76 to 100 of 779 Algorithms Jobs in London

calculation engine and related tooling for loan loss forecasting models, supporting CECL, IFRS 9, CCAR, ICAAP, and Risk Appetite requirementsImplement high-performance numerical algorithms using Python scientific computing libraries including NumPy, Pandas, and DuckDBChampion test-driven development practices across the team, building and maintaining comprehensive unit, integration, and regression test ...

/skill design, evaluation, cost control, provider routing, agentic/human‐in‐the‐loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical and production use, ideally PostgreSQL, including complex joins, CTEs and aggregation AWS: EC2, ECS, S3; DevOps ...

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. You should ...

contribute & drive on complex industrial scale development of systems independently Thorough knowledge of Java programming concepts Strong knowledge of object oriented programming, data structures, algorithms and design patterns Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning ...

working as a Software Engineer with one or more domains and/or technologies of expertise Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design Experience troubleshooting and analyzing remotely deployed software systems Capacity to work holistically on software ...

technologies, enhancing their robustness, and solving complex problems prior to their productization. We’re looking for someone inventive, who can prototype and trial novel algorithms, combining prior internal research, open-source contributions, and their own ideas to create novel user experiences. This role offers the chance to collaborate with some ...

professional experienceTechnical Proficiency:Proven experience with Python and popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn.Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Experience with cloud computing platforms (e.g., AWS, Azure, GCP or equivalent) and their AI/ML services.Proficiency in data manipulation ...

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 ...

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 ...

approach Experience with modern AI concepts such as Large Language Models (LLMs) and agentic systems is highly desirable. Expertise in translating mathematical models and algorithms into code (Python, R or C++). Ability to manage multiple tasks and thrive in a fast-paced team environment. Excellent analytical skills, with strong ...

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 ...

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 ...

solutions in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure, AWS or GCP cloud environments Knowledge of data engineering principles including ETL processes, data pipelines ...

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 ...

have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What ...

level languages (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 processes, build ...

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 ...

model and strategy performance, translating qualitative desk intuition into quantitative improvementsCollaborate with fellow quant team members on research initiatives spanning electronic market making, execution algorithms, and transaction cost analysisChallenge existing approaches — bring fresh perspectives, propose improvements, and drive iterative development of our quantitative toolkitWrite clean, well-structured, production-quality code ...

equivalent In-depth knowledge of Capital Markets and Equity Market MicrostructureStrong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. Advanced proficiency in Python.Strong analytical, quantitative and problem-solving skills.Ability to translate business and quant requirements into scalable target architectures and implementation ...

position offers opportunities to grow your technical and non-technical skills and make a global impact immediately. Key job responsibilities- Develop machine learning algorithms for high-scale recommendations problems- Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business ...

team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings ...

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 ...

accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI ...

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 ...

with architecture, design, development, and deployment of large scale enterprise systemsUnderstand security concepts like OAuth and build reliable and safe applicationsKnowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerationsExperience working with relational databases including development, troubleshooting and performance optimization.Understanding and hands-on experience with ...