1 to 25 of 252 Use Case Jobs in the North of England

experience) AWS Certified Data Analytics – Specialty (preferred) Experience with multi-cloud environments (Azure, GCP) is a plus Strong programming skills in Python, SQL, or Scala for data engineering use cases Good to have: Currently working in a major Consulting firm, and/or in industry, but having a Consulting background with proven ability to be successful in a … new analytics and AI products and services through our functional and industry communities of interest. We believe data can be a driver for a better world: we will use our AI & analytics skills to improve sustainability, address climate change and champion active inclusion We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for More ❯

XP, Kanban. Can own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. You are a skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project. You … from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone More ❯

The Solution Architect at Matillion plays a key role in securing the technical win and maximizing ACV with prospective enterprise customers. This role is responsible for qualifying customer use cases, demonstrating how Matillion’s solutions solve their challenges, managing software trials, and driving business value through the platform. The Solution Architect is a consultative and adaptable team player … desired future state, mapping it to success metrics and business outcomes Support customer digital sales rooms, providing technical input and ensuring alignment between sales and technical teams Qualifying Use Cases: Deliver tailored demos that align with business issues, decision criteria, and outcomes Articulate how our platform solves customer challenges, differentiate against competitors, and verify with real-world proof … Identify and drive opportunities for upselling and expansion, ensuring customers realise value by increasing platform consumption through new workloads and groups Marketing and Thought Leadership Create technical content and case studies that demonstrate how Matillion’s solutions address customer challenges Represent Matillion as a technical expert at industry events, conferences, and user groups, fostering a strong brand presence Product More ❯

to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative Development: Work closely with marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research … Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in More ❯

playbooks (Logic Apps). - Enhance response efficiency by developing SOAR integrations across security tooling. Documentation & Reporting - Produce comprehensive incident reports and root cause analyses. - Maintain technical documentation for use cases, configurations, response procedures, and data source onboarding. - Generate regular dashboards and reports for SOC leadership and compliance stakeholders. Required Skills & Qualifications: - Bachelor’s degree in computer science, Cybersecurity More ❯

you'll be doing Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline Partner with security and compliance teams to More ❯

Engineering Team to mitigate risks. Summary Threat Detection and Monitoring: Design, build, and own a formal threat hunting program with a strong emphasis on hypothesis-based hunting methodologies. Use threat intelligence, MITRE ATT&CK, and risk models to form hypotheses and validate them through structured hunts. Leverage Jupyter Notebooks and other tools to automate hunts, visualise results, and … detections. Collaborate with detection engineering to convert threat hunt findings into high fidelity detection content. Utilising both NCC Groups internal threat intelligence feeds and open-source threat intelligence, use these to operationalise detections for emerging threats. Support the mapping of threat models to monitoring use cases in partnership with teams across the business. Document and maintain … TTP analysis, and adversary emulation. Deep familiarity with hypothesis-driven threat hunting frameworks and methodologies. Ability to work autonomously while collaborating across security, engineering, and business teams. Strong use of Splunk Programming Language. Strong scripting/query language skills (e.g., Python, KQL, SQL, PowerShell). Hands-on experience using Jupyter Notebooks for data exploration, automation, and visualization in More ❯

willingness to continually learn. Work with internal functions and Service Providers to continually refine DCC’s monitoring capability in terms of pro-activity, diagnostic accuracy and responsiveness. Develop use cases for continuous improvement. Preferable experience in R, SQL, Elastic, AWS, Data Analytics/Analysis/Omniscope tools & coding. Promptly communicate and escalate to the ITIL functions any issues More ❯

such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working More ❯

such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied to industry relevant use cases. Familiarity with working More ❯

Proven experience onboarding and managing log sources in Azure Sentinel . Hands-on experience configuring data connectors and diagnostic settings in Azure . Solid understanding of use case development and detection engineering . Knowledge of PowerShell, KQL (Kusto Query Language), and JSON formatting . Familiarity with identity-related logs (Azure AD, ADFS, M365 Defender, etc.) . Experience More ❯

and data-driven solutions. Key Responsibilities: Define and lead the global AI implementation roadmap, aligning with business strategy Collaborate with cross-functional teams to identify and prioritise AI use cases Manage end-to-end implementation of AI projects, from concept to delivery Evaluate and integrate AI platforms, tools, and vendor solutions Monitor project progress, risks, and benefits realisation More ❯

and data-driven solutions. Key Responsibilities: Define and lead the global AI implementation roadmap, aligning with business strategy Collaborate with cross-functional teams to identify and prioritise AI use cases Manage end-to-end implementation of AI projects, from concept to delivery Evaluate and integrate AI platforms, tools, and vendor solutions Monitor project progress, risks, and benefits realisation More ❯

different methodologies and techniques gained by working on multiple projects. Experience of successfully delivering Business Analysis and readiness work across the project lifecycle including: requirements gathering, stakeholder management, use cases, Business Impact assessments, process mapping as is & To be, creating and delivering communications & training plans, creation of support models & operating models and RACI. Willingness to learn, ask questions … as you drive activity. Knowledge of using Business Analysis tools such as Jira, Miro, and Visio Comfortable gathering and analysing large data sets for business decision making including use of MS Excel/Power BI Experience of leading and facilitating workshops and meetings as you gather requirements and spark thoughts and debate. First class inter-personal skills, coupled More ❯

and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage … that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration More ❯

and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage … that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration More ❯

whilst maintaining quality standards. Collaborate closely with other team members and departments. Execute all levels of testing (System, Integration, and Regression). Analyse user stories and/or use cases/requirements for validity and feasibility. Mentor team members in an open, respectful, flexible and empathetic manner. Help team members overcome obstacles concerning their work. Detect and track … and able to work alongside strong personalities within the business. Strong technical, analytical and problem solving-skills. Ability to provide support and guidance to other team members. Desirable: Use tools such as Azure & SonorCloud to accurately report test coverage. Create automation test frameworks and build this into a CI/CD pipeline. Awareness of TDD (Test Driven Development More ❯

oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices More ❯

implement tools such as Microsoft 365 Copilot, Atlassian Intelligence, GitHub Copilot, and internal AI/automation platforms. Partner with engineering and product teams to prototype lightweight internal AI use cases (e.g. document assistants, knowledge bases, workflow bots). Introduce low-code/no-code automation using platforms like Power Automate or Zapier where appropriate. Change & Enablement Create tailored More ❯

access control Engage with stakeholders across business and technology to understand requirements and translate them into scalable platform capabilities Support the onboarding of new data domains and analytical use cases, ensuring alignment with platform standards Align technical designs with internal privacy and security policies Experience Required Extensive experience in architecting and scaling data platforms centered around Snowflake, integrated More ❯

such as tools that support analysis/detection and other emerging technologies. Gather forensic data and physical equipment, to perform in-depth root cause analysis. Support use case tuning through auditing and approval, alongside developing new detection content including machine learning analytics and Security Automation Orchestration and Response (SOAR). What are we looking for? Ability to More ❯

transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support. We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for … and contractual workflows in close collaboration with legal and other internal stakeholders. Partner with product and business teams to ensure content partnerships and usage rights align with product use cases and customer expectations. Collaborate with operations and engineering to support the efficient onboarding and integration of new data sources. Act as a liaison between external content providers and … product engineering teams as needed to optimise workflows. Ensure data governance and compliance with sourcing, ingestion, and usage guidelines; uphold ethical and regulatory standards and communicate terms of use to product and sales teams. Qualifications Undergraduate/first-level degree (e.g., Bachelor’s) or graduate/second-level degree (e.g. MBA, Master’s) with an emphasis in finance More ❯

client stakeholders to uncover pain points, business drivers, and opportunities for AI-powered transformation. Conduct discovery workshops and assessments to define business requirements and align them with AI use cases. Design and Propose AI Architectures Translate client requirements into scalable, cloud-based AI architectures that address both technical feasibility and business impact. Propose end-to-end AI/… solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. Advise internal stakeholders on how evolving technologies (e.g. vector More ❯

to apply for the Product Owner role at System C System C is the UK’s leading health and social care software and services company. Our easy-to-use IT platforms provide a complete view of the individual across all care settings, helping integrate services and improve care. We are a British company with over 35 years’ experience. … Liquid Logic. It is also well known for its best-in-class capabilities from Electronic Prescribing, Medicine’s Management to Maternity + Neonatal and Education. We strive to use the latest in technology and be at the fore front of developments, incorporating cloud first approaches, shared services, mobile technology and AI - to radically redesign services and the way … backlog, prioritising user stories for implementation and providing overall visibility to the backlog. Act as liaison between Engineering and the user to interpret and relay clear use case and customer problems to the Engineering teams. Work closely with Engineering + UI/UX , participating in scrum meetings and overall guidance to the Engineering teams, setting sprint goals More ❯

subject matter expert on data exploitation, advising senior stakeholders and contributing to both the GBE-N and our project partners digital transformation agenda. GBE-N will maximise the use of AI and novel technologies to enhance our project delivery, aiming to reduce costs and improve efficiency in line with the Government AI playbook. Experience in managing and exploiting … under the direction of the Information Management Lead Leading the design and implementation of data governance, quality, and lifecycle management practices Identifying and delivering AI and machine learning use cases that drive operational efficiency, safety, and innovation Collaborating with technical and business teams to ensure data is accessible, secure, and fit for purpose Establishing data architecture standards and More ❯