1 to 25 of 57 Pattern Recognition Jobs

and integrity. • Create data visualizations and interactive dashboards to present findings and insights. • Apply natural language processing (NLP) techniques for unstructured data analysis and text mining. • Develop algorithms for pattern recognition, clustering, and classification of data. • Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling. • Ensure compliance with data privacy, security and ethical guidelines in More ❯

in tandem with the engineering team. Minimum Qualifications Experience in software engineering, or a relevant field. Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field. Experience leading major initiatives successfully. Experience building and shipping high quality work and achieving high reliability. Experience with developing More ❯

to extract, transform, and load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns More ❯

and combine datasets. Document workflows, develop prototypes, and effectively communicate technical results to both technical and non-technical audiences. Support critical thinking and analytical judgments through statistical modeling, data pattern recognition, and trend analysis. Operate as a self-starter and problem solver, independently tackling ambiguity and driving results with minimal supervision. Coordinate with customers to resolve data discrepancies … Other Required Skills & Capabilities Ability to synthesize disparate data sources and present findings clearly. Experience applying mathematical and statistical models to answer business or mission questions. Demonstrated critical thinking, pattern recognition, and analytical judgment. Ability to manage multiple tasks independently and meet deadlines in a fast-paced environment. Clear documentation and reporting of analytical workflows and outcomes. Comfortable More ❯

AI startup that is heavy on Data, ML Algorithms + LLMs. Role Description This is a full-time hybrid role for a Senior Engineer (ML Engineer): Strong background in Pattern Recognition, Computer Science, and Statistics Expertise in LLMs and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge More ❯

large-scale datasets from AIS feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain More ❯

R) with a technical background Significant experience in mentoring/influencing senior engineers across organizations Significant experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence Preferred Qualifications: B.S. Computer Science or related technical field Experience in shipping products to millions of customers or have started a More ❯

creating insightful analysis and charts communicated using Python or R notebooks. Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition. Competence in Data Science reproducibility best practices. Nice To Haves Ideally experience in continuous integration and the full Data Science pipeline. Ideally experience with basic software tools and More ❯

focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time series data Architect Time Series Machine Learning Pipelines: Create robust pipelines specifically designed for time series data workflows, ensuring scalability, efficiency, and seamless flow from More ❯

delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret More ❯

delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret More ❯

in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with More ❯

in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with More ❯

following: R, SAS, or Matlab • Applied statistics or experimentation, such as A/B testing, in an industry setting • Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics #J-18808-Ljbffr More ❯

builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯

builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯

of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise in at least one specific data science area such as text mining, recommender systems, pattern recognition or regression models - Previous experience in leading a team, ideally of Data Scientists Educational level: Master Degree How to apply: Please mention NLP People as a source … when applying Tagged as: Industry , Master Degree , NLP , Pattern Recognition , Recommendation System , United Kingdom More ❯

vision software toolkit used in medical image analysis and inspection systems . You will be involved in both applied and strategic research, developing and optimising complex algorithms used in pattern recognition, OCR, 3D reconstruction, and AI-driven image analysis - all adapted to the specific challenges of the healthcare domain. Key Responsibilities Design, develop, and optimise C++ software libraries More ❯

hybrid role for an Artificial Intelligence Engineer at Kodamai located in Glasgow with some work-from-home flexibility. The Artificial Intelligence Engineer will be responsible for tasks related to pattern recognition, computer science, neural networks, software development, and natural language processing. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language More ❯

developers and machine learning specialists to deploy analytic models into production Perform complex queries for ad hoc requests and data migration Requirements Experience in statistical analysis, data mining, and pattern recognition Python or R programming proficiency and experience applying data science skills with mathematics, computing, and presentation to structured and unstructured datasets Ability to thrive in a dynamic More ❯

meaningful products to positively impacting climate change. Our mission is to transform complex data into proven information, powered by Immutably, our trusted data fabric platform, delivering insights that enable pattern recognition and trend analysis. We understand that applying for a job can be intimidating. Applicants rarely meet every single requirement, and we value diverse skills and backgrounds. If More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing More ❯

across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing More ❯

for the business. Operational Excellence - Represent the business in front of Senior Leaders and Customers. Cross-organizational agility, communication, and leadership. Provide technical thought leadership with ability to provide pattern recognition around key opportunities and serve as a key technical influencer across Rackspace. Maintain an in-depth knowledge of clients' business and industry, anticipating and addressing opportunities and More ❯