101 to 125 of 376 Algorithms Jobs in London

growth What We’re Looking For: 3+ years of hands-on experience with modern C++ Strong academic foundation in Computer Science, Mathematics, Physics, or related fields Excellent grasp of algorithms, data structures, and optimization techniques Passion for writing clean, efficient, and dependable code Proactive, curious, and collaborative mindset If you’re excited about working on world-class C++ software in More ❯

Bring: Strong Python and SQL experience Experience with low-latency, high-throughput systems (trading, fintech, or real-time applications) Familiarity with multithreading, network programming, and performance optimization Understanding of algorithms, data structures, and distributed systems Experience in trading systems or financial infrastructure is a plus, but blockchain/crypto experience is not required Passion for building high-quality, well-tested More ❯

Bring: Strong Python and SQL experience Experience with low-latency, high-throughput systems (trading, fintech, or real-time applications) Familiarity with multithreading, network programming, and performance optimization Understanding of algorithms, data structures, and distributed systems Experience in trading systems or financial infrastructure is a plus, but blockchain/crypto experience is not required Passion for building high-quality, well-tested More ❯

discovery. Own the full journey from concept to production deployment: Collaborate with multidisciplinary teams of world-class scientists and engineers Make your mark on the future of proteomics - your algorithms will directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or More ❯

discovery. Own the full journey from concept to production deployment: Collaborate with multidisciplinary teams of world-class scientists and engineers Make your mark on the future of proteomics - your algorithms will directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or More ❯

Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For 3–6 years of professional software engineering experience Strong academic grounding in algorithms and data structures Experience with concurrent programming and asynchronous systems Familiarity with distributed systems, microservices-based architectures Commitment to clean, disciplined software engineering practices Proficiency in Go, JavaScript, Java, C++ More ❯

Work across the full SDLC, from requirements gathering to deployment and support What We’re Looking For 3–6 years of professional software engineering experience Strong academic grounding in algorithms and data structures Experience with concurrent programming and asynchronous systems Familiarity with distributed systems, microservices-based architectures Commitment to clean, disciplined software engineering practices Proficiency in Go, JavaScript, Java, C++ More ❯

years of Python development experience in trading, finance, or other data-heavy environments Proven experience building back-testing systems , APIs , or automation pipelines Strong understanding of data structures, algorithms, and software engineering best practices Track record of designing scalable, production-grade systems Excellent problem-solving, collaboration, and communication skills Nice to Have Experience with NumPy, Pandas, Cython, or Numba Exposure More ❯

years of Python development experience in trading, finance, or other data-heavy environments Proven experience building back-testing systems , APIs , or automation pipelines Strong understanding of data structures, algorithms, and software engineering best practices Track record of designing scalable, production-grade systems Excellent problem-solving, collaboration, and communication skills Nice to Have Experience with NumPy, Pandas, Cython, or Numba Exposure More ❯

core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery What You'll Bring Solid command of CS fundamentals, algorithms, architecture, systems, likely been a competitive programmer. Advanced experience in Kotlin or Java (Other languages considered C#/F#/C++) Deep familiarity with Linux environments and system-level APIs More ❯

core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery What You'll Bring Solid command of CS fundamentals, algorithms, architecture, systems, likely been a competitive programmer. Advanced experience in Kotlin or Java (Other languages considered C#/F#/C++) Deep familiarity with Linux environments and system-level APIs More ❯

knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science or similar technical discipline What's in it for you: As a Backend More ❯

Proficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.) Strong background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or RAG architectures Experience with graph algorithms, embeddings, or GNNs Cloud & production engineering literacy (AWS/Azure/GCP, containerization, CI/CD) Excellent communication skills — able to explain complex graph/AI concepts to non-technical More ❯

Proficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.) Strong background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or RAG architectures Experience with graph algorithms, embeddings, or GNNs Cloud & production engineering literacy (AWS/Azure/GCP, containerization, CI/CD) Excellent communication skills — able to explain complex graph/AI concepts to non-technical More ❯

and security event correlation. The platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. This Graduate C++ Developer position presents an excellent opportunity to advance your career in a challenging environment More ❯

you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and More ❯

you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and More ❯

and recruitment of top talent. • People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns. • Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions. • Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture More ❯

and recruitment of top talent. • People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns. • Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions. • Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture More ❯

team members. Foster a culture of collaboration, knowledge sharing, and innovation within the team. Data and AI Analysis and Insights: Oversee the design, development, and execution of data models, algorithms, and analytical frameworks. Understand the basics of AI LLMs (Large Language Models) and how they work. Drive data exploration, visualization, and interpretation to extract meaningful insights. Present findings and recommendations More ❯

In-depth understanding of trading workflows across high-touch, low-touch, and algo trading flows. Familiarity with market structure (US, EMEA, APAC) and concepts such as order types, execution algorithms, and smart order routing. Strong grasp of front-to-back trade life cycle, including order creation, execution capture, allocations, trade booking, and regulatory reporting. Knowledge of pre-trade risk controls More ❯

Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based More ❯

Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based More ❯

production environments, ensuring the accuracy and integrity of our threat intelligence. Examples of desirable skills, knowledge, and experience: Thorough understanding of statistical modeling, hypothesis testing, and various machine learning algorithms, including their strengths and weaknesses across different data types. Desire to see a data-driven project through all the way from initial research and experimentation, through model validation, to the More ❯

systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters • Risk Assessment Engine : Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems • Protocol Integration : Implement monitoring for More ❯