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
As a leading player in the AI Safety sector, our company offers a dynamic work environment where innovation thrives and employees are encouraged to grow their expertise in cutting-edge AI technologies. Located in a vibrant area, we provide competitive benefits, a collaborative culture, and ample opportunities for professional development, making it an ideal place for those passionate about making a meaningful impact in the industry.
