1 to 25 of 242 Permanent Algorithms Jobs in England

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

organisations wider data and AI strategy. Role Responsibilities Collecting, cleaning, validating, and preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

deliver high-impact, data-driven solutions. Key Responsibilities Develop data pipelines , machine learning , and optimisation models in Python Build and industrialise ML/optimisation algorithms using best-practice software engineering principles Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster) Integrate ML/optimisation models into full product stacks ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Strong foundations in machine learning, algorithms, and statistics Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) Understanding of software engineering fundamentals and version control (e.g. Git) Ability ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

C#, Linux, PCB layout, STM32, Atmel, KiCAD, VS, Prototyping, GIT version control, serial protocols, SDKs, TCP/IP, Ethernet, Python, Java, Pascal, applied mathematics, algorithms, Mathematics. ...

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 ...

approaches. Work across the full software development life cycle: requirements, design, implementation, testing, deployment, and support. Produce secure, high-quality production code and maintain algorithms in sync with relevant systems. Consider upstream and downstream system impacts when designing and coding. Analyze large, diverse data sets to identify issues and inform ...

provider models to ensure we are continually optimising for quality and cost Skills Required: Competent in primary tech stack Confident with computer science basics (algorithms, data structures, complexity, design patterns) Is productive with the basic tools in their discipline Key Skills Can contribute to an existing framework Adheres to test ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

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 ...

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 ...

TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. ...

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 ...

secure defence environment Responsibilities Design and develop software using C++, with supporting development in Java and Python. Implement complex mathematical and signal-processing algorithms in efficient, maintainable code. Apply model-driven development, integrating autogenerated and hand-written software components. Use UML modelling tools (preferably IBM Rhapsody) to communicate and refine ...

clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience). As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working ...

microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. Passion for delivering elegant, high-performance software ...

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 ...

Poetry/uv) Automated testing (pytest, unittest.mock, BDD/behave, JSON schema) Concurrency and parallelism (threading, multiprocessing, async I/O) Solid understanding of algorithms, data structures and optimisation Linux/UNIX proficiency, including POSIX concepts and networking Experience interfacing with C/C++ APIs and basic C++ knowledge Strong ...