At a Glance
- Tasks: Design and implement production-grade ML systems for real-world applications.
- Company: Join Faculty Science Limited, a leader in innovative AI solutions.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for growth.
- Other info: Collaborate with diverse teams in a fast-paced, dynamic environment.
- Why this job: Make a tangible impact by shaping the future of AI technology.
- Qualifications: Experience with ML frameworks like TensorFlow or PyTorch is essential.
The predicted salary is between 72000 - 88000 £ per year.
Faculty Science Limited is hiring a Machine Learning Engineer to bring production-grade ML into real-world client solutions.
You will help shape scalable software architecture, define best practices for deployment and work with cross-functional teams to ensure timely delivery of high-quality ML systems.
You will operate across the full ML lifecycle, applying frameworks like Tensor Flow or Py Torch, and leverage cloud platforms and container orchestration to deploy at scale.
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Production ML Engineer - Real-World AI Systems employer: Faculty Science Limited
At Faculty Science Limited, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of machine learning. Our vibrant work culture encourages continuous learning and professional growth, offering employees the chance to work on cutting-edge projects in a supportive environment. Located in a dynamic tech hub, we provide unique opportunities for career advancement while ensuring a healthy work-life balance.
