76 to 100 of 315 Data Structures Jobs in London

help shape the scientific direction using state of the art LLM based solutions for a product with global impact. Key job responsibilities Understand backend data structures, pipelines and data warehouse architecture. Own entire data ecosystem and be the SME for all the different datasets, existing dashboards … LLMs) Metric generation/standardization and logic building Cross functional collaboration with product, Science and program teams on various pain points and solve using data based insights. Collaborate internally and work on ML related problems Conduct Research based experiments and publish papers. Work on automation solutions using any scripting … language. Generate insights for various complex business problems using customized scalable solutions. BASIC QUALIFICATIONS - 3+ years of business analyst, data analyst or similar role experience - Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience defining requirements and using data and metrics to draw business insights - Experience More ❯

will be instrumental in the design, development and ongoing production support of these platforms. Your core responsibilities will include: Designing and engineering the products, data structures and interconnects that the business develop. Production support of the product and its infrastructure including Azure, data feeds, live monitoring and … issue remediation. Limited out-of-hours support may be necessary. Integration with exchanges, L1/L2 chains, financial intermediaries, data feeds, data repositories. Analysis of market requirements and formulation of project plans. What You'll Need Strong experience with the Java Spring framework A solid understanding of cryptocurrencies More ❯

will be instrumental in the design, development and ongoing production support of these platforms. Your core responsibilities will include: Designing and engineering the products, data structures and interconnects that the business develop. Production support of the product and its infrastructure including Azure, data feeds, live monitoring and … issue remediation. Limited out-of-hours support may be necessary. Integration with exchanges, L1/L2 chains, financial intermediaries, data feeds, data repositories. Analysis of market requirements and formulation of project plans. What You'll Need Strong experience with the Java Spring framework A solid understanding of cryptocurrencies 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 ❯

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 ❯

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 ❯

join the Tools and Machine Learning (Tamale) team. As part of InTech, Tamale aims to solve complex catalog quality problems using machine learning and data analysis solutions. You will work with big data, machine learning technologies, and Amazon's catalog technology stack to improve customer experience by addressing … Key Responsibilities Collaborate with business partners to identify opportunities for innovation. Apply machine learning solutions to automate manual processes, scale systems, and improve catalog data quality. Work with business leaders, scientists, and product managers to translate requirements into scalable services. Contribute to a team of 5 scientists and … engineers solving data quality issues at scale. Influence the scientific roadmap and set standards for scientific excellence. Work with state-of-the-art models, including image-to-text, LLMs, and GenAI. Your work will impact millions of Amazon customers in Europe and beyond. This role offers opportunities for growth 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 ❯

uncertainty, and wear different hats. Responsibilities Develop ML functionality at the core of our platform. Train and evaluate models for intelligent document processing, web data parsing, classification, search, and matching. Implement production-level code to seamlessly integrate models into the main application. Influence and shape the data science … culture within the organization. Continuously enhance data science practices and processes to align with industry best standards. Qualifications Effective and self-driven builder Bachelor's or Master's degree in Computer Science or a related field 5+ years of experience in machine learning and/or data science … named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain More ❯

uncertainty, and wear different hats. Responsibilities Develop ML functionality at the core of our platform. Train and evaluate models for intelligent document processing, web data parsing, classification, search, and matching. Implement production-level code to seamlessly integrate models into the main application. Influence and shape the data science … culture within the organization. Continuously enhance data science practices and processes to align with industry best standards. Qualifications Effective and self-driven builder Bachelor's or Master's degree in Computer Science or a related field 5+ years of experience in machine learning and/or data science … named entity recognition, intelligent document processing, website parsing & classification, sentiment analysis, information retrieval, entity matching & linking, spelling correction Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Experience training & fine-tuning Transformers or Large Language Models (Huggingface Transformers, OpenAI, Llama 2, Langchain 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 Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 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, engineers, 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 … 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 ❯

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 ❯

We are looking to recruit a skilled Data Architect at Associate level to enhance and optimise the efficiency and organization of multiple company datasets. In this role, you will work alongside a supportive team to improve cloud orchestration and CI/CD processes. You will provide expert guidance on … enhance cloud orchestration solutions Improve CI/CD processes for seamless integration and deployment Design and maintain database models for optimal performance Document architecture, data structures, and processes Oversee ETL (Extract, Transform, Load) processes for efficient data integration Write clean, efficient, and reusable code with clear documentation … Required Experience: Strong expertise in Microsoft SQL or T-SQL for data querying Experience with Databricks, Azure, and DevOps Background in data warehousing and development Hands-on experience with database modeling, documentation, and ETL processes 7+ years experience in the above spaces Preferred Experience (Desirable but not essential More ❯

a vision to be more than an advertising platform, it's a hub of innovation, imagination, and creativity. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers … result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this … algorithms, to improvements on state-of-the-art methods, to development using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on More ❯

a fast-paced environment. The ideal candidate will be detail-oriented, proficient in SQL (Python is a plus), and motivated to deliver insightful, timely data-driven insights. Strong analytical, communication skills, and the ability to simplify complex processes are essential. The candidate should also be capable of working effectively … with cross-functional teams. Key Responsibilities Own the production and delivery of analytics reports and dashboards used for key business decisions. Build data structures, transformation processes, and load jobs in Redshift; process and present data in Excel. Debug report issues and unblock workflows. Communicate with the Product … team and stakeholders to provide status updates. Publish automated dashboards and create reports by extracting, transforming, and loading data into optimized tables. Basic Qualifications Bachelor's degree in mathematics, engineering, statistics, computer science, or a related field. At least 1 year of experience in business analysis involving large, complex 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 ❯

What is PORT and PORT Enterprise, and where does the Data Validation Services (DVS) team fit in? Bloomberg Portfolio Analytics (PORT) empowers the biggest players in the financial world to manage their portfolios, assess exposures, and make decisions that move the markets. Our flagship product on the Bloomberg Terminal … A degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience. An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving. Experience building full-stack, enterprise applications, ideally using Python/React. More ❯

Are you a senior data engineer, ideally with an actuarial background, seeking your next high-impact role within a major insurance group? Then this key position has your name written all over it! In this exciting and unique opportunity, you will lead a team in delivering the successful transformation … of the data analytics environment to support the delivery of Underwriting strategy. You will also take a key lead in the introduction and embedding of a Cloud computing environment for Underwriting. In addition, you will act as technical leader for the development and delivery of a new Underwriting Datamart … actuarial qualification is not essential, you would need to possess insurance experience. Excellent analytical skills are a must, including the ability to understand complex data structures, organize and structure data extracts. A fantastic opportunity to drive change within a major global insurer. More ❯

Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to … productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional … 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 developing and implementing deep learning algorithms More ❯

customers, and helps Amazon continuously innovate on behalf of all customers. Key job responsibilities As a Machine Learning Applied Scientist, you will: Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities Develop scalable and effective machine-learning models and optimization strategies to … solve business problems Run regular A/B experiments, gather data, and perform statistical analysis Work closely with software engineers to deliver end-to-end solutions into production Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving Conduct research on new … 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 More ❯

maintain robust, scalable, and low-latency backend systems using Java, ensuring the platform can handle high transaction volumes Design and implement efficient algorithms and data structures to handle large-scale data processing, ensuring low-latency access to market data, transactions, and real-time updates. Fine-tune More ❯

maintain robust, scalable, and low-latency backend systems using Java, ensuring the platform can handle high transaction volumes Design and implement efficient algorithms and data structures to handle large-scale data processing, ensuring low-latency access to market data, transactions, and real-time updates. Fine-tune More ❯

related field. Knowledge of programming languages such as C/C++, Python, Java or Perl. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Proficiency in coding and software development, with a strong … focus on machine learning frameworks. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. PREFERRED QUALIFICATIONS 3+ years of building machine learning … models or developing algorithms for business application experience. Have publications at top-tier peer-reviewed conferences or journals. Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong More ❯