1 to 25 of 530 Remote Algorithms Jobs

business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune model performance for optimal results. 4. Communication More ❯

and window functions) 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 ❯

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 ❯

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 ❯

of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At More ❯

who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. … The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? • Expert knowledge of data structures, algorithms, and modern design patterns and data layers • Expert knowledge of Golang • Passion to build internal solutions and own development of enterprise-wide applications • Extensive knowledge of building quality APIs for More ❯

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 ❯

to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on … support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business More ❯

to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on … support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business 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 ❯

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 ❯

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 ❯

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 ❯

gives you access to global opportunities without navigating the typical hiring grind. Youll 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 ❯

growth strategy, this company offers a dynamic environment with varied and challenging projects. Depending on your skills and interests, you could be working on areas such as developing complex algorithms for physical process modelling, applying parallel computing to large-scale simulations, creating intuitive user interfaces (UIs), and producing high-quality 2D and 3D graphics. You will collaborate closely with engineers … to deployment. This is a fantastic opportunity for someone who wants to enhance their technical skills in an environment that encourages growth and innovation. Key Responsibilities: Develop and optimize algorithms for simulating physical processes and industrial systems. Work with parallel processing technologies to accelerate large-scale computations. Design and implement intuitive graphical user interfaces (GUIs) for complex modelling software. Contribute More ❯

domain experts to capture critical business requirements, and lead efforts to gather, transform, and prepare data for model training and deployment. Evaluate, implement, and refine state-of-the-art algorithms-including foundational language models, object detection/classification, and time series analysis-to tackle advanced enterprise challenges. Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating … Agile project delivery, including sprint planning, task tracking, and collaboration using Jira (or similar agile tool), ensuring timely and high-quality deliverables. Advanced knowledge of state-of-the-art algorithms, with a demonstrated ability to match technique selection to complex domain-specific use cases. Demonstrated capability to optimize models for performance, scalability, and low latency in production settings, employing rigorous More ❯

Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking More ❯

reliability, uptime, and maintainability through operational excellence REQUIREMENTS Minimum 5 years of software development experience Bachelor's degree in Computer Science or related discipline Proficiency in object-oriented design, algorithms, and data structures Experience with: REST-style Web API platforms Client-side development (JavaScript, Angular 4, HTML5/XML) SQL/T-SQL, stored procedures, and data integration via SSIS More ❯

in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯