London, England, United Kingdom Hybrid / WFH Options
Luupli
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, patternrecognition, 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 ❯
London, England, United Kingdom Hybrid / WFH Options
Opensignal
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 ❯
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 PatternRecognition, 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 ❯
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 patternrecognition 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 ❯
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, patternrecognition, or descriptive and inferential statistics 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, patternrecognition, 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 ❯
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, patternrecognition, or descriptive and inferential statistics Good education background Top 3 must-have HARD skills: SQL Experimentations for user facing products Narrative excellence Worked cross functionally, influencing skills 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, patternrecognition, 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, patternrecognition, 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, patternrecognition 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 , PatternRecognition , Recommendation System , United Kingdom More ❯
London, England, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
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, patternrecognition, 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 ❯
our customers, improving a wide range of internal products that impact inventory availability for customers both nationally and regionally • Develop business insights basis data extraction, data analytics, trend deduction & Pattern recognition. • Present these business insights to senior management/executives. • Create advanced dashboard to help a large group of teams to consume insights make changes to business process and 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, patternrecognition, 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 ❯
City of London, London, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
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, patternrecognition, 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 ❯
South East London, England, United Kingdom Hybrid / WFH Options
KDR Talent Solutions
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, patternrecognition, 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 ❯
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 ❯
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 Patternrecognition 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 personal accountability. Attention to Detail: Maintain high standards of quality and control in all deliverables. Desired Experience: Market Surveillance & Monitoring: Expertise in market abuse alert scenarios, case management, patternrecognition, and AI. Front Office Processes: Knowledge of broking methods, trade and order capture, and trading protocols. Product Knowledge: Familiarity with FICC, ETDs, and Equities using industry standards 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 patternrecognition 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 ❯
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 ❯
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, patternrecognition, 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 ❯
London, England, United Kingdom Hybrid / WFH Options
Constructor
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 & PatternRecognition: 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 ❯
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 patternrecognition 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 ❯