1,151 to 1,175 of 1,899 Big Data Jobs

like Lambda functions and associated services) Deploy small units of code in a managed way using Microservices and Kubernetes container orchestration Leading teammates on innovation approaches to solving hard data set engineering issues and cloud configurations. This includes working with the ISSM and various networking professionals to ensure data routing and access meets needs Use of Python and … development experience Familiarity with Linux OS Experience with general web architecture (AWS, etc.) Understanding of how to build and run containerized applications Familiarity with, or a working understanding of big data search tools (Trino, OpenSearch, Elastic, etc.) Ability to multitask, sometimes at a rapid pace, with good attention to details High degree of accountability and personal integrity Ability … Ability to work well both independently and as part of a team Desired Qualifications: API Development PKI infrastructure Customer DNS routing systems Enterprise services surrounding User Authentication and Authorization Data Handling protocols Physical Requirements Ability to work full-time (40 hours/week) at the customer site while sitting at a desk and working on a computer Ability to More ❯

The Sr. Product Manager is part of the Engagement Data Management and Financial Compliance Recording product management team and is responsible for leading the product strategy, product roadmap, and feature requirements. This role will focus on software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for business insights … customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyze this data both in real-time and near real-time. The target user community is across all industries and environments, with an emphasis on customer service operations as well as heavily regulated organizations. Responsibilities Principal … software-as-a-service (SaaS) industry, with a focus on contact center or financial services software solutions Experience within banking, capital markets or other heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. #J-18808-Ljbffr More ❯

a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will work on machine learning models that scale to very large quantities of data and serve high-scale, low-latency recommendations to customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your … grow both technical and non-technical skills. Selected candidates will have the chance to make a difference by designing and building state-of-the-art machine learning systems on big data, leveraging Amazon’s AWS resources, working on challenging projects, and delivering meaningful results worldwide. Key job responsibilities Develop machine learning algorithms for high-scale recommendation problems. Design … tier peer-reviewed conferences or journals. Amazon is an equal opportunities employer. We value diversity and make recruiting decisions based on experience and skills. We prioritize your privacy and data security; please see our Privacy Notice for more details. We are committed to an inclusive culture that empowers Amazonians to deliver the best results. If you need workplace accommodations More ❯

The Sr. Product Manager is part of the Engagement Data Management and Financial Compliance Recording product management team and is responsible for leading the product strategy, product roadmap, and feature requirements. This role will focus on software technology which, at its core, integrates and collects data from digital and voice communication platforms making it available for business insights … customer experience, and risk and compliance use cases. The solution incorporates AI technology, including speech to text, and large language models (LLM) to analyse this data both in real-time and near real-time. The target user community is across all industries and environments, with an emphasis on customer service operations as well as heavily regulated organisations. Some of … software-as-a-service (SaaS) industry, with a focus on contact center or financial services software solutions Experience within banking, capital markets or other heavily regulated industries. Experience managing big data technology product roadmaps Experience with VoIP technology that is used in telephony and unified communication platforms. Experience with AI and the use of LLMs Seniority level Seniority More ❯

reflected in our 93% student satisfaction rating (NSS 2024) The Role You will deliver and support modules in Computing related disciplines some of these are as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing … DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to module specifications Updating and maintaining engaging digital learning content via VLE and MS Teams Supporting student assessment and providing timely, constructive feedback Advising students on academic and pastoral matters, referring where appropriate Participating in moderation, standardisation, and academic quality assurance Contributing to curriculum development More ❯

reflected in our 93% student satisfaction rating (NSS 2024) The Role You will deliver and support modules in Computing related disciplines some of these are as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing … DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to module specifications Updating and maintaining engaging digital learning content via VLE and MS Teams Supporting student assessment and providing timely, constructive feedback Advising students on academic and pastoral matters, referring where appropriate Participating in moderation, standardisation, and academic quality assurance Contributing to curriculum development More ❯

to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering … teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. Want to learn more about our Data Science Team: Learn more about our team culture here: Watch our talk at Amazon Tech Talks: StackAdapt is … a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Design modular and scalable real time data pipelines to handle huge datasets Suggest, implement, and coordinate architectural improvements for big data ML pipelines Understand and implement custom ML algorithms in a low latency environment More ❯

that is backed by the power of SAP. We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence/machine learning, and big data and analytics. And we deliver our solutions quickly by employing an agile development approach. EMEA Business Data Cloud (BDC) Services is a regional team under the … EMEA Services organization. It is chartered to run Services Business of BDC – specifically around Data & Analytics portfolio to build a solid foundation for Business AI. The team is helping customers innovate on Business Data Cloud and accelerate their Cloud journey. The SAP Business Data Cloud (BDC) is the data & analytics platform on BTP for the Intelligent … Enterprise, helping customers to achieve agility, business value, and continual innovation through integration, data to value, and extensibility of all SAP and third-party applications and data assets. SAP offers an opportunity to highly motivated individuals to support the BDC Services Team and work closely with customers in the areas of Business Technology Platform, Analytics, Data Management More ❯

to be more than an advertising platform, it’s a hub of innovation, imagination and creativity. We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering … teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/… Learn more about our team culture here: https://www.stackadapt.com/careers/data-science Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Design modular More ❯

Good understanding of CI/CD pipelines, Git workflows and Agile delivery Strong attention to security, testing and performance Nice to have: Infrastructure as Code (Terraform) Exposure to microservices, big data or IoT Knowledge of GDS or UK Government digital standards Why join? The company is an institution in nuclear and energy sectors Big investment in digital More ❯

last 5 years, a minimum of 3 years experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as hbase, apache accumulo, and/or big table Within the last 3 years, a minimum of 1 year experience with requirements analysis and design for 1 or more object-oriented systems Demonstrated experience developing restful services … cluster monitoring tools e.g. nagios, ganglia Demonstrated experience with apache accumulo internals, to include configuring, tuning, and testing the same in many configurations (>200 node clusters) Demonstrated experience with big-data cloud scalability e.g. Amazon, Google, and/or Facebook Demonstrated experience with docker Identify and run software tools to manage and monitor large compute clusters in an More ❯

to: a shared strategy and execution plan with in-market business leaders, creation and tracking of project plans to ensure accountability, establishment of clear KPIs to measure program success, data analysis, recognizing and advocating for removal of systemic blockers to change, and helping our stakeholders look around corners by consulting on product requirements. BASIC QUALIFICATIONS * Experience in digital advertising … degree or commensurate experience * Excellent oral and written communication skills with ability to establish credibility and influence with technical and non-technical business owners * Quantitative analytical abilities, experience with “big data” and ability to handle changing priorities and use good judgment when working in stressful situations including: (1) Experience in technical writing and documentation, (2) Advanced SQL … of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.) * Applied knowledge of measurement, statistics and program evaluation; and knowledge of data visualization tools (e.g. QuickSight, Tableau) * Curiosity to dig deeply into technical details (e.g. key dependencies) with customers and internal technical stakeholders to solve a technical problem * Demonstrated success in More ❯

to: a shared strategy and execution plan with in-market business leaders, creation and tracking of project plans to ensure accountability, establishment of clear KPIs to measure program success, data analysis, recognizing and advocating for removal of systemic blockers to change, and helping our stakeholders look around corners by consulting on product requirements. BASIC QUALIFICATIONS Experience in digital advertising … degree or commensurate experience Excellent oral and written communication skills with ability to establish credibility and influence with technical and non-technical business owners Quantitative analytical abilities, experience with "big data" and ability to handle changing priorities and use good judgment when working in stressful situations including: (1) Experience in technical writing and documentation, (2) Advanced SQL … of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.) Applied knowledge of measurement, statistics and program evaluation; and knowledge of data visualization tools (e.g. QuickSight, Tableau) Curiosity to dig deeply into technical details (e.g. key dependencies) with customers and internal technical stakeholders to solve a technical problem Demonstrated success in More ❯

enjoy working at the intersection of business and technology, engaging with senior clients, engineers and architects daily? Are you a critical thinker eager to explore emerging technologies like Cloud, Big Data, AI, and Robotics, and how they can be integrated into client landscapes to help achieve strategic goals? Joining the team means being part of a community of … and analyses enable clients to act swiftly and confidently. Your responsibilities as an enterprise architect will include: Assessing the impact of business strategy on enterprise architecture, including organization, applications, data, infrastructure, and operations Staying updated on industry dynamics and trends to identify and recommend necessary changes in enterprise architecture Co-creating a client's Enterprise Architecture vision, strategy, and … actionable roadmaps for complex technology environments using Lean and Agile principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the end-to-end technology landscape including applications, integrations, and data Conducting vendor assessments across technology, vendor, and data platforms Collaborating with business and technology stakeholders to communicate and finalize architectural decisions Providing governance throughout transformation programs to ensure More ❯

a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will work on machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of … technical skills. If you are selected, you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazon's vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities Develop machine learning More ❯

all decisions and responsible for the architecture, design, and development of our products with high quality. The Impact: Be part of an organization-level digital transformation that will lead data digitization, process optimization, and business agility for the end users. You will lead quality assurance efforts on initiatives that are directly aligned with organizational goals and vision. What's … in it for you: Opportunity to work, learn, and grow with the world-leading rating organization. Learn and implement with trending technology such as AI, big data, and cloud. Be part of organization-level digital transformation. Responsibilities: Design and develop automation/performance solutions that meet organizational standards and build reliable, reusable, and maintainable automated regression suites & test … for Web, Services/APIs, Database, UI (Multi-browser) testing requirements. What we are looking for: 3+ years of strong experience in QA/testing. Strong in API Testing, Data Testing, and SQL queries. Strong knowledge in database, API, and software testing concepts. Strong knowledge in coding skills in any programmatic language, preferably Python. Tosca knowledge would be an More ❯

with senior clients, engineers and architects on a daily basis? Are you a critical thinker that is keen to continue exploring the untouched capabilities of technologies such as Cloud, Big Data, AI and Robotics, and how they can be architected into client’s landscapes to help them achieve their strategic goals? Joining the team means becoming part of … and create 360 value for our clients. Your responsibilities as an enterprise architect will include: Assessing the impact of the business strategy on the enterprise architecture, including organisation, applications, data, infrastructure, and operations Staying abreast of industry dynamics and the impact of trends on an organisation, to identify and formulate need for change in enterprise architecture Co-creating a … roadmaps for complex and large technology environments using Lean and Agile enterprise principles Supporting the creation of Enterprise Architecture blueprints, demonstrating the e2e technology landscape including applications, integrations, and data Conducting end-to-end vendor assessments across technology, vendor and or data platforms Working between the business and technology client & 3rd party stakeholders to effectivity formulate communicate and More ❯

in AWS Enterprise Support, you will play a crucial role in fostering our customers' innovate and transformative endeavors across various technologies, including GenAI, AI/ML, Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, instead, it offers you the opportunity to serve as the primary technical … fast-moving environment. - Experience with operational parameters and troubleshooting across two or more of the following technical domains: Web3, GenAI, AI/ML, Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development in a distributed systems environment. - Experience as a technical lead, internally or externally in a customer facing role. - Proficiency in professional oral More ❯

plans and progress while managing stakeholder expectations with a high level of transparency. Define and monitor key performance indicators (KPIs) to assess product success and areas for improvement. Utilise data-driven insights to guide strategic decisions and future product enhancements. What You'll Bring: Proven experience in product management in technology and data products, preferably with experience in … is crucial. Demonstrated success in developing and launching products, particularly digital or software products that require complex stakeholder management. Experience working with high-growth technology products, particularly those involving data analytics and user insights. Excellent communication and presentation skills. Analytical mindset with a strong ability to interpret and utilise data in decision-making. It Would Also Be Great … But Not Essential, If You Had: Experience managing and delivering internal data insights tools. Knowledge of or experience with the latest technologies like AI, machine learning, or big data analytics that could be leveraged to enhance product features and capabilities. A personal passion for gaming, as it brings deeper insight into user behaviour and preferences. Strong understanding More ❯

that is backed by the power of SAP. We make innovation real by using the latest technologies around the Internet of Things, blockchain, artificial intelligence/machine learning, and big data and analytics. And we deliver our solutions quickly by employing an agile development approach. EMEA Business Data Cloud (BDC) Services is a regional team under the … EMEA Services organization. It is chartered to run Services Business of BDC – specifically around Data & Analytics portfolio to build a solid foundation for Business AI. The team is helping customers innovate on Business Data Cloud and accelerate their Cloud journey. The SAP Business Data Cloud (BDC) is the data & analytics platform on BTP for the Intelligent … Enterprise, helping customers to achieve agility, business value, and continual innovation through integration, data to value, and extensibility of all SAP and third-party applications and data assets. SAP offers an opportunity to highly motivated individuals to support the BDC Services Team and work closely with customers in the areas of Business Technology Platform, Analytics, Data Management More ❯

wide variety of high-quality products and solutions. Across 14 technology hubs worldwide, our team of 50,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in Generative AI, electronic payments, cybersecurity, machine learning, and cloud development. The GT Strategy team is an internal strategy consulting … overall business strategy. Job Responsibilities Defining and deconstructing high priority problems for the Global Technology organization Structuring and building quantitative and qualitative/conceptual analyses Analyzing operational and financial data Performing competitor/industry research leveraging both public and non-public sources Working collaboratively with team members across LOBs and staff areas Identifying implications and "so whats" of data … Excellent and efficient skills using MS Excel and PowerPoint tools (absolutely required) Preferred Qualifications, Capabilities, And Skills Undergraduate degree in Economics, Finance, Math, Engineering (or related field) Experience applying data analysis to solve business problems in fast-moving environment Experience with cross-functional collaboration, including influencing stakeholders and working with diverse teams. About Us J.P. Morgan is a global More ❯

Software Development Manager- Finance AI and ML Dev, PXT Finance - ML Forecasting and Core Engineering Amazon Finance Tech team leads innovation to combine data-driven finance with the AI approach driving accuracy, next gen forecasting capabilities, speed, efficiency, and reliability by exploring new techniques in ML and AI and building full stack services in AWS. This AI-First Finance … high pace. Key job responsibilities - Create a vision and roadmap for your team in collaboration with finance partners, experts, and customers. - Lead critical design and arch reviews to modernize data workflows, forecasting solutions, back testing, and user environments. - Evaluate risk, feasibility, alternative solutions and carefully determine course of action with available data. - Effectively communicate with leadership and stakeholders, fostering … day in the life The Software Development Manager with AI/ML experience will manage a two-pizza development team in Bangalore. The team will build innovative AI-driven big data solutions to support and forecast critical Amazon Financial work flows and processes, handling tons of data daily through GenAI-driven NLP queries. This SDM will be More ❯

Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services … to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing. Responsibilities Cloud-Based Data Preparation: Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space. Optimization: Optimize this pipeline for throughput, latency, and … research findings in top-tier conferences and journals; represent Autodesk at industry and research events. Requirements Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics. Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any More ❯

reflected in our 93% student satisfaction rating (NSS 2024) The Role You will deliver and support modules in Computing related disciplines some of these are as follows: Advanced Programming Data Structures and Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing … DevOps Data Analysis and Visualisation InfoSec Key Responsibilities Delivering lectures, seminars, and workshops aligned to module specifications Updating and maintaining engaging digital learning content via VLE and MS Teams Supporting student assessment and providing timely, constructive feedback Advising students on academic and pastoral matters, referring where appropriate Participating in moderation, standardisation, and academic quality assurance Contributing to curriculum development More ❯

leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. The demands for Data Science and Machine Learning are experiencing rapid growth, demanding an enhancement of our Machine Learning Platform's capabilities. To address the increasing traffic and deliver cutting-edge solutions, the … to join and support Viator's growth. This role is a hybrid position based in our London or Oxford office. What you'll do: Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a … many cutting edge technologies around Machine Learning Platform, as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across More ❯