MLOps Engineer

7 days ago

Cardiff, Cardiff, United Kingdom SRT Marine Systems plc Full time

Join Us at SRT Marine Systems as an MLOps Engineer

Job Title: MLOps Engineer

Location: 1 day / week in Cardiff office

Job Type: Full-Time, Permanent

SRT Marine Systems plc (SRT) are a market leader in its domain of international marine surveillance technology and systems. We are respected, established and an ambitious multi-national company headquartered in the UK with a global customer base.

The company has a global impact in the marine domain by leading the next generation of maritime domain awareness technologies, products and systems that significantly enhance, security, safety and environment protection and sustainability. Our customers are worldwide and range from the largest national coast guards to individual vessel owners.

SRT is an exciting company where high quality results are rewarded. We are ambitious and are constantly seeking to innovate to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work where talented hard-working individuals have the opportunity to make a real impact across the marine world.

About The Role
SRT's vision is to make innovative use of publicly available data, augmenting it with proprietary data as a differentiator in the Maritime Domain Awareness market. SRT see Data Science and Machine Learning as an essential component to achieving this goal.

You will be part of a data-orientated team responsible for research and delivery. The team believes in the importance of collaboration to achieve its goals, and values open, honest and timely feedback. You will be encouraged to bring your knowledge, experience, ideas and perspective to help achieve solve the challenges put to you.

What You'll Be Doing

  • Help develop and evaluate machine learning models to solve maritime problems such as object detection, classification and outlier detection in time-series and image/video data.
  • Build, automate, and maintain ML training, evaluation, and deployment pipelines.
  • Implement CI/CD for data science workflows, ensuring version control for data, models, and experiments.
  • Establish testing and validation frameworks for ML models, datasets, and API endpoints.
  • Monitor model and system performance post-deployment; implement QA checks and regression tests where necessary.
  • Support the rest of the team by developing helper tools for dataset management, annotation, and evaluation.
  • Maintain documentation of workflows, testing, and deployment processes.

What You'll Bring

  • Solid experience in Python, with practical use of ML and data-science libraries (PyTorch, TensorFlow, scikit-learn, pandas).
  • Working knowledge of DevOps/MLOps practices - CI/CD, Docker, Git, and environment management.
  • Experience designing or maintaining automated testing and QA frameworks for data systems.
  • Understanding of model lifecycle management (training, evaluation, deployment, monitoring).
  • Familiarity with data pipelines and ETL processes.
  • Good communication and organisational skills; able to coordinate across research and engineering.

Our Values at SRT Marine

Ambition – Aspiring to lead in maritime domain management.

Innovation – Driving improvement through creativity and forward-thinking.

Quality – Committing to high standards in performance and reliability.

Responsibility – Being individually accountable and team-driven.

Team – Collaborating openly with colleagues, partners, and customers.

Why Join Us?

  • Work on mission-critical maritime surveillance systems used worldwide.
  • Be part of an ambitious, innovative, and supportive team.
  • Make a direct impact on global maritime safety and sustainability.
  • Enjoy flexible hybrid working.

Competitive Salary And Benefits, Including

  • Matched pension contributions up to 5%
  • 25 days annual leave (rising to 28 with service)
  • Private health care
  • Flexible working opportunities
  • Development and training programmes

SRT Marine plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

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