Applied AI/ML Engineer: Deploy Global Impact

Applied AI/ML Engineer: Deploy Global Impact

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Doist

At a Glance

  • Tasks: Deploy cutting-edge AI models and create impactful solutions for global challenges.
  • Company: Brain Co., an innovative applied AI startup transforming industries.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and global impact.
  • Why this job: Join a mission-driven team and make a real difference with AI technology.
  • Qualifications: Experience in AI/ML and a passion for solving complex problems.

The predicted salary is between 60000 - 80000 Β£ per year.

Brain Co. is an applied AI startup building an AI platform and applications for governments, healthcare, and energy.

As an AI/ML Engineer, you will deploy state-of-the-art models, turn research breakthroughs into practical solutions, and own end-to-end AI initiatives with cross-functional teams.

You will design scalable data pipelines, optimize models for production, and collaborate with founders, researchers, and engineers to deliver AI-powered solutions at global scale.

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Applied AI/ML Engineer: Deploy Global Impact employer: Doist

Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.

Doist

Contact Details:

Doist Recruitment Team

We think you need these skills to ace Applied AI/ML Engineer: Deploy Global Impact

AI/ML Model Deployment
Data Pipeline Design
Model Optimisation
Cross-Functional Collaboration
Research Implementation
Scalability Solutions
End-to-End AI Initiative Management