76 to 100 of 3,512 Algorithms Jobs

Scientist with expertise in Artificial Intelligence (AI),Computer Vision, and Deep Learning to lead innovative data science initiatives in healthcare and finance. The role involves designing and implementing advanced algorithms, analyzing complex datasets, build predictive models, and deriving actionable insights to support decision-making processes. The Senior Data Scientist will be responsible for developing and deploying AI/ML solutions More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

Project Oversight: Coordinate the distribution of projects, tools, and data, ensuring alignment with business strategy and data function goals. Advanced Modelling: Oversee the creation of custom data models and algorithms to address complex business problems. Strategic Influence: Serve as a subject matter expert, contributing to the Data Science & AI strategy and roadmap. Insight Delivery: Present complex findings clearly through data More ❯

at Complexio Complexio's Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia and More ❯

the effectiveness of marketing initiatives. Develop and maintain dashboards and reports to track key metrics, campaign performance, and business KPIs. Continuously explore and implement cutting-edge tools, methodologies, and algorithms to ensure best-in-class data analysis and predictive insights. Communicate complex data findings clearly and effectively to stakeholders, helping inform business decisions and resource allocation. Ability to operate independently More ❯

at AGITProp by 2x Sign in to set job alerts for “Research Engineer” roles. Hampton, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Quantum Algorithms Scientist - Optimization London, England, United Kingdom 1 month ago London, England, United Kingdom 1 month ago London, England, United Kingdom £29.44-£29.44 1 month ago London, England, United Kingdom 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 ❯

Computer Science or related field. 14+ years of software engineering experience. Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns. Solid understanding of data structures, algorithms, and computational complexity. Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology Active Top Secret/SCI More ❯

similar software processes may be substituted for a bachelor's degree. Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns. Solid understanding of data structures, algorithms, and computational complexity. Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology Top Secret/SCI Clearance More ❯

preferred General familiarity with some of the technologies we use: Python, Apache Spark/PySpark, Java/Spring Amazon Web Services SQL, relational databases Understanding of data structures and algorithms Interest in data modeling, visualisation, and ETL pipelines Knowledge of financial concepts (e.g., stocks, bonds, etc.) is encouraged but not necessary Our Values Act Like an Owner - Think and operate More ❯

programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work 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, and is 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 ❯

development experience preferably in Java, C/C++, Python, or Scala, exposure to RDBMS and NoSQL datastores Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team 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 ❯

achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide technology trends and best practices Exposure to agile methodologies 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 ❯

and data visualisation libraries (e.g., Plotly, Dash). • Strong knowledge and practical application of statistical analysis and data visualization techniques. • Strong experience of a wide range of machine learning algorithms, including supervised & unsupervised. • Proven experience in machine learning model interpretation and evaluation with the ability to articulate model limitations and risks. DATA ENGINEERING • Significant experience with data extraction, transformation and More ❯

developing and integrating advanced generative AI and ML solutions into existing products and systems, including working with LLMs and agentic workflows. Proficiency in Python and strong knowledge of ML algorithms—ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a focus on optimizing performance and 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 ❯

Join to apply for the Quantitative Developer role at Barclays Business Banking 1 day ago Be among the first 25 applicants Join to apply for the Quantitative Developer role at Barclays Business Banking Get AI-powered advice on this job More ❯

This is no start-up. We’re already trusted by our clients to manage hundreds of millions of media spend. At the heart of the product are our proprietary algorithms, developed in-house and refined over time. These algorithms enable the platform to make budget and targeting adjustments that improve campaign performance every day for clients worldwide. Our ambition as … a Data Science team is to further extend this competitive advantage by innovating our algorithms and expanding into more digital advertising platforms. About this role: We are seeking a Senior Data Scientist to enhance our proprietary algorithms and innovate the product with the latest advances in ML/AI. Reporting to the VP of Data Science, you will join a … small but growing team of Data Scientists. The ideal candidate will have a background in optimization (algorithms or related ML disciplines), strong statistical knowledge, and hands-on cloud technology experience. You should be truly, technically competent to learn complex systems quickly, customize source code, add new features, and code from scratch. Model deployment and software development experience are highly desirable More ❯

data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

deploy complex buying strategies and deliver better outcomes for our clients at scale. We are trusted by our clients to manage hundreds of millions of media spend. Our proprietary algorithms, developed in-house, enable the platform to optimize budgets and targeting daily across the globe. Our goal is to further innovate these algorithms and expand into more digital advertising platforms. … About this role: We seek a Senior Data Scientist to enhance our proprietary algorithms and incorporate the latest ML/AI advances. Reporting to the VP of Data Science, you will join a growing team of data scientists. The ideal candidate will have a background in optimization, strong statistical skills, and experience with cloud technologies. You must be capable of … model deployment or software development experience being highly desirable. We value team players passionate about applying data science to solve complex problems and drive innovation. Key Responsibilities: Enhance existing algorithms and develop new data science features Design and contribute to end-to-end machine learning pipelines Implement explainability frameworks to ensure transparency and compliance Collaborate with stakeholders to translate business More ❯

science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited … to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science More ❯