176 to 200 of 1,862 Big Data Jobs in the UK

Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, Gloucester col-narrow-left Client: Location: Gloucester, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Lead Data Scientist - Equity-Only role 1% About Luupli Luupli is … development' that aims to provide opportunities for diverse creators from marginalized communities. It will highlight their work and offer access to social media opportunities. Job Description: As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will work with data engineers, product managers, and stakeholders to develop … data-driven solutions and recommendations. Your AWS expertise will shape our data strategy and support business growth. Responsibilities: Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data More ❯

be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from ADLIB Recruitment | B Corp Lead Senior Data Recruiter at ADLIB - B Corp Certified - Ambassador at MotherBoard Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a … science and software. What you’ll be doing: Following a successful product launch and securing Series A funding, they’re scaling fast and now looking for their very first Data Engineer. You’ll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform. You’ll be leading on … the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for More ❯

ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on! The Team We're Intuita - a fast-growing consultancy that's making waves in both the consultancy and technology space. With our ambitious goals for … spanning a variety of industries, which may include telecoms, insurance, healthcare, finance and mortgages across various sectors. The Role We are seeking a skilled Analytics Engineer to join our Data Engineering team, ideally as a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind, immediate or quick availability is … alongside permanent rights to work are essential, alongside other factors we'll consider. This is a hands-on Analytics Engineering role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud Platform (GCP). Your More ❯

sets thefoundation for delivering our full suite of capabilities. Job Description Employment Type: Full-Time Location: UK 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 More ❯

asset-class commodity systems with an emphasis on automation, optimization, and innovation. Role Overview This is a great opportunity to join the front office technology team as a Senior Data Engineer. This role will be based in either Geneva or London and the candidate will be expected to work onsite in the office. This role offers a unique opportunity … for an experienced data engineer to leverage their strong software development and data engineering principles. You will help define and enforce our strategic data strategy across the organisation; in order to do this, you will be working closely with multiple development teams across the organisation to understand their pain points and propose robust solutions. As a senior … in the team, you will be conducting multiple proof of concepts using different technical solutions to help us choose the right products we need for different parts of our data landscape. Key Responsibilities Design and enforce a robust and scalable enterprise data architecture. Review and optimise data models and data warehousing systems. Design, implement, and maintain More ❯

Social network you want to login/join with: Description About the role Are you a Principal Data Engineer with a passion for big data? Do you keep up to date with cutting-edge technologies within D&A? If so, then you have a fantastic opportunity to join a multi-disciplinary team of engineers, architects, designers, and … strategists as we continue to grow our Data & Analytics practice across Europe. We're looking for a Principal Data Engineer with Azure, Databricks, and PySpark to join our team in London. The ideal candidate will have a strong background in data engineering, extensive experience with Azure cloud services, and experience leading a technical team on implementations. Responsibilities … Lead, mentor, and manage a team of Azure data engineers Drive the team's technical execution Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to ensure a quality single version of the truth Build end-to-end pipelines to support enterprise-wide analytics Design, develop, and implement scalable and secure data lake solutions More ❯

agents organise visits for our policymakers across the UK so they can hear the views of businesses and communities first-hand. Key Responsibilities: Line management of an Analyst in Data Science and three Senior Research Assistants. Work with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency … Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence working alongside Advanced Analytics. Work collaboratively with Agents to implement new analytical tools, including scoping … and leading projects. Work collaboratively with the PAs and other support staff in the Network to implement improvements to the data management, technology and other systems and processes they use. Provide technical leadership and mentorship to an Analyst Data Scientist and 3 Senior RA's. Collaborate with business stakeholders in the Agency Network and Monetary Analysis more widely More ❯

The team you'll be working with: We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will have a strong background in the full data modeling lifecycle, including designing, implementing, and maintaining complex data models that align with organizational goals and industry standards. This role requires a deep … understanding of data architecture, data modeling methodologies, and experience with real-time data integrations. The successful candidate will collaborate with cross-functional teams to ensure optimal data structures supporting business intelligence, analytics, and operational needs. This role involves creating, assuring, and overseeing the implementation of data models within analytical and real-time streaming domains. What … you'll be doing: Develop conceptual, logical, and physical data models to support data analytics, streaming, and data product implementation. Define and maintain data architecture standards, principles, and best practices. Ensure data models are aligned with business requirements and scalable for future needs. Work closely with business stakeholders, data engineers, data solution architects More ❯

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and … APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. Scope: Akkodis is launching a new technical delivery team to drive a UK national program in collaboration with key partners, designed to transform … candidate-centric experience tailored to meet tomorrow’s public sector skill demands. This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span across architecture, project management, data analytics, development, and More ❯

Direct message the job poster from Osmii Associate Director at Osmii, part of the HW Group Databricks Architect (Contract) - Greenfield Data Platform Location: Hybrid working (London) Duration: 12-month initial contract Are you a visionary Databricks Architect with a passion for building cutting-edge data platforms from the ground up? Do you thrive on shaping strategy and driving … technical excellence in a greenfield environment? Our client is embarking on a pivotal journey to establish a brand-new, enterprise-grade data platform using the full power of Databricks. This is a unique opportunity to lead the architectural design and implementation of a truly greenfield data ecosystem that will underpin all future data-driven initiatives, from advanced … architect who can translate business needs into robust, scalable, and secure Databricks solutions. The Role: As our Databricks Architect, you will be instrumental in defining and delivering our new data strategy and architecture. This is a greenfield project, meaning you'll have the exciting challenge of building the entire Databricks Lakehouse Platform from scratch. You will provide critical technical More ❯

Social network you want to login/join with: We are on the lookout for a Data Engineer to join a dynamic, forward-thinking company. You’ll will work in various settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. The ultimate goal is … to make data accessible so that stakeholders can use it to evaluate and optimise their performance. What you’ll be responsible for: Support designing, developing, implementing, managing and supporting enterprise-level ELT/ELT processes and environment Technical and business processes are used to combine data from multiple sources to provide a unified, single view of the data. … Be an architect making strategic decisions. Partly responsible for accessing, validating, and querying data from various repositories using available tools. Build and maintain data integration processes using SQL Services and other ETL/ELT processes and scripting tools as well as ongoing requests and projects related to the data warehouse, MI, or fast-moving financial data. Designing More ❯

With over 85% of the world’s trade transported by sea, we have a huge opportunity to transform existing manual, offline, and disparate processes into a tech-enabled and data-rich experience, enabling better decision-making and fewer costly, time-consuming mistakes. Our premier platform, Sea, is the world’s first digital shipping platform that provides cloud-based applications … fixture space. These connect to create efficiencies and digitize workflows. To understand more about us, please visit https://www.sea.live . The Role We are seeking a Senior Data Scientist to enhance financial sustainability and market intelligence within the maritime industry. This new role will directly support our mission of " Powering Better Decisions to Enable Sustainable Shipping " by … you will focus on analysing market dynamics, developing predictive models, and embedding insights into our trading platform. By combining deep knowledge of dry and wet commercial shipping markets with data science expertise, you will help optimize freight decisions in the pre- and at-fixture spaces, delivering measurable improvements to user profitability and driving the evolution of our platform. Drive More ❯

objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. What We do/The Team The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Full Stack Data Scientist/Data Engineer. The FX Data Analytics & Gen … AI Technology team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX. The successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount … of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: The job you're considering The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the … home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP. Hybrid working: The places that you work from day to day will vary … or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for strong AWS Data Engineers who are passionate about Cloud technology. Your work will be to: Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring More ❯

Join to apply for the Senior Data Architect IRC265727 role at GlobalLogic 4 days ago Be among the first 25 applicants Join to apply for the Senior Data Architect IRC265727 role at GlobalLogic Get AI-powered advice on this job and more exclusive features. Description As a Data Solutions Architect you’ll work closely with key stakeholders … to map out their data/insights requirements and develop roadmaps and design architecture which you’ll communicate effectively to the project teams, implementation teams and end-users – leading top quality solutions design and delivery. Description As a Data Solutions Architect you’ll work closely with key stakeholders to map out their data/insights requirements and … one or more of the following architectural frameworks (TOGAF, ZACHMAN, FEAF) Cloud Experience: AWS or GCP preferred, particularly around migrations and cloud architecture Good technical knowledge and understanding of bigdata frameworks like Hadoop, Cloudera etc. Deep technical knowledge of database development, design and migration Experience of deployment in cloud using Terraform or CloudFormation Automation or Scripting experience using languages such More ❯

Join to apply for the Lead Data Engineer role at Motability Operations Ltd 4 days ago Be among the first 25 applicants Join to apply for the Lead Data Engineer role at Motability Operations Ltd Continuing Defleet’s data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking … for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem … of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. About You We are looking for a skilled Lead Data Engineer who: Personal Attributes Self-starter with initiative and enthusiasm More ❯

Description Ciklum is looking for a Principal Data & AI Consultant to join our team full-time in London. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology … that redefines industries and shapes the way people live. About the role: As a Principal Data & AI Consultant, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Client engagements, account strategy & delivery responsibility within Data Science or AI Engineering domain(s) Leading client development or enhancement of their Data & AI strategy to … s) within internal innovation initiative, including development of prototype or demo solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Provide Thought Leadership within the service by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Contribute to the More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯

an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring … the machine learning team. Responsibilities: Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning … and data engineers. Establish best practices for model development, evaluation, monitoring, and retraining. Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science More ❯