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 ❯
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 patternrecognition 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 ❯
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 ❯
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 ❯
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 ❯
Coalville, England, United Kingdom Hybrid / WFH Options
emh group
Python, R, or other relevant programming languages and have experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and patternrecognition you ll be an expert in statistical modelling, predictive analytics and regression techniques. An industry certification in data science or a related field is required. Company Benefits 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 ❯
role involves building and integrating retrieval-augmented generation (RAG) techniques, fine-tuning smaller transformer-based models (e.g., BERT, DistilBERT), and leveraging deep learning architectures for reasoning-based intelligence extraction, patternrecognition, and anomaly detection. The ideal candidate will have experience in training and fine-tuning AI models, as well as implementing scalable solutions for automated dark web analysis. … dark web sources. Train and fine-tune smaller deep learning models, including vision models (e.g., CNNs, Vision Transformers) and transformer-based NLP models (e.g., BERT, DistilBERT) for classification, entity recognition, and document intelligence. Design and maintain scalable AI-powered query systems that integrate reasoning capabilities for dark web intelligence. Utilize deep learning and machine learning techniques to enhance automated … anomaly detection, patternrecognition, and dark web data analysis workflows. Integrate trained models with existing intelligence platforms to improve real-time decision-making and risk assessment. Implement responsible AI frameworks, ensuring ethical usage and mitigation of biases in AI-driven dark web analysis applications. WHAT ARE WE LOOKING FOR? Strong programming skills in Python, with experience in AI 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 ❯
builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, patternrecognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping More ❯
builder with a passion for people and AI-driven innovation, we want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, patternrecognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping 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 ❯
Reading, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
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 ❯
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 ❯
meaningful products to positively impacting climate change. Our mission is to transform complex data into proven information, powered by Immutably, our trusted data fabric platform, delivering insights that enable patternrecognition and trend analysis. We understand that applying for a job can be intimidating. Applicants rarely meet every single requirement, and we value diverse skills and backgrounds. If More ❯
in production-impacting scenarios. Lead war rooms, live incident bridges, and cross-functional response efforts with Engineering, QA, and Field teams. Utilize AI-powered debugging, log analysis, and system patternrecognition tools to accelerate resolution. Product Knowledge & Value Creation Become a subject-matter expert on Infinia internals: metadata handling, storage fabric interfaces, performance tuning, AI integration, etc. Reproduce … container orchestration (Kubernetes), and GPU-based architectures. Exposure to RDMA, NVMe-oF, or high-performance networking stacks. Exceptional communication and executive reporting skills. Experience using AI tools (e.g., log pattern analysis, LLM-based summarization, automated RCA tooling) to accelerate diagnostics and reduce MTTR. Preferred Qualifications Experience with DDN, VAST, Weka, or similar scale-out file systems. Strong scripting/ More ❯
