76 to 100 of 230 Data Structures Jobs in London

Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules. GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being … and delivering 10x improvements by supporting them in their day-to-day tasks. As a Sr. Machine Learning Engineer, you will need to: Develop a state of the art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms More ❯

the areas of information Extraction, Efficient crawling at internet scale. You should have depth and breadth of knowledge in text mining, information extraction from Visually Rich Documents, semi structured data (HTML) and machine learning. You should also have programming and design skills to manipulate Semi-Structured and unstructured data and systems that work at internet scale. You will … requirements for precision and recall) - Speed (generate predictions for millions of new or changed pages with low latency) - Diversity (models need to work across different languages, market places and data sources) You will help us to - Build a scalable system which can algorithmically extract information information from world wide web - Intelligently cluster web pages, segment and classify regions , extract … relevant information and structure the data available on semi-structured web pages - Build systems that will use existing Knowledge Base to perform open information extraction at scale from visually rich documents. Key job responsibilities - Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems - Efficiently Crawl web, Automate extraction of relevant information from More ❯

a talented and experienced Python Developer to join our dynamic team in London . You will play a critical role in developing and optimizing backend systems, working with modern data technologies, and contributing to high-performance and AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on … system architecture, design, and implementation Work with Databricks or Microsoft Fabric to manage big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI/CD pipelines Apply MLOps practices using tools like MLFlow , Git-based versioning, and environment tracking Build and integrate AI … and intelligent automation frameworks Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous programming Experience with Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows More ❯

applications . While this is not a people-management role, mentoring engineers and fostering a high-performing engineering culture is a key part of the job. Strong understanding of data engineering, backend systems, and distributed architectures , particularly within banking, payments, and financial transactions . Experience with Kafka, CI/CD, and containerization (Docker, Kubernetes) is highly valued. Background in … integrating complex banking systems , ensuring seamless data flow and compliance with industry standards. Key Skills: Strong Computer Science Foundations: Deep knowledge of algorithms, data structures, system architecture , and their application in banking technology . Experience working across financial systems, transaction processing, and secure banking APIs , with expertise in backend, data, and cloud infrastructure. Ability to design More ❯

utilizing distributed technologies such as Unix, Java, J2EE Java framework etc. Experience in the development of service-oriented architecture application, good understanding of Object-Oriented Design, Design Patterns and data structure algorithms. Strong knowledge of Java Server Pages (JSP), DHTML and JavaScript Proven technology architecture skills delivery high performance and high transaction volume distributed application Experience with MVC patterned More ❯

observability, robust testing quality practice and maintaining clean CI/CD pipelines. Preferred Qualifications: Experience working in React JS, with applications providing order/trade/real time market data or similar data structures and feeds. Exposure to microservices systems and container/cloud deployment and hosting designs. Experience leveraging LLMs assistant tools rationally for coding. Additional More ❯

Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As an Applied Scientist, you will join a team dedicated to optimizing our delivery network, ensuring customers receive their packages reliably and efficiently. We are seeking … drive impactful projects, implement advanced scheduling solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of last-mile delivery. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities … comfort with ambiguity. This role offers the opportunity to make a significant impact on one of the world's most sophisticated logistics networks while working with pioneering technology and data science applications. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we … directly impacts thousands of businesses' ability to grow and succeed. We operate as a fully autonomous unit, bringing together specialists in back-end and front-end development, product management, data science, and analytics. This diversity of expertise allows us to tackle challenges from every angle, move fast, and deliver solutions that truly work for our customers. The role We … user journeys, drive customer satisfaction and business outcomes. Analytics leadership: Lead experiments to test new product concepts, iterating based on customer feedback and performance data. Build custom tools and data pipelines to investigate complex topics and enable the wider team to monitor the performance of products post-launch, using insights to inform future improvements. Combine quantitative data and More ❯

years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Experience in More ❯

software engineering from a recognized institute. At least 5 years of non-internship professional software development experience. Strong conceptual and practical foundation of core Computer Science concepts including Algorithms, Data Structures, Operating Systems, and Object-Oriented Programming. Excellent verbal and written communication skills in English. Ability to learn and adapt quickly to maximize productivity. Self-motivated person with More ❯

Manager, and working closely with content experts, you will be responsible for understanding customer needs, defining product requirements, and working closely with cross-functional teams to deliver high-quality data products and APIs. Your technical expertise and customer-centric approach will be critical in ensuring the success and satisfaction of their customers. Requirements: Experience working with APIs, including RESTful … APIs, and familiarity with API security measures like OAuth, API keys, and encryption. Knowledge of data structures, databases, and data migration techniques. An excellent understanding of how content needs to be structured, coded, held and managed to flexibly deliver tools, services and data for integration in both human-readable and machine-readable outputs. Experience in integrating More ❯

Manager, and working closely with content experts, you will be responsible for understanding customer needs, defining product requirements, and working closely with cross-functional teams to deliver high-quality data products and APIs. Your technical expertise and customer-centric approach will be critical in ensuring the success and satisfaction of their customers. Requirements: Experience working with APIs, including RESTful … APIs, and familiarity with API security measures like OAuth, API keys, and encryption. Knowledge of data structures, databases, and data migration techniques. An excellent understanding of how content needs to be structured, coded, held and managed to flexibly deliver tools, services and data for integration in both human-readable and machine-readable outputs. Experience in integrating More ❯

Manager, and working closely with content experts, you will be responsible for understanding customer needs, defining product requirements, and working closely with cross-functional teams to deliver high-quality data products and APIs. Your technical expertise and customer-centric approach will be critical in ensuring the success and satisfaction of their customers. Requirements: Experience working with APIs, including RESTful … APIs, and familiarity with API security measures like OAuth, API keys, and encryption. Knowledge of data structures, databases, and data migration techniques. An excellent understanding of how content needs to be structured, coded, held and managed to flexibly deliver tools, services and data for integration in both human-readable and machine-readable outputs. Experience in integrating More ❯

and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in More ❯

Anduril is changing how military systems are designed, built and sold. Andurils family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision … and deployment. Design and develop robust and efficient C Rust software for multi-sensor, multi-target tracking & estimation problems. MLOPS - build and maintain automated, scalable infrastructure to manage our data and run our experiments. Design experiments, data collection efforts, and curate training/evaluation sets to develop insights both for internal Anduril purposes as well as customers. Drive … the flight testing and test configuration for evaluating the implemented features against real data on target hardware. REQUIRED QUALIFICATIONS Solid coding, algorithms, data structures and software engineering fundamentals. BS in Robotics, Computer Science, Mechatronics, Mathematics, Mechanical Engineering, or related field. Strong DNN/ML background and experience in standard domain libraries (numpy, opencv, pytorch, etc). Strong More ❯

business audiences and working globally Basic Qualifications 1+ years of professional Java Development experience Bachelor's degree in Computer Science, Electrical Engineering or related technical discipline Excellent understanding of data structures, algorithms, and designing for performance Familiarity with automated testing, DevOps and Continuous Deployment Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Strong … communication skills Preferred Qualifications Experience in NoSQL data stores, e.g. Cassandra or MongoDB Experience in modern message oriented middleware, e.g. Kafka or RabbitMQ Experience in building and debugging distributed systems Experience in developing software for Akka or Vertx ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities More ❯

Hedge Fund - Senior C++ Quant Developer - Equities - Linux - Python - Data/Algos/Low latency Hedge Fund background essential C++ (Version 11 upwards), Linux, Python (nice to have). Trading systems experience - ideally experience working in the equities space. Ideally the technical has experience with algo implementation. Quantitative Developer - Equities Technology We are in search of a Quantitative Developer … execution performance. Enhance the platform's efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency. Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability. Assist in building and maintaining our automated tests, performance benchmark framework, and other tools Collaborate closely with trading teams … a fast-paced environment Qualifications 5+ years of professional experience in a Front Office, financial services environment as a senior contributor 10+ years cumulative, professional experience Strong background in data structures, algorithms, and object-oriented programming in C++ Permanent role - Central London based - 5 days a week in the office By applying to this job you are sending More ❯

CREDIT RISK CONSULTANT UP TO £80,000 LONDON This role is a core role within the client analytics function of this consultancy. You will use bureau data to assist client queries and modelling assignments. You will engage heavily with internal stakeholders and external clients to support and drive revenue for the business. THE COMPANY This company is a global … data, analytics, and technology consultancy. They play a key role in the global economy by helping financial institutions, companies, governmental agencies, and employers make better informed decisions. THE ROLE You will be doing the following daily: Actively engage with clients, building partnerships with their risk and analytics teams, and gaining in-depth knowledge of relevant industries, client business models … challenges, and opportunities. Craft persuasive proposals to secure new analytics and consultancy projects. Manage the delivery of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data More ❯

CREDIT RISK CONSULTANT UP TO £80,000 LONDON This role is a core role within the client analytics function of this consultancy. You will use bureau data to assist client queries and modelling assignments. You will engage heavily with internal stakeholders and external clients to support and drive revenue for the business. THE COMPANY This company is a global … data, analytics, and technology consultancy. They play a key role in the global economy by helping financial institutions, companies, governmental agencies, and employers make better informed decisions. THE ROLE You will be doing the following daily: Actively engage with clients, building partnerships with their risk and analytics teams, and gaining in-depth knowledge of relevant industries, client business models … challenges, and opportunities. Craft persuasive proposals to secure new analytics and consultancy projects. Manage the delivery of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data More ❯

CREDIT RISK CONSULTANT UP TO £80,000 LONDON, This role is a core role within the client analytics function of this consultancy. You will use bureau data to assist client queries and modelling assignments. You will engage heavily with internal stakeholders and external clients to support and drive revenue for the business. THE COMPANY This company is a global … data, analytics, and technology consultancy. They play a key role in the global economy by helping financial institutions, companies, governmental agencies, and employers make better informed decisions. THE ROLE You will be doing the following daily: Actively engage with clients, building partnerships with their risk and analytics teams, and gaining in-depth knowledge of relevant industries, client business models … challenges, and opportunities. Craft persuasive proposals to secure new analytics and consultancy projects. Manage the delivery of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data More ❯

including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience … programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience in state-of-the-art deep learning models architecture design and deep More ❯

and latency. Our engineers are analytical thinkers and have a strong understanding of computer science fundamentals and software engineering. You will be exposed to multiple financial markets and market structures, have the opportunity work on scaling a real-time system with a global footprint, applying modern software engineering principles. Requirements 5+ years experience with backend systems (all fields considered … Promote a culture of strong collaboration, share best practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM More ❯

platforms, Docker and Kubernetes. Familiarity with More than one of: C#, Java, Python, and C++ Databases such as: MSSQL, Postgres, Redis Kafka/RabbitMQ or similar event-based platforms Data structures and design/analysis of algorithms Not required, but a bonus Fixed Income products and Interest Rate derivatives (including Risk, PnL attribution, scenario analysis, etc.) Possesses the … Strong attention to detail, with a track record of leading and driving projects to completion. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . More ❯

and maintaining Workday reports & dashboards to support People Operations across the business. As a member of the People Team, your expertise in Workday reporting tools and deep understanding of data will be crucial in providing valuable insights to stakeholders as part of our ongoing optimisation of our Workday Platform. This is an excellent opportunity to bring your technical knowledge … Reporting Development & Optimisation: Design, build, and maintain reports and dashboards within Workday, including Advanced, Matrix, Composite, and Discovery Boards. Optimise existing reports to improve efficiency and user experience. Ensure data accuracy and consistency across all reporting solutions. Business Analysis & Data Interpretation: Work cross-functionally to understand reporting needs and translate business requirements into Workday output. Provide insights and … analysis to support decision-making. Identify trends and anomalies within data. Testing & Validation: Perform rigorous testing of new and modified reports to ensure data integrity. Troubleshoot reporting issues and work with stakeholders to resolve discrepancies. Support the People Team with testing and deployment plans. Data Governance & Compliance: Ensure all reports comply with internal policies and external regulatory requirements. More ❯

Senior Software Engineer (Golang) -London Senior Software Engineer - Golang - London/Home office The company: Through the power of AI and Big Data this company have developed a number of data driven tools and platforms aimed at delivering a transparent financial solution. Focusing purely on sustainable investment! If you want the leave the planet clean and beautiful for … the next generation then you share the ethos of this company. This group has 4 arms: A Data Provider: Assessing the performance and sustainability of companies worldwide. AI: An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data … candidate: Extensive experience in Software Engineering Experience with Go and/or Python make you the ideal candidate. Java also interesting You have a deep understanding of system design, data structures, and algorithms. Comfortable in cloud environments Test coverage is as important as the code itself Not scared of DevOps Interested in the latest tech innovations in your More ❯