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Oxford Quantum Circuits (OQC)
Oxford Quantum Circuits (OQC)
51 – 200 Angajați
Calcul cuanticInteligență artificialăÎntreprindere
Oxford Quantum Circuits (OQC) dezvoltă tehnologii de calcul cuantic pentru organizațiile care explorează aplicații practice ale sistemelor cuantice. Fondată în 2017, compania îmbină expertiza în calcul cuantic, inteligență artificială și tehnologie pentru întreprinderi pentru a furniza soluții concepute să fie accesibile, sigure și fiabile. Activitatea sa se concentrează pe sprijinirea companiilor în dezvoltarea capabilităților cuantice și în investigarea problemelor complexe care ar putea beneficia de calculul cuantic.
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Locurile de muncă ale companiei

Data Engineer (Hybrid, London) at Oxford Quantum Circuits

Build secure, governed data pipelines and machine learning datasets for Oxford Quantum Circuits’ commercial quantum computing products. Support cloud, on-premises and customer-facing data workloads.

GBRegatul Unit
260.000.000 £ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de date
CloudSparkSQL

Descriere

  • Design, build and operate secure ingestion and transformation pipelines for internal, external and customer data.
  • Develop workflows across cloud, private cloud, on-premises and data-centre environments.
  • Create governed datasets for machine learning and quantum workloads, including contracts, versioning, quality controls, access rights, lineage and retention.
  • Produce reliable training, validation, calibration and untouched test datasets for robust machine learning evaluation.
  • Convert customer data into QPU-permitted features or latent representations and feed outputs into governed synthetic datasets.
  • Monitor and improve pipeline reliability, throughput, latency, storage efficiency and operating costs.
  • Implement automated testing and CI/CD for data pipelines and infrastructure.
  • Work with engineering teams to establish dependable data foundations for customer-facing products.
  • Collaborate with Software, Platform, Security, Machine Learning and Infrastructure teams.

Cerințe

  • Hands-on experience with Databricks, Spark, Delta Lake and SQL.
  • Experience building and operating both streaming and batch data pipelines.
  • Strong knowledge of data quality, lineage, access controls and dataset governance.
  • Experience running data systems in cloud, private-cloud or on-premises environments.
  • Understanding of data requirements for machine learning training, synthetic data and untouched evaluation datasets.
  • Strong knowledge of data security, including encryption in transit and at rest, access controls and audit logging.
  • Demonstrated ownership and communication skills, with the ability to work across software, platform, security, machine learning and infrastructure teams.
  • Degree or equivalent practical experience in Computer Science, Software Engineering or a related field.
  • Experience handling sensitive or regulated data, especially banking transactions, market data or customer records.
  • Experience supporting data infrastructure for machine learning workloads.
  • Familiarity with quantum computing or hybrid classical-quantum products.
  • Experience with data platforms spanning cloud and customer-controlled infrastructure.
  • Pragmatic, curious mindset and comfort working in a rapidly evolving technical environment.
  • Relevant professional or postgraduate qualification.

Beneficii

  • Work in a culture focused on bold innovation.
  • Gain access to distinctive laboratory infrastructure.
  • Contribute to work aimed at expanding the limits of computation.
  • Join a leading team shaping the next era of computing.

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