26 to 50 of 206 Big Data Jobs in the North of England

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 ❯

Cloud Services: Experience with cloud 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 frameworks is a plus. Desired Skills: Asynchronous Programming: Familiarity with asynchronous programming tools like Celery More ❯

Lead Data Scientist (Equity Only) - 1% Job Details Location: Wakefield, United Kingdom Job Category: Other EU Work Permit Required: Yes Job Overview Luupli is a social media app in development aimed at providing opportunities for diverse creators from marginalized communities. As a Lead Data Scientist, you will leverage AWS analytics services to analyze data, develop data-driven solutions, and contribute to the company's growth. Responsibilities Collaborate with teams to define analytics goals and understand business objectives. Implement data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive and pattern analyses. … Develop KPIs and dashboards for decision-making using Amazon QuickSight. Conduct exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture and governance. Requirements Bachelor's or master's degree in relevant fields. Experience with AWS analytics services and cloud-based data analysis. Proficiency in AWS tools, data modeling More ❯

Join to apply for the Data Scientist role at Cox Automotive Europe Join to apply for the Data Scientist role at Cox Automotive Europe Direct message the job poster from Cox Automotive Europe Head of Talent Acquisition at Cox Automotive Europe - We're hiring! Join Cox Automotive as a Data Scientist - Shape the Future of the European … Automotive Market! Are you a curious data enthusiast and problem solver eager to make a significant impact? Do you thrive on turning complex data into actionable insights that drive business decisions? If so, Cox Automotive Europe is looking for you! About Us: At Cox Automotive Europe, we harness the power of data to transform the way the … world buys, sells, owns and uses vehicles. Our Data teams are on a mission to provide our clients and internal teams with unparalleled market insights, and decision assistant tools, using state-of-the-art technology to create solutions that make a difference. The Role: The Data Scientist will help the data science team introduce predictive analytics into More ❯

People at Pret work hard, have fun, learn a lot and really grow. Right now, we’re looking for two passionate Data Engineers to join us. About Pret Pret is an international on-the-go food and drink retailer founded in 1986. Our purpose is to make every day a little bit brighter, through organic coffee, freshly prepared food … made, healthy food, to go’. We’re aiming to better understand our customers and their preferences, so now is an exciting time to join us! The Role The Data Engineer will play a key role in enabling Pret to unlock the value of its data, building efficient, scalable, and reliable data pipelines to power analytics, reporting … and strategic decision-making. Working as part of a highly skilled engineering team, you will help design and implement robust data solutions that transform raw data into actionable insights. As part of a collaborative and learning-focused culture, you will follow modern data engineering best practices, including software engineering principles, automation, and cloud technologies, to deliver high More ❯

Join to apply for the Data Scientist role at Cox Automotive Europe Join to apply for the Data Scientist role at Cox Automotive Europe Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Cox Automotive Europe Head of Talent Acquisition at Cox Automotive Europe - We're hiring! Join Cox Automotive … as a Data Scientist - Shape the Future of the European Automotive Market! Are you a curious data enthusiast and problem solver eager to make a significant impact? Do you thrive on turning complex data into actionable insights that drive business decisions? If so, Cox Automotive Europe is looking for you! About Us: At Cox Automotive Europe, we … harness the power of data to transform the way the world buys, sells, owns and uses vehicles. Our Data teams are on a mission to provide our clients and internal teams with unparalleled market insights, and decision assistant tools, using state-of-the-art technology to create solutions that make a difference. The Role: The Data Scientist More ❯

Join to apply for the Data Architect role at Somerset Bridge Group 1 week ago Be among the first 25 applicants Join to apply for the Data Architect role at Somerset Bridge Group Get AI-powered advice on this job and more exclusive features. Application Deadline: 27 June 2025 Department: [SBSS] Enterprise Data Management Location: Newcastle Compensation …/year Description Are you ready to shape the data backbone of an ambitious insurance business? We're on the lookout for a Data Architect to help us build a modern, scalable, and secure data estate that unlocks value across pricing, customer experience, operations, and regulatory reporting. This role is central to our mission to become a … truly data-driven organisation. You’ll play a key part in designing our future state architecture, guiding our move to an Enterprise Data Warehouse (EDW), and enabling advanced analytics, governance, and data protection by design. The role will focus on ensuring data integrity, scalability, security, and performance within the Microsoft Azure ecosystem, leveraging Databricks as the More ❯

for a Senior Business Intelligence 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 role loves building tools and reports that empower others to make high impact decisions and … tell 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 UAT on new tables Liaise with data engineers More ❯

range is provided by Matillion. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our … Fit: Lead workshops or trials to validate solution fit with business objectives Position competitive advantages to influence trial success criteria Guide customer teams to integrate our solutions into their data stacks during trials while driving measurable business outcomes Support technical aspects of credit sizing estimates Customer Onboarding and Growth: Document customer insights during the sales cycle to ensure a … Collect and communicate customer feedback to the Product and Engineering teams, ensuring continuous product improvements and alignment with market needs Stay informed about industry trends and best practices in data integration, cloud computing, and data transformation, sharing insights with both customers and internal teams About you What we are looking for includes: Essential Criteria 5+ years in a More ❯

month ago Be among the first 25 applicants As part of the Big Data Team, you will be using cutting edge technologies to work on collating data across different sources within GiG. Sources are all in real time, and you will be supporting an event driven micro service lambda architecture. Your focus is to work with the … current agile team and contribute to the platform's objectives and continue being an enabler to many other data technology stakeholders such as the Business Intelligence, Data Science and Quality Assurance teams. You will be up for a challenge, to continue maintaining and adding new features to a platform that ingests up to 5000 messages per second across … multiple products such as Lottery, Sports and Casino. Reporting to the Lead Big Data Engineer and supported by the Big Data Architect to follow best practices, you'll be guided into delivering world class product increments that support our Tier 1 Platform. You're really awesome at: Object oriented programming (Java) Data modelling using any More ❯

Lead Data Scientist (Equity Only) - 1% About Luupli Luupli is a social media app 'in development' that aims to provide opportunities for diverse creators from marginalized communities. The platform 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, collaborate with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS tools such as Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning … techniques for analysis and insights. Create dashboards and KPIs using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate with data engineers on data architecture and governance. Requirements: Bachelor's or master's degree in a related field. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in More ❯

Due to continued growth throughout the business, our tech team is levelling up to meet demands. Because of this exciting time, we are looking to recruit a Lead Cloud Data Engineer to join our tech team. Sitting alongside the Data Science Director and Head of Database Administration & Development, this role will require you to perform cloud-based database … depending on experience Working Hours: 37.5 Hours per week, Monday to Friday, 9am to 5:30pm What you will be doing: Lead the design, development, and optimization of scalable data and pipelines in a cloud-based environment Implement and manage data warehouses using Azure Synapse, ensuring data integrity and security Build, deploy, and manage ETL processes to … support real-time and batch data processing using tooling across the Azure estate, Databricks, PySpark, and SQL Oversee data storage across both relational and non-relational databases, ensuring efficient data retrieval Design and implement data security protocols to safeguard sensitive information Collaborate with DBAs, the cloud architect, and end users to ensure seamless integration between data 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 world of payments is going through the most thrilling transformation … is CMSPI's mission to 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 cross-functional team focused on … and analysing datasets, developing mathematical 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 a fast-paced environment. The More ❯

This range is provided by Mirai Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Junior Data Scientist awesome company! A rapidly growing software company based in Manchester, focused on delivering advanced analytics solutions and looking for a Junior Data Science to join their Data & Analytics function. As a Junior Data Scientist, you'll be a key member of a cross-functional team, enhancing and developing state-of-the-art features for their platform. Your role will involve preparing and analysing datasets, crafting mathematical and machine learning models, and developing clear visualisations that translate intricate findings into actionable recommendations. Role Overview As a … Junior Data Scientist, you'll be an integral part of a cross-functional team, enhancing their platform's capabilities. Responsibilities include preparing and analysing datasets, developing models with machine learning, and creating engaging visualisations that turn complex information into practical insights. Key Responsibilities Preparing, cleaning, and structuring data for model development. Investigating patterns, trends, and anomalies within datasets. More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £50,000 - £77,500 - depending on experience Department: Technology and Data We’re 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with excellent service. … is impressive! Are you ready for a thrilling new career in a fast-paced, dynamic workplace? If so, today might be your lucky day! We’re seeking a Senior Data Engineer to join our cutting-edge technology and data teams. This hands-on technical role involves building data solutions for various projects and persistent data products. … You’ll design and implement complex data pipelines, manage database populations, and ensure your solutions align with technical designs and data platform standards. While this role doesn’t include direct people management, you will support, coach, and mentor data engineers and associate engineers, helping them develop their skills. Could you be the right fit? We promote flexible More ❯

Senior Azure Data Engineer Remote Working - UK Home-based with occasional travel into the office £39,784 - £49,477 (National) £45,456- £55,149 (London within the M25) Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally … you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components More ❯

Senior Azure Data Engineer Remote Working - UK Home-based with occasional travel into the office £39,784 - £49,477 (National) £45,456- £55,149 (London within the M25) Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally … you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components More ❯

Senior Azure Data Engineer Remote Working - UK Home-based with occasional travel into the office £39,784 - £49,477 (National) £45,456- £55,149 (London within the M25) Additional allowance for exceptional candidates - Max Salary - £62,000 (National) and £67,000 (London within the M25) Homeworking allowance of £581 per annum Job Ref: J12964 A Senior Azure Data Engineer is required to design, build, test and maintain data on the enterprise data platform, allowing accessibility of the data that meets business and end user needs. The successful individual will be responsible for maximising the automations, scalability, reliability and security of data services, focusing on opportunities for re-use, adaptation and efficient engineering. Additionally … you will support the team but knowledge sharing and mentoring more junior members of the team. Accountabilities: Design, build and test data pipelines and services, based on feeds from multiple systems using a range of different storage technologies and/or access methods provided by the Enterprise Data Platform, with a focus on creating repeatable and reusable components More ❯