26 to 50 of 1,480 Remote Algorithms Jobs

particular project. Design and development of relational and non-relational database applications. Use of orchestration frameworks such as Spring and Kafka. Familiarization with queue management systems Develop or implement algorithms to meet or exceed system performance and functional standards. Develop and execute test procedures for software components. Develop software solutions by analyzing system performance standards and conferring with users or … with container technologies (i,e. Docker). Unix shell scripting Development of event driven, or data driven analytics Development of cloud-based solutions and technologies. Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints. Perform quality control on team products. Recommend and implement suggestions for improving documentation and software development process standards. Oversee one More ❯

search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will play a critical role … Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data structures, algorithms, and software design patterns. Experience with CI/CD tools and practices (e.g., Github Actions, Jenkins). Experience with containerisation and orchestration (e.g., Docker, Kubernetes, Helm). Understanding of security More ❯

search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will play a critical role … Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data structures, algorithms, and software design patterns. Experience with CI/CD tools and practices (e.g., Github Actions, Jenkins). Experience with containerisation and orchestration (e.g., Docker, Kubernetes, Helm). Understanding of security More ❯

models, and ensure seamless deployment and integration. Key Responsibilities Collaborate with clients to identify business challenges and opportunities for AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI More ❯

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

join our team. At Origin, you will have the opportunity to work with exciting and innovative products. One such project Origin Orbit utilizes satellite remote sensing technologies, machine learning algorithms, and Origin’s expertise in integrity management to provide critical insights for onshore gas and water pipeline operators. Another exciting product is Origin No Dig, a multi award-winning patented More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

optimize, and predict trends from both structured and unstructured data. Validate and improve machine learning models with rigorous statistical techniques to ensure high accuracy and precision. Design and implement algorithms such as neural networks, decision trees, and surrogate models to drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes More ❯

experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and More ❯

building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms About you Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

all the boxes, you'll certainly learn on the job! Essential MSc or PhD, or equivalent experience in a quantitative field Deep theoretical knowledge of statistical methods and ML algorithms and their practical applications. Strong proficiency in SQL and Python, especially with core ML libraries (e.g. scikit-learn, XGBoost, SciPy, PyTorch) Extensive hands-on experience in taking advanced statistical/ More ❯

developing and integrating advanced generative AI and ML solutions into existing products and systems, including working with LLMs and agentic workflows. Proficiency in Python and strong knowledge of ML algorithms-ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a focus on optimizing performance and More ❯

people and technical strategy. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization (e.g., Docker, Kubernetes, AWS EKS More ❯

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Senior Machine Learning Engineer Department: Data Science & Intelligence Employment Type: Permanent - Full Time Location: London, UK Description Who we are More ❯

data science . You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale. 🔍 What You’ll Be Doing Designing, testing, and deploying optimisation algorithms to improve … Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data, routing, scheduling , or network optimisation Comfort developing custom algorithms or heuristics Exposure to machine learning techniques Experience in logistics, marketplaces, mobility, or similarly complex environments 🎁 What’s on Offer Generous equity stake 25 days holiday + bank holidays Excellent More ❯

data science . You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale. 🔍 What You’ll Be Doing Designing, testing, and deploying optimisation algorithms to improve … Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data, routing, scheduling , or network optimisation Comfort developing custom algorithms or heuristics Exposure to machine learning techniques Experience in logistics, marketplaces, mobility, or similarly complex environments 🎁 What’s on Offer Generous equity stake 25 days holiday + bank holidays Excellent More ❯

to solve very hard real-world engineering problems. Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code … experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data More ❯

Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold’s scientific computing team to deliver foundational technology behind our algorithms and machine learning models, and tools that enable KoBold’s talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent … scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms, and analysis tools built by you and your team will enable insights that accelerate discovery and development of critical battery metals. You will join an outstanding team of … on new opportunities and technologies to build and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution and leadership Develop KoBold’s proprietary More ❯

Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold's scientific computing team to deliver foundational technology behind our algorithms and machine learning models, and tools that enable KoBold's talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent … scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms, and analysis tools built by you and your team will enable insights that accelerate discovery and development of critical battery metals. You will join an outstanding team of … on new opportunities and technologies to build and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution and leadership Develop KoBold's proprietary More ❯

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯

you access to global opportunities without navigating the typical hiring grind. You'll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy … similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication More ❯