26 to 50 of 407 Algorithms Jobs

continuous integration and delivery processes. • Pipeline Implementation: Build and manage complex pipelines to ensure automated testing and reliable deployment of Java-based trading algorithms, including scaling Jenkins or migrating to alternatives like GitHub-Actions. • Infrastructure & Containerization: Manage application containerization using Docker to maintain consistency across development, testing, and production environments. ...

including workflows, databases, and cloud architectures Creating an exceptional user experience for advanced engineering tools Developing background daemons and orchestration software to run optimisation algorithms in parallel Identifying and scoping new features and future R&D opportunities Producing technical specifications for external subcontractors and managing those relationships Supporting the development ...

optimise pricing, enhance customer experiences, and support international expansion. Key Responsibilities Technical Leadership & Data Science Execution Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks. Apply statistical modelling, machine learning and experimentation techniques to real‐world business problems. Use Python, R and SQL for data exploration, feature engineering ...

their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors ...

their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors ...

their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors ...

their domain. Lead code/design reviews and communicates updates to stakeholders with team to ensure smooth daily operations and accurate planning. Develop complex algorithms to solve business needs. Investigates and resolves complex application and system technical problems and production issues by directing troubleshooting of end-to-end solutions. Mentors ...

commercial and operational confidence. Responsibilities * Collect, process and analyse large, complex datasets to identify trends, risks and opportunities * Design, develop and maintain data models, algorithms and predictive analytics solutions * Create dashboards and reports in Power BI to clearly visualise insights and performance metrics * Work collaboratively with cross functional teams ...

using Azure or VM-based cloud infrastructure. Develop Python-based automation, data ingestion tools, and analytics. Apply signal processing and analytics to build predictive algorithms for maintenance, safety, and environmental monitoring. Create user-friendly dashboards and interfaces that turn complex data into actionable insights. Manage cloud infrastructure using Infrastructure ...

financial users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

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 ...

within rendering systems. Collaborate with graphics and rendering teams to integrate AI models into real-time engines and production pipelines. Prototype, benchmark, and productionize algorithms for photorealistic 2D/3D content generation. Advance techniques in neural rendering, scene generation, and AI-driven photorealism. Improve model efficiency, scalability, and deployment performance. ...

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 ...

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 ...