1 to 25 of 490 Permanent Algorithms Jobs in the UK excluding London

/CD tools (e.g. Docker, Jenkins) and DevOps practices Understanding of software testing, debugging, and SDLC Strong foundation in data structures and algorithms Projects or internships showcasing software development skills Graduate Development Experience Our graduate experience is designed to help you build the skills, mindset, and confidence to thrive ...

DevOps environment, often collaborating with stakeholders from other technical teams as well as business teams. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non‐technical business partners. Major Job Responsibilities ...

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 ...

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/ ...

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 consequences Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent ...

models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Identifying tools and specifying processes ...

technologies* Knowledge of Chromium and/or Firefox browser architectures and code bases* Strong understanding of object-oriented design principles, data structures and algorithms* Experience using source control systems and modern software development practices (Git, Azure DevOps, GitHub)* Experience contributing to automated testing, CI/CD pipelines and software quality ...

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 ...

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 ...

technologies Knowledge of Chromium and/or Firefox browser architectures and code bases Strong understanding of object-oriented design principles, data structures and algorithms Experience using source control systems and modern software development practices (Git, Azure DevOps, GitHub) Experience contributing to automated testing, CI/CD pipelines and software quality ...

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/ ...

Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

build processes, scripting, debugging, version control, and deployment practices for engineering software. Fortran Experience with mathematical problem‐solving capabilities. Advanced understanding of data structures, algorithms, computational methods, numerical accuracy, performance optimisation, and scalable software design. Extensive analytical thinking, problem‐solving, communication, documentation, and collaboration skills to work effectively with global ...

Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability ...

C++ (C++17 and above). Build and enhance backend services responsible for sensor management, data ingestion, analytics, and API functionality. Integrate scientific and analytical algorithms developed in Python into production-ready software solutions. Develop, deploy, and support containerised applications using Docker and Podman across Linux and Windows environments. Work collaboratively ...

/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 ...

Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. ...

Ability to manage suppliers/stakeholders contributing project components of a larger Data Science oriented programme of work. 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. Experience ...

Experience using Agile Project Management tools like Azure DevOps or JIRA. Experience with ETL processes and Data Migration between systems. Knowledge of Machine Learning algorithms and Predictive Analytics techniques. Exposure to Big Data technologies and Cloud platforms (e.g., AWS, Azure). Certifications in Data Analytics or Business Intelligence (e.g., Microsoft ...

handling and resource management in parallel execution environments. Deliver secure, high-performance and efficient database and ETL capabilities using Java Collections Framework, data structures, algorithms, and object-oriented design principles, while ensuring scalability, governance, and reliability. Design and develop full-stack applications, including responsive web user interfaces, RESTful APIs, backend ...

complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development ...

architectures (Tickerplant, Chained Tickerplant, RDB, HDB, CEP, Gateway/Query Routers). Advanced knowledge of IPC, multi-threading (-s), worker processes, memory allocators, compression algorithms, and partitioned database maintenance. Languages & Frameworks: Strong proficiency in Python (including data science stack: Pandas, NumPy, and integration tools like embedPy, PyKX, or qPython). ...

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 ...

focused Data Scientist position. We're looking for someone who enjoys solving complex mathematical problems and has the technical ability to turn models and algorithms into reliable, production-ready software. You'll work across data science, machine learning, data engineering and AI development, with the opportunity to influence new product ...

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 ensuring design constraints are met by software code development. Lead ...