51 to 75 of 135 Big Data Jobs in the Midlands

quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing … validation, and verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate closely with Grid Automation (GA) product lines, R&D teams, product … e.g., connected buildings, utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). They should have a strong understanding of how to apply data science and data engineering techniques to develop, validate, and enhance AI/ML models within these complex and data-rich environments. Job More ❯

Know software development tools such as Git, SVN, Artifactory, and Jira Show familiarity with continuous integration tools such as Jenkins or TeamCity Deal with big data - millions of rows a day Experience of SQL including query optimization Evaluate, engineer, customize and extend solutions Enthusiastic about learning new technologies … a strong interest in financial products is a plus Experience with near real-time transactional systems with NoSQL databases (Kafka, Elastic Search) Experience with big data concepts Experience with Scala Experience in BPMN and user workflow-based systems #J-18808-Ljbffr More ❯

have helped shape some of the most iconic titles in the industry. Our mission is clear: to help great studios create unforgettable experiences through data-driven insights, grounded in a deep understanding of players. We integrate seamlessly into partner studios, bringing clarity, cohesion, and actionable guidance across the full … ops. Our UX research isn’t siloed. It’s strategic, contextualized, and directly connected to product success. What You'll Do As a Senior Data Engineer at NBI Games, you will be a key player in the development and maintenance of our data platform. This role is critical … to ensure that gameplay data, telemetry, and analytics pipelines are reliable, scalable, and robust. You’ll work cross-functionally with analysts, data scientists, and game teams to support infrastructure that powers insights for game tuning, live ops, and player behavior understanding. Key Responsibilities Design, implement, and optimize scalable More ❯

Engineering Unit: Networks Location: Snowhill, Birmingham, United Kingdom All locations: Belfast or Birmingham Working Style: 3 days a week in office, 2 days anywhere Data is at the heart of our business. With your expertise, we can enhance the services we provide to our customers, including TV, Broadband, Digital … Cloudera to deliver these critical services. Join us and be part of a team that's revolutionizing the way the world connects! As a Data Engineer, you'll be part of our Data & AI Enablement Team, designing, building, and supporting high-quality engineering products from our extensive data … ll be doing This is a developer first role in which you will design, build, and lead on the development and support of scalable data products for our business stakeholders. Agile development through story planning, estimation and retrospectives. Contribute the continual improvement of our solutions, i.e. process improvements/ More ❯

safety, and security. Are you excited about the opportunity to electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, focusing on validating AI/ML models for grid innovation applications. This role involves rigorous testing, validation, and … verification of AI/ML models with grid data to ensure they meet accuracy, performance, and operational standards within energy systems. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate with Grid Automation (GA) product lines, R&D teams, product management, and other … in energy systems and grid automation, or related domains such as smart infrastructure or industrial automation. They should have a strong understanding of applying data science and engineering techniques to develop, validate, and improve AI/ML models in complex, data-rich environments. Essential Responsibilities: Design and conduct More ❯

deliver vital electricity for health, safety, and quality of life. Are you excited to electrify and decarbonize the world? We are seeking a skilled Data Scientist - Validation to join our team, focusing on validating AI/ML models for grid innovation applications. The role involves testing, validation, and verification … of AI/ML models with grid data to ensure they meet standards in accuracy, performance, and operations. Reporting to the AI leader in the CTO organization, the Data Scientist will collaborate with Grid Automation (GA), R&D, product management, and other GA functions. The ideal candidate will … the energy sector, particularly in energy systems, grid automation, or related fields like smart infrastructure or industrial automation. They should understand how to apply data science techniques to develop, validate, and improve AI/ML models in complex, data-rich environments. Job Responsibilities Design experiments to test and More ❯

applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Ability to build, operate, maintain, and support cloud infrastructure and data services. Skills to automate and optimize data engineering pipelines. Experience with big data technologies (Databricks, Spark). Development of custom security … cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks … PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Degree in cybersecurity. Experience leading teams of more than 10 people. Recent involvement in an AI/ML project or program. #J-18808-Ljbffr More ❯

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. Job Description Delivering successfully to our customers is extremely importance to Verisk. This is a vital … date estimates both at an order of magnitude level for high level scope and specific date once requirements are fully defined and refined. The Data Acquisition Manager to negotiate and contract with any 3rd parties. The Principal Architect to design the solutions Working with the Head of Customer Operations … required for the role We are looking for a focussed, extremely well organised, detail minded team player, with a good business level understanding of data, software and APIs. The ideal candidate would enjoy working with customers and gain satisfaction from “making things happen” for them. 3-5 years managing More ❯

client is an international, privately owned, high growth technology services company, serving the world’s most respected financial institutions. They’re hiring a Python Data Engineer to join their Internal Audit Data Team in Birmingham. This is a high-trust role for someone who thrives in complex, regulated … environments and knows how to deliver high-performance data pipelines in the cloud. Role You’ll build robust data infrastructure to enable smarter audit and risk insights. You’ll design scalable ETL/ELT pipelines in Python (with PySpark) and orchestrate them using tools like Databricks and Snowflake. … You’ll work with structured and unstructured data across the firm, integrating APIs, batch loads, and real-time streams. Your work will power cross-functional audit teams, so documentation, data lineage, and reproducibility will be key. Expect hands-on collaboration with stakeholders, ownership of quality checks, and a More ❯

be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Team: At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat … automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to … collaborative environment. Responsibilities: Technical Leadership: Establish best practices and share expertise through mentorship. Model Development: Design, train, and optimize machine learning models and algorithms. Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training. Model Deployment More ❯

meeting the needs of our customers and our sustainability commitments. As part of the Strategic Planning Team, you’ll be responsible for covering both Data and Technology capabilities, by leading the operation, maintenance and management of the digital tools required to maintain our 10-year plan of outages. You … essential. Relevant experience in IT-related, digital product management. Excellent stakeholder engagement skills and the ability to communicate insights to teams. Expert analytical and data management skills. Ability to manipulate, collate, understand and analyse ‘big data’. Excellent data presentation skills through multiple methods and data representations. Ability to analyse core system data and provide reporting information to assess results against defined KPIs. Proven flexibility to adapt positively to change, along with excellent communication skills. What's in it for you? A competitive salary of £47,400 – £59,000 per annum Annual Performance Based More ❯

transversal. As part of the Performance Management team within our Operations Performance & Productivity division, and reporting to the Regional Lead Performance Europe 2, the Data Analyst - Business Intelligence is responsible for providing accurate visibility of Operations performance to business owners, including Activity , Quality , and Productivity indicators for all Lines … of Business in the British & Irish Bus. The primary duty of the Business Intelligence Analyst is to transform data into insight to enhance business value. They are responsible for the success of the business by using data to identify revenue losses and improvement areas to increase profits. They … and analyze KPIs and dashboard needs from stakeholders, including call center leaders, management, and other functions. Develop a framework to collect/store raw data from various sources, transform it into KPIs , and display it in comprehensive dashboards at different levels and frequencies. Monitor and analyze performance trends, proactively More ❯

Join to apply for the Data Engagement Manager role at Experis UK 4 days ago Be among the first 25 applicants Join to apply for the Data Engagement Manager role at Experis UK Rate: £541.49 - Umbrella only Would you like to join a global leader in consulting, technology … services and digital transformation? Role Title: Data Engagement Manager Duration: 6 Month Location: Telford (2 Days Onsite per Week) Rate: £541.49 - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the … entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role Purpose/Summary The Data Contract Area focuses on managing projects which are commissioned under the Big Data & Analytics and Legacy Data Warehouse Contracts. You will form part of the engagement team More ❯

team to ensure quality assurance, consultancy, and advisory services on client projects. You will work on impactful projects such as improving rail services with big data, visualizing accident data geospatially, or using AI-enabled traffic cameras for transport planning. Your Team This role is part of the … Data, Architecture and Solutions Capability within the Intelligent Infrastructure business, focusing on digital skills, training, and professional development. You will work in an Agile team with developers, testers, analysts, and transport experts to design and deliver innovative software solutions across property and infrastructure sectors. Our hybrid working policy combines … site visits and face-to-face collaboration across UK offices. Key Responsibilities Lead technical client engagements, providing insights and solutions to complex software and data challenges. Estimate, design, develop, and deliver software solutions following industry best practices. Perform quality assurance reviews of documentation and deliverables. Support and maintain software More ❯

Technical leadership experience with a consultative approach and the ability to influence and engage technical and non-technical stakeholders. Good knowledge of integration techniques, data architecture including Big Data, AI/ML, data warehousing, and analytics. A proven track record in guiding technology product selection and More ❯

window coverings, operating across 136 entities over 100 countries. Hunter Douglas is looking for a technical FP&A Lead with a passion for systems, data architecture, and scalable automation. This role goes far beyond classic reporting—it's about building the infrastructure and tools that power modern, insight-led … helping leaders across the division make smarter, faster, and more informed decisions. You'll lead FP&A in a company that's exploring how big data, automation, and AI can elevate financial planning. Whether it's building predictive models, refining data pipelines, or embedding forecasting logic directly … tool creation and provision for the UK division Support integration of AI into forecasting processes Own the design and enhancement of financial systems and data flows. Automate manual reporting and data consolidation using SQL, Python, or relevant tools. Collaborate with Data, Engineering, and Ops teams to ensure More ❯

Work in a dynamic, fast-paced environment that provides exposure to all areas of finance. Understand and respond to business needs, developing process workflows, data requirements, and specifications to support implementation. Build strong relationships with business partners. Identify opportunities for cross-divisional collaboration and reuse of common solutions. Engage … in data modeling and curation. Basic Qualifications Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering, or related technical discipline. 2-5 years of software development experience. Excellent object-oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and performance optimization. … Excellent communication skills, with experience speaking to technical and business audiences globally. Problem-solving ability and data-driven decision-making skills. Ability to multi-task, manage multiple stakeholders, and work as part of a global team. An entrepreneurial approach and passion for problem solving and product development. Expert Knowledge More ❯

Work in a dynamic, fast-paced environment that provides exposure to all areas of finance. Understand and respond to business needs, developing process workflows, data requirements, and specifications to support implementation. Build strong relationships with business partners. Identify opportunities for cross-divisional collaboration and reuse of common solutions. Engage … in data modeling and curation. Basic Qualifications Bachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering, or related technical discipline. 2-5 years of software development experience. Excellent object-oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and performance optimization. … Excellent communication skills, with experience speaking to technical and business audiences globally. Problem-solving ability and data-driven decision-making skills. Ability to multi-task, manage multiple stakeholders, and work as part of a global team. An entrepreneurial approach and passion for problem solving and product development. Expert Knowledge 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 ❯