10 of 10 Time Series Analysis Jobs in the UK

leads, directors, and the CTO to evolve ambitious prototypes into a rock‐solid, scalable platform What you'll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines over unstructured text (and … other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. Alerting & scoring: Severity/… infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. Participate in on‐call for your area and drive root‐cause analysis with crisp follow‐ups. 15% Collaborate Pair with back‐end & front‐end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time More ❯

We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! Available Locations: London, UK About the Team Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats … patterns, identify anomalies, and build predictive insights to detect and neutralize sophisticated cyber threats. You'll directly enhance our Cloudforce One offering by transforming raw data into critical, real-time threat intelligence, providing unparalleled protection and actionable insights to our customers. If you are passionate about applying sophisticated data science to solve complex cybersecurity challenges at an unprecedented scale … scalable threat detection models. Partner with threat intelligence analysts to understand emerging attack techniques and leverage data to develop novel detection strategies and expose findings. Perform in-depth data analysis to identify trends, relationships, and anomalies within vast security datasets. Develop, validate, and refine statistical and machine learning models for threat detection and intelligence generation. Monitor the performance of More ❯

drone data, IoT sensors) and extract meaningful patterns. Design, build, and maintain scalable, cloud-enabled large data pipelines for cleaning, transforming, and integrating diverse geospatial data sources. Perform statistical analysis and data mining to uncover spatial and temporal trends that inform agricultural management strategies. Engineer innovative features from remote sensing data to enhance model accuracy and performance. Deliver high … Geographic Information Science, Remote Sensing, Computer Science, Data Science, or a related field with a strong focus on geospatial analysis. 5+ years of experience in satellite and geospatial data analysis and modeling. Proficiency in Python programming, with experience in geospatial libraries such as GeoPandas, Rasterio, and related tools. Expertise in machine learning for earth observation applications (e.g., image classification … object detection, time series analysis). Experience with geospatial foundation models. Experience with version control systems (e.g., Git) and collaborative software development practices. Experience leveraging generative AI tools to optimize workflows, automate tasks, and enhance productivity in geospatial analysis and data science projects. Skills Excellent written and verbal communication skills in English. Strong analytical and problem More ❯

across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized … data science or applied statistics roles, with a proven track record of driving measurable business impact. Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling. Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management. Strong proficiency More ❯

development and implementation of mathematical, financial risk and ML models Relevant work experience in a related field based on education level Knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.) At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here’s a few … journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/ More ❯

datasets, uncover patterns, and derive actionable insights to support business objectives. Develop and implement predictive and prescriptive models using machine learning algorithms and techniques, such as regression, classification, clustering, time series analysis, natural language processing, and deep learning. Create clear and compelling visualisations to communicate complex analytical findings effectively. Collaborate with stakeholders (including business, product, and engineering More ❯

Processing thousands of energy data points per second from diverse operational sources, handling massive volumes of energy data while running sophisticated classification and anomaly detection models in real-time, maintaining comprehensive data lineage, and delivering insights through high-performance platforms used by energy operators globally requires exceptional engineering and scientific expertise. This processing demands models that can withstand the … and operations Have practical experience with AWS services (SageMaker, S3, EC2, Lambda, etc.) Have experience with infrastructure as code tools (Terraform, CloudFormation) Have experience with Apache Kafka and real-time streaming frameworks Are familiar with observability principles such as logging, monitoring, and distributed tracing for ML systems Have experience with transformer architectures and generative AI applications in operational contexts … Have experience with time series analysis and forecasting techniques relevant to energy applications Are knowledgeable about data privacy regulations and compliance frameworks in the energy sector Benefits Enjoy flexible hybrid working – split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and More ❯

Job description Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to … related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large More ❯

methods to improve model stability, execution accuracy, latency performance, and market adaptability. Evaluate and refine algorithmic trading frameworks to ensure robustness and profitability across multiple asset classes, exchanges, and time horizons. Contribute to the training and fine-tuning of AI systems, ensuring they capture realistic market dynamics, order book behavior, and risk management strategies specific to high-frequency environments. … Requirements Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, Finance, or Quantitative Trading. Deep understanding of market microstructure, high-frequency trading systems, probability, optimisation, and time-series analysis. Proficiency in one or more programming languages commonly used in quantitative and HFT environments (Python, C++, Julia, R, or Rust). Experience with simulation systems, trading … your own 4-hour collaboration windows and manage your 20–30 hour work week around them. Be engaged as an hourly contractor through Mercor, giving you autonomy over your time while contributing to high-impact AI and finance projects. Work with elite researchers, traders, and engineers advancing the frontier of algorithmic intelligence, market prediction, and execution optimization. Join a More ❯

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs … We prioritise candidates who are about to finalise their studies. • You can bring a variety of research experiences, such as working with agents, multi-modality, robotics, diffusion models, or time-series analysis. • Have contributed to a large codebase used by many (open source or in the industry). • Have a track record of publications in top academic journals More ❯