1 to 25 of 70 Permanent Algorithms Jobs in the South East

Experience with at least one object-oriented programming language (e.g. Java, Python, C++) Strong understanding of core software engineering principles (data structures, algorithms, problem-solving) Passion for technology, with evidence of coding beyond academic work (e.g. personal projects, GitHub, hackathons) Strong analytical thinking and attention to detail Collaborative mindset with ...

Data Scientist, you will: Transform raw data into meaningful insights that drive strategic decision-making. Develop and implement predictive models and algorithms to enhance our products and services. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Design and conduct experiments to validate hypotheses ...

either Java/GoLang/C++/Python/C# Knowledge of Git, Docker, CI/CD and software engineering best practices. Understanding of algorithms, data structures and scalable application design. Strong communication and collaboration skills. Desirable Skills AWS or Azure cloud experience. Kubernetes and container orchestration. Agile and DevSecOps ...

rendering using OpenGL Working knowledge of standard software development frameworks and methodologies. Knowledge of Git and Git Branching. Experience with GIS data structures and algorithms a plus. Ability and desire to learn quickly and work in a fast-paced agile development environment. Strong troubleshooting skills Strong communication skills What Raymarine ...

marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data ...

technology while helping shape products from an early stage. Key Responsibilities: Design, build, and integrate robotics software components within the wider product platform Develop algorithms across perception, planning, control, and decision-making Collaborate with embedded software engineers, systems architects, and AI/ML specialists to integrate components into the wider ...

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 ...

Embedded Software Engineer to join a close-knit engineering team in Oxford, contributing across the full SDLC from BSP and drivers through to control algorithms, CI/CD, and the rigorous design documentation required in a regulated environment. What you will be doing: Designing and developing embedded software ...

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 ...

TypeScript and React for front-end development. Familiarity with backend development languages such as Java, Python or Go. Solid understanding of software development principles, algorithms and data structures. Experience with Docker for containerization and deployment. Knowledge of DevOps processes, including CI/CD pipelines and automated testing frameworks. ...

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

diagnostics technology. Key Responsibilities: Development of software for current and future medical diagnostic instruments, including algorithm development, processing code, and middleware Writing code and algorithms in accordance with good software practices, with a preference for prior experience with standards and medical device regulations (e.g. ...

novel medical diagnostic product Responsibilities: Development of software for our current and future instruments, including algorithm development, processing code and middleware. Writing code and algorithms in accordance with good Software practise - Experience of relevant standards and medical device regulations would be beneficial (e.g. ...

critically assess state‐of‐the‐art (SOTA) research relevant to internal research and innovation objectives Design, develop, and evaluate novel AI methodologies, models, and algorithms beyond existing approaches Adapt academic research into practical solutions for applied research projects and technological demonstrations Conduct rigorous experimental research, including benchmark design, ablation studies ...

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 ...