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      Technology Graduate - Nottingham

      Capital ONE
      Nottingham, Nottinghamshire
      Competitive
      Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire - Salary: £45,000 in Nottingham plus a £5,000 joining bonus and other benefits - Location: Nottingham only - Start date: 14th September 2026 - Eligibility: Open to any final year students graduating in 2026, or those who have graduated in 2025. (This includes undergraduates, masters and PhD students) Sponsorship: Were able to sponsor if you currently have the right to work in the UK (including student/graduate visas) Closing date: 3rd November 2025 (subject to close early) As we recruit on a rolling basis we recommend applying as soon as you can - Using technology to drive real and meaningful change. That's one good thing. At Capital One, we're on a mission: to change credit one good thing at a time. You might think of us as a credit card company. But the truth is, we're just as much a technol
      Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire - Salary: £45,000 in Nottingham plus a £5,000 joining bonus and other benefits - Location: Nottingham only - Start date: 14th September 2026 - Eligibility: Open to any final year students graduating in 2026, or those who have graduated in 2025. (This includes undergraduates, masters and PhD students) Sponsorship: Were able to sponsor if you currently have the right to work in the UK (including student/graduate visas) Closing date: 3rd November 2025 (subject to close early) As we recruit on a rolling basis we recommend applying as soon as you can - Using technology to drive real and meaningful change. That's one good thing. At Capital One, we're on a mission: to change credit one good thing at a time. You might think of us as a credit card company. But the truth is, we're just as much a technol
      more
      Salary: £70,000 £80,000 - Home-based (UK only, right to work required) Were looking for a Technical Success Manager (TSM) to join evaluagent . Youll be the technical expert who ensures our customers see value quickly and stay successful long term. From scoping solutions and running technical discovery sessions, to leading integrations and optimising setups, youll make sure our platform delivers real impact. Working closely with Sales, Onboarding, Customer Success, and Engineering, youll be a trusted partner who bridges technical know-how with business outcomes helping us win PoCs, onboard smoothly, and drive adoption and growth. What youll do - Lead technical discovery sessions, workshops, and PoCs with enterprise customers. Scope and deliver integrations, ensuring fast and reliable setups. Own the technical track of onboarding from discovery through handover.
      Salary: £70,000 £80,000 - Home-based (UK only, right to work required) Were looking for a Technical Success Manager (TSM) to join evaluagent . Youll be the technical expert who ensures our customers see value quickly and stay successful long term. From scoping solutions and running technical discovery sessions, to leading integrations and optimising setups, youll make sure our platform delivers real impact. Working closely with Sales, Onboarding, Customer Success, and Engineering, youll be a trusted partner who bridges technical know-how with business outcomes helping us win PoCs, onboard smoothly, and drive adoption and growth. What youll do - Lead technical discovery sessions, workshops, and PoCs with enterprise customers. Scope and deliver integrations, ensuring fast and reliable setups. Own the technical track of onboarding from discovery through handover.
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      We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights. Description for Internal Candidates - Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar. Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery). Work with structured and unstructured data from various sources (APIs, databases, flat files). Ensure data quality, integrity, and governance across systems. Collaborate with DevOps and cloud teams to manage data infrastructure (AWS,
      We are seeking a versatile and detail-oriented Data Engineer & Data Analyst to join our data team. This hybrid role involves designing and maintaining data pipelines, ensuring data quality, and performing in-depth analysis to support business decision-making. The ideal candidate will have strong technical skills in data engineering and a keen analytical mindset to extract actionable insights. Description for Internal Candidates - Design, build, and maintain scalable ETL/ELT pipelines using tools like Apache Airflow, Azure Data Factory, or similar. Develop and optimize data models and data warehouses (e.g., Snowflake, Redshift, BigQuery). Work with structured and unstructured data from various sources (APIs, databases, flat files). Ensure data quality, integrity, and governance across systems. Collaborate with DevOps and cloud teams to manage data infrastructure (AWS,
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      FEATURED
      As a Data Scientist youll lead how we design, test, monitor, and govern models from classical machine learning to agentic systems powered by large language models. Most data science roles focus on building models. We bring together data engineering, analytics, and data science to produce insights that drive real decisions. * Building scalable, reusable data pipelines for feature engineering and insight generation, automating workflows using Azure ML and Fabric, and applying best practices in MLOps for deployment and retraining. * Collaborating cross-functionally with product, engineering, and business teams to translate complex data science outputs into actionable insights understandable to both technical and non-technical stakeholders. * Mentoring junior colleagues a
      As a Data Scientist youll lead how we design, test, monitor, and govern models from classical machine learning to agentic systems powered by large language models. Most data science roles focus on building models. We bring together data engineering, analytics, and data science to produce insights that drive real decisions. * Building scalable, reusable data pipelines for feature engineering and insight generation, automating workflows using Azure ML and Fabric, and applying best practices in MLOps for deployment and retraining. * Collaborating cross-functionally with product, engineering, and business teams to translate complex data science outputs into actionable insights understandable to both technical and non-technical stakeholders. * Mentoring junior colleagues a
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