151 to 175 of 606 Data Structures Jobs in the UK

company. The position would be remote, and would require travel for meetings once a monthh. Job Purpose Ensure that all asset and asset-management data across the national client estate is relevant, current and complete so it can be trusted for analysis and decision- making. The coordinator will also … support Asset Information Management, Change Control, Capital & Operational Investment Planning, Forward Maintenance Planning, Asset Strategy Development Support, PPM Integrity & Compliance, CMMS/CAFM data-import UAT, audits and wider process management. The role sits on a clear professional-development roadmap within Asset Management, offering significant opportunities for growth and … progression within a Global Account. Key Responsibilities - Maintain accurate, validated asset-management data sets to agreed standards and timelines. - Act as asset change-control gatekeeper: receive, record, quality-assure and route change data from multiple internal/external stakeholders. - Govern and improve Asset Information Management processes, ensuring rigorous More ❯

products, as well as having ownership and contributing new ideas. In the day-to-day work, you'll be working closely with other engineers, data scientists and product managers to run software at scale under real-world conditions. At Ravelin, we strongly encourage learning and development of new and … cloud automation etc), so this is the perfect opportunity to grow and learn new things! Responsibilities Developing reliable and resilient software Working closely with Data Scientists, Data Engineers and Product Managers Building internal process and tools Building microservices using Go Contributing with ideas and suggestions Requirements Substantial and … demonstrable experience in a programming language(s) Understanding of data structures and algorithms Experience with Database (design principles) Working experience with testing and quality Knowledge of Version control Nice to haves Experience with Golang Knowledge of Cloud technologies (GCP, AWS, or Azure) Agile software development Microservices architecture Containerisation More ❯

Lead Data Analyst - Power BI/Python/Looker/BigQuery/GA4 London (4 days on-site) £600/day (Outside IR35) 3-Month Contract Immediate Start I'm looking for an experienced Freelance Data Analyst to support a leading digital agency on a high-impact, client … thrives in fast-paced, collaborative environments and is confident engaging directly with clients. Tech Stack & Requirements: Power BI (essential for reporting and visualisation) Python (data analysis and automation) Looker BigQuery Google Analytics 4 (GA4) Google Cloud Platform Solid understanding of CRM data structures and behaviours Comfortable working More ❯

and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. The team's core priorities include: Establishing positions data quality, accountability, and lineage. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. Accelerating … the adoption of Cloud and Core Engineering solutions. Support the development of analytic calculations and data transformations. Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits. WHAT WE LOOK FOR This VP role is for a … analytical skills. Ability to work in a fast-paced environment with a strong delivery focus. Experience managing budgets and resources effectively. Strong understanding of data structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. PREFERRED More ❯

and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. The team's core priorities include: Establishing positions data quality, accountability, and lineage. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. Accelerating … the adoption of Cloud and Core Engineering solutions. Support the development of analytic calculations and data transformations. Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits. WHAT WE LOOK FOR This VP role is for a … analytical skills. Ability to work in a fast-paced environment with a strong delivery focus. Experience managing budgets and resources effectively. Strong understanding of data structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. PREFERRED More ❯

and expertise required by multiple CF&O divisions in order to realize efficiencies and uniform solutions. The team's core priorities include: Establishing positions data quality, accountability, and lineage. Developing unified data models across assessment platforms and ensure they meet regulatory and internal Risk & Compliance management requirements. Accelerating … the adoption of Cloud and Core Engineering solutions. Support the development of analytic calculations and data transformations. Provide workflow efficiencies through the systemization and automation of review, sign-off, and commenting processes of financial metrics and the associated limits. WHAT WE LOOK FOR This VP role is for a … analytical skills. Ability to work in a fast-paced environment with a strong delivery focus. Experience managing budgets and resources effectively. Strong understanding of data structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. PREFERRED More ❯

entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support … nimble and adaptive platform for front to back trading systems like order management, exchange connectivity, smart order routing, internalization, clearing and securities lending. Use data to guide decision-making, developing or enhancing tools as necessary to collect it. Understand market rules, regulations, exchange service offerings, front to back business … systems. Proven track record of leading a team and delivering projects with a commercial mindset. Prior experience with Event Sourcing (Kafka, Akka, Spark) and Data Distribution based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong knowledge More ❯

Implement unit tests and ensure the quality and performance of applications. . Benchmark and optimize application performance. . Identify inconsistencies and initiate resolution of data, analytical and reporting problems. . Ensure applications are robust and reliable. . Translate complex data analysis and visualization tasks into clear and user … build, deployment, CI/CD, etc. . Understanding of testing strategies & frameworks (Understanding of BDD/Gherkin) Essential skills/knowledge/experience: R Data structures (vectors, lists, matrices, dataframe)/Data manipulation and cleaning using dplyr/Data manipulation and cleaning using dplyr/Data visualization using ggplot2 (other plotting libraries)/working with different data formats (CSV, Excel, JSON, database)/Jenkins/GitHub/BDD frameworks/Agile ScrumDesirable skills/knowledge/experience. All of our opportunities require that applicants are eligible to work in the specified country/location More ❯

Title: Senior Engineer, Creative Optimizations WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to … transform the value of data by bringing together technology, data, and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators, and problem solvers … platform, that enables brands to power ads (e.g. images, videos, copy) across a range of channels (display, social, online video, connected TV) with dynamic data (e.g. location, weather, events) in real-time, turning a single creative concept into thousands of unique stories. We utilize AI to optimize for the More ❯

with business leaders to align pricing models with strategic objectives. Design and implement advanced models leveraging machine learning, forecasting, optimisation algorithms, and real-time data inputs. Incorporate external and internal data sources (e.g., market trends, customer behaviour, competitor analysis) to drive pricing decisions. Partner with enterprise architecture and … data teams to ensure scalability, transparency, and regulatory compliance. Continuously assess impact through robust KPIs, and refine models to maximise performance. Stay ahead of the curve with emerging AI trends to ensure continued innovation and excellence. 💡 What we’re looking for: MSc/PhD in Mathematics, Statistics, Computer Science … or delivering large-scale pricing, AI or recommendation systems. Deep technical knowledge of ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, GCP, Azure), and big data tools (Spark, Hadoop). Demonstrated success in building business-critical, real-time algorithmic solutions. Strong communication and stakeholder engagement skills – translating complexity into business More ❯

Job Description: Software Engineer - Market Data Feed Handlers Real-time market data is at the core of Bloomberg's business, and we are responsible for the software that provides it. Our feed handlers consume data from hundreds of exchanges and financial institutions worldwide, translating it into normalized … streams. The data we provide flows into applications across Bloomberg and is ultimately used by clients to drive financial markets. Performance and reliability are key features of our software, and our mission is to deliver the best quality financial data globally. What's in it for you: As … our team, you will immediately begin delivering impactful software. You will collaborate with business units, development teams, and global stock exchanges on high-volume data projects. You will work on various business initiatives and strategic improvements to our infrastructure, focusing currently on enhancing the quality and resiliency of our More ❯

We are working with a global financial institution to recruit a Business Data Analyst to join their project execution team. This role is crucial for ensuring timely execution of Price Risk deliverables, leveraging expertise in business analysis, project execution, and delivery, with a focus on trade population control and … data quality. Key Responsibilities Drive execution of the Price Risk Data regulatory book of work. Enhance controls for trade population completeness and CDE data quality. Perform control gap assessments and implement enhancements. Address data quality issues with robust controls. Lead/participate in working groups with … risks and issues. Produce project updates for various forums. Essential Criteria At least 7+ years' experience as a Business Analyst in trade and CDE data controls. Strong understanding of data structures and financial products. Experience in designing and monitoring key controls in a trading environment. Proficiency with More ❯

We are working with a global financial institution to recruit a Business Data Analyst to join their project execution team. This role is crucial for ensuring timely execution of Price Risk deliverables, leveraging expertise in business analysis, project execution, and delivery, with a focus on trade population control and … data quality. Key Responsibilities Drive execution of the Price Risk Data regulatory book of work. Enhance controls for trade population completeness and CDE data quality. Perform control gap assessments and implement enhancements. Address data quality issues with robust controls. Lead/participate in working groups with … risks and issues. Produce project updates for various forums. Essential Criteria At least 7+ years' experience as a Business Analyst in trade and CDE data controls. Strong understanding of data structures and financial products. Experience in designing and monitoring key controls in a trading environment. Proficiency with More ❯

Job Description Responsibilities: Lead and mentor a team of data scientists. Manage project timelines, resources, and staffing. Design and implement machine learning models and algorithms ensuring their robustness, scalability, and performance. Develop and manage the strategic direction of machine learning projects, aligning initiatives with broader business goals and translating … business challenges into actionable data science projects. Facilitate team collaboration and cross-departmental communication, convey complex data insights to non-technical stakeholders, and represent the data science team in executive decision-making processes. Stay updated with the latest developments in machine learning, artificial intelligence, and related technologies. … numpy/pandas/sklearn/keras, etc.); ability to optimize and speed up code. Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing and ETL processes. Know how to deploy models to production: Flask/FastAPI, Linux, Docker, GitLab CI/CD, GCP. Understanding algorithms & data More ❯

Experience in building models for business applications - Able to communicate highly complex concepts to a business audience. - Hands-on experience leading large-scale big data and analytics projects. - Experience applying theoretical models in an applied environment. - Experience diving into data to discover hidden patterns and conducting error/… deviation analysis. - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately … based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal More ❯

building models for business applications. Able to communicate highly complex concepts to a business audience. PREFERRED QUALIFICATIONS Hands-on experience leading large-scale big data and analytics projects. Experience applying theoretical models in an applied environment. Experience diving into data to discover hidden patterns and conducting error/… deviation analysis. Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Amazon is an equal opportunities employer. We believe passionately … based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal More ❯

stakeholders, and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and applied science methodologies. Key job responsibilities As An Applied Scientist … technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams. Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience. Lead end-to-end Machine Learning projects that … Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production. Run A/B experiments, gather data, and perform statistical analysis to validate your models. Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving. More ❯

Data Scientist, AWS Generative AI Innovation Center Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data scientists … and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. We're looking for Data Scientists capable of using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. … experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Emirati national is required. Key job responsibilities As a Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. About the job Snowflake Metadata team builds a scalable metadata system that allows Snowflake to query across petabyte-scale data efficiently. The team develops distributed and multi-layered caches, transaction frameworks, declarative entity management, time travel … and other core Snowflake services. It is also responsible for providing the foundation of global features like cross-region replication, data sharing, and data marketplace. AS A PRINCIPAL SOFTWARE ENGINEER - METADATA, YOU WILL: Solve real business needs at large scale by applying your software engineering and analytical problem … IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE: 14+ years industry experience designing, building and supporting large scale systems in production. Strong computer science fundamentals including data structures, algorithms, and distributed systems. Sharp original thinking to make the right choices and guide teams. Systems programming skills including multi-threading, concurrency More ❯

we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of … Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. We are looking for a Senior Sales Engineer to join our team in London. In this role, you will get hands-on experience applying the … latest big data technologies to business use cases with companies whose names you hear and products you use every day. Our ideal candidate is comfortable learning new technologies while being able to explain their work to both technical and non-technical stakeholders. You will be operating as a Senior More ❯

Spark, S3, ReactJS, Sybase IQ among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through … statistical analyses to identify trends and exceptions related Market Risk metrics. • Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. • Utilize web development technologies to facilitate application development for front end … distributed HDFS systems. • Interact with business users for resolving issues with applications. • Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems. • Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations. More ❯

Spark, S3, ReactJS, Sybase IQ among many others). A glimpse of the interesting problems that we engineer solutions for, include acquiring high quality data, storing it, performing risk computations in limited amount of time using distributed computing, and making data available to enable actionable risk insights through … analyses to identify trends and exceptions related to Market Risk metrics. Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL, and data visualization tools, such as Tableau. Utilize web development technologies to facilitate application development for front end … distributed HDFS systems. Interact with business users for resolving issues with applications. Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems. Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations. More ❯

decisions are aligned on and ratified Further building and reinforcing the feedback loop between foundry partners and our foundry platform through analysis of support data as well as feedback on planned platform features and updates through active user acceptance testing Creation and implementation of user documentation and training content … Collaborating with our Global Data team to build requirements for necessary data sets to inform continuously improved methods, support for our Go to Market teams, and or Foundries and Foundry Platform Preparing new vendors and their inventory for onboarding to our platform & facilitating the import of large libraries … developing new processes to improve efficiency Closely collaborate with Engineering, Product, and Go-to-Market teams to help answer questions about fonts and font data, providing insights into and fixing issues with the data Identify, document and escalate as necessary any issues related to inventory Provide support to More ❯

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 … 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 More ❯

behavioural biometric interactions and powerful AI to create unique user profiles for seamless security. We are looking for candidates with expertise in sensor-based data , large behaviour data , or behavioural biometrics. Ideal applicants will have experience analysing and interpreting complex behavioural data to drive insights and innovation. … they are looking for an AI Engineer to join the team The Role: As an AI/ML Engineer, you’ll transform complex behavioural data into responsive, intelligent, and scalable systems that think and adapt in real time. Architect and deploy machine learning models from idea to production. Build … Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time series data An entrepreneurial mindset—curious, autonomous, and passionate More ❯