1 to 25 of 1,044 Remote Algorithms Jobs

standards. Take a leading role in addressing issues related to data quality, bias mitigation, and model interpretability with minimal oversight. Documentation and Knowledge Sharing Ensure comprehensive documentation of models, algorithms, and system architecture to support team-wide knowledge sharing. Maintain and enhance AI/ML playbooks and best practices to streamline onboarding and continuous improvement. Skills and Experience 5+ years … managing AI/ML models in cloud environments, with hands-on experience using AWS services such as Amazon Bedrock, SageMaker, and related tools. In-depth knowledge of machine learning algorithms and frameworks, including experience with LLMs and fine-tuning pre-trained models. Experience with microservices architecture and CI/CD pipelines for AI/ML model deployment, ensuring scalability, reusability More ❯

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 ❯

business problems. Statistical & Mathematical Modelling and Machine Learning/AI Support the development of predictive 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. Communication Create More ❯

of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. 4. ADDITIONAL DETAILS Please note that candidates may More ❯

client materials and commercial proposals Be the subject matter expert, advising and building solutions, in the contexts of PoC, Datalab or Datalake Have an innovative mindset to implement complex algorithms in a Big Data environment Engineering lead and mentoring; contribute to the development of Data Engineers through knowledge sharing and mentorship Manage the technical relationship between Ekimetrics and our clients 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 ❯

trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution More ❯

D) in various laboratory environments, focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning, algorithm design, and software development to create tools, algorithms, and prototype capabilities that address emerging intelligence issues. The Software Engineer will work in dynamic lab settings, collaborating with cross-functional teams to design, implement, and optimize innovative solutions under … timelines. The role demands adaptability, technical expertise, and a strong ability to bridge algorithm theory with practical software engineering applications. Key Responsibilities Design, develop, and implement machine learning models, algorithms, and software tools to support SIGINT and GEOINT mission objectives in lab environments. Rapidly prototype and deliver capabilities to address emerging intelligence issues, ensuring alignment with mission requirements. Create and … integrate computer programs, often for larger software systems, to support mission-critical applications. Design and optimize algorithms, conducting analysis, implementation, profiling, and experimental evaluation to ensure performance and scalability. Bridge the gap between algorithm theory and practical applications, translating complex requirements into robust software solutions. Collaborate with lab teams, mission stakeholders, and intelligence analysts to define requirements, prototype solutions, and More ❯

capabilities and affordability checking services Production-Ready Solutions: Transform data science concepts into robust, high-performance code that can handle our production workloads Pragmatic Algorithm Development: Create and optimize algorithms using the most appropriate techniques to solve specific user problems Data-Driven Product Innovation: Collaborate with product teams to translate business requirements into technical solutions that enrich financial data User … of Node.js for backend integration Experience building and deploying data solutions to production environments Practical knowledge of data processing techniques and relevant frameworks Understanding of when to apply ML algorithms vs. simpler approaches to solve problems Experience with statistical analysis and ability to interpret results to drive decision-making Proven ability to clean and prepare data for analysis and enrichment … performance data processing systems Can perform data science analysis independently but focuses on production implementation Understands the difference between exploratory work in notebooks and production-ready code Experience optimizing algorithms for performance and scale Demonstrates a pragmatic approach to problem-solving, always seeking the simplest solution that delivers the best results Can evaluate when machine learning is appropriate and when 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 ❯

predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser More ❯

predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser More ❯

of medical and surgical modalities. Experience in scientific computing and software development with C/C++, Python, or CUDA. Skilled in streaming data processing, performance analysis, and optimization from algorithms to pipelines. Strong time-management and organizational skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects. Excellent communication skills particularly in the 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 ❯

This range is provided by Neurolabs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Neurolabs is looking for a talented Senior Machine Learning Engineer to join our 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 ❯

exciting period of growth in their London office. In this role, you will join a highly creative, innovative, and passionate team of engineers combining Data Science, AI, ML, optimization algorithms, and automation to enhance human intelligence and solve business problems at scale. You will take on a varied project portfolio, including architecting and implementing robust, modern cloud-based software solutions 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 ❯

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 ❯