after an experienced Java/Kotlin engineer on a contract basis (outside IR35) who wants to solve hard technical problems, with experience in building data-intensive, high-throughput systems. This is a small, high-impact team working on a central data store supporting mission-critical platforms at a … global scale. What you'll do: Design and build highly concurrent, data-intensive systems. Work on distributed architectures, optimising for low latency and high throughput. Leverage bigdata technologies like Redis, distributed caches, and modern data stores (e.g., Couchbase, Cassandra). Solve challenging engineering problems at … scale, ensuring reliability and performance under heavy load. What you'll need: Strong Kotlin or Java experience (Kotlin preferred). Background in data architectures and large-scale systems. Experience with relational databases (Oracle a plus, but not essential). Knowledge of distributed systems and scalable data architectures. Banking More ❯
reason and make decisions autonomously. Key Responsibilities: AI Systems Architecture: Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval. Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms … and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation. Collaborate with data scientists and engineers to ensure … Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such as Hadoop or Spark. More ❯
reason and make decisions autonomously. Key Responsibilities: AI Systems Architecture: Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval. Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms … and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation. Collaborate with data scientists and engineers to ensure … Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such as Hadoop or Spark. More ❯
after an experienced Java/Kotlin engineer on a contract basis (outside IR35) who wants to solve hard technical problems, with experience in building data-intensive, high-throughput systems. This is a small, high-impact team working on a central data store supporting mission-critical platforms at a … global scale. What you'll do: Design and build highly concurrent, data-intensive systems. Work on distributed architectures, optimising for low latency and high throughput. Leverage bigdata technologies like Redis, distributed caches, and modern data stores (e.g., Couchbase, Cassandra). Solve challenging engineering problems at … scale, ensuring reliability and performance under heavy load. What you'll need: Strong Kotlin or Java experience (Kotlin preferred). Background in data architectures and large-scale systems. Experience with relational databases (Oracle a plus, but not essential). Knowledge of distributed systems and scalable data architectures. Banking More ❯
reason and make decisions autonomously. Key Responsibilities: AI Systems Architecture: Design and develop the architecture and infrastructure for Gen AI systems, including mechanisms for data storage, processing, and retrieval. Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms … and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data sources and design methods for data collection, integration, cleansing, and transformation. Collaborate with data scientists and engineers to ensure … Skills: Knowledge of NVIDIA CUDA, cuDNN, TensorRT and Experience with NVIDIA GPU hardware and software stack Understanding of HPC and AI workloads. Familiarity with BigData platforms and technologies, such as Hadoop or Spark. More ❯
after an experienced Java/Kotlin engineer on a contract basis (outside IR35) who wants to solve hard technical problems, with experience in building data-intensive, high-throughput systems. This is a small, high-impact team working on a central data store supporting mission-critical platforms at a … global scale. What you'll do: Design and build highly concurrent, data-intensive systems. Work on distributed architectures, optimising for low latency and high throughput. Leverage bigdata technologies like Redis, distributed caches, and modern data stores (e.g., Couchbase, Cassandra). Solve challenging engineering problems at … scale, ensuring reliability and performance under heavy load. What you'll need: Strong Kotlin or Java experience (Kotlin preferred). Background in data architectures and large-scale systems. Experience with relational databases (Oracle a plus, but not essential). Knowledge of distributed systems and scalable data architectures. Banking More ❯
You will need to login before you can apply for a job. View more categories View less categories Sector Data Science Role Manager Contract Type Permanent Hours Full Time dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern … data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data … use your personal information please see our Privacy Notice which can be found (here) Company Most companies merely meet expectations. dunnhumby defies them, using bigdata, deep expertise and AI driven platforms to decode human behaviour and habits. We thrive on the unknown, applying emerging technology to innovative More ❯
Cloud and Data Center, Networking, Webex (Collaboration) Job Id: Role Overview: As a Senior Network Software Engineer, you will collaborate with cross-functional teams, business partners, and stakeholders to design, provision, configure, operate, and maintain physical and virtual network hardware and software. Your expertise will be crucial in anticipating … protocols and architectures (ISIS, BGP, BMP, ARP, SNMP, CDP/LLDP) and network engineering, management, and operations. Experience with search and analytics engines/bigdata tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including More ❯
administration, maintenance, and development of transaction event monitoring systems. Provide risk management services to cross-functional teams. Support Investigations and Fraud Detection Teams with data analysis and reporting. Research evolving fraud detection technologies and promote knowledge sharing. Adjust and review risk system rules to manage fraud risk levels in … compliance with Visa, MasterCard, or third-party providers. Create data extracts and perform detailed pattern analysis to estimate impacts. What we're looking for: University degree in Mathematics, Statistics, Economics, or a similar field. 3+ years experience in risk and fraud, AML, or compliance in payments, gaming, gambling, or … crypto industries. Proficiency in MS Office, data manipulation, visualization tools (e.g., Tableau). Experience with Python, SQL Server, bigdata technologies. Knowledge of antifraud solutions, risk systems, device fingerprinting, CRM, and case management tools. Understanding of machine learning model validation and deployment. Advantages include: Knowledge of card More ❯
peak demand increases. This role is based out of the London corporate office (LHR35, near LHR16). The ideal candidate is passionate about leveraging data to deliver actionable insights that impact daily business, has a strong delivery record and has experience in driving execution in a cross-functional environment … backed by well defined analysis and research. They thrive in a fast-paced environment, relish working with data, and enjoy the challenge of solving complex and ambiguous problems. As a Planning Manager in the Capacity Planning Team, you will be working on the weekly cadence for the generation of … unknown and strive for continuous improvement in key areas of our business. A successful candidate enjoys problem solving, is comfortable accessing and working with bigdata from multiple sources, and is enthusiastic about partnering with other teams across the business to deliver results. You should have an internal More ❯
Crime Investigations Expert specializing in detecting and preventing illegal financial activities such as money laundering, fraud, and corruption. Your role involves analyzing complex financial data and transaction patterns related to our Ecash/Digital Wallets solutions, identifying suspicious activities, conducting investigations, and preparing detailed reports. What Paysafe stands for … related to Ecash/Digital Wallets , analyzing suspicious transactions and customer behavior Identify risks and organized crime indicators through transaction pattern analysis, focusing on bigdata Maintain FC KPIs within risk appetite and oversee daily reviews of financial activities Build and sustain relationships with partners, banks, and merchants … Collaborate with internal teams such as account management, risk, data science, analytics, and compliance Ensure timely reporting of suspicious activities to regulators like FCA, CBI, and Italian FIU Support automation and improve processes in financial crime detection Monitor emerging fraud trends and regulatory changes Engage with various business channels More ❯
learning, load shedding and traffic management (LSTM), convolutional networks). Experience in architecting and developing software or infrastructure for scalable, distributed systems. Experience in data and information management as it relates to bigdata trends and issues within businesses. Ability to learn quickly, understand, and work with More ❯
About Us Finquest is the premier bigdata and AI company focused on identifying and connecting Private Equity and Corporate clients to relevant off-market acquisition and investment opportunities. As a leading FinTech company specialising in deal sourcing, our mission is to close gaps, fuel innovation and accelerate … working environment. Key Responsibilities Utilising internal tools, databases and external applications to structure profiled company searches in a timely manner Qualifying, sorting and organising data enabling ease of use and to facilitate decision-making Assessing the validity of data/information sourced in conjunction with client requirements Undertaking … becoming a subject matter expert on project outcomes and market insight to provide the client with added color and context Transforming, improving, and integrating data depending on the business requirements Identifying optimisation improvements across workflows, processes, systems, or content/data issues and proposing solutions to solve and More ❯
across all aspects of the automation pyramid, from the device level to the enterprise level. The more complex systems are leveraging Machine Learning and BigData to drive predictive actions, preventing downtime or defects in the material handling equipment and improving the Overall Equipment Effectiveness of the installations. … 4.0 solutions based in AWS services. About the team The Maintenance Automation Platform (MAP) Team plays a critical role in ensuring that machine-generated data leads to automated, appropriate, and effective proactive and/or predictive maintenance actions. Our objective is to mature and integrate core software tools into … of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 2+ years of systems development in an IT or data center environment experience - 2+ years of systems design, software development, operations, automation, and process improvement experience - Experience building tools for building, testing, releasing or More ❯
handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our … premises and cloud environments. As the first line of defense this team has ownership of operations engineering. Collaborating closely with IT, SRE, Network, and Data engineering teams, and key stakeholders across business, product, and software engineering teams. We play a crucial role in maintaining systems health, responding to incidents … KVM, Kubernetes. Experience with tools like Ansible, Terraform, Docker, Kafka, Nexus Experience with observability platforms: InfluxDB, Prometheus, ELK, Jaeger, Grafana, Nagios, Zabbix Familiarity with BigData tools: Hadoop, HDFS, Spark, HBase Ability to write code in Go, Python, Bash, or Perl for automation. Work Experience 5-7+ More ❯
categories View less categories Sector Sales and Business Development Role Executive Contract Type Permanent Hours Full Time dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to … for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe … categories they operate in and their relationship with Tesco. You'll use this information to build robust and value add propositions to monetise our data and insight. Working with you customer success colleagues, you'll network deep within your client's business, Understanding and building relationships with stakeholders and More ❯
before contract expiration. Lead your assigned territory to consistently exceed quarterly and annual booking targets. Regularly report on progress to key stakeholders with clear, data-driven insights. Collaborate with sales and cross-functional teams to identify at-risk customers and develop targeted churn mitigation strategies. Cultivate a high-performance … a proven track record of achieving high on-time renewal rates. Excellent operational, deal formulation, and negotiation skills. Capable of telling compelling stories with data and motivating stakeholders to act. Experience partnering with senior leaders to distill complex data into clear, actionable insights. Ability to manage escalations to … successful outcomes for both customers and the company. Solid understanding of enterprise IT, BigData, and the financial drivers of business success across industries. Passion for leveraging data and AI to transform industries. Why Join Us? This is an opportunity to work with some of the most More ❯
e makes selling internationally as simple as selling domestically. Through our comprehensive end-to-end solutions that combine the best-in-class localization capabilities, big-data business intelligence models and streamlined international logistics, we enable retailers and brands to increase international sales and achieve significant global online growth. … always looking for more driven, talented and ambitious individuals to join our growing international team. We are looking for a Business Analyst to drive data-backed growth initiatives across the business. This role is critical in analysing and understanding key performance metrics, uncovering actionable insights, and supporting business decision … making at scale. This role will be instrumental in identifying growth opportunities, building compelling business cases, and supporting our Customer Success Managers with data-driven insights. The ideal candidate will partner closely with EMEA leadership to streamline operations, enhance reporting, and support data-driven decision-making. You'll More ❯
Do you want to help solve the world's toughest problems with bigdata and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing … Databricks consumption. This is a team of account executives that are passionate about building a data ecosystem for UKI, technically knowledgeable and have a strong desire to drive value for our CPG customers. You will oversee the CPG senior sales team, implementing sales plans, expanding existing business and delivering … we look for: Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers within the Data, AI, Cloud, or SaaS Sales Industry. Experience within the consumer packaged goods vertical. History of exceeding sales quotas in similar high-growth technology companies. More ❯
continue the strong double digit growth Culture leader with experience in developing and managing growing sales organisations and building teams of successful and passionate bigdata, Cloud, or SaaS sales professionals Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing … consistently overachieve quota through accountability and cross leadership partnering Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the … Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. More ❯
into new geographies, innovations in supply chain, unique delivery models for products ranging from Amazon Fresh groceries to ultra-fast Prime Now deliveries of big-screen TVs, increasingly complex transportation networks, and a growing number of shipments worldwide, we see a brand new opportunity to fundamentally change the way … people get the stuff they need, and make a big impact by cutting billions of dollars of transportation costs from the ecosystem. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim … to leverage cutting-edge technologies in bigdata, machine learning, optimization techniques, and operate high volume, low latency, and high availability services. Key job responsibilities Deliver results by owning business performance through effective product management for RSS suite of products. Develop long-term demand and cost forecasts in More ❯
function. Though we have developed in the trade surveillance arena, we have always been more than that. At heart, we are a finance-focused bigdata firm. Our goal is to continue creating the world's leading financial markets analytics platform. The Role We are seeking a Customer … Operations team in London. They are responsible for managing customer support queries, onboarding customers onto our suite of market-leading products and analysing trade data to ensure system requirements are met. By leveraging their product expertise, they also work closely with customers to deliver training on our tools. This … some of the largest financial institutions in the world. It will suit those with a genuine interest in financial markets and an appreciation of data analysis. Responsibilities: Assist in the onboarding and support process of our cutting-edge software platforms, working cross-functionally to ensure customers have a smooth More ❯
team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, bigdata, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning … field - 5+ years of applied research experience post PhD, building and launching deep learning/machine learning models for business applications - Strong CS foundations (data structures and algorithms) - Excellent coding and design skills, proficiency with programming languages such as Java or Python - Several publications at top-tier peer-reviewed More ❯
reference architectures, for a variety of use cases. e.g. High Performance Computing (HPC), Artificial Intelligence, Machine Learning, Serverless and Container based architectures, Analytics and BigData, DevOps or Security. You will have the support to grow your expertise in industry and technology areas of depth. Practical knowledge of … roadmaps that guide IT transformations toward cloud computing Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications PREFERRED QUALIFICATIONS Knowledge of distributed systems … 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 ❯
offers a set of cloud services that enable all companies, from startups to enterprises, to run virtually everything in the cloud, including mobile applications, bigdata analytics, AI/ML platforms, and microservices/serverless infrastructures. Amazon Internet Services Private Limited (AISPL), the reseller for cloud services in More ❯
