Senior AI Backend Engineer: ML Systems & Scale

Senior AI Backend Engineer: ML Systems & Scale

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build scalable backend systems for a cutting-edge media intelligence platform.
  • Company: Join Tether, a leader in media intelligence with a focus on innovation.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative team culture focused on clean design and system performance.
  • Why this job: Make an impact by optimising AI/ML workflows in a dynamic environment.
  • Qualifications: 5–7 years of backend engineering experience with a strong AI integration background.

The predicted salary is between 80000 - 100000 Β£ per year.

Tether is seeking a Senior Applied ML Engineer to design and build backend systems for a media intelligence platform. This includes architecting scalable services for media ingestion and processing, collaborating with teams, and optimizing AI/ML workflows.

The ideal candidate has 5–7 years of backend engineering experience and a strong background in integrating AI systems. The position emphasizes clean design, reliability, and system performance.

Senior AI Backend Engineer: ML Systems & Scale employer: Tether

Tether is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Edge AI Inference Engineer. With a strong emphasis on employee growth, Tether offers numerous opportunities for professional development and encourages team members to push the boundaries of AI technology in a supportive environment. Located in a vibrant tech hub, employees benefit from a dynamic work atmosphere and access to cutting-edge resources, ensuring that your contributions have a meaningful impact on real-world applications.

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Contact Details:

Tether Recruitment Team

We think you need these skills to ace Senior AI Backend Engineer: ML Systems & Scale

Backend Engineering
AI System Integration
Scalable Service Architecture
Media Ingestion and Processing
Collaboration Skills
AI/ML Workflow Optimisation
Clean Design Principles