14 of 14 Algorithms Jobs in the East Midlands

skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like ...

/ASP.NET Core/SQL Server/Azure DevOps/Git/CI/CD/CAD CAM/CNC/PLC/Geometry Algorithms/Mathematical Modelling ...

risk, underwriting or decision science functions You will have: Strong experience building probability of default or credit scoring models Advanced Python capability Experience with algorithms such as logistic regression, XGBoost, LightGBM or similar A strong understanding of model evaluation (ROC-AUC, Gini, precision/recall) Experience working with complex financial ...

Full Stack Developer, ideally within computer vision product environments. Front-End: Strong proficiency in PHP, HTML, CSS, and JavaScript, with experience implementing computer vision algorithms on the front end. Back-End: Expertise in Python, PHP, and C++, with hands-on experience using frameworks such as Flask and Django, and integrating ...

performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world ...

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 ...

Experience with Gradle/Maven, CI/CD (e.g. Jenkins, GitLab), static analysis tools (e.g. SonarQube), and test automation.* Optimisation Mindset: Good knowledge of algorithms, being able to quickly understand runtime complexity and offer alternative implementation. Good knowledge of data structures, understanding query patterns and being able to offer ...

Responsibilities: Design and implement C/C++ software for embedded devices (bare‐metal and RTOS) used in industrial control systems Develop real‐time control algorithms (e.g., PID, state‐based control) for sensors, actuators, and power systems Produce work break down structures and define work packages for execution in JIRA tasks ...

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 ...

technology . What You’ll Do Embedded Software Development: Design, write, and debug low-level software, including BSPs and device drivers. Power Optimization: Develop algorithms and techniques to minimize power consumption for remote and battery-powered devices. Kernel/RTOS Customization: Optimize Linux or FreeRTOS components for embedded platforms. ...

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hospital environment. We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors. This is a hands-on, technically focused role working … translating real-world sensor data into clinically meaningful insights. Key responsibilities Design and implement signal processing pipelines to analyse non-invasive physiological data Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics Analyse complex time-series data from wearable sensors, including noisy real-world signals Support experimental ...

hospital environment. We have an opportunity for a Senior Data Scientist (Signal Processing) to join the team and play a key role in developing algorithms and modelling techniques used to interpret complex physiological data from non-invasive wearable sensors. This is a hands-on, technically focused role working … translating real-world sensor data into clinically meaningful insights. Key responsibilities Design and implement signal processing pipelines to analyse non-invasive physiological data Develop algorithms and models to extract clinically relevant cardiorespiratory and haemodynamic metrics Analyse complex time-series data from wearable sensors, including noisy real-world signals Support experimental ...

Director of Organic Search Salary to £80k + benefits Fully remote (UK-based, occasional travel for client meetings and team days) Overview This opportunity is with a multi-award-winning SEO and digital marketing agency ...