226 to 250 of 1,314 Algorithms Jobs in England

with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques is a plus, although not essential. We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest ...

strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large‐scale, distributed systems Strong understanding of data structures, algorithms, high‐performance application design, and concurrency patterns. Self‐motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have ...

world mapping and navigation challenges. You will influence product direction, shape the architecture of advanced mapping and localisation systems, and help turn research-grade algorithms into reliable engineering products. Key Responsibilities Leadership & People Management Lead, mentor, and develop a team of software engineers. Conduct regular 1:1s, performance reviews, including ...

including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field along with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products ...

engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi‐threaded, and scalable applications using frameworks such as Ray, Horovod ...

mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. ...

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 ...

support aerodynamic development decisions. Build advanced surrogate models for aerodynamic predictions, with a particular focus on fluid dynamics applications. Develop AI-driven mesh generation algorithms and automated geometry creation tools for aerodynamic applications. Conduct comprehensive analysis of wind tunnel data, including drift detection, anomaly identification, and statistical analysis to ensure ...

selection and algorithm design to field deployment and maintenance. You will lead the team in the following work: Integrate classical and ML image processing algorithms for classification, depth sensing, and 3D reconstruction. Select the optimal sensors (e.g., LIDARs, time‐of‐flight cameras, stereo vision) for various applications. Create ...

improve future products Apply a data minded approach to target optimization efforts Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture Design and develo p new groundbreaking AMD technologies Participating in new ASIC and hardware bring up s Debugging/fix existing issues ...

Linux or other Unix based operating system Competency in multiple programming languages Understanding of Object-Oriented Design, and implementation of engineering algorithms Knowledge of UML Understanding of Requirements &Configurationmanagement Experience of working in an Agile environment Who is MASS MASS is an independent, global technology company, trusted by highly secure ...

mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. ...

core mission-led strategic objectives. The platform will be designed to be iterative and adaptive, allowing exploration of new data sources, models, and algorithms over time, ensuring that NCC stays current and leverages the latest advancements in data intelligence. You will support all areas of the business and be involved ...

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 ...

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 ...

important production teams. Apply AI to the development of the Compiler and to the Compiler itself. Qualifications Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work ...