351 to 375 of 859 Data Structures Jobs in England

world. Quick to learn and curious about all things. Understand performance verification and optimization tools. CS Fundamentals: Strong understanding of object-oriented programming, data structures, and algorithmic complexity. Scripting & Data: Competence in Python, Perl, Shell scripting and SQL for data analysis, prototyping, and integrating AI models. ...

41711207168Posted: 2026-09-29Location: London, England, United KingdomCategory: Data, BI & AnalyticsCompany: Munich ReTogether, we engage with everything we have and are, to help humankind act braver and better. About Great Lakes Insurance SE:As specialty provider of primary insurance services in the UK, Great Lakes London Branch ("GLLB … analysis to inform business-critical decisions, ensuring that all stakeholders are well-equipped to make informed choices. Conduct in-depth analysis of claims data to identify underperformance, trends, concerns, and themes, providing actionable insights to drive business improvement. Develop and implement effective reporting strategies, ensuring that all reports meet ...

teams to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and employees. A singular technology platform powered by data, machine learning, and AI provides secure, differentiated, and personalised experiences that build loyalty and traveler satisfaction. The Content AI team develops machine learning capabilities … will: Develop, evaluate, and improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model ...

will work at the boundary of quantitative research, low-latency engineering, and ML infrastructure, creating reliable platforms that shorten the path from raw market data and research prototypes to monitored, resilient production strategies. We are seeking strong talent to build the research and production technology behind AI-driven systematic … systems, and reproducible workflows—without losing sight of trading realities like latency, determinism, and operational risk. Job Responsibilities Design and build high-performance market-data, feature-computation, backtesting, simulation, model-serving, execution, and monitoring components for systematic trading. Develop reliable low-latency C++ services and APIs that integrate quantitative ...

code and maintain algorithms that integrate seamlessly with our systems. Your role includes producing architecture and design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities: Deliver … Produce architecture and design artifacts for complex applications, ensuring design constraints are met Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture Contribute to software engineering communities ...

Elsevier is seeking a Solution Architect to lead the design of an enterprise Snowflake-based data platform that supports AI-enabled insights and compliant, scalable data services. The role partners with engineering, data and business stakeholders to build secure, governed architectures and to drive cloud-first data integration strategies. You will shape data structures, real-time ingestion and API-led workflows, enabling GenAI use cases while aligning with governance standards across the #J-18808-Ljbffr ...

directly with Key Account customers to understand integration requirements and guide successful implementationProvide expert guidance on API architecture, endpoints, authentication mechanisms, request/response structures, error handling, and best practicesSupport pre‐sales conversations where API capability is critical to the commercial propositionTroubleshoot integration issues and collaborate with engineering … Quality & GovernanceManage the product backlog and set sprint priorities aligned to strategic objectivesWrite detailed user stories and acceptance criteria covering API behaviour, endpoint specifications, data validation rules, and error scenariosDefine API requirements including endpoints, payload structures (JSON/XML), authentication, and business rulesWork closely with engineering to translate ...

Operations Manager to understand the existing tool stack, ensure automations integrate reliably with it, and drive adoption of new AI‐powered capabilities. Ensure data quality and governance: Design automations that handle marketing data responsibly — with attention to data quality, privacy, and auditability across all deployed workflows. Document … Agent SDK, OpenAI Assistants) or a demonstrated ability and appetite to ramp quickly. Be experienced integrating with third‐party APIs and working with marketing data structures (e.g., Salesforce, HubSpot, GA, Marketo). Have strong analytical skills and experience building performance dashboards and reporting for deployed automations. ...

shaping Affinity Water’s long-term investment strategy. In this role, you’ll help develop and maintain our asset investment modelling capability, ensuring asset data, deterioration models and cost assumptions are translated into robust, auditable investment plans for PR29 and beyond. Working closely with Asset Health, Cost Intelligence, Investment … capital maintenance modelling tool for PR29. Maintain system configuration, specifications and documentation in line with governance requirements. Integrate and validate asset, cost and performance data to support accurate asset deterioration modelling and investment planning. Support deterioration modelling, scenario analysis, forecasting, sensitivities and optimisation. Analyse model outputs and translate complex ...

Requirements: 4+ years of professional experience as a full‐stack developer, preferably in the financial industry or proprietary trading. Strong proficiency in Python for data processing, backend logic, and model integration. Solid DevOps experience: Docker, CI/CD pipelines (e.g. GitHub Actions, GitLab CI, Jenkins), Linux administration, and monitoring … evaluation. Proficiency in SQL and a solid understanding of relational databases (e.g. PostgreSQL, MySQL) and/or NoSQL stores (e.g. Redis). Understanding of data structures, APIs, and real‐time data processing. Familiarity with real‐time data visualization. Exposure to quantitative models or working with quants ...

Requirements: 4+ years of professional experience as a full‐stack developer, preferably in the financial industry or proprietary trading. Strong proficiency in Python for data processing, backend logic, and model integration. Solid DevOps experience: Docker, CI/CD pipelines (e.g. GitHub Actions, GitLab CI, Jenkins), Linux administration, and monitoring … . Proficiency in SQL and a solid understanding of relational databases (e.g. PostgreSQL, MySQL) and/or NoSQL stores (e.g. Redis). Understanding of data structures, APIs, and real‐time data processing. Familiarity with real‐time data visualization. Exposure to quantitative models or working with quants ...

deliverable technical scope with an assessment of effort and feasibility. Own governance and set-up end to end, including AI risk assessment, information security, data loss prevention, change advisory board, environments and licensing, taking products all the way through to live release. Manage senior stakeholders, including demonstrating, defending … within the team. Lead and participate in code reviews, providing constructive feedback to peers. Required Skills and Qualifications Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent experience gained through several years in a relevant role. Proven experience as an AI developer ...

deliverable technical scope with an assessment of effort and feasibility. Own governance and set‐up end to end, including AI risk assessment, information security, data loss prevention, change advisory board, environments and licensing, taking products all the way through to live release. Manage senior stakeholders, including demonstrating, defending … within the team. Lead and participate in code reviews, providing constructive feedback to peers. Required Skills and Qualifications Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent experience gained through several years in a relevant role. Proven experience as an AI developer ...

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world’s most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats … neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don’t just defend systems; we deliver decision dominance. Our Purpose Protect what matters most by enabling organizations ...

biggest challenges in developing the measurement science needed to test, evaluate, and assure the quality and trustworthiness of AI systems to join the Data Science & AI department. As a Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research, build our capability … provide impact to our clients through project delivery. The work conducted within the Data science & AI department responds nationalchallenges in areas of prosperity (e.g. advanced manufacturing), security andresilience, environment, and health. Our AI Programme contributes to the UKgovernment commitment to support the AI assurance ecosystem to increase trustand adoption ...

/Machine Learning models and algorithms that address specific industrial problems within the Digital Industries portfolio, such as predictive maintenance modules, autonomous systems data preparation, quality control applications, and digital twin initiativesLearn and apply state-of-the-art AI techniques and tools to real-world datasets and challenges under … your AI Development/Research LeaderWrite clean, efficient, and well-documented code in relevant programming languages (primarily Python, C++) to implement AI algorithms, data pipelines, and software componentsAssist with data collection, cleaning, pre-processing, and feature engineering to prepare datasets for model training and evaluationSupport the testing, validation ...

service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage … compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate ...

indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems. … identify high-impact opportunities for automation and decision support Qualifications Desired Qualifications: 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including ...

throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters. Your work will span exchange-data ingestion, HPC orchestration, simulation, and research tooling. Trading experience is not required; we provide comprehensive onboarding. Key responsibilitiesDesign, build, and maintain high-performance, scalable software … data systems used by quant researchers and trading teams. Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale. Orchestrate and improve reliability of data and compute pipelines on HPC clusters. Create ad-hoc computation frameworks and research tooling that let researchers ...

financial planning, and help detect and mitigate regulatory and reputational risk. Our teams work with modern engineering frameworks, large-scale structured and unstructured data, responsive front-end applications, and big data technologies. The firm is also making a significant investment to uplift and rebuild core applications on cloud … driving resolution. Preferred Qualifications Experience with automated testing, software development lifecycle concepts, and developing applications in a Linux environment. Strong understanding of algorithms, data structures, software design, and distributed systems fundamentals. Experience with observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana ...

financial planning, and help detect and mitigate regulatory and reputational risk. Our teams work with modern engineering frameworks, large-scale structured and unstructured data, responsive front-end applications, and big data technologies. The firm is also making a significant investment to uplift and rebuild core applications on cloud … driving resolution. Preferred Qualifications Experience with automated testing, software development lifecycle concepts, and developing applications in a Linux environment. Strong understanding of algorithms, data structures, software design, and distributed systems fundamentals. Experience with observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana ...

reusable libraries within a complex enterprise environment. Experience with Microsoft Azure services and cloud-based application development. Strong experience with relational databases and data management technologies, particularly SQL. Deep understanding of software architecture, system design, data structures, and algorithms. Desirable Experience Experience of developing front-end applications … Experience working with data warehouse and analytical platforms Personal Attributes Proven technical experience within a complex technology environment. Demonstrates strong ownership and accountability for outcomes. Comfortable operating under pressure and managing competing priorities. Strong commercial awareness and decision‐making capability. Excellent collaboration and relationship‐building skills, with a track ...

Software Engineering Intern (2027 Start) - London London, United Kingdom P-1601 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running … world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across ...

throughput-critical ingestion and simulation, Python with C++ bindings for research tooling, and distributed computing on HPC clusters. Your work will span exchange-data ingestion, HPC orchestration, simulation, and research tooling. Trading experience is not required; we provide comprehensive onboarding. Key responsibilities Design, build, and maintain high-performance, scalable … software and data systems used by quant researchers and trading teams. Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale. Orchestrate and improve reliability of data and compute pipelines on HPC clusters. Create ad-hoc computation frameworks and research tooling that ...

coverage; participate in code review; maintain clear documentation and commit messages. Learn the platform and systems architecture : Actively invest in understanding how Aquis' market data, order matching, and trading workflows operate; build mental models of system behaviour so you can spot anomalies. Apply computer science fundamentals : Use your understanding … algorithms, data structures, networking, and systems design to break down complex problems. Escalate appropriately and ask for guidance : Work independently but recognize when issues need senior involvement; leverage your team's expertise. Skills and Experience Essential 4+ years professional C++ development experience (C++11 or later), in any domain ...