26 to 50 of 551 Algorithms Jobs in the UK

security tools, processes, and controls (e.g., web apps, APIs, CI/CD integrations) Strong communication skills for advising and educating engineers on secure coding and remediation Knowledge of common algorithms and data structures for dealing with large quantities of data (e.g., building data-intensive systems) Experience analysing large datasets for security monitoring, detection, or incident response As part of this More ❯

Science, AI or a similar discipline, or equivalent experience. Experience and knowledge of best practice in data storage, processing, and handling. Knowledge/interest in data science, machine learning algorithms, and computer vision. Experience of handling and manipulating large and complex data. Experience of developing and deploying predictive systems in cloud and in-house servers. Java/Python programming for More ❯

our Nicosia office, we would love to meet you and discuss how you can contribute to our success! The role: Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives. Engage in active collaboration with cross-functional teams, including data scientists, engineers, and product managers, to comprehend business requirements and pinpoint AI application opportunities. More ❯

with clean code. Capable of working both in a team and independently. Excellent communication skills. Desirable A science or engineering degree in Computer Science or Electronics. Experience with writing algorithms and performance optimization. Experience with CI/CD pipelines and DevOps practices. Experience with cloud platforms (e.g., AWS, Azure). Experience with Linux shell scripting. More ❯

a related STEM subject from a leading university Minimum A*AA at A-level (or equivalent) indcluding an A* in Maths Strong understanding of programming principles, data structures, and algorithms Ability to write clean, logical, and well-tested code in at least one language Curiosity, drive, and a genuine interest in using AI to learn and build Strong problem-solving More ❯

engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI More ❯

be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive More ❯

What we're looking for: Strong programming skills in an OOP language (Java, Python, etc.). Solid hands-on experience with React, JavaScript, HTML, and CSS. Good understanding of algorithms, data structures, and design patterns. Experience with agile methodologies (Scrum, Kanban, XP) and CI/CD practices. Background in UI design, optimisation, scalability, and reliability. Degree in Computer Science, Engineering More ❯

and Pair Programming You have a good knowledge of SQL and Networking (TCP/IP) You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Algorithms, Design Patterns You're collaborative, enjoy problem solving and are keen to pick up new skills What's in it for you: As a Senior Software Developer/Product Engineer More ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Software Engineer/Developer you More ❯

Role Responsibilities Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time More ❯

Java, C/C++, C#) - Proficiency in at least one scripting language (Python, Ruby, Perl) - Experience with Linux/Unix systems and Bash scripting - Solid knowledge of CS fundamentals (algorithms, data structures). - Professional communication skills and ability to contribute to team discussions - English language working proficiency PREFERRED QUALIFICATIONS - Experience with various processes in the full SDLC (coding standards, code More ❯

Maths, Engineering, Geology or Computing to apply. We're looking for 5+ years hands-on experience using C++, ideally with the Qt framework and Multithreading, extending to Data Structures, Algorithms and alike. The key desirable skill is C#/WPF/MVVM development working with GUI's, along with Continuous Integration experience. GPU Development would be beneficial, as would 2D More ❯

positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. More ❯

of relevant concepts and processes. Qualifications Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience with machine learning algorithms and tools, building production quality Machine Learning (ML) systems and infrastructure. Experience with machine learning, C++ and Python. Preferred qualifications Master's degree in Computer Science or a related technical More ❯

distributed systems and service-oriented architectures - Strong coding abilities in one or more programming languages (Java, Python, C++) - Experience with cloud technologies and microservices architecture - Understanding of data structures, algorithms, and system design principles - Knowledge of software development best practices and design patterns A day in the life The exact schedule can vary based on your specific team and current More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas 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 ❯

infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events More ❯

AI/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing More ❯

works and does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GCP, Azure, AWS), ideally GCP. Familiar with automating CI More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯

capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business More ❯