1 to 25 of 635 Permanent Algorithms Jobs in England

Expect You Have 10+ years of experience building large-scale and low-latency distributed systems. Proficiency in Java or C++. Strong understanding of algorithms, data structures, performance optimization, object-oriented programming, multi-threading, and real-time programming. Experience with distributed caching, SQL/NoSQL, and other databases is a plus. ...

Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering principles (testing, code quality, design patterns) Familiarity with version control (Git), CI/ ...

manage suppliers/stakeholders contributing project components of a larger Data Science oriented programme of work. Desirable criteria Knowledge in key Machine Learning based algorithms: Supervised (Linear regression, SVM, Random Forests, Gradient Boosting and Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification ...

Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology ...

Node.js, Express) on cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience using modern AI-assisted and agentic development workflows in day-to-day engineering usingAI/ ...

such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client. Key Responsibilities Design, build, and deploy scalable machine learning algorithms and software solutions. Analyse, cleanse, and normalise complex time-series data and dynamical systems. Integrate ML models into production using cloud platforms and modern JavaScript ...

than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc). Strong analytical and problem-solving skills ...

implementing AI agents or intelligent systems. Strong proficiency in programming languages such as Python, Java, or C++. In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures. Solid understanding of software ...

strategies across various asset classes and markets. Design and develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis Implement and optimise execution algorithms to improve trading efficiency and reduce market impact Analyse market microstructure and develop models to predict short‐term price movements Collaborate with quants, developers ...

designing and delivering complex business-critical systems. Strong proficiency in Scala, Java or similar enterprise development languages, together with strong knowledge of data structures, algorithms, concurrency and distributed-system design. Candidates with strong experience in other languages such as Python, C++ or C# are encouraged to apply. Experience developing scalable ...

Engineering, Mathematics, Physics or Computer Science Markets experience and familiarity with general trading concepts and terminology Knowledge of options pricing theory, trading algorithms or financial regulations Experience with robust testing and verification practices #J-18808-Ljbffr ...

design and deliver production systems that enable systematic trading at scale. You partner with researchers and traders to translate ideas into resilient, performant algorithms and execution platforms. You thrive in a dynamic, collaborative environment and bring a builder’s mindset to continuously improve models, tooling and workflows. Job responsibilities Design ...

Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical maturity — comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability Deep proficiency in Python; experience with ...

Spring Experience of working with event driven systems, microservices, micro-frontend UIs Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Bachelor’s degree in computer science or engineering field involving software programming ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature ...

related technical field that involves programming. Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some ...

them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real‐world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. ...

teams. This can be technical leadership and/or line management. Experience of leading teams following agile principles. Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature. Experience ...

managing teams. This can be technical leadership and/or line management.Experience of leading teams following agile principles.Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.Experience of training ...

support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future ...

service-to-service communication Familiarity with cloud-native technologies such as AWS, Docker, Kubernetes, Kafka or equivalent technologies Good understanding of data structures, algorithms, APIs, microservices, and distributed systems fundamentals Understanding of source control, automated testing, CI/CD, and modern software development practices Clear communication skills and the ability ...

engineers where appropriate Essential criteria Professional software engineering experience Commercial experience developing backend applications or services using Golang Strong understanding of software engineering principles, algorithms and data structures Experience working across the full software development lifecycle Experience with Git and collaborative development practices Experience with Docker and containerised application delivery ...

machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. ...

experience building backend applications or services. Strong programming skills in Go, Java, Python, or a comparable backend language . Good understanding of data structures, algorithms, APIs, microservices, and distributed systems fundamentals. Experience working with SQL and/or NoSQL databases. Understanding of asynchronous processing, messaging, retries, fault tolerance, and service ...