1 to 25 of 537 Remote Permanent Algorithms Jobs

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

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 ❯

drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able to implement where appropriate; Working knowledge of software delivery and More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

tools. Automate and streamline deployment processes. Collaboratively design new features and work closely with our engineering and operations team to build, integrate, test, and deploy your amazing innovations and algorithms into our production systems. What Youll Bring Awareness of cloud technologies and cloud services (AWS, Microsoft Azure or GCP). Basic automation and scripting skills (Python/Bash/PowerShell More ❯

or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data pipelines, and model evaluation ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git) 💬 Excellent communication, problem-solving, and teamwork skills If you’re passionate about More ❯

or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data pipelines, and model evaluation ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git) 💬 Excellent communication, problem-solving, and teamwork skills If you’re passionate about More ❯

or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data pipelines, and model evaluation ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git) 💬 Excellent communication, problem-solving, and teamwork skills If you’re passionate about More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

Science, AI or equivalent (or imminent graduation) Solid programming skills (e.g. Python, R, Java, C++ or other modern language) Familiarity (or strong interest) in machine learning, data analytics, modelling, algorithms, or statistical methods Demonstrable experience via projects, coursework or side projects in data science, ML, optimisation or algorithmic work Strong problem-solving mindset, ability to translate complex domain challenges into More ❯

as assigned. Responsibilities Experience with common JavaScript libraries (Angular, React, jQuery, Backbone, Redux etc.) Ability to program in Java, JavaScript, C, C++, C# Knowledge of common data structures and algorithms Desire and ability to pick up new technologies quickly Displays a passion for what you do and a drive to improve Strong problem-solving and software triage skills with the More ❯

including beam shaping via optics optimization, cryoEM image denoising in a related scientific field is a strong preference. Applicants with experience of imaging/mapping methods, optics control, optimization algorithms, multi/hyperspectral image analysis are encouraged Benefits Diamond offers an exceptional benefits package to support staff in achieving a positive work/life balance. This includes 26 days annual More ❯

for AI/ML applications and data pipeline considerations. Knowledge of Python for AI/ML scripting is a significant plus. Strong grasp of software design patterns, data structures, algorithms, and clean code principles. Excellent analytical and problem-solving skills, with a methodical approach to debugging and optimization. Strong verbal and written communication skills, able to articulate complex technical concepts More ❯

design patterns and object-orientated programming. Proficiency in core Java (5+ years of experience) with demonstrable success in developing multi-threaded applications and expert level knowledge in data structures, algorithms, collections, and error handling. Spring Framework (and Spring Boot): This is almost non-negotiable for enterprise Java development. Expertise in Spring Boot for rapid application development, Spring MVC for web More ❯

data analysts to understand real-world requirements and translate them into elegant technical solutions. What Were Looking For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python More ❯

analysts to understand real-world requirements and translate them into elegant technical solutions. What We re Looking For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python More ❯

analysts to understand real-world requirements and translate them into elegant technical solutions. What We’re Looking For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python More ❯