1 to 25 of 691 Permanent Algorithms Jobs in the UK excluding London

complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. Solid foundation in data structures, algorithms, and object‐oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design ...

from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing, and develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. ...

Expect You Have 10+ years of experience building large-scale and low-latency distributed systems. Proficiency in Java or C++. Strong understanding of algorithms, data structures, performance optimization, object-oriented programming, multi-threading, and real-time programming. Experience with distributed caching, SQL/NoSQL, and other databases is a plus. ...

Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering principles (testing, code quality, design patterns) Familiarity with version control (Git), CI/ ...

Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building predictive models. Familiarity with Big Data technologies and Cloud platforms (e.g., AWS, Azure). Proficiency in Microsoft stack including SharePoint, Teams ...

production environments. Architectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; excellent understanding of software architecture, design patterns, data structures, algorithms, and the ability to make architectural decisions and live with their consequencesBachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience ...

Node.js, Express) on cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering usingAI/ ...

code. Strong object‐oriented programming in C++ with modern C++ practices and the C++ Standard Library (STL). Solid software engineering fundamentals: data structures, algorithms, object‐oriented design, and design patterns. Strong programming, debugging, analytical, and problem‐solving skills. Working knowledge of CAD/CAM concepts, computational geometry, or geometric ...

Skills & ExperienceStrong hands-on Java development experience within complex desktop applicationsExcellent understanding of object-oriented programming principles and software designStrong computer science fundamentals including algorithms, data structures and software architectureSolid understanding of multithreading, concurrency and synchronisationExperience applying common design patterns and architectural principles in commercial softwareGood understanding of memory management ...

team. You’ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems Working with and leading both ...

design patterns and object-oriented programming. Proficiency in core Java demonstrable success in developing multi-threaded applications and expert level knowledge in data structures, algorithms, collections, and error handling. Spring Framework (and Spring Boot): This is almost non-negotiable for enterprise Java development. Expertise in Spring Boot for rapid application ...

design patterns and object‐orientated programming. Proficiency in core Java demonstrable success in developing multi‐threaded applications and expert level knowledge in data structures, algorithms, collections, and error handling. Spring Framework (and Spring Boot): This is almost non‐negotiable for enterprise Java development. Expertise in Spring Boot for rapid application ...

object-oriented programming in C++ , including modern C++ practices and proficiency with the C++ Standard Library (STL) . Solid software engineering fundamentals: data structures, algorithms , object-oriented design, and design patterns. Strong programming, debugging, analytical, and problem-solving skills. Working knowledge of CAD/CAM concepts , computational geometry, or geometric ...

Strong object-oriented programming in C++, including modern C++ practices and proficiency with the C++ Standard Library (STL).Solid software engineering fundamentals: data structures, algorithms, object-oriented design, and design patterns. Strong programming, debugging, analytical, and problem-solving skills. Working knowledge of CAD/CAM concepts, computational geometry, or geometric ...

manage suppliers/stakeholders contributing project components of a larger Data Science oriented programme of work. Desirable criteria Knowledge in key Machine Learning based algorithms: Supervised (Linear regression, SVM, Random Forests, Gradient Boosting and Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification ...

experience building enterprise applications and modern web technologies in production environments Software Engineering Fundamentals – Strong understanding of OOP concepts, design patterns, SOLID principles, algorithms, data structures, and ability to write clean, maintainable code Backend Development – Proficiency in Python (Pandas, FastAPI, Flask) for building enterprise applications, data processing, and API development ...

help improve engineering practices. Contribute to technical discussions and architectural decisions. What you'll bring Essential Strong software engineering fundamentals including object-oriented design, algorithms and data structures. Experience building distributed, cloud-native applications. Proficiency in Java, C#, Python, Scala, Go or similar languages. Experience with platforms such ...

/CD pipelines with Git) Ability to maintainable programmes using HTML, CSS, and JavaScript, including strong understanding of programming concepts, data structures, algorithms, and user interface components within the HTML DOM Ability to read others' code Ability to work independently and as part of a team Ability to guide ...

ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

Prior experience developing production quality Python is essentialDeep understanding of Agentic AI systems and multi-agent architecturesProficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

version control and collaborative development Experience or familiarity with backend languages such as Java, Python, or Go Solid understanding of software engineering fundamentals, including algorithms and data structures Experience using Docker for containerisation Good understanding of DevOps practices, including CI/CD pipelines and automated testing Strong communication skills with ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

problem worth solving by interviewing customers, and mapping inefficiencies in internal processes Develop and deliver analytical solutions Design, build, and refine models and algorithms supporting experiments, prototypes, and minimum viable products, using statistical and machine learning approaches Translate ideas into structured solutions Turn business or innovation ideas into testable experiments ...

issues, and driving resolution. Preferred Qualifications Experience with automated testing, software development lifecycle concepts, and developing applications in a Linux environment. Strong understanding of algorithms, data structures, software design, and distributed systems fundamentals. Experience with observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana ...