1 to 25 of 62 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 ...

JavaScript/TypeScript and React Experience or familiarity with backend languages such as Java, Python, or Go Solid understanding of software engineering fundamentals, including algorithms and data structures Experience using Docker for containerisation Good understanding of DevOps practices, including CI/CD pipelines and automated testing Strong communication skills 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 ...

pipelines. Review code, mentor teammates, and promote engineering best practices. Profile The Backend Developer will have strong software engineering fundamentals, including data structures, algorithms, and system design. Professional experience building and operating backend applications in production environments. Proficiency in at least two or morebackend programming languages such as: Python ...

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 ...

workflows. Knowledge of Docker and containerised application deployment. Familiarity with CI/CD pipelines, automated testing, and DevOps practices. Understanding of software engineering fundamentals, algorithms, and data structures. Exposure to Kubernetes or other container orchestration platforms. Awareness of web security principles and secure development practices. Experience working within Agile delivery ...

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 ...

product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation of potential solutions; review indicative results and proofof- concepts with multi-disciplinary teams ...

have a good knowledge of event driven architecture You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, Algorithms You have a good understanding of CI/CD and Infrastructure as Code (IaC) You have an appreciation of Azure, SaaS, PaaS, microservices ...

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 ...

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 ...

maintain software using core Python features including iterators/generators, exception handling, file handling, type hints, OOP, and data structure design. Build scalable algorithms and write clean, maintainable, and well-structured code. Develop and maintain RESTful APIs using OpenAPI/Swagger, Connexion, or FastAPI. Work with Python web frameworks such ...

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. ...

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 ...

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 ...