101 to 125 of 204 Big Data Jobs in the North of England

skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Place Informatics Ltd Lead Senior Data Recruiter at ADLIB - B Corp Certified - Ambassador at MotherBoard Senior (Geo) Insight Analyst – Place Informatics About Place Informatics Since 2015, Place Informatics has been … at the vanguard of foot traffic data, answering business-critical questions about people’s interactions with various spaces such as town centres, retail outlets, tourist attractions, heritage sites, green spaces, events and even car parks. By harnessing the power of cutting-edge technologies including artificial intelligence and machine learning … our ‘big data’ solutions are revolutionising the industry. Entrusted with this vital task is a close-knit team of IT developers, statisticians, and visitor insight specialists, who are committed to delivering impeccable services that can be tailored to the unique requirements of our clients. About the Senior Insight More ❯

Engineer (Sr. BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create … analytical data assets, and use visualization to create informative reports and dashboards that allow stakeholders to answer questions quickly and with confidence. You will become an expert in our data infrastructure and create/maintain pipelines that are critical to conducting robust analyses. The ideal candidate for this … stories with data. What you will be doing Work directly with analysts and engineers to understand goals, gather requirements, and guide development of new data assets by producing robust feature guides Build and support robust data pipelines to support business tools and analytical needs and meet SLAs Conduct More ❯

Title: Data Scientist Location Options: Scottsdale, AZ Stamford, CT Wakefield, MA Las Vegas, NV Job Type: Full Time Exempt Who You Are: As a Data Scientist at Curaleaf, you'll play a critical role in shaping the future of the cannabis industry through data-driven insights. We … business problems to generate actionable insights and support decision-making. Build and deploy efficient forecasting models while collaborating with cross-functional teams to provide data-driven recommendations. Use data visualization to communicate results to non-technical stakeholders and stay current on forecasting trends, particularly within the cannabis industry. … What You'll Bring: You have 3-5 years of experience in data science, specializing in time series forecasting and predictive modeling You have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in More ❯

JOB ROLE: Junior Data Scientist LOCATION: Manchester Office - Hybrid working model, with at least 2 in-office days per week. REPORTING TO: VP of Data Please note CMSPI does not hold a U.K. Sponsor Licence and is therefore unable to sponsor anyone without residency or settled status. The … revolutionise payments for merchants and retailers worldwide. We are a hyper-growth company and the go-to payments advisor for Global 500 merchants, driving big cost savings, huge sales growth, and enhanced strategies. As a Junior Data Scientist at CMSPI, you will play an integral part of a … and machine learning models, and creating compelling visualisations that translate complex insights into actionable recommendations. This is an exciting opportunity for an early-career Data Science enthusiast to enhance their technical expertise, collaborate with engineers, product owners and stakeholders and contribute directly to impactful analytics and predictive modelling in More ❯

Join to apply for the Data Solution Architect role at ANS Group 1 day ago Be among the first 25 applicants Join to apply for the Data Solution Architect role at ANS Group Get AI-powered advice on this job and more exclusive features. Are you passionate about … designing and architecting cutting-edge data technology solutions in Azure? Do you thrive in driving excellence and innovation? Join our team as a Data Solution Architect and lead our Centre of Excellence service to new heights! What You'll Be Doing Innovative Design: Research and design multiple end … ensure project timelines, development, and deliverables are on track, while effectively communicating findings to stakeholders. Education & Training: Educate, train, and build knowledge of enterprise data platforms and solutions with customers and internal teams. Continuous Learning: Stay current with technical and industry developments, including pursuing relevant certifications. Documentation: Document all More ❯

MGAs in the UK personal lines insurance market. Since becoming part of Verisk in 2021, we've accelerated our growth, leveraging world-class insurance data and analytics expertise to enhance our offering. Are you a proactive and commercially minded relationship manager with a passion for driving client success? Do … the insurance industry (personal lines preferred but not required). Knowledge of policy administration systems or insurance technology solutions. Familiarity with CRM tools and data-driven account management. #LI-Hybrid About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the … We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses More ❯

investigations, reports, analyses, dashboards, etc. to drive key business decisions. Participate in the build of scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities. Recognize and … adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, training, and documentation. Apply data mining and quantitative analysis to understand how our customers interact with us and identify the best way to improve the customer experience and meet our loss reduction goals. Acquire various … data sources to enable holistic analysis at a global level. Establish performance benchmarks, conduct analyses, and prepare reports on all key CMRS goals and metrics. Develop and maintain standard operating procedures, emergency response procedures, and preventive maintenance programs. Ensure standardization and consistency with best-in-class operating practices. Engage More ❯

investigations, reports, analyses, dashboards, etc. to drive key business decisions. Participate in the build of scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities. Recognize and … adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, training, and documentation. Apply data mining and quantitative analysis to understand how our customers interact with us and identify the best way to improve the customer experience and meet our loss reduction goals. Acquire various … data sources to enable holistic analysis at a global level. Establish performance benchmarks, conduct analyses, and prepare reports on all key CMRS goals and metrics. Develop and maintain standard operating procedures, emergency response procedures, and preventive maintenance programs. Ensure standardization and consistency with best-in-class operating practices. Engage More ❯

platforms like AWS , GCP , or Azure . DevOps Tools: Familiarity with containerization ( Docker ) and infrastructure automation tools like Terraform or Ansible . Real-time Data Streaming: Experience with Apache Pulsar or similar systems for real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache … Spark , Databricks , or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or other stream processing More ❯

About Place Informatics Since 2015, Place Informatics has been at the vanguard of foot traffic data, answering business-critical questions about people's interactions with various spaces such as town centres, retail outlets, tourist attractions, heritage sites, green spaces, events and even car parks. By harnessing the power of … cutting-edge technologies including artificial intelligence and machine learning, our 'big data' solutions are revolutionising the industry. Entrusted with this vital task is a close-knit team of IT developers, statisticians, and visitor insight specialists, who are committed to delivering impeccable services that can be tailored to the … in developing relevant, meaningful and understandable complex client reports, influence the development of our products, researching, and contributing to high-quality location and behaviour data products. You will: Translate complex data analysis into clear business value propositions. Visualize data to communicate insights effectively Engage with clients to More ❯

you will: Design and implement robust MLOps and LLMOps pipelines to automate and optimize machine learning model training, testing, deployment, and scaling. Collaborate with data scientists and software engineers to ensure operational criteria are met before deployment. Maintain and enhance CI/CD environments for machine learning systems. Develop … you need: Bachelor’s degree in computer science, engineering, statistics, or a related field. At least 3 years of experience in software development or data engineering, focused on MLOps or similar roles. Proven track record in designing and deploying scalable machine learning systems in production. Strong programming skills in … Jenkins, GitLab CI). Excellent problem-solving skills and the ability to work independently or in a team. Bonus if you have: Experience with data governance and compliance with data security regulations. Familiarity with performance tuning of big data technologies. What you will gain at Intapp More ❯

Data Platform Technical Delivery Manager ASAP Start Until end of Year Knutsford (Hybrid) £410p/d via Umbrella Role Description: Strong programme delivery experience, at scale - Specifically data platform migrations to Cloud, managing business change/impacts Excellent in both Technical and Business change domains Strong stakeholder management … record of operating with senior levels of management * Experience with large corporate change processes and architectural understanding of ecosystems of applications * Experience in large data migration project. * Experience in Teradata and snowflake is preferred. * Experience with big data stores, real time analytics, Data visualisation. Desirable skills More ❯

Job Description Role: Data Platform TDM Location: Knutsford, UK(Hybrid) Role Description: Strong programme delivery experience, at scale – Specifically data platform migrations to Cloud, managing business change/impacts Excellent in both Technical and Business change domains Strong stakeholder management: internal, external and 3rd party. Key Accountabilities • Create … record of operating with senior levels of management • Experience with large corporate change processes and architectural understanding of ecosystems of applications • Experience in large data migration project. • Experience in Teradata and snowflake is . • Experience with big data stores, real time analytics, Data visualisation. Desirable skills More ❯

Scoping Lead with qualification of designs and opportunities Lead and present at customer opportunities and workshop sessions Takes responsibility for understanding client requirements, collecting data, delivering analysis and problem resolution Identifies, evaluates and recommends options, implementing if required Collaborates with, and facilitates stakeholder groups, as part of formal or … Works Service Delivery Undertake individual consultancy assignments or work on a project as part of a larger team analysing customer requirements, gathering and analysing data and recommending solutions Technically manage the design and implementation of solutions, with the exception of those which are high risk/large scale Ensure … Private Cloud Architecture Software design Security (Architecture or Engineering) Infrastructure or Application Migrations Platform or Systems Engineering/Administration Operations in hybrid cloud environment Big Data or Data Analytics Make an application to join the team! None of this is achievable without great people, with a complete More ❯

AWS Data Engineer - Newcastle. Location: Newcastle Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history(typically including no periods of 30 consecutive days or more spent outside of the UK)at the point of application. … an unparalleled opportunity to grow and advance. How best to develop your skills and hone your talents within an innovative technology environment. As a Data Engineer, you will: Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies … Have a broad understanding of AWS services including but not limited to, EC2, Storage, AWS Security, Container technologies (EKS, ECS, Fargate), IAM, Cloud Networking, data processing and machine learning. Strong experience of programming using SQL, Python Have hands on experience with addressing challenges involved in Big Data More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯