1 to 25 of 27 Pattern Recognition Jobs

dashboards enabling natural language querying and drill-down analytics for leadership decision-making. Design automated ingestion and ETL/ELT pipelines using NLP and pattern recognition to transform disparate data formats into a standardized, unified Data Fabric schema. Implement robust Explainable AI (XAI) techniques to ensure transparency ...

announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist … secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts ...

announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Scientist … secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts ...

.Version Control & Collaboration: Git, GitHub, GitLab, Jira.Strong background in scalable software design, API development, and testing practices.Familiarity with data science.Bonus: Experience with recommendation systems, pattern recognition, or large-scale software architectures.Why CME Work on mission-critical projects across defense, aerospace, industrial, and energy markets.Join a collaborative, fast-moving ...

.Version Control & Collaboration: Git, GitHub, GitLab, Jira.Strong background in scalable software design, API development, and testing practices.Familiarity with data science.Bonus: Experience with recommendation systems, pattern recognition, or large-scale software architectures.Why CME Work on mission-critical projects across defense, aerospace, industrial, and energy markets.Join a collaborative, fast-moving ...

/ML solutions on edge hardware (highly desirable) Familiarity with real-time systems, edge hardware optimization, and performance profiling Experience with signal processing, pattern recognition, image processing, and/or machine learning techniques Prior Department of Defense project experience Benefits Competitive salary, cash bonus, equity structure, and 401k ...

compelling business cases for product or feature enhancements and influencing cross-functional teams (Product, Content, Platform) without direct authority. Comfortable utilizing AI tools and pattern recognition outputs to extend analytical capacity across large datasets, prioritize workloads, and build scalable frameworks for performance monitoring. Excellent communication skills, with ...

review, accuracy, and final judgment on every output before it goes out. Apply AI tools to impact analysis tasks including trend detection, exposure pattern recognition, and historical event comparison, using outputs to sharpen the quality and speed of escalation decisions. Contribute to the team's AI adoption efforts ...

team to automate recurring reporting and enhance self‐service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high‐quality source data, governance, and entitlements that underpin advisory narratives Required qualifications … integrating analytics into recurring HR processes and decision‐making forums with track record of increasing self‐service analytics adoption, automating routine data requests, and recognition as a trusted partner by business and HR leadership Preferred qualifications, capabilities, and skills Financial services or professional services background preferred Human Resources Strategy ...

team to automate recurring reporting and enhance self-service capabilities Collaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analytics Work with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narratives Required qualifications … integrating analytics into recurring HR processes and decision-making forums with track record of increasing self-service analytics adoption, automating routine data requests, and recognition as a trusted partner by business and HR leadership Preferred qualifications, capabilities, and skills Financial services or professional services background preferred Human Resources Strategy ...

quality assurance Knowledge of continuous integration tools (Jenkins, GitLab, TeamCity, AWS) and their optimization for quality gates Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification Strong verbal and written communication skills with the ability to influence senior leadership and cross-functional teams ...

quality assurance Knowledge of continuous integration tools (Jenkins, GitLab, TeamCity, AWS) and their optimization for quality gates Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification Strong verbal and written communication skills with the ability to influence senior leadership and cross-functional teams ...

onsite 12 months contract Minimum Qualifications 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training. … negotiable skills: Hands-on Machine Learning Experience: At least two years of experience in machine learning, recommendation systems, artificial intelligence, or pattern recognition. Developing Models at Scale: Experience developing models at scale, often demonstrated through internships at large tech companies or research lab experience. Python Proficiency: Strong programming skills ...

record for putting systems/products into fielded use. Academic background in digital communication, signal processing, information theory, probability/statistics, estimation/detection, pattern recognition, optimization, image processing, and machine vision. Experience with machine learning/artificial intelligence a plus. Familiarity with software defined radio (SDR), modulation ...

impact production systems, subject to organization policies. Role Requirements & Qualifications Minimum Qualifications: Experience: Sufficient years of hands-on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands-on experience with deep learning frameworks such ...

driven technologies to streamline benefits processes, enhance employee experience, and drive healthcare cost curve optimization Lead strategic thinking initiatives and identify cross-market pattern recognition opportunities to scale innovative solutions across European markets Collaborate with AI systems and provide supervision for automated benefits processes while maintaining human oversight ...

continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimization for quality gates Advanced test analysis skills: Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification Excellent verbal and written communication skills with ability to influence senior leadership and cross functional teams ...

secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. #J-18808-Ljbffr ...

secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. #J-18808-Ljbffr ...

title : Venture Debt Investment Analyst Location : Covent Garden, London Hours : 9am to 6pm Manager : Finance Partner Working pattern : primarily office based. We value in-person collaboration and learning, and offer two remote Fridays per month. Role Columbia Lake Partners is a specialist European venture debt fund investing in high … quarterly portfolio reviews Market & sector insight Develop a strong understanding of the European venture ecosystem Track relevant sectors and identify companies of interest Build pattern recognition across business models and financing structures Candidate profile We are open to candidates from a range of analytical finance backgrounds, including investment ...

triage logic into automation pipelines so future instances are classified and escalated without manual intervention Apply ML and AI techniques — crash clustering, anomaly detection, pattern recognition — to build smarter triage pipelines Build debug tooling, scripts, and CI/CD integrations that surface OS-level signals and validate platform ...

correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc. Expertise in developing algorithms for object detection, feature extraction, and pattern recognition in high-resolution images, particularly from microscopes. Proficiency in stitching or combining multiple images into seamless mosaics, including handling alignment, blending ...

correct scientific image data containing aberrations, lensing defects, optical anomalies, distortions, non-linearity, etc. Expertise in developing algorithms for object detection, feature extraction, and pattern recognition in high-resolution images, particularly from microscopes. Proficiency in stitching or combining multiple images into seamless mosaics, including handling alignment, blending ...

absent from conversations it should be. That intelligence flows to DevEx, Product, AI Transport engineering and to sales and marketing. Your job is pattern recognition and signal aggregation, not account tracking. Specific, actionable patterns such as “three developers in the LangGraph community hit reconnection failures at scale this ...

improve workflows. Pre‐deployment evaluations are very fast‐paced so ideally you love shaving friction off your workflows wherever possible. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. ...