76 to 100 of 1,207 Algorithms Jobs in the UK

We're excited if you have 10+ years of experience building large scale and low latency distributed systems Command of Java, C++ or Go/Golang Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases is a plus Experience with More ❯

context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of data science and engineering, generating scalable More ❯

computer science, mathematics, physics, engineering or related STEM field Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning Excellent collaboration and communication skills, both with teams and in client-facing engagements Interested in building AI applications, ranging from forecasting tools to image More ❯

front end, to design, develop, and support high quality and scalable products. Help maintain and improve code quality, organization, and automatization Create everything from mockups and UI components to algorithms and data structures as you deliver a complete minimally viable product Required technical and professional expertise Key Responsibilities: Design, develop, and deploy high-quality applications on Azure, utilizing services like More ❯

launched our new division, bioXcelerate AI, which stands at the forefront of revolutionising life sciences and healthcare research. bioXcelerate AI uses state-of-the-art data science and proprietary algorithms to accelerate the transformation of data into actionable insights, redefining industry standards. More ❯

Depth of expertise in developing and deploying to production machine learning models for revenue optimization or related fields in high volume, low latency environments. Comprehensive knowledge of machine learning algorithms, particularly those used in revenue optimization, coupled with the agility to rapidly grasp and apply emerging techniques. Deep statistical knowledge and experience with multivariate testing at scale. Proven track record More ❯

to both technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via More ❯

analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build More ❯

building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. More ❯

QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and More ❯

on AI and automation• Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

front end, to design, develop, and support high quality and scalable products. Help maintain and improve code quality, organization, and automatization Create everything from mockups and UI components to algorithms and data structures as you deliver a complete minimally viable product Required education None Preferred education Bachelor's Degree Required technical and professional expertise Key Responsibilities: Design, develop, and deploy More ❯

smarter systems. If you’re technically strong and commercially minded, this could be the perfect next step. What You’ll Be Doing Build and maintain advanced decision science models, algorithms, and tools Optimise and automate various systems Transform complex datasets into clear, actionable insights Present findings to commercial and technical stakeholders Support the automation of dynamic pricing systems Stay up More ❯

team environment, your curiosity, exceptional analytical skills, and ability to rapidly deliver production-quality Python code will help you thrive. Job Responsibilities: Collaborate closely with Markets Sales to build algorithms and workflows that enhance client service. Proactively identify opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent More ❯

experience in modern C++ (C+, C+ or C+) and object-oriented programming. Previous experience developing in a multi-threaded and multi-process architecture. Proven ability to port and optimise algorithms on embedded or edge systems. Comfortable working in a Linux environment. To speak in absolute confidence about this opportunity please contact Jess Ritchie, IT Recruitment Consultant at MCS Group or More ❯

you. Whether you're looking for remote flexibility or prefer to work from India, this role is built for impact. ️ Key Responsibilities: Build and train machine learning models and algorithms Preprocess, clean, and analyse datasets from multiple sources Apply best practices for testing, validation, and deployment Work closely with data scientists, engineers, and product teams Deploy ML models in production More ❯

environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications Manage multiple research projects, ensuring alignment with company objectives Design AI system architecture, balancing research More ❯

environment of scientists and engineers. Responsibilities Lead and manage a team of AI/ML researchers and engineers, fostering innovation Oversee development of novel AI/ML models and algorithms Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications Manage multiple research projects, ensuring alignment with company objectives Design AI system architecture, balancing research More ❯

contribute to the Cloud Architecture implementation in AWS- You will utilize common design patterns as well as the advantages of object oriented programming- You will perform code analysis, optimize algorithms, refactor and optimize code- You will develop robust and effective code and ensure high quality of the code by performing unit test as well as simulation on real data (software More ❯

of strong collaboration, share best practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM field Self-directed, self-motivated More ❯

behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising, and product teams to align data science initiatives with business goals. Data More ❯