Senior AI/ML Engineer

La Fosse
Manchester, UK
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Database Continuous Integration Data Governance Data Systems Elasticsearch Machine Learning Systems Development Life Cycle Azure Machine Learning
+5 more
Search Technologies Apache Solr Complex Event Processing Data Pipelines Serverless Computing

Job description

  • Work within an Agile team to design, develop, test, and deliver high-quality applications and services.
  • Apply deep expertise in one or more of the following:
  • RDF/graph technologies (e.g., GraphDB)
  • AI/ML platforms (e.g., SageMaker, Bedrock)
  • Search technologies (e.g., Solr, OpenSearch, Elasticsearch)
  • Cloud-based data pipeline engineering (AWS)
  • Produce clean, testable, maintainable code that supports incremental innovation.
  • Build and maintain robust data pipelines, ensuring quality, accuracy, security, and strong data governance.
  • Deliver high-quality data systems across multiple formats and delivery cadences.
  • Create best-in-class API experiences for internal and external data consumers.

Requirements

  • 6+ years’ experience in software/ML engineering with ownership of outcomes and standards.
  • End-to-end ML engineering experience, with deployment exposure.
  • Strong problem-solving ability and a passion for raising engineering quality.
  • Expertise in cloud technologies, especially AWS.
  • Solid understanding of SDLC and modern CI/CD practices.
  • Experience designing scalable systems and serverless architectures., You’ll work on complex, meaningful challenges that require real innovation-leveraging AI, ML, graph technologies, search platforms, event processing, geospatial systems, and a wide range of AWS services. The environment combines disciplined engineering with genuine autonomy, collaboration, and a strong sense of purpose.

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