51 to 75 of 449 Algorithms Jobs in the UK

professional experience in a technical support, SRE, or operations role within a fast‐paced trading or financial environment. Proven aptitude for understanding complex algorithms, data structures, and software design principles relevant to high‐performance systems. Solid understanding of Linux operating system internals and networking concepts. Strong analytical and problem‐solving ...

quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading ...

fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions. Research, develop, and champion ...

collaborate closely with data engineering Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science Advanced Python & SQL Statistical modelling & ML algorithms Feature engineering Experiment design & evaluation AWS ML Stack SageMaker (training, endpoints, pipelines) Bedrock (foundation models incl. Claude) Lambda (serverless inference) S3, Glue, Athena CloudWatch ...

/MSc/PhD in Computer Science, Machine Learning, Engineering, or related field 2+ years of industry experience Core Skills Solid understanding of algorithms, data structures, and computational complexity Proficiency in Python with clean, maintainable coding practices Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise Solid understanding ...

container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage ...

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 ...

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 ...

professional experience in a technical support, SRE, or operations role within a fast-paced trading or financial environment. Proven aptitude for understanding complex algorithms, data structures, and software design principles relevant to high-performance systems. Solid understanding of Linux operating system internals and networking concepts. Strong analytical and problem-solving ...

across multiple verticals (e-commerce, retail, travel, gaming, financial services) Experience building AI/ML-powered products or working with fraud detection and optimization algorithms Published articles or industry contributions in AdTech and performance marketing Experience working with enterprise clients and navigating complex B2B sales cycles Prior experience ...

professional experience in a technical support, SRE, or operations role within a fast‐paced trading or financial environment. Proven aptitude for understanding complex algorithms, data structures, and software design principles relevant to high‐performance systems. Solid understanding of Linux operating system internals and networking concepts. Strong analytical and problem‐solving ...

quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading ...

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 ...

Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems, writing clean, production-ready code Select the best algorithms for each problem What You Will Bring 2–3+ years in Data Science or similar role Strong Python and machine learning expertise At least ...

have been gained as an internship or placement) You have a thorough understanding of CompSci fundamentals such as OOP, data Structures, Design Patters, Algorithms You are collaborative and enjoy problem solving What's in it for you: As a Junior Software Engineer/Developer (C++ Windows) you will receive: Salary ...

Management System components Build high‐performance, multi‐threaded backend services that support real‐time flight planning and air traffic control integration Implement and optimise algorithms for fuel‐efficiency, route calculations, and aircraft performance modelling Develop Angular UI components for operational tooling, visualisation and configuration layers Collaborate with architects, engineers ...

maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure on GCP and Azure to support data processing, storage, and model deployment. Design RESTful APIs ...

outstanding academic background (Computer Science, Maths, Physics or similar) Demonstrate strong experience with C#/.NET Possess a solid foundation in data structures, algorithms, and system design Show evidence of technical curiosity and extracurricular projects Be motivated to work in a high-performance, collaborative environment Exposure to financial markets (bonds ...