Machine Learning Engineer β€” Production AI & Safety

Machine Learning Engineer β€” Production AI & Safety

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement production-grade ML solutions for real-world projects.
  • Company: Join Faculty Science Limited, a leader in innovative AI solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real impact by developing cutting-edge machine learning systems.
  • Qualifications: Experience with ML lifecycles, Python, and cloud platforms required.

The predicted salary is between 72000 - 88000 Β£ per year.

Faculty Science Limited is seeking a Machine Learning Engineer to bring production-grade ML solutions to real-world client projects. You will help design scalable software architectures, validate technical feasibility, and ensure timely delivery of high-quality ML systems in collaboration with cross-functional teams.

The role requires hands-on experience with ML lifecycles, Python, cloud platforms, and container orchestration, along with the ability to communicate complex concepts to both technical and non-technical stakeholders.

Machine Learning Engineer β€” Production AI & Safety employer: Faculty Science Limited

At Faculty Science Limited, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team enjoys a range of benefits including professional development opportunities, flexible working arrangements, and the chance to work on impactful projects in a vibrant location. Join us to advance your career in machine learning while contributing to meaningful solutions that make a difference.

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Contact Details:

Faculty Science Limited Recruitment Team

We think you need these skills to ace Machine Learning Engineer β€” Production AI & Safety

Machine Learning
Software Architecture Design
Technical Feasibility Validation
Project Delivery
Cross-Functional Collaboration
ML Lifecycle Management
Python