1 to 25 of 762 Permanent Algorithms Jobs in London

Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning models or developing algorithms for business applications in a customer-facing domain Familiarity with causal inference techniques and concepts Experience communicating complex topics and results to high-level stakeholders More ❯

authorized to work in the U.S. without the need for current or future sponsorship. Responsibilities: Research and implement state-of-the-art machine learning algorithms and techniques Design, develop, and deploy machine learning models and systems that can address various engineering problems and opportunities Perform data analysis, preprocessing, feature engineering More ❯

Operations function • Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. • Experience in building and maintaining APIs for data integration and delivery. • Experience with data warehouse platforms such as Snowflake a More ❯

Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a More ❯

Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a More ❯

MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability More ❯

looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. You will be working with large, complex, and unique datasets to solve a wide range of More ❯

looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. You will be working with large, complex, and unique datasets to solve a wide range of More ❯

sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models More ❯

opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and More ❯

for NLP tasks. Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG. Document and text Classification Data Science: Data clustering algorithms, feature engineering Evaluate and integrate new technologies and models. Cross-team collaboration, identifying innovations and architecting solutions. Provide leadership and technical direction to various business More ❯

engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and More ❯

years of experience in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control More ❯

governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical More ❯

tools, and practices. Position may require being on-call at times. About you: Experience building customer and or sales facing technology Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice design patterns Bachelor's or Master's degree in Computer Science or related field (or equivalent More ❯

methodologies (XP, SCRUM, Kanban) and continuous integration. A degree in Computer Science, Physics, Engineering, or Mathematics. Excellent problem-solving, analytical skills, and understanding of algorithms, data structures, and design patterns. Familiarity with messaging middleware, TCP/IP networking, and large-scale distributed systems. Strong communication skills and ability to collaborate More ❯

in the high-frequency trading (HFT) industry, with a deep understanding of the unique challenges and requirements of this fast-paced environment. Expertise in algorithms and data structures, with the ability to design and implement complex solutions to optimise performance and efficiency. Excellent problem-solving skills, with a track record More ❯

in the high-frequency trading (HFT) industry, with a deep understanding of the unique challenges and requirements of this fast-paced environment. Expertise in algorithms and data structures, with the ability to design and implement complex solutions to optimise performance and efficiency. Excellent problem-solving skills, with a track record More ❯

methodologies (XP, SCRUM, Kanban) and continuous integration. A degree in Computer Science, Physics, Engineering, or Mathematics. Excellent problem-solving, analytical skills, and understanding of algorithms, data structures, and design patterns. Familiarity with messaging middleware, TCP/IP networking, and large-scale distributed systems. Strong communication skills and ability to collaborate More ❯

Degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent work experience Understanding of computer science fundamentals such as data structures and algorithms Excellent communication skills, comfortable interacting with business teams Knowledge of market data systems Experience building feed handlers or working directly with exchange APIs Preferred Skills More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

technology to the business You have strong Git experience You have a thorough understanding of Computer Science fundamentals including OOP, Data Structures, Design Patterns, Algorithms You have a good knowledge of APIs You are degree educated in a relevant discipline from a top tier university, Computer Science preferred Experience within More ❯

in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services More ❯

in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services More ❯

AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services More ❯