1 to 25 of 285 Remote Algorithms Jobs

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

to ensure we take care of ourselves, each other, and our communities. Job Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building 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 ❯

libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git) and software More ❯

libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git), CI/ More ❯

occasional travel to client sites and company events. What You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor More ❯

occasional travel to client sites and company events. What You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor More ❯

in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with Natural Language Processing/Natural Language Understanding. More ❯

channel that only publishes visa sponsorship jobs. Duties & Responsibilities: A keen eye for detail Innovative approaches to problem-solving Outstanding communication skills in words Understanding of data structures and algorithms Familiarity in programming languages like Python, C/C++, Java, and others Familiarity with GITHub Perseverance in resolving an issue Capacity to operate autonomously and efficiently multitask Flexibility in attitude More ❯

channel that only publishes visa sponsorship jobs. Duties & Responsibilities: A keen eye for detail Innovative approaches to problem-solving Outstanding communication skills in words Understanding of data structures and algorithms Familiarity in programming languages like Python, C/C++, Java, and others Familiarity with GITHub Perseverance in resolving an issue Capacity to operate autonomously and efficiently multitask Flexibility in attitude More ❯

architectural patterns. - Experience deploying applications to cloud platforms (e.g., AWS, GCP, Azure). - Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). - Familiarity with Docker, Git, data structures, algorithms, and modern development practices. ECCO Select is committed to hiring and retaining a diverse workforce. Our policy is to provide equal opportunity to all people without regard to race, color More ❯

large scientific calculations. Familiarity with parallel programming concepts - both threading and MPI style parallelism. An understanding of software development life cycles. An interest in processing technologies: software, hardware, and algorithms together with their use and application. Experience of using debuggers and performance analysis tools would be advantageous. Knowledge of open-source software. Experience of working in Unix/Linux environment. More ❯

large scientific calculations. Familiarity with parallel programming concepts - both threading and MPI style parallelism. An understanding of software development life cycles. An interest in processing technologies: software, hardware, and algorithms together with their use and application. Experience of using debuggers and performance analysis tools would be advantageous. Knowledge of open-source software. Experience of working in Unix/Linux environment. More ❯

engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI More ❯

engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI More ❯

engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI More ❯

be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive More ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Software Engineer/Developer you More ❯

the world and operates at high-scale, you've come to the right place. What You'll Need: Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems). Over 7 years' experience in a full-time backend software development role Ample experience building high volume services and systems for a cloud-delivered SaaS product More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of data science and engineering, generating scalable More ❯

works and does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GCP, Azure, AWS), ideally GCP. Familiar with automating CI More ❯

user experience. Analyse user behaviour to build detailed audience segments, personas, and insights that inform content, marketing, and product strategies. Evaluate performance of articles and videos, and develop personalization algorithms to recommend the right content to the right users. Build predictive models to improve subscriber acquisition, retention, and lifetime value through churn prediction and pricing insights. Requirements: BSc/MSc More ❯

non-technical audiences. Computer vision experience is essential for this role. Responsibilities Work with cross-functional teams to identify business problems and translate them into data-driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and results to technical and non-technical More ❯

/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity with CI/CD practices and version control (Git). Excellent problem-solving and communication skills. Nice to Have More ❯