1 to 25 of 496 Permanent Algorithms Jobs in England

. Strong proficiency in Python and key data science libraries ( NumPy, pandas, scikit-learn, Matplotlib, Seaborn ). Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Knowledge of data querying and manipulation using SQL . Familiarity with Jupyter Notebooks , Git , and version control workflows. Strong analytical ...

field. Strong proficiency in Python and key data science libraries (NumPy, pandas, scikit-learn, Matplotlib, Seaborn). Basic understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Knowledge of data querying and manipulation using SQL. Familiarity with Jupyter Notebooks, Git, and version control workflows. Strong analytical thinking ...

have advanced analytical and problem solving skills with a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Deign Patterns, Algorithms You have commercial Golang development experience (likely to have a background with other OO languages such as Python, Java, C++ but you must be happy ...

experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking ...

experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking ...

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. ...

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/ ...

trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimisation algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift ...

trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimisation algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing complex mathematical models that allow ...

best practices 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 ...

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 ...

associated ML packages (HuggingFace, TensorFlow, PyTorch) Proven experience 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. ...

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

Strong hands‐on programming experience, in at least one object‐oriented language (Java/Python) Proficient in AI‐assisted development Knowledge of data structures, algorithms, and designing for performance Solid communication and interpersonal skills are a must given that the role will involve interacting with traders & salespeople Preferred Qualifications: Experience ...

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 ...

build, train, and scale ML models. As Head of Data Science, you will lead the development and implementation of state‐of‐the‐art algorithms, including Computer Vision techniques, LLMs and other GenAI models. Collaborating closely with multiple stakeholders and cross‐functional teams, including Data and Software engineers, to integrate ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...