1 to 25 of 28 Pattern Recognition Jobs

Execute social sentiment analysis and deep-dive user behavior analysis across digital channels to evaluate brand perception, audience engagement, and sentiment shifts over time. Pattern Recognition & Predictive Analytics: Apply pattern recognition methodologies across multi-touch user journeys, enrollment/conversion funnels, and digital interaction touchpoints ...

detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate … detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate ...

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 ...

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 ...

Intelligence team to automate recurring reporting and enhance self-service capabilitiesCollaborate with the AI & Data Science team to shape derivative features, predictive models, and pattern recognition analyticsWork with the Chief Data Office to ensure high-quality source data, governance, and entitlements that underpin advisory narrativesRequired qualifications, capabilities … 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 leadershipPreferred qualifications, capabilities, and skillsFinancial services or professional services background preferredHuman Resources Strategy experience preferredJ.P. Morgan ...

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 ...

Experience Experience in Project Management, Programme Management or Technical Project Management. Hands-on experience or strong exposure to Machine Learning, Artificial Intelligence, Recommendation Systems, Pattern Recognition or Data Mining. Bachelor's or Master's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. ...

years' experience in Project Management, Technical PM, Programme Coordination, or Research Operations. Technical exposure to AI/ML, LLMs, Recommendation Systems, Data Mining, Pattern Recognition, or Research Engineering. Bachelor's/Master's degree in Computer Science, AI/ML, Computer Engineering, or related field. Strong stakeholder management ...

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 ...

growing Quant Hedge Fund in the Commodities and Equities space. The ideal Quant candidate will be highly proficient at researching data and pattern recognition, but mayYou will be a researcher or mathematician motivated by what's new to ensure you're always ahead of the curve. You will ...

compliance issues. The Intelligence Analyst will have an investigative or analytical background and demonstrated exceptional analytic prowess in areas such as trend analysis and pattern recognition, using independent critical thinking and judgment to act, lead, initiate and/or recommend next steps. Discretion, teamwork, and creativity ...

complex, rapidly evolving problems. Non negotiable skills: 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems or pattern recognition. Strong Python programming skills Experience developing ML models at scale Experience running complex experiments with large AI models and datasets. Strong understanding ...

statistical significance and identify actionable insights. You can find causations, not just correlations. Analytical Mindset: A natural inclination towards analytical thinking, problem-solving, and pattern recognition. Data Manipulation: Proficiency in data manipulation and analysis using tools like Excel, Google Sheets, or similar. Comfort with spreadsheets, formulas, and basic data ...

looking for You should have hands‐on knowledge or experience within at least one of: Machine Learning Artificial Intelligence Large Language Models Recommendation Systems Pattern Recognition Data Mining Research Engineering You’ll also need: Strong project or program coordination skills. Experience working across technical and non-technical teams. ...

Clearly communicate in a timely and collaborative way Requirements Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Currently has or is pursuing a Bachelor's and/or Master’s degree in Computer Science ...

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 ...

software and system fixes. Delivery & Operations: Lead client implementation workstreams and build internal operational framework standards (e.g., client onboarding, due diligence, compliance). Pattern Recognition: Identify repeated operational challenges that can be developed into reusable playbooks or scalable software features. Modern Tooling: Utilize AI and modern platforms ...