1 to 25 of 112 Remote Algorithms Jobs in London

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

technology solutions that empower analysts and support commercial decision-making. We provide direct technology support worldwide, combining IT expertise with practical analytics experience, including data science methods, statistics, numerical algorithms, derivative pricing, and optimisation. You will deliver practical technology solutions while supporting strategic initiatives such as modern data repositories, data ontologies, analytical toolkits, visualisation technologies, and cloud computing. You will More ❯

e.g., Wireshark), Solace , and 10GbE multicast Knowledge of FIX protocol and other market connectivity standards Domain Knowledge Front-office experience in FX trading or quantitative finance Understanding of pricing algorithms , dynamic spreading , and FX ECNs FX Options knowledge is a plus Methodologies & Collaboration Experience with Agile, Scrum, or Kanban delivery frameworks Strong communication skills with the ability to liaise between More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution Proficiency in Python and SQL Working knowledge of Graph analytics/data science algorithms, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts. Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.) Experience with various operating systems (Linux, Windows), cloud More ❯

skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution Proficiency in Python and SQL Working knowledge of Graph analytics/data science algorithms, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts. Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.) Experience with various operating systems (Linux, Windows), cloud More ❯

skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution Proficiency in Python and SQL Working knowledge of Graph analytics/data science algorithms, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts. Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.) Experience with various operating systems (Linux, Windows), cloud More ❯

skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution Proficiency in Python and SQL Working knowledge of Graph analytics/data science algorithms, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts. Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.) Experience with various operating systems (Linux, Windows), cloud More ❯

Experience with risk management & AI governance frameworks in financial services preferred. Technical Skills: Proficiency in Python and SQL for data analysis and model development. Intermediate understanding of machine learning algorithms, statistical modelling, Gen AI solution architecture. Familiarity with AWS and Snowflake environments is highly desired. The role focuses on hands-on data analysis of structured & unstructured data & not necessarily model More ❯

Strong command of SQL for database management, query optimisation and No SQL databases Experience in Python Programming and data visualisation using PowerBI or similar tools Exposure to applying ML algorithms, libraries or frameworks and build models to predict outcomes and automate processes Significant experience working within an Agile software development and delivery process. Comfortable participating in backlog estimation, planning poker More ❯

be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive More ❯

What you'll do Leading the development and maintenance of in-house C++ and Python model libraries. Pioneering advancements in the quantitative toolbox through the development of new technologies, algorithms, and numerical techniques. Driving significant efficiency improvements and optimization within the analytical libraries. Collaborating extensively with IT teams to integrate complex analytic libraries into production systems. Overseeing the development and More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

Java and Kotlin development experience You have experience with Agile processes and TDD You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good More ❯

Java and Kotlin development experience You have experience with Agile processes and TDD You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good More ❯

language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and engineers to explore and evaluate new ideas Assist in preparing publications and technical reports Stay up to date with the latest advancements in AI and related More ❯

language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities:- Contribute to ongoing research in machine learning and artificial intelligence Help develop and implement algorithms Collaborate with researchers and engineers to explore and evaluate new ideas Assist in preparing publications and technical reports Stay up to date with the latest advancements in AI and related More ❯

to use C# going forward) You 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's in it for you: As More ❯

to use C# going forward) You 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's in it for you: As More ❯

to use C# going forward) You 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's in it for you: As More ❯

with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language More ❯

network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Developer you will focus on enabling the core product, written in C/C++ More ❯