1 to 25 of 35 Pattern Recognition Jobs in England

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 ❯

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 ❯

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, pattern recognition, 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, pattern recognition, 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 ❯

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 pattern recognition 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 ❯

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 pattern recognition 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 ❯

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. 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 ❯

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 pattern recognition 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 ❯

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 ❯

aim to build meaningful products that positively impact carbon reduction and climate change. Our mission is to transform complex data into proven, trustworthy information through our Immutably platform, enabling pattern recognition and trend analysis for complex global problems. We understand that applying for a job can be intimidating. We welcome applicants with diverse backgrounds and skills, even if 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 ❯

ll be working on: You’ll join the team responsible for a brand new product ingesting millions of data points from energy monitoring devices. These systems rely heavily on pattern matching, event detection, and smart data handling. Eventually, we’ll be layering AI on top of this infrastructure. Unlike typical web apps, our systems constantly stream real-world sensor … ambiguity, able to work from user stories and shape features with the team Bonus Points: Experience working with IoT devices or streaming data A solid grasp of maths or pattern recognition (some of the work gets deep!) If you’re the kind of developer who likes solving tricky technical problems with a collaborative team, this could be your 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 ❯