1 to 25 of 115 Remote/Hybrid Permanent Algorithms Jobs

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 ...

computer engineering, or a related engineering field. Master's degree preferred. Advanced proficiency with Python, Java, and Scala. Strong computer science fundamentals such as algorithms, data structures, multithreading. Experience working with Generative AI, using LangChain for Gen AI and techniques like RAG. Experience using ML and DL Libraries: XGBoost, SKlearn ...

including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. Good understanding of common machine learning algorithms and a proven ability to teach and mentor junior data scientists. You are creative, organised, self-motivated, and able to drive ambitious data science projects ...

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 ...

APIs to support accurate risk analytics. Data Quality & Remediation Detect and remediate common market data issues including gaps, stale data, outliers, and misalignments. Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations. Support ongoing improvements to data quality controls ...

common JavaScript libraries (Angular, React, jQuery, Backbone, Redux etc.) Ability to program in Java, JavaScript, C, C++, C# Knowledge of common data structures and algorithms Desire and ability to pick up new technologies quickly Displays a passion for what you do and a drive to improve Strong problem-solving ...

Computer Science, IT, or related field. Proficiency in one or more programming languages: Java, Python, C#, JavaScript, or C++. Strong understanding of OOP principles, algorithms, and data structures. Experience with databases (SQL/NoSQL) and API integration. Familiarity with version control tools (e.g., Git). Strong analytical and communication skills. ...

mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise ...

Python solutions that bring mathematical models to life. 🛠 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 ...

Mathematics or related field or equivalent experience Proficient with any back-end programming languages (i.e. C#, Java, Python, C++, etc.) An understanding of complex algorithms and data structures, as well as a passion for intellectual challenges Strong self-discipline for delivering well-tested, complete features/modules under a tight ...

Azure technologies Required Qualifications Bachelors degree in Computer Science Data Science Engineering or related field Basic understanding of machine learning concepts and algorithms Familiarity with Python or R for data analysis and model development Exposure to Microsoft Azure services especially Azure Machine Learning and Cognitive Services Strong analytical and problemsolving ...

learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical ...

underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning ...

machine learning engineering Strong programming skills in Python Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistics Experience working with large datasets and data pipelines Professional working proficiency in English Nice to Have Experience with cloud platforms (AWS, Azure, GCP) Knowledge of Docker ...

Collaborate with data engineers and architects to enhance data quality, data flows, and platform capabilities Lead experimentation using modern ML frameworks to assess new algorithms and technologies and make recommendations on adoption Support model governance processes, ensuring compliance with internal standards, documentation, transparency, and regulatory requirements Advise business and product ...

have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What ...

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 ...

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. ...

make valuable discoveries leading to prototype development and product improvement. • Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. • Generate and test hypotheses and analyze and interpret the results of product experiments. • Partner with Marketing ...

software engineering teams before and know how to get the best out of talented people. - You can talk architecture and algorithms, but you also understand delivery, stakeholder management, and building engineers' careers. - You have a previous hands on software engineering background - You've worked in Engineering, Robotics ...

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 ...

maintaining test automation for large codebases Experience with testing multi-tiered backend systems Solid foundation in computer science, with knowledge of data structures, algorithms, and software design/architecture Passion for quality and an understanding of the latest test automation technologies and frameworks Experience in developing performance test plans ...

contractual/legal. Apply NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods. Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop a comprehension of the technologies ...

ownership and autonomy in a high-stakes environment What we’re looking for 2–5 years’ experience as a software engineer Strong fundamentals in algorithms & data structures Proficiency in Java, C++, Go, or similar (Go experience not required) Experience with distributed systems Interest in data analysis/statistics (regressions, data ...