25 of 25 Pattern Recognition Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Talents Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field Strong knowledge of probability and statistics (including machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data-driven research environment Experience with NoSQL databases (e.g., MongoDB) Experience with distributed computing using MapReduce Experience with translating mathematical models More ❯

detection. Analytical Mindset: Strong problem-solving skills with a keen eye for detail. Ability to interpret complex data and turn it into actionable insights. Familiarity with anomaly detection and pattern recognition techniques. Communication and Stakeholder Management: Excellent communication skills with the ability to translate complex data findings into clear insights for non-technical stakeholders. Experience working within cross 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 ❯

live trading environment Skills and Preferred Qualifications Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field Proficiency in probability & statistics (time-series analysis, machine learning, pattern recognition, NLP) Prior experience working in a data driven research environment Hands on programming experience in scripting (Python), analytical packages (R, Matlab) and/or compiled languages (C++ 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 ❯

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 ❯

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 ❯

of Machine Learning Applications in Everyday Life: The self-driving Google car Social listening applications Web search results Prediction of success and failures Credit scoring Text-based sentiment analysis Pattern recognition Online recommendations or offers on big eCommerce sites (Amazon, Netflix) Address: 3rd floor 207 Regent Street London W1B 3HH UK #J-18808-Ljbffr More ❯

and written skills to assist customers over email and/or live screenshare Ability to communicate technical concepts to both technical and non-technical audiences Strong technical aptitude and pattern recognition skills to diagnose, reason through, and resolve issues efficiently, leveraging experience with similar cases/environments to identify root causes and solutions Comfort addressing novel scenarios with More ❯

ago and already in use in over 60 countries, the company's platform offers clients greater insight at unmatched speeds. The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand documents. The technology is clients to improve processes across their business. Main roles and responsibilities of More ❯

ago and already in use in over 60 countries, the company's platform offers clients greater insight at unmatched speeds. The software builds on ground-breaking machine learning and pattern recognition techniques developed at the University of Cambridge to read and understand documents. The technology is clients to improve processes across their business. Main roles and responsibilities of More ❯

teams to contain and mitigate threats. This role is part of a large global team which operates follow-the-sun. This role requires a 4-on, 4-off shift pattern (08:00 - 20:00, 12-hour shifts) and a hybrid work arrangement-three days on-site and one day remote per week. To be successful as a Senior Cyber … technologies including Splunk * Proactively search for potential threats using behavioural analytics, network traffic analysis, and threat intelligence. * Incident response skills, including proficiency in PCAP capture, network analysis, and traffic pattern recognition. * Knowledge of attack techniques (MITRE ATT&CK framework, malware analysis, and intrusion detection). * Proficiency in analyzing network traffic (PCAP), endpoint logs, IDS/IPS alerts, and security More ❯

record of leading cross-functional projects or strategic programs. Preferred Attributes: Comfortable navigating ambiguity and translating vision into executable strategy. Proactive, independent thinker who thrives on problem-solving and pattern recognition. Strong understanding of industry dynamics in Financial Services, Payments and Technology. Familiarity with tools such as Tableau, Power BI, or strategy frameworks (e.g., Blue Ocean, Porter, OKRs). More ❯

for repeatable security outcomes. • Represent AWS in technical discussions with customer executives, internal engineering teams, and security leaders. • Participate in or support security incident response initiatives through technical insight, pattern recognition, and mechanism design. • Define success metrics and evaluate effectiveness of security mechanisms at scale. A day in the life AWS Sales, Marketing, and Global Services (SMGS) is … growing small- and mid-market accounts to enterprise-level customers including public sector. You start your day reviewing posture trends across a fleet of high-risk accounts, identifying a pattern linked to architectural drift in identity federation. Before lunch, you meet with the CISO and enterprise architect of a regulated customer to shape a secure design strategy for a More ❯

and handoffs to ensure smooth execution and reduce duplicated work or team dependencies. Facilitate regular meetings and communication channels to ensure all stakeholders are informed and aligned. Continuous Improvement & Pattern Recognition: Proactively identify patterns, trends, and common challenges in customer integrations to inform process improvements and potential product enhancements. Establish metrics and reporting to track the effectiveness of More ❯

Experience – Understands how order-level, customer cohort, and retention trends impact scale. BI & Data Fluency – Comfortable structuring and analyzing business performance data rather than purely marketing or financial data. Pattern Recognition & Root Cause Thinking – Can spot trends quickly and design a framework that helps businesses consistently diagnose their growth blockers. Tool Proficiency – SQL, Looker, Power BI, or similar More ❯

with common intelligence tools such as SIEM, SOAR, TIP, XDR, NDR, cloud detections, etc. Product management experience in requirements gathering, market analysis, and strategy development Strong analytical skills and pattern recognition Excellent project management skills, capable of handling multiple projects and leading cross-functional teams Passion for malware analysis and threat intelligence, and their role in improving detections More ❯