1 to 25 of 95 Algorithms Jobs in the South East

complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte‐scale or larger datasets. Solid foundation in data structures, algorithms, and object‐oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design ...

unstructured formats. Using strong critical‐thinking and problem‐solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising the dependencies Group companies have ...

core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Communication, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms (Inactive), Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data ...

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 ...

Experience with Docker for containerisation and deployment. Experience with Git, CI/CD and modern software delivery practices Strong understanding of software engineering principles, algorithms and data structures Desirable criteria Commercial Golang experience Experience building or deploying solutions in AWS or Azure JavaScript, TypeScript and React Automated testing frameworks Agile ...

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 in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines ...

e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi‐threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture‐level decisions. ...

e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions. ...

production environments Performing exploratory data analysis and visualisation to communicate findings to stakeholders Developing dashboards, visualisations, and digital decision-support tools Implementing and optimising algorithms for data processing, feature extraction, and model training Your Profile Bachelor's degree, Master's degree, PhD, or equivalent experience in a STEM discipline. Particularly ...

powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ...

creative, and technical teams to understand their data needs and deliver tailored solutio ns.Innovate with Da ta: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business grow th.Present Insigh ts: Communicate your findings to stakeholders in a clear and engaging manner, making ...

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 ...

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 ...

opportunities (for both parties)**Ways to Stand Out from the Crowd:*** Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.).* Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Triton, NeMo* Track record in crafting ...

Operating within an established Agile framework (SAFe or Scrum) The portfolio you will influence spans customer facing application software, advanced imaging and signal processing algorithms, embedded firmware on custom electronics, and internal production and R&D tooling. The technology The core application software runs on Windows IoT and is predominantly ...

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 ...