101 to 125 of 420 Algorithms Jobs in the UK

skills to real-world challenges. What youll do Develop signal-analysis and measurement software in modern C++ on Windows/Linux. Implement and optimise algorithms for real-time data and signal processing (FFT, filtering, modulation, etc.). Collaborate with DSP, RF, and hardware teams to integrate your code with advanced ...

Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing) Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential A problem-solver with ...

developing embedded firmware Engineering degree in Software, Computer Science, Cybersecurity or equivalent demonstrated knowledge. Strong C/C++ programming skills SECURITY Understanding of encryption algorithms, key management, and secure protocols (TLS, SSH, etc.) Strong understanding of common vulnerabilities (e.g., OWASP Top 10, CWE/SANS Top 25) Familiarity with Linux ...

React You have experience with AWS and microservices You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You enjoy collaborating, learning new things and sharing knowledge You are degree educated in Computer Science or closely related discipline What ...

Proficiency in C#/.NET with a focus on writing clean, maintainable, high-performance code. Strong grasp of core Computer Science concepts – data structures, algorithms, concurrency. At least 1 year of professional experience , ideally in FinTech, banking, or another high-performance domain. Experience in complex systems or mission-critical environments ...

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. This Graduate C++ Developer position presents an excellent opportunity to advance your ...

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. Your role: As a Security Operations Engineer/DevSecOpsyou will play ...

globe and loading it into our systems that uses the latest cutting-edge technologies. This data is run through a series of complex algorithms that help our customers in decision making, and drive actions from our team of analysts. This could be anything from reviewing & actioning alarms, identifying a theft ...

users. • Strong Python; exposure to AWS, Docker, Terraform/CDK, etc. • Experience with basic web computing constructs: APIs, authentication, etc. • Solid grounding in ML algorithms, MLOps, and data science. • Ability to work with customers/stakeholders to help them achieve their goals. • Willingness and ability to travel to customer offices ...

review the development work of other lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack includes Python ...

years of leadership experience managing ML Scientists or Engineers. Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing ...

world-class wireless and Software Defined Radio (SDR) products. This role involves end-to-end embedded software development, including the creation of new algorithms and waveforms, as well as the enhancement of existing SDR designs. The engineer will work across a diverse portfolio of technically advanced projects, with responsibilities spanning ...

C++, C# and Java within environments such as Visual Studio and Eclipse, but we also span system engineering, networking, hardware integration, and use of algorithms such as flight dynamics and rotational geometry. What we're looking for from you Working towards a degree in Engineering, Physics, Mathematical Studies ...

C++, C# and Java within environments such as Visual Studio and Eclipse, but we also span system engineering, networking, hardware integration, and use of algorithms such as flight dynamics and rotational geometry. What we're looking for from you Working towards a degree in Engineering, Physics, Mathematical Studies ...

Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground ...

influence and impact. To be successful as a Risk Plaform .Net Developer, you should have: Strong experience of .NET programming, data structure and algorithms Interaction with webservices (REST/WCF) Familiarity with databases (MS SQL) and optimisation of queries Previous experience in financial services Some other highly valued skills ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...