76 to 100 of 657 Algorithms Jobs in London

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 ...

multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance Contribute to high-impact business applications, open-source software, and patents ...

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 ...

skills Hands-on software engineering experience with Java Spring Boot/Python or similar modern backend frameworks Understanding of software development fundamentals: data structures, algorithms, object-oriented design Experience with version control (Git) and working in collaborative development environments Eagerness to learn distributed systems, blockchain technologies, and cloud-native architectures ...

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 ...

Team, applying creative problem-solving to break down complex technical challenges and deliver scalable, reliable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems, ensuring performance and stability at enterprise scale Produce architecture and design artifacts for complex applications while ensuring design constraints ...

stored procedures, query optimization, and partition management, in large-scale or distributed data environments Problem solving skills with deep understanding of core computer science algorithms and data structures Training in computer science, math, physics or related technical fields Team player with excellent written and verbal communication skills Commitment ...

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 ...

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 ...

Solid Python knowledge A commitment to writing testable, maintainable code. Familiarity with more advanced SQL techniques. Strong Linux knowledge Basic, but broad, knowledge of algorithms and data structures. Degree in Computer Science or related field preferred. Highly preferred: Experience with TDD, BDD or other testing methodologies Preferred: Familiarity with PostgreSQL ...

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 ...

Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals—data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems, and can understand highly complex systems, design moderately complex services ...

with developing machine learning models and creating software pipelines to build and make predictions with those models Strong understanding of machine learning approaches and algorithms Deep understanding of Statistical/Probabilistic programming and Linear Algebra Be an expert in (Python, R, SQL) programming for Data Science and Time Series analysis ...

Deep experience operating Kubernetes and cloud infrastructure at scale Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware) Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental ...

that enhance the quality and personalization of sponsored listings for travelers Partner with machine learning and engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics, analyze performance data, and identify opportunities to drive growth in sponsored listings through ...

Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%. You’ll work on sophisticated Ruby on Rails and React software that turns diverse financial data into clear ...

design principles, Swagger/OpenAPI, and Spring REST MVC.* Proficient in building and delivering enterprise-grade Java applications.* Hands-on experience with data structures, algorithms, concurrency, and multi-threading.Database Management* Strong SQL knowledge with experience in relational databases such as Postgres.* Working knowledge of object storage solutions, e.g., AWS S3. ...

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 ...

PyTorch, or similar). Expertise in data engineering, including building and managing data pipelines and working with large datasets. Solid understanding of machine learning algorithms, model evaluation, and deployment practices. Experience with cloud platforms and scalable architectures is highly desirable. Candidates should demonstrate strong problem-solving skills, the ability ...

with experience writing production quality code using ML libraries and deep learning frameworks. Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex ...