51 to 75 of 338 Algorithms Jobs in the UK excluding London

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 ...

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 ...

machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/system performance, quality and accuracy. Near Real‐Time and Batch Inferencing: Use infrastructure like ...

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 ...

growing fast. About the role Riverlane's QEC research only moves as fast as the software that supports it. Researchers working on decoding algorithms need tools they can trust: fast, correct, and built to last. You'll sit within the Research teams, working alongside mathematicians, physicists and engineers to develop ...

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 ...

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 ...

scientific best practice. Perform detailed data visualisations Produce reports and presentations for stakeholder and use data to influence decisions Responsible for implementing complex algorithms within your area of expertise. Develop and iterate prototype solutions in line with your team’s standards About you Extensive experience of working with both ...

distributed KV cache optimization. Proficiency in C/C++, with additional experience in Python for research prototyping. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: PhD in systems, distributed computing, or large-scale AI infrastructure. ...

Strong preference for candidates with multiple publications at these venues. • Demonstrated experience conducting original machine learning research. • Deep understanding of modern machine learning theory, algorithms, and model development. • Excellent analytical, research, and scientific communication skills. • Ability to work independently in a fast-paced research environment. Responsibilities • Apply advanced machine learning ...

Strong preference for candidates with multiple publications at these venues. • Demonstrated experience conducting original machine learning research. • Deep understanding of modern machine learning theory, algorithms, and model development. • Excellent analytical, research, and scientific communication skills. • Ability to work independently in a fast-paced research environment. Responsibilities • Apply advanced machine learning ...

have a strong knowledge of software architecture, distributed systems and engineering best practices You have a deep understanding of Computer Science fundamentals, including algorithms, data structures, object-oriented design and system design You have a collaborative approach and a genuine enthusiasm for solving difficult technical problems You're able ...

sensor and signal processing solutions for defence and national security applications. Some projects are aligned with in-house hardware development and can involve developing algorithms for new sensor data and optimising software for constrained environments. Other projects will see you developing sophisticated software in the cyber security industry, as well ...

reusing data mixtures as our understanding of model behavior evolves and real-world datasets are continually ingested. Develop and deploy principled data-selection algorithms (e.g. influence estimation, proxy models, gradient similarity search) to find targeted subsets of data for fine tuning and RL. Run large-scale empirical studies linking ...