76 to 100 of 982 Algorithms Jobs in London

interfacing external systems, and collaborating with front-end developers to integrate user-facing elements with server-side logic Designing efficient data structures and algorithms to manage large-scale and high throughput data Optimizing applications for speed and scalability through performance analysis Actively improve user workflows by collaborating with cross-functional ...

developing engineers across the team. Thorough knowledge of Java programming concepts (and Python a plus). Strong grounding in object-oriented programming, data structures, algorithms, and design patterns. Experience building highly available, low-latency systems with a small footprint – including JVM internals, performance optimization, concurrency, and tuning for GC-free ...

learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over-provisioning while maintaining strict SLAs. Complementary Behaviours Toil-Reduction Mindset: A relentless focus ...

latency. Understanding of AI governance, security, privacy, bias/fairness, and emerging AI regulation. Machine Learning Mastery: Profound understanding of machine learning principles, algorithms, and frameworks. Able to design and implement models, optimize performance, and manage training pipelines effectively. Technical Proficiency: Proficiency in programming languages commonly used in AI development ...

Python & C++ or similar). Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka). Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release ...

Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high‐quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions ...

experience building production LLM-powered or agentic applications, including tracing, evaluations, and guardrails Strong Python programming skills and deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Knowledge of Kubernetes (AWS EKS) Experience training models in Databricks and SageMaker Experience with MLFlow Practical RAG experience ...

business. Your work will contribute to optimizing processes and driving efficiency across the team. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to address operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications ...

What You’ll Bring: 5+ years of experience in a high‐impact, production environment as a software engineer Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc. Clean and concise coding style Solid experience with Python Experience working in Linux environment Experience building distributed or data intensive systems ...

cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelinesSolid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offsExperience mentoring engineers through code review, pairing, debugging, documentation, and the promotion ...

native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs Experience mentoring engineers through code review, pairing, debugging, documentation, and the promotion ...

Demonstrated experience deploying, operationalizing, and managing AI, ML, or advanced analytics models in a large-scale enterprise environment Working knowledge of AI/ML algorithms, statistical modeling, and scalable data processing pipelines Proficiency with Python-based machine learning libraries such as TensorFlow, PyTorch, and scikit-learn Familiarity with orchestration frameworks ...

What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge ...

experience in implementing them in object-oriented fashion Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices Hands-on with Solr/Elasticsearch/OpenSearch for large-scale product search is a plus Strong ...

based languages such as Java, Kotlin. Experience designing and building RESTful APIs and microservices architectures. Solid understanding of software engineering fundamentals, including data structures, algorithms, and system design principles. Experience working with cloud platforms (AWS, GCP, or Azure) and modern DevOps practices (CI/CD pipelines, containerisation with Docker/ ...

technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights ...

standard coding languages such as C++, Python, or Java, with a strong understanding of underlying computer architecture and system operations A solid grasp of algorithms, memory and concurrency models, CPU‐architecture, operating systems and relational databases Have an entrepreneurial attitude and an interest in the financial industry An analytical mindset ...

place for you. What you'll be doing Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight ...

business. Your work will contribute to optimizing processes and driving efficiency across the team. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to address operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications ...

hand. Adaptability, fast learning, and deep computer science fundamentals are valued far above specialisation in any single framework. Broad Computing Fundamentals: Strong foundations in algorithms, system architecture, concurrency, distributed systems, and performance tuning. Low-Latency & High-Throughput Systems: Deep understanding of performance at the hardware level (memory layout and allocation ...

concurrency primitives, and collections.* Proven track record of architecting and building low-latency trading systems from the ground up.* Strong command of data structures, algorithms, and TDD/BDD practices, including thorough unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working ...

large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills, with a proactive approach to challenges. Can work collaboratively with cross‐functional teams. Thrive ...

core Java, specializing in low‐latency, high‐throughput distributed applications. Profound understanding of software development fundamentals, data structures, design patterns, object‐oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. ...

popular frameworks like SpringExperience of working with event driven systems, microservices, micro-frontend UIsExperience of following TDD and clean code principlesProficiency with data structures, algorithms and SQLAble to independently work in fast paced and rapidly changing environmentBachelor's degree in computer science or engineering field involving software programming or systems ...

strong portfolio of delivered projects. Proficiency in programming languages such as Python and TypeScript. Working knowledge of Git and version control. Strong understanding of algorithms, data structures, and software design principles. Familiarity with data manipulation and analysis tools such as Pandas, NumPy, and SQL. Experience across the Power Platform, including ...