326 to 350 of 4,631 Algorithms Jobs

faster than ever before. About the team Our Engineering Environment At Blink, you'll work within a fully integrated engineering ecosystem where you can test across multiple layers - from algorithms and ASICs to hardware, firmware, AWS infrastructure, and mobile applications. As part of the Amazon Devices family, you'll collaborate with teams across Ring, Kindle, Fire, and Echo platforms. We More ❯

analysis. Experience with data modeling, ETL processes, and working with large-scale datasets. Familiarity with database systems (e.g., SQL, NoSQL) and data warehousing concepts. Strong understanding of data structures, algorithms, and software engineering principles. Experience with infrastructure as code tooling (e.g. Terraform) Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Benefits 24 days annual leave rising More ❯

Computer Science, AI, or related field. Extensive experience in AI architecture design and implementation. Proficiency in programming languages such as Python, Java, and C++. Strong understanding of machine learning algorithms and frameworks. Excellent problem-solving and analytical skills. Experience with AI frameworks (e.g., TensorFlow, PyTorch). Familiarity with Microsoft Azure (AI) services. Our Culture and Values We attract and retain More ❯

and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes More ❯

faster than ever before. About the team Our Engineering Environment At Blink, you'll work within a fully integrated engineering ecosystem where you can test across multiple layers - from algorithms and ASICs to hardware, firmware, AWS infrastructure, and mobile applications. As part of the Amazon Devices family, you'll collaborate with teams across Ring, Kindle, Fire, and Echo platforms. We More ❯

list of customers that are building mission-critical applications on top of AWS services. Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

Engineering, or a related field (Bachelor's, Master's or PhD) Solid programming and software design fundamentals Experience with relational databases and a strong grasp of data structures and algorithms An interest in full-stack development - from UI to infrastructure Excellent problem-solving and communication skills Curiosity, humility, and a passion for learning and technology Great knowledge of at least 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 ❯

structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. · Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific business challenges and opportunities. · Coach and mentor the team (including contractors) to improve development standards. · Work with Business Analysts to deliver against requirements and realise business More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using More ❯

that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

please apply! BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 2+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++, Python or related language - Experience applying theoretical models in an applied environment - Experience in patents or publications at top-tier peer More ❯

transform, and serve large volumes of multilingual, multi-format open-source data. Model data for humans & machines. Draft schemas across SQL, NoSQL, graph, and search systems so analysts and algorithms can both fly. Innovate. Evaluate and integrate LLM and other AI‐based solutions to improve data extraction and analysis across Kharon’s products. Partner with the doers. Sit with product More ❯

including Spring Boot Proficient in writing maintainable code in multiple languages such as HTML, Java, and JavaScript/TypeScript, with a solid understanding of data structures, design patterns, and algorithms Experience with public cloud technologies, as well as a passion for automation and familiarity with CI/CD tools like GitLab Strong practitioner of DevOps practices, utilizing relevant tooling to More ❯

a variety of Recsys modalities using a modern tech stack with a freedom to explore modelling approaches to find the optimal solution. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal More ❯

analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex More ❯

building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯