9 of 9 Remote Algorithms Jobs in the City of London

SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and More ❯

in a fast-moving, collaborative team. What we’re looking for Strong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Solid understanding of ML algorithms (not just how to run them) Clear communicator across tech and non-tech teams Awareness of data drift and model monitoring Amazing visualization skills; ideas need to land Bachelor's More ❯

a good knowledge of analytics and Risk for one or more financial products You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience within a similar financial trading systems environment You are collaborative with excellent communication skills You are degree educated in Computer Science or similar STEM discipline, having achieved More ❯

high- impact initiatives that drive innovation across the media ecosystem, including: Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and More ❯

scalable data management systems. Ensure systems meet business requirements and adhere to industry best practises. Develop, implement, automate, and maintain large-scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Collaborate with data architects, modellers, and IT team members to achieve project goals. Execute plans and policies that control, protect, and enhance the More ❯

growing D2C ecommerce business. Why join? Own the end-to-end strategy across pricing and data, two of the most commercially important areas in the business. Influence how pricing algorithms are developed and deployed to directly drive profit and sales. Lead the transformation of pricing systems that directly influence revenue and margin. Drive the development of a modern data platform More ❯

About Optibus: Optibus is a unified software platform revolutionizing public transportation planning, scheduling, and operations in over 7,000 cities worldwide. Using AI, ML, and optimization algorithms, it empowers agencies to design more efficient, equitable, and sustainable transit networks, enhancing passenger access, reducing emissions, and improving driver conditions. With offices globally and a team of 350+ employees, Optibus fosters a More ❯

performance metrics quantifying the effectiveness of the risk framework. Reviewing electronically traded flow in the context of system capacity constraints and the operational environment. Reviewing the use of trading algorithms and the associated risk & control framework. Developing a uniform standard for the use of trading algorithm controls taking account trading requirements and market impact. Working with Technology to identify and More ❯

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯