1 to 25 of 337 Permanent Algorithms Jobs in the UK excluding London

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-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 ...

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 ...

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 ...

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 ...

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 ...

directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate data solutions into business-critical applications, actively ...

technical troubleshooting, thinking beyond conventional approaches to break down complex technical problems and deliver scalable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity ...

security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

have experience within a finance/trading environment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What ...

have a good knowledge of event driven architecture You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have a good understanding of CI/CD and Infrastructure as Code (IaC) You have an appreciation of Azure, SaaS, PaaS, microservices ...