126 to 150 of 1,674 Algorithms Jobs in England

clients worldwide. You’ll work across different areas of the CAD-CAM platform depending on project demand, tackling challenges around 3D geometry, mathematical algorithms, optimisation, toolpath generation and automated manufacturing workflows. Key requirements Strong commercial experience with C#/.NET and ASP.NET Core 8+ Experience developing cloud-based applications, ideally ...

Python & C++ or similar). Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka). Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release ...

have a strong knowledge of SQL databases 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 ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high‐quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

edge AI, explainability and AI robustness Collaborate with engineers and share technical knowledge Experience Required Strong understanding of AI/ML fundamentals and underlying algorithms Experience in one or more areas including LLMs/RAG, agentic AI, multi-modal AI, edge AI, AI safety, explainability or ML research Strong Python ...

experience building production LLM-powered or agentic applications, including tracing, evaluations, and guardrails Strong Python programming skills and deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Knowledge of Kubernetes (AWS EKS) Experience training models in Databricks and SageMaker Experience with MLFlow Practical RAG experience ...

What You’ll Bring: 5+ years of experience in a high‐impact, production environment as a software engineer Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc. Clean and concise coding style Solid experience with Python Experience working in Linux environment Experience building distributed or data intensive systems ...

level languages (Python & C++ or similar).Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release ...

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

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 ...

pipelines) and support initiatives for data integrity, normalisation and scalability. Build, deploy, monitor and maintain ML Models. Key use cases include feed optimisation, recommendation algorithms, classification tasks, predictive analytics and MLOps deployments. Continuously evaluate the effectiveness of our models and feed logic, providing recommendations for architecture improvements and performance optimisation. ...

track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

Demonstrated experience deploying, operationalizing, and managing AI, ML, or advanced analytics models in a large-scale enterprise environment Working knowledge of AI/ML algorithms, statistical modeling, and scalable data processing pipelines Proficiency with Python-based machine learning libraries such as TensorFlow, PyTorch, and scikit-learn Familiarity with orchestration frameworks ...

What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge ...

designing, implementing and maintaining OTA firmware update mechanisms Experience with wireless communication technologies (e.g., BLE, Wi-Fi) Understanding of secure coding practices and encryption algorithms Engagement with the wider embedded or IoT community, for exampleopen-sourcecontributions, talks ortechnical writing Working Arrangements:Hours:Monday to Friday, 08:30 to 17:30. ...

experience in implementing them in object-oriented fashion Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices Hands-on with Solr/Elasticsearch/OpenSearch for large-scale product search is a plus Strong ...

based languages such as Java, Kotlin. Experience designing and building RESTful APIs and microservices architectures. Solid understanding of software engineering fundamentals, including data structures, algorithms, and system design principles. Experience working with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (CI/CD pipelines, containerisation with Docker/ ...

technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights ...

Electrical Engineering, or related field. 6+ years of strong C++ (14/17/20) development experience. Deep understanding of advanced C++, Python, OOP, algorithms, and system architecture. Experience and understanding of Power Systems concepts [Highly desired] Experience with numerical libraries, solvers, or scientific computing. Qt GUI or backend visualization ...

place for you. What you'll be doing Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight ...

Solid understanding of software testing, version control, code review, CI/CD, secure development, and production support. Practical experience integrating machine learning models, statistical algorithms, or advanced analytics into software products. Ability to work with data stores and data platforms such as Snowflake, relational databases, or comparable technologies. Understanding ...

hand. Adaptability, fast learning, and deep computer science fundamentals are valued far above specialisation in any single framework. Broad Computing Fundamentals: Strong foundations in algorithms, system architecture, concurrency, distributed systems, and performance tuning. Low-Latency & High-Throughput Systems: Deep understanding of performance at the hardware level (memory layout and allocation ...

concurrency primitives, and collections.* Proven track record of architecting and building low-latency trading systems from the ground up.* Strong command of data structures, algorithms, and TDD/BDD practices, including thorough unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working ...

large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills, with a proactive approach to challenges. Can work collaboratively with cross‐functional teams. Thrive ...

core Java, specializing in low‐latency, high‐throughput distributed applications. Profound understanding of software development fundamentals, data structures, design patterns, object‐oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. ...