76 to 100 of 508 Algorithms Jobs in the UK

experience. In lieu of a degree, a minimum of 10 years of relevant professional experience Preferred Qualifications Proficiency in Computer Science foundational areas, including algorithms, systems, databases, performance engineering and security architecture Schema/Data modeling design experience Experience with large‐scale event processing architectures Experience in systems programming ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

Linux, systems automation tools, and systems architecture. Deep understanding of , architecture, and principles underlying distributed systems. A knack for designing secure protocols, software, and algorithms that minimize trust requirements. Active participation in Bitcoin/Ethereum/Blockchain projects or the open-source community is highly desirable. Why Join Anza ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

reliability across heterogeneous compute environments. Optimize computational pipelines by migrating workloads from CPU-bound implementations to GPU-accelerated architectures. Optimize production-grade link modeling algorithms to increase system capacity and service sellability, leveraging advanced techniques in signal processing and linear algebra. Required Qualificiations: Bachelor’s or Master’s degree 7+years ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications Experience with model checking tools and techniques, SAT/ ...

Terraform and AWS infra, ML governance for hundreds of models Data Engineering: distributed processing at terabyte scale Science: prove value of new methodologies/algorithms applied to cross-team domains, estimate and measure impact, mentor junior members in experiment design Qualifications A bit about you: Extensive experience with ...

short, We Enable PossibilitySM. About the team and the role Strategic Analytics (SA) is a growing team at Arch that develops innovative analytics, algorithms and AI tools to improve profitability and growth as well as providing deep analytical insight to drive decision making. To be successful, we need to develop ...

opportunities (for both parties)**Ways to Stand Out from the Crowd:*** Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.).* Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Triton, NeMo* Track record in crafting ...

object-oriented design Experience designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture) Strong knowledge of data structures, algorithms, big "O" analysis and designing for performance, scalability and availability Outstanding problem-solving abilities and a clear commitment to making Amazon a great place ...

stability. Own work autonomously in a high‐trust environment. What You’ll Need Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems). Understanding of scalability and distributed systems (sharding, partitioning, concurrency, etc.). Team player who is a thorough understander of engineering best ...

Foundations: Strong understanding of system architecture, API design, scalable service integration, Linux systems, and Git version control. Core Soft Skills: Strong knowledge of basic algorithms, object-oriented/functional design principles, and best-practice patterns. Excellent communication and collaboration skills in English for seamless international teamwork. A relevant educational background ...

distributed systems design patterns. Hands on experience another statically compiled language like Golang, Rust or C++. Awareness of key architectural patterns/approaches, algorithms, data structures, cryptography, security protocols (e.g., TLS and OAuth/OIDC), secure system design and Threat Modelling. Certified Kubernetes and public cloud knowledge (e.g. CKAD ...

Operating within an established Agile framework (SAFe or Scrum) The portfolio you will influence spans customer facing application software, advanced imaging and signal processing algorithms, embedded firmware on custom electronics, and internal production and R&D tooling. The technology The core application software runs on Windows IoT and is predominantly ...