1 to 25 of 131 Permanent Algorithms Jobs in the South East

field. Strong proficiency in Python and key data science libraries (NumPy, pandas, scikit-learn, Matplotlib, Seaborn). Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Knowledge of data querying and manipulation using SQL. Familiarity with Jupyter Notebooks, Git, and version control workflows. Strong analytical thinking ...

trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimisation algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift ...

global brands for forecasting, optimization, and analytics. What you'll do: Build, maintain, and improve Python modules for analytics and optimization. Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling. Handle large-scale data and optimization challenges while keeping performance and scalability in mind. Apply software engineering best practices ...

Scikit-Learn Data Science experience including working with large data sets Responsibilities 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 ...

cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms, with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. ...

Some exposure to Python or similar scripting tools • Experience using Git and platforms such as GitHub or GitLab • A solid understanding of algorithms, real time systems or embedded development • Strong analytical thinking and attention to detail • An interest in data analysis and identifying patterns or anomalies • A degree in Computer ...

selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition ...

learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI-driven diagnostic and treatment algorithms in respiratory critical care.Fellows will receive close supervision from senior mentors throughout the fellowship. They are expected to present their work within the department ...

projects. Essential Skills & Experience: Proficiency in C++ and object-oriented programming. Strong debugging, fault isolation, and problem-solving abilities. Knowledge of data structures, algorithms, and software design patterns. Experience with code configuration management systems (e.g., Subversion). Understanding of network programming, data serialization, and database design/administration. Front ...

researching and prototyping new modelling, optimisation, AI, and simulation methods, then turning those ideas into robust, high quality software. The role involves designing algorithms and numerical techniques for complex scientific or engineering challenges, working across languages such as Python for research and C++ or C# for production, and collaborating closely ...

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 ...

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 ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

high-level C#/.NET applications. Mentor and guide a multidisciplinary team of software, firmware, and electronics engineers. Apply physics-based thinking to develop algorithms that turn raw sensor data into meaningful scientific results. Work closely with hardware teams to bring up new boards, debug complex opto-electronic systems ...

Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing) Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential A problem-solver with ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...