76 to 100 of 248 Algorithms Jobs in London

deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning #J-18808-Ljbffr ...

C++ 17/20 Some familiarity with Python Ability to architect and implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master's/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Strong sense of ownership, ability ...

C++. Strong command of modern C++ (C++11/14/17/20) , STL, templates, memory management and performance tuning. Deep understanding of algorithms, data structures, concurrency and distributed systems. Experience building high-performance, real-time or low-latency applications . Strong problem-solving skills and the ability to work ...

Responsibilities: Hands-On Analysis: Leverage your analytical mindset to tackle complex business problems and prototype effective solutions. Algorithm Design: Apply, modify, and design advanced algorithms and mathematical models to extract meaningful insights from large data sets. Communication: Validate, document, and present modelling processes and performances, ensuring clarity for both technical ...

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 ...

rates business. Improve and transform infrastructure for automated market‐making models and data‐driven trading tools. Responsibilities Implement electronic market‐making models (hedging algorithms, bid‐offer models, price predictors, automated pricing models) using a wide variety of programming languages, including Java, KDB, and Python. Develop data‐driven tools for trade ...

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 ...

rates business.* Improve and transform infrastructure for automated market-making models and data-driven trading tools.**Responsibilities:*** Implement electronic market-making models (hedging algorithms, bid-offer models, price predictors, automated pricing models), using a wide variety of programming languages, including, java, KDB, python* Implement data-driven tools for trade recommendations ...

product’s capabilities are ahead of competitors in the market. Responsibilities Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

stability. Own work autonomously in a high‐trust environment. What You’ll Need Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems). Understanding of scalability and distributed systems (sharding, partitioning, concurrency, etc.). Team player who is a thorough understander of engineering best ...

improvement Creating systems which provide in-depth insight to investigators on red flags and typologies present on profiles/transactions Deployment and Implementation Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments Implementing and maintaining scheduled processes for data gathering and model retraining using ...

wider context of the business and designing system architectures that meet short and long term business goals Your skillset: Some foundational understanding of algorithms and data structures Developing basic technical knowledge in observability, with some prior exposure being beneficial Familiarity with web services, REST, and Learning about containers and cloud ...

into the company's Lattice ecosystem, and developing breakthrough systems that will shape the future of the battlefield. We build Software services and Autonomy algorithms that solve some of the hardest problems facing our customers. As a Mission Software Engineer on the Maneuver Dominance team, you will solve a wide ...

problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware‐aware AI algorithms and AI‐aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine ...

this journey: Foundation Model Task Adaptation We are the team behind DeepL's post-training stack for large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay ...

Foundations: Strong understanding of system architecture, API design, scalable service integration, Linux systems, and Git version control. Core Soft Skills: Strong knowledge of basic algorithms, object-oriented/functional design principles, and best-practice patterns. Excellent communication and collaboration skills in English for seamless international teamwork. A relevant educational background ...

this journey: Foundation Model Task Adaptation We are the team behind DeepL’s post-training stack for large language models. We focus on developing algorithms and systems that align pre-trained models with tasks and performance goals through techniques like reinforcement learning. As a research-driven team, we stay ...

system, the team, and the real‐world outcome. Nice to have: Experience with routing, scheduling, optimisation, forecasting, logistics, mobility, or marketplace systems. Experience productionising algorithms, solvers, models, or data‐heavy decision systems. Familiarity with optimisation techniques such as linear/integer programming, constraint programming, heuristics, or solver‐based approaches. Experience ...

University of Cambridge applying machine learning to messy and incomplete data systems. During his research he worked with NASA on earthquake-prediction algorithms, and built models for search-and-rescue teams estimating structural damage to buildings after the Beirut port explosion. Luke is also a new father, runs marathons ...

Morgan Stanley is seeking a Senior Quantitative Software Engineer at the Vice President level to join their FIDCOM department in Greater London. This role focuses on developing trading critical technologies, such as market making engines ...

theoretical models into practical systems. Maintain and improve research infrastructure, tools, and workflows. Prepare technical documentation and reports. Key requirements: Experience implementing machine learning algorithms and techniques. Proficiency in Python, C++, or similar programming languages. Strong problem-solving skills with the ability to work independently and collaboratively. Clear written ...

given the autonomy to own your work in a high trust environment Requirements Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems) Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc Being a team player A thorough understanding of engineering best practices from ...