1 to 25 of 47 Algorithms Jobs in the City of London

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

trade-offs for complex ML systems Model Development & Production Design and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimisation algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics and problem context. ...

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 ...

performance tuning. Experience designing and operating distributed systems (microservices, event-driven architectures, messaging/streaming). Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS). Proven experience in e-trading or real-time financial systems (FX highly desirable), including familiarity with market data, order flows ...

clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience). As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working ...

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 ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using ...

will focus on the development of disruptive technologies for HPC, AI/ML Technologies for real time Imaging. This role will focus on Algorithms development to optimise Metaheuristic optimisation and also develop code and to test it. The successful applicant will have a good relevant Degree or PhD with proficiency ...