126 to 150 of 711 Algorithms Jobs in England

strong technical foundation. Ideally, you'll have: Strong Python development skills and experience building high-quality software. A solid understanding of machine learning algorithms and AI fundamentals. Experience with one or more of the following: Agentic AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Edge AI Multi-modal ...

diverse range of advanced research programmes where no two projects are the same. You'll investigate emerging machine learning techniques, develop novel algorithms and build proof-of-concept systems that address complex technical challenges. Your responsibilities will include: Researching and evaluating state-of-the-art AI and machine learning techniques. ...

high quality and contributes to the overall stability and performance of our product. Algorithm and Model Development: Develop, maintain, and deploy computer vision algorithms and models. Adapt off‐the‐shelf solutions for our specific needs and integrate them seamlessly into our product. End‐to‐End ML Lifecycle: Own the full ...

Build tools to analyse execution performance and evaluate experiments. Data engineering Develop and curate high quality datasets facilitate research into quantitative models for trading algorithms and performance analysis. Collaboration Collaborate with Technology and Algo Development to industrialize research into production-ready capabilities, including documentation, controls, and model/feature governance. ...

related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research ...

integration. Streaming & Messaging: Apache Kafka, Apache Flink. APIs & Protocols: RESTful web services, gRPC, JSON, Protocol Buffers. Core Computer Science: Strong mastery of data structures, algorithms, object-oriented design, and design patterns. DevOps & Tooling: CI/CD pipelines (Jenkins, GitLab, or GitHub Actions), Docker, Git. Domain Expertise: Prior experience in Investment ...

Required* Full Stack Development* Java* C++* Android* iOS* JavaScript* TypeScript* Software Testing* Software Maintenance* Software Launch* Software Design* Software Architecture* Machine Learning* Data Structures* Algorithms* Technical Leadership* Big Data* Information Retrieval* Distributed Computing* Large-scale System Design* Networking* Data Storage* Security* Artificial Intelligence* Natural Language Processing* UI Design* Mobile Development ...

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 ...

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 ...

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 ...

rotation to support production systems DESIRED CHARACTERISTICS 5+ years of software engineering experience in backend development Deep understanding of computer science fundamentals: data structures, algorithms, performance optimization Experience building and operating distributed systems in production Exposure to the full software development lifecycle — from design to production and monitoring Strong commitment ...

Master’s degree with a minimum of 6 years of experience; or a PhD with 3 years experience Proficiency in software design, data structures, algorithms, and computer science fundamentals. Experience designing, building, and operating scalable, reliable software systems or platforms. Demonstrated ownership and accountability for technical outcomes and system quality. ...

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 ...

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 ...