1 to 25 of 421 Permanent Algorithms Jobs in the UK excluding London

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 ...

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/ ...

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 ...

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/ ...

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 ...

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. Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application ...

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 ...

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 ...

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 ...

Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature ...

related technical field that involves programming. Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some ...

teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience ...

managing teams. This can be technical leadership and/or line management.Experience of leading teams following agile principles.Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.Experience of training ...

engineers where appropriate Essential criteria Professional software engineering experience Commercial experience developing backend applications or services using Golang Strong understanding of software engineering principles, algorithms and data structures Experience working across the full software development lifecycle Experience with Git and collaborative development practices Experience with Docker and containerised application delivery ...

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 ...

native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs Experience mentoring engineers through code review, pairing, debugging, documentation, and the promotion ...

cloud servers Develop a deep understanding of the trade-offs associated with design choices across UQ’s physics models, iQPU chips, quantum algorithms, compilation stack and hardware processes The 3 Most Critical Attributes We'll Use to Compare Candidates: Solid programming experience in languages such as Python, C/C++ ...

culture of collaboration and continuous learning. Job Responsibilities: Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align 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 ensuring design constraints are met by software code development. Lead ...

knowledge of Unix/Solaris environments, software build processes, scripting, debugging, version control, and deployment practices for engineering software. 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 ...

TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals system design, data structures, algorithms, and architectural thinking with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals system design, data structures, algorithms, and architectural thinking with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals system design, data structures, algorithms, and architectural thinking with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...