51 to 75 of 137 Algorithms Jobs in the East of England

/ADC control, or pulse sequencing frameworks Exposure to embedded Linux, RTOS, or custom firmware development Knowledge of calibration, feedback, and control-loop algorithms Experience working in multidisciplinary teams at the intersection of software, hardware, and advanced science Why Join? Work on cutting-edge quantum computing systems at the forefront ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries Experience deploying and maintaining ML models in production Solid software engineering fundamentals (algorithms, data structures, clean code) Comfortable working with Docker and containerised systems Experience collaborating cross-functionally and owning delivery, not just models A mindset focused ...

service. You can get promoted rapidly depending on your skill. Responsibilities as an Embedded Software Engineer: + Design and develop software applications and control algorithms using OO languages (C# and C++) and/or embedded code (C) + Collaborating with electronics, mechanical and systems engineers to integrate software with hardware ...

Principal Firmware Engineer Luton Paying up to £80p/h (Umbrella) Responsibilities : Artificial Intelligence, including machine learning and genetic algorithms Auto-generated code using model driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM Derivation of detailed Firmware requirements and architecture ...

requirements A structured approach to firmware design (RTCA DO-254 or similar) Cryptography and anti-tamper techniques Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Good verbal and written communication skills Working in mixed discipline teams Additional 12 month contract based in Luton, mostly onsite ...