26 to 50 of 328 Algorithms Jobs in England

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 ...

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. ...

C#, Linux, PCB layout, STM32, Atmel, KiCAD, VS, Prototyping, GIT version control, serial protocols, SDKs, TCP/IP, Ethernet, Python, Java, Pascal, applied mathematics, algorithms, Mathematics. ...

asynchronous and event driven programming Experience developing real-time applications Familiar with building distributed systems Knowledge of networks and topologies Firm grounding of common algorithms Excellent oral and written communication skills Proactive team player with a "can-do" attitude Excellent analytical problem solver Attention to detail and thoroughness a must ...

software engineering teams before and know how to get the best out of talented people. - You can talk architecture and algorithms, but you also understand delivery, stakeholder management, and building engineers' careers. - You have a previous hands on software engineering background - You've worked in Engineering, Robotics ...

enhance an FX Options portfolio optimisation platform with full valuation and risk metrics Translate front-office trading and risk management requirements into robust, executable algorithms Implement and maintain models covering: Vanilla FX options pricing First and second order Greeks Volatility surface modelling Stochastic and statistical market models Apply optimisation ...

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 ...

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 ...

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 ...

best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As aLead ...

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 ...

their skills. Shape the architecture and technical direction of our products, balancing scalability with speed of delivery. Design and integrate AI models and algorithms that unlock insights from national connectivity data to tackle real-world challenges. Leverage unique datasets from Ofcom, Openreach, independent networks and ISPs to uncover problems that ...

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 ...

allow you to develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug ...

from the police.- Develop APIs for secure data exchange between systems.- Build and deploy microservices for data ingestion and processing workflows.- Host and execute algorithms or data science models within backend services.- Ensure secure data handling and compliance with justice-related data requirements.- Manage CI/CD pipelines and automated ...

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 ...

Poetry/uv) Automated testing (pytest, unittest.mock, BDD/behave, JSON schema) Concurrency and parallelism (threading, multiprocessing, async I/O) Solid understanding of algorithms, data structures and optimisation Linux/UNIX proficiency, including POSIX concepts and networking Experience interfacing with C/C++ APIs and basic C++ knowledge Strong ...

experience building, testing and deploying APIs & distributed systems Familiarity with microservice architectures and event-driven systems Strong knowledge of design patterns, data structures, algorithms and problem-solving Experience with cloud-based infrastructure (AWS; Kubernetes and Terraform a plus) and DevOps practices Thorough knowledge of Git and other contemporary development technologies ...

best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence Apply now to find out more about this ...

selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition ...

Enthusiasm to learn and iterate quickly You’ll be contributing to and shipping real products Preferred Qualifications Experience with TypeScript and SQL Experience with algorithms and data structure Experience with personal or university projects (website and GitHub links very welcome) London based or able to work hybrid with our team ...

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 ...

reports for clinical and operational teams. Advanced analytics tasks involve applying predictive modeling, machine learning, and statistical techniques to Pathology data, developing algorithms for forecasting and anomaly detection, and integrating outputs into dashboards using tools like Python or R. As a site lead, the role acts as the primary ...

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 ...