand, tackling challenges around 3D geometry, mathematical algorithms, optimisation, toolpath generation and automated manufacturing workflows. Key requirements Strong commercial experience with C#/.NET and ASP.NET Core 8+ Experience developing cloud-based applications, ideally ...

datasets to identify trends, patterns, opportunities and issues Apply statistical and mathematical techniques to investigate business problems and support decision-making Build predictive models, algorithms and machine learning solutions where they add value Reporting & visualisation Develop and maintain Tableau dashboards and reporting that communicate findings, and help stakeholders ...

Japan to enable the products and services of tomorrow to be invented faster and more disruptively than ever before. Our advanced AI-based algorithms and software platform help our clients and in-house inventors create breakthrough innovations. We’ve helped customers file hundreds of patents in areas such as autonomous ...

Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire's data infrastructure includes a global ground ...

right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight easy ...

interfaces and software integrations using React or similar technologies. Strong knowledge of JavaScript, HTML and CSS. A good understanding of programming concepts, data structures, algorithms and HTML DOM components. Experience working with browser and web APIs, including HTML Canvas, Drag and Drop, Server-Sent Events and WebSockets. Strong SQL skills ...

right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight easy ...

Computer Science or Financial Technology. 2-5 years of relevant work experience. Proficiency in either Java or C++. Extensive experience with designing and implementing algorithms for US trading. Experience in data-driven trading strategy performance analysis and optimizations. Strong communication skills and the ability to work as part ...

passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You’ll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time systems involving quantum sensors. This is a high-impact role ...

Redis/S3/EC2/LambdaOpenSearch (ElasticSearch)Docker KubernetesKafkaGITCassandraWhat You'll Need: Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems).A minimum of 5 years of production-level experience in building, delivering, and maintaining systems at scaleUnderstanding scalability and distributed systems i.e. ...

Golang) or C++ AWS/GCP/Azure/KubernetesKafkaGITCassandraDockerRedisWhat You'll Need: Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etcBeing a team playerA thorough understanding of engineering best practices from appropriate testing ...

easy to work with, and will slot naturally into a close-knit, high-performing team. Required Skills Technical Expertise: Solid understanding of machine learning algorithms and frameworks with a general grounding in software engineering practices and a genuine curiosity about how ML models work. Python: Strong proficiency and hands ...

Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch) Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Knowledge of networking protocols(VPC) , load balancing strategies in a distributed systems environment , database query performance tuning and identify cause ...

powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

Golang) or C++AWS/GCP/Azure/KubernetesKafkaGITCassandraDockerRedisWhat You'll Need:Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etcBeing a team playerA thorough understanding of engineering best practices from appropriate testing paradigms ...

dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning ...

background on Rotageek Rotageek helps businesses optimise staff scheduling through data-driven technology. By combining machine learning and advanced algorithms, we help organisations forecast demand, improve workforce management and give employees greater control over their schedules. Our solutions drive operational efficiency, improve customer experiences and help reduce staff turnover across ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...