151 to 175 of 1,098 Algorithms Jobs in the UK

s degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents More ❯

decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. * Collaborate with cross-functional teams to More ❯

C++) A deep understanding of software system reliability and risk management-including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written and verbal communication, including technical documentation More ❯

engineers to leverage cutting-edge AI in their work. Some of the things on our roadmap you'll work on include: Optimising efficiency and robustness of Polaron's existing algorithms for material characterisation, exploration and optimisation; Adapting cutting edge machine learning methods for material science applications. We're looking for exceptional people who can contribute to a fantastic company culture More ❯

engineers to leverage cutting-edge AI in their work. Some of the things on our roadmap you'll work on include: Optimising efficiency and robustness of Polaron's existing algorithms for material characterisation, exploration and optimisation; Adapting cutting edge machine learning methods for material science applications. We're looking for exceptional people who can contribute to a fantastic company culture More ❯

such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and research proposals More ❯

years of leading and managing science teams that deliver large impact. - Proven track record of leading and managing science teams that deliver large impact. - Expert knowledge of machine learning algorithms and techniques. - Familiarity with large-scale data processing and storage systems. - Excellent communication and interpersonal skills. - Ability to work in a fast-paced, collaborative environment PREFERRED QUALIFICATIONS - PhD in Computer More ❯

more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation.For more information, please The Role We are seeking a highly skilled Business Intelligence Data Analyst to join their team based in Leeds. The successful candidate will play a More ❯

in Data Science, Statistics, Computer Science, or related field 5+ years experience in data science with at least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience working with healthcare data and understanding of healthcare analytics Proficiency in Python, R, or similar data science programming languages Knowledge of big data technologies and cloud More ❯

program in a scientific computing environment, preferably in Python/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases Experience working in a Unix environment and git Familiarity with Kafka, Docker, AirFlow, Luigi Strong communication skills More ❯

communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and results, ensuring they are well understood More ❯

content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state- of- the-art parallel processing and machine learning algorithms to evaluate millions of products every day and identify and prioritize new additions to Amazon's catalog efficiently. If you are customer obsessed, driven, tenacious and analytical, you will have More ❯

in the network assets. Responsibilities Create, validate and maintain power systems network models, alongside documentation of associated methodologies, where required. Design, develop, document and test robust, efficient and novel algorithms to meet project requirements, consulting appropriate literature when required. Analyse field data to validate, troubleshoot and enhance the models and algorithms. Act as a subject matter expert on UK distribution More ❯

NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g. More ❯

NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g. More ❯

NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop - conceptual understanding) Database Querying (e.g., SQL) Cloud-based Data Platforms (e.g. More ❯

C++) A deep understanding of software system reliability and risk management-including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written and verbal communication, including technical documentation More ❯

C++) A deep understanding of software system reliability and risk management-including how to identify potential points of failure and design mitigation strategies. A good understanding of data structures, algorithms, and system design Experience navigating and improving large, distributed codebases An ability to identify system risks and engineer around points of failure Clear written and verbal communication, including technical documentation More ❯

to transform data into clear, actionable insights that power better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term More ❯

positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. More ❯

integrity. Cleaning and preprocessing data to prepare it for analysis. Performing statistical analysis to understand data characteristics, trends, and patterns, and validating hypotheses. Developing predictive models using machine learning algorithms to forecast trends and outcomes, including training, testing, and optimizing models. Creating visualisations using Python libraries and dashboard tools like Power BI to communicate findings effectively. Extracting insights from data More ❯

to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model More ❯

transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling the development and More ❯

the use of advanced analytics, and embedding data-driven decision making across the organisation. As our new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling More ❯

the use of advanced analytics, and embedding data-driven decision making across the organisation. As our new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling More ❯