24 of 24 Pattern Recognition Jobs in England

developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in data mining, statistical modeling, pattern recognition, and performance inference. This is a unique opportunity to contribute to FICO Scores International, where you will learn and apply flagship FICO … consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling, and analytical issues ...

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 ...

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 ...

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 ...

Tableau, or Power BI; Azure cloud computing platform; Big data technologies such as Spark, Elasticsearch, Hadoop; Statistical techniques (regression, clustering etc.); Machine learning and pattern recognition; Front-end web development e.g. HTML, JavaScript; We are looking for tenacious and curious individuals with a desire ...

thrilled to announce that our client has been named one of theSunday Times Top 100 Medium-Sized Companies to Work For in 2025a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Our client is recruiting … 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 ...

allocation decisions Build and execute incrementality tests and translate results into concrete campaign recommendations Apply ML techniques such as segmentation, propensity modeling, and behavioral pattern recognition to identify customer response patterns and inform audience strategy and experiment design Partner with cross-functional teams to scope analytical problems, define ...

solutions, including custom code and workflows Agentic AI systems, ranging from task automation to semi-autonomous decision support Advanced analytics solutions, including data ingestion, pattern recognition, and predictive insights Collaborate with data scientists, engineers, and platform teams to build robust solutions Work directly within assets to ensure solutions ...

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 ...

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 ...

process millions of events with sub-second latency feeding AI models and our analytics platform. Data Intelligence - Utilizing BigQuery for deep historical analysis and pattern recognition to power our predictive recommendation engine. Agentic AI - Integrating our insights layer with JET’s communication and optimization agents to drive automated ...

developers on how to query ADC safely and efficiently. Ensure data consumption strictly complies with enterprise data governance, entitlement models, and security protocols. 4. Pattern Recognition & Platform Enhancement Analyse support query patterns to identify recurring pain points, data quality gaps, or missing data sets within the ADC pipeline. ...

applications, web applications, or spreadsheet-based solutions Experience with enterprise tooling such as Jira, application health dashboards, alerting, and incident bridges Demonstrated curiosity and pattern recognition, with a track record of reducing recurring issues through partnership with product and engineering Interest in using artificial intelligence to reduce friction ...

service teams to embed vulnerability management into delivery pipelines , operational processes and change management. Leverage AI security tools and automation to streamline triage, pattern recognition, and risk prioritisation. Establish strong relationships with engineering teams to track and report status and remediation progress Manage and track the remediation backlog ...

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 ...

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 ...

critical initiatives, executive decision-making, and cross-company collaboration, frequently influencing outcomes without formal authority or direct reports. Build the judgment, breadth, and pattern recognition required for future general management by working different business problems across a portfolio of vertical software companies. What We’re Looking For Must ...

view of portfolio health: what is on track, what is at risk, and what requires a decision - tailored for both technical and executive audiences. Pattern Recognition & Systemic Improvement Look across the portfolio to identify patterns of friction, misalignment, and inefficiency - and drive improvement programs that address root causes ...

outcomes across the organization, using data to demonstrate impact, surface opportunities, and build the case for continued investment in AI-driven ways of working. Pattern Recognition & Systemic Improvement Look across teams and workstreams to identify recurring friction, bottlenecks, and cross-functional misalignment – and bring structured analysis and proposed ...

outcomes across the organization, using data to demonstrate impact, surface opportunities, and build the case for continued investment in AI-driven ways of working.Pattern Recognition & Systemic ImprovementLook across teams and workstreams to identify recurring friction, bottlenecks, and cross-functional misalignment – and bring structured analysis and proposed solutions to leadership ...

data sink a timeline, where the business case quietly stops adding up, and where a client’s own readiness is the real constraint. That pattern recognition, earned on real programmes, is what makes a client trust the recommendation you put in front of them. Talking ...

tech actually operate, across every motion, segment, and vertical. You'll build relationships with revenue leaders at companies you admire and develop the pattern recognition that makes great GTM leaders. If you don't fit the mold of a traditional account executive, you're welcome here. People from ...

complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition. Role The Role: Support the delivery of data analysis, reporting and business insight activities across the Insights & Workflow team, ensuring outputs are accurate … employer contributions. 25 days annual leave, plus bank holidays. Flexible and hybrid working opportunities. Private healthcare and wellbeing support services. Employee share schemes and recognition programmes. Discounts on British Gas energy products, Hive products and services. Access to employee discounts, gym memberships and retail offers. Training, mentoring and structured ...