51 to 75 of 628 Algorithms Jobs in London

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. ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

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 ...

related field (or equivalent experience). 5+ years of experience in developing and deploying machine learning models. Strong understanding of machine learning algorithms, deep learning architectures, and statistical concepts. Proficiency in programming languages like Python (with libraries like TensorFlow, PyTorch, scikit-learn). Experience with data wrangling tools and technologies ...

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 ...

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 ...

with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less ...

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. ...

eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. ...

deep understanding of (but not limited to): Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least ...

pipelines, planning your own work and contributing code to a shared codebase alongside Research Engineering team members, Software Engineers and Data Scientists. Implement algorithms developed within our Life Sciences teams to a high standard of robustness, testing and performance. Run high-quality analyses of large-scale biological datasets using existing ...

time market data into Align, Endur, and Front Office trading platforms. Familiarity with Flink, Spark Streaming, and modern stream-processing technologies. Knowledge of execution algorithms, quantitative trading strategies, and best execution frameworks. Experience with MDSL, TRG Screen, DACS, or other market data inventory and entitlement platforms. Experience supporting enterprise-wide ...

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 ...

conduct code reviews and debugging for code written by others Troubleshoot complex technical problems and implement creative software solutions beyond routine approaches Maintain algorithms and services that integrate with dependent systems reliably and efficiently Identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture ...

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 ...

will help foster a culture of collaboration and continuous learning. Job Responsibilities Lead the development, implementation, and scaling of advanced machine learning models and algorithms to address operational challenges Set technical vision and strategy for AI/ML initiatives, aligning with business goals Oversee the architecture and deployment of generative ...

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 ...

/IP), multi‐threaded applications, computational intelligence, real‐time programming, or GUI programming A strong understanding of object‐oriented design, data structures, and algorithms A solid foundation in programming with the ability to think, communicate, and code clearly Strong communication skills to advocate your ideas in a clear and concise ...

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 ...

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 ...

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 ...

problems faced by customers. Quality Assurance and Compliance Develop and enforce statistical standards and best practices for all experimentation processes. Monitor and evaluate statistical algorithms to ensure accuracy, reliability, and scalability. Provide internal stakeholders with guidance on statistical compliance and methodologies to safeguard the credibility of experiment results. Education ...

developer software stack which is our interface to this environment: our SDK, tools, algorithm libraries and integrations that let researchers, enterprises, and developers develop algorithms and applications for ORCA's photonic quantum processors. You will work across science, engineering, and commercial teams to make our software easy to adopt ...