1 to 25 of 803 Algorithms Jobs

Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking more »

on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in more »

Work with people from across the globe Create and improve innovative products with a real world impact Responsibilities: Research, design, and implement machine learning algorithms and models to address business challenges and opportunities. Collect, preprocess, and analyze large datasets to extract meaningful insights and features. Develop and deploy scalable machine more »

machine learning · Data Sourcing, Cleaning and Exploration · Analyse and visualize data at different stages of the ML lifecycle · Capable of developing custom models and algorithms · Work with multiple datasets and generate synthetic data · Develop data annotation strategies · Communicate with stakeholders across the business · Inspire and contribute to the modelling workflow more »

including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience more »

novel insights/hypotheses. 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 more »

experience with languages like Python • Experience working in an enterprise environment • Experience working within an Agile environment • Strong computer science fundamentals in data structures, algorithms, complexity analysis and object orientated programming • Ability to contribute through the complete SDLC from requirements to deployment using Git, Jenkins and other similar tools. • Minimum more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

optimisations. Extract features from CAD/CAM software Analyse large manufacturing datasets using statistical techniques and machine learning algorithms. Develop predictive models and optimisation algorithms to maximise business opportunities. Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and reliability. Working in our technical team, you will report to more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Mastery of modern web technologies - i.e. Javascript is essential: Node, React, Angular, etc. Proficient in at least one all purpose imperative more »

pipelines. • Prototype, automate, and implement data pipelines, ensuring the efficient and secure transfer of data between systems. • Develop and optimize data analytics models and algorithms to facilitate advanced data analysis and reporting. • Utilize rapid build technologies and frameworks to expedite the development and deployment of data solutions. • Collaborate with data more »

real-life systems • Good knowledge of parallel computing techniques (Python multiprocessing, Apache Spark), and performance profiling and optimisation • Good understanding of data structures and algorithms • The ability to communicate complex technical concepts to those with little or no technical background in a meaningful, relevant and engaging manner Employees are required more »

of the team. Willingness to learn domain fundamentals and explain calculation logic to users. Qualifications Computing fundamentals: Working knowledge of common search and sort algorithms, basic data structures such as lists, maps, trees, and graphs, multi-threaded programming, computer networking, and operating systems. Databases: Basic knowledge of SQL. Familiarity with more »

data integrity and quality. Perform exploratory data analysis to gain insights and identify patterns, trends, and anomalies. Develop and apply statistical models, machine learning algorithms, and predictive analytics techniques to solve complex business problems. Feature engineering and selection to optimize model performance and interpretability. Conduct hypothesis testing, A/B more »

we have developed an AI-powered technology stack for collaborative analysis for imaging, clinical data and Biomarkers. Our proprietary technology includes AI based image algorithms for CT scans, AI assisted workflows and central image read cloud based technology. Our platform allows our partners to run AI based data analytics on more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

/selection Write technical documentation Work with data scientists and analysts to improve software Gathers data sources and data for improving/updating existing algorithms and products Works with CTO to execute tasks in larger data science projects Maintains existing data science product integrity Works with Product and Development to more »

Graduate Microsoft Software Developer:- Bachelors degree in computer science, Software Engineering or a related subject. A strong understanding of object-orientated programming, data structures, algorithms and design patterns. A strong understanding of process and business analysis and design. A good understanding of spoken and written German would be beneficial. Good more »

Data Science role. Significant hands-on experience developing and deploying Data Science and ML capabilities in production at scale. Deep knowledge of machine learning algorithms applied to solving business problems. Proficiency in Python and popular Data Science frameworks (e.g. pytorch, pandas, numpy etc) and MLOps platforms (e.g. Sagemaker) Solid understanding more »

SQL Server, Azure, Office 365 etc. Knowledge of programming languages such as Javascript, C# and web development technologies e.g. HTML, CSS, JSON. Knowledge of algorithms and data structures Analysis and problem-solving skills Ability to prioritise and manage tasks Strong attention to detail Passion for sharing knowledge and helping others more »

Microsoft Software Developer:- •Bachelor's degree in computer science, Software Engineering or a related subject. •A strong understanding of object-orientated programming, data structures, algorithms and design patterns. •A strong understanding of process and business analysis and design. •A good understanding of spoken and written German would be beneficial. •Good more »