151 to 175 of 1,861 Big Data Jobs in the UK

Metyis is growing! We are looking for a Data Science Principal with +8 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. … project management oversight required to meet client expectations. Responsibilities may include overall project delivery quality, development of presentations, and managing of external relationships. Function as a sounding board for data and analytics related questions of client business leadership. Seek compelling opportunities beyond the scope of the current project. Provide guidance to more junior members of the team, while orchestrating … of consulting experience or relevant industry experience, with at least 3+ years at a project lead level. Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences). Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure More ❯

projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. The Role: We are looking for an experienced Senior Data Scientist to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. … You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data engineers, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our strongest asset, you will be an excellent team player who recognises the strength … working skills Self motivated, enthusiastic and committed The ideal candidates will share our values and be aligned with our ways of working Requirements Key Responsibilities: Lead end-to-end data science projects, from ideation and data exploration to model development and deployment. Build and optimise machine learning models for prediction, classification, recommendation, or segmentation. Collaborate with data More ❯

their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time … analytics, and business intelligence. Our portfolio includes Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model, and a unified architecture. The Azure Data Services group is seeking an experienced Senior More ❯

Social network you want to login/join with: We are seeking a highly motivated and experienced engineer to join the Data Engineering team within Man Platform Technology. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. We don’t just have a standard data warehouse – our data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving: Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets … at multi-terabyte-scale. Collaborating with the Man Data Science team as we design and develop unique, bespoke solutions to solve their big data challenges. Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use at Man Group. Working with front office engineering teams as they leverage More ❯

Senior Data Scientist Job Description: At Warner Music Group, we're a global collective of music makers and music lovers, tech innovators and inspired entrepreneurs, game-changing creatives and passionate team members. Here, we turn dreams into stardom and audiences into fans. We are guided by three core values that underpin everything we do across all our diverse businesses … Consider a career at WMG and get the best of both worlds - an innovative global music company that retains the creative spirit of a nimble independent. Job Title: Senior Data Scientist A little bit about our team: The Data & Insight team work with the Frontline & Catalogue labels, Commercial & Finance teams on: track/artist performance and strategy, partner … role: You are a music lover who understands this unconventional industry; driven and innovative, you think out of the box and are always looking for new techniques to explore data and deliver impactful insight. You will not only execute complex analyses but also lead data science work streams, guide junior team members, and help shape our data More ❯

Head of Data & Analytics Architecture and AI page is loaded Head of Data & Analytics Architecture and AI Apply locations Chiswick Park time type Full time posted on Posted 30+ Days Ago job requisition id JR19765 Want to help us bring happiness to the world? Want to join an ambitious and fast growing global biscuits and confectionery business investing … pladis offers global ambition, a clear Vision and roadmap for success, challenge, and unrivalled opportunities to learn and make an impact Click "Apply" to get started. The Head of Data & Analytics Architecture and AI mission has three facets. 1) To own the D&A Architecture ensuring alignment with business objectives and the technology transformation agenda for D&A to … provide enabling Digital services such as Data as a Service via APIs and Insights as a Service 2) To own and deliver the technology capability for Data, Analytics and AI (D&A). Working closely with the Squads on a daily basis, the Lead Engineer will help the squads deliver maximum outputs for each sprint ensuring each sprint More ❯

Company Description At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of … experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Our mission is to help organisations unlock the full potential of their data, enabling strategic decision-making and transformative business growth. We are known for our deep technical expertise, collaborative approach, and commitment to innovation. … Simply put – we turn big data problems into smart data solutions . Job Description We are seeking a highly skilled and motivated Databricks Lead to spearhead our Databricks practice. This is a leadership role responsible for driving the growth, innovation, and successful delivery of cloud-based data solutions for our clients leveraging Databricks. The Practice Lead More ❯

Join to apply for the Software Engineer role at Altrata . Overview The Data Software Engineer will develop and maintain ETL solutions using SQL Server, .NET, and Databricks. The role involves designing clean, decoupled solutions in collaboration with architects, creating automated tests for continuous delivery, and engaging in peer code reviews. The candidate will work closely with Business Analysts … QA Engineers, and Data Scientists to deliver high-quality software, with active involvement in DevOps processes. Responsibilities Design, develop, and maintain data pipelines and ETL processes. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and troubleshoot SQL queries and C#/.NET applications. Implement data integration solutions using various ETL tools. … Adhere to development standards and participate in continuous improvement efforts. Work with big data technologies such as PySpark and Databricks. Contribute to the delivery of data supporting new products and features. Participate in agile practices, including estimation, planning, and retrospectives. Ensure coding standards, CI/CD, and test coverage are met. Contribute to a positive company culture. More ❯

have the capabilities to learn, 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 the quality and relevance of data for AI model training. Model Training and Evaluation … laws is a plus. Preferred 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. What We Offer: • Opportunity to work with a leading company • An opportunity to be part of impactful projects that shape the future More ❯

and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions to … modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams to build and enhance detection and mitigation systems based on frameworks like MITRE ATT&CK. · Develop and maintain data pipelines, APIs, dashboards, and visualization tools to support AI model insights. · Write clean, well-documented, and secure code using Python, C C#, or R. · Leverage libraries such as TensorFlow … and deploying AI services in cloud-native environments. · Familiarity with containerization (Docker, Kubernetes) and DevOps pipelines. · Exposure to security operations center (SOC) tools and SIEM platforms. · Experience working with big data platforms such as Spark, Hadoop, or Elastic Stack. #J-18808-Ljbffr More ❯

an office in Central London and work as a mix from office and home. The role We are looking for a senior Machine Learning Engineer with a spike in data engineering and maintaining real-time data pipelines. You will work with our Product & Engineering team along the end-to-end algorithm lifecycle to advance the Trudenty Trust Network. … A bit more on what you'll do: Data Engineering Develop and maintain real-time data pipelines for processing large-scale data Ensure data quality and integrity in all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement … algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to More ❯

rewarding for everyone. Get to Know our Team: The Marketing Innovations Team at Agoda identifies & develops new marketing channels that have high growth potential. This department is highly creative, data-driven and focused on developing at-scale marketing programs that ensure Agoda's leadership in the new & emerging channels. The team is a blend of the best analysts, marketing … strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Marketing Innovations Team also fosters a great learning environment. You will be able to learn and grow by working … strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel More ❯

of your career and guide a team to success at one of the world's leading financial institutions. As a Lead Software Engineer at JPMorgan Chase within the Client Data Exchange Team, you are hands-on and lead a team and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres … design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding … methods Proficient in all aspects of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data More ❯

growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world … challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop … and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration More ❯

and to help clients realize the objectives they desire. BlackRock manages ~$10+ trillion in assets on behalf of investors worldwide. As such, there is a rich problem space for data scientists and engineers across all areas of the business including investments, sales, marketing, operations, product, UX, etc. and the potential to have large scale impact. In 2018 BlackRock accelerated … innovation and technology again with additional investment in artificial intelligence and data science and all the potential they represent. The AI Labs was formed to act as a central hub with a firm-wide remit to solve strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization. … with a history of demonstrating machine learning at BlackRock to create alpha, the goal was to apply these same techniques throughout the business. The team has grown to 75+ data scientists and engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization More ❯

Job description The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have … the right data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge … platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top More ❯

Amazon Retail Financial Intelligence Systems is seeking a seasoned and talented Senior Data Engineer to join the Fortune Platform team. Fortune is a fast growing team with a mandate to build tools to automate profit-and-loss forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You should be passionate about working with big data and are able to learn new technologies rapidly and evaluate them critically. You should have … programming languages such as Java, C++, Spark/Scala, Python, etc. Major Responsibilities: - Work with a team of product and program managers, engineering leaders, and business leaders to build data architectures and platforms to support business - Design, develop, and operate high-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms - Recognize and More ❯

using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Within ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA's success, creating … enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair … and efficient hiring and rapidly evolve with the needs of the business. Key job responsibilities Develop and maintain end to end scalable data infrastructure and data pipelines Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data. Empower the team for self-servicing by providing the necessary skills to More ❯

Artificial Intelligence Engineer/Data Scientist £50k - £90k dependant on experience bonus good bens. Flexible Working Location opportunity. This role may suit individuals who have previously held roles such as Data Engineer, Data Architect, Big Data Consultant, Data Scientist, Data Modeller, Big Data Analyst, or AI Engineer. We are assisting in … recruiting AI Engineers/Data Scientists to join an innovative and growing team within the data practice of a prestigious global technology consulting firm. The client offers excellent career growth, professional development, and a personalized benefits package. Candidates must ideally have UK security clearance and be fully flexible regarding working location. The successful candidate will be a key … team member designing modern analytical data solutions, engaging in the full project lifecycle. The role offers a diverse range of exciting work. Key Skills We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data More ❯

Job Overview We are looking for a skilled Database Designer/Senior Data Engineer to join our data engineering team. This role involves the development and maintenance of data solutions in the cloud environment. The ideal candidate will have a strong background in data processing and a solid understanding of cloud data services. Requirements Key … Responsibilities Design and implement modern data platforms in cloud such as AWS or Azure. Develop data pipelines and data streaming processes. Ensure data solutions are scalable, reliable, and efficient. Collaborate with data analysts and other stakeholders to meet data requirements. Optimize data storage and processing for performance and cost. Maintain data security … and compliance standards. Minimum Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Minimum 3 years of experience as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/ More ❯

Lead Data Scientist (Equity Only) - 1% Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and provide insights. Collaborate with cross-functional teams to develop data-driven solutions that support business growth. Responsibilities: Work with teams to understand data needs and analytics goals. Use AWS tools … like Amazon Redshift, Athena, EMR, and QuickSight for data analysis. Create data pipelines and ETL processes for data integration. Apply statistical and machine learning techniques for analysis and modeling. Develop KPIs and dashboards to aid decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance in AWS. … Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Knowledge of data modeling, ETL, data warehousing. Skills in statistical analysis, machine learning, Python/R/Scala. Experience with SQL, NoSQL, and data More ❯

Job Overview We are looking for a skilled Database Designer/Senior Data Engineer to join our data engineering team. This role involves the development and maintenance of data solutions in the cloud environment. The ideal candidate will have a strong background in data processing and a solid understanding of cloud data services. Requirements Key … Responsibilities Design and implement modern data platforms in cloud such as AWS or Azure. Develop data pipelines and data streaming processes. Ensure data solutions are scalable, reliable, and efficient. Collaborate with data analysts and other stakeholders to meet data requirements. Optimize data storage and processing for performance and cost. Maintain data security … and compliance standards. Minimum Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Minimum 3 years of experience as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/ More ❯

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable … Place To Work. This prestigious award is based entirely on what current employees say about their experience working at Circana. Job description: We are seeking a skilled and motivated Data Engineer to join a growing team Global Team based in the UK. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and … infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a desire to make a significant impact, we encourage you to apply! Job Responsibilities Data More ❯

Metyis is growing! We are looking for a Data Engineering Associate with 3-4 years of experience to join our Data and Analytics team in London. Who we are Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory … yourself. We are Metyis. Partners for Impact. What we offer Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change. Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization. Become part of a fast-growing international and diverse team. What … solve concrete business challenges in a range of domains. Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations. Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services More ❯

Data Engineer Position Description We are seeking a dynamic and versatile Data Engineer with expertise in modern data platforms, technologies, and a strong command of Microsoft or AWS data tooling and products. This role focuses on designing, building, and optimising end-to-end data solutions that drive actionable insights and business innovation. The ideal candidate … will have a deep understanding of data architecture, cloud platforms, and modern data engineering practices. This position offers the option of remote working but will require some occasional travel to client sites or to CGI offices. All applicants must hold or be eligible for National Security Vetting (NSV) Security Check (SC) level. Your future duties and responsibilities As … a Data Engineer you will be responsible for designing, implementing, and optimising data solutions that meet client needs while ensuring scalability, security and efficiency. You will also collaborate closely with business units to translate their requirements into actionable insights and lead initiatives for continuous improvement. Responsibilities will include: Design and implement scalable ETL pipelines for data ingestion More ❯