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- Tasks: Deploy machine learning models and integrate AI features into products.
- Company: Join Tether, a leader in the digital finance revolution.
- Benefits: Enjoy 100% remote work and collaborate with top industry talent.
- Why this job: Be part of groundbreaking projects that shape the future of fintech.
- Qualifications: Degree in Computer Science or related fields; proficiency in Python and C/C++ required.
- Other info: Work with cutting-edge technologies and contribute to AI accessibility.
The predicted salary is between 36000 - 60000 £ per year.
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Senior AI Inference Engineer (100% Remote – United Kingdom), London
Location:
London, European Union
Job Category:
Information Technology
Job Reference:
6mn2nk87
Job Views:
1
Posted:
18.07.2025
Expiry Date:
01.09.2025
Job Description:
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our solutions empower businesses to seamlessly integrate reserve-backed tokens across blockchains, enabling secure, instant, and global digital transactions with transparency and trust.
Why Join Us?
Our remote team is a global talent pool dedicated to innovation in fintech. If you have excellent English communication skills and a passion for technology, Tether offers a unique opportunity to contribute to groundbreaking projects and work with some of the brightest minds in the industry.
About the role:
We are committed to making advanced AI technologies accessible. Our AI team focuses on building models for a range of applications, from large-scale to edge devices, ensuring broad accessibility and privacy.
Responsibilities:
- Deploy machine learning models to edge devices using frameworks like Llama.cpp, ONNX, TVM, MLC LLM, and IREE.
- Collaborate with researchers to code, train, and transition models from research to production.
- Integrate AI features into existing products, leveraging the latest in machine learning advancements.
- Proficiency in Python and C/C++ programming.
- Experience with deployment platforms and frameworks such as Llama.cpp, ONNX, TVM, MLC LLM, IREE (MLIR).
- Knowledge of NLP, transformers, fine-tuning, computer vision, TensorFlow, PyTorch, JAX, CUDA.
- Experience with LLMs, fine-tuning, RAG, transformers is a plus.
- Ability to quickly learn new technologies.
- Degree in Computer Science, AI, Machine Learning, or related fields, with a strong AI R&D background.
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Senior AI Inference Engineer (100% Remote - United Kingdom) employer: Bitfinex
Contact Detail:
Bitfinex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Inference Engineer (100% Remote - United Kingdom)
✨Tip Number 1
Familiarise yourself with the specific frameworks mentioned in the job description, such as Llama.cpp and ONNX. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Engage with the AI and fintech communities online. Join forums, attend webinars, or participate in discussions on platforms like LinkedIn. This not only helps you stay updated but also allows you to network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving machine learning models and their deployment. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Showcase your passion for technology and continuous learning. Mention any recent courses, certifications, or personal projects related to AI and machine learning during your conversations. This reflects your commitment to staying at the forefront of the industry.
We think you need these skills to ace Senior AI Inference Engineer (100% Remote - United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on your proficiency with Python, C/C++, and any frameworks mentioned in the job description like Llama.cpp and ONNX.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and innovation in fintech. Mention specific projects or experiences that align with Tether's mission and the responsibilities of the role.
Highlight Relevant Skills: In your application, emphasise your knowledge of NLP, transformers, and deployment platforms. Provide examples of how you've successfully integrated AI features into products in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your communication is clear and professional, reflecting your excellent English skills as required by Tether.
How to prepare for a job interview at Bitfinex
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, C/C++, and the specific frameworks mentioned in the job description. Highlight any projects where you've deployed machine learning models or worked with NLP and computer vision.
✨Demonstrate Your Problem-Solving Abilities
Tether values innovation, so be ready to share examples of how you've tackled complex problems in previous roles. Discuss your approach to transitioning models from research to production and any challenges you faced.
✨Communicate Clearly and Effectively
Since excellent English communication skills are essential, practice explaining technical concepts in a clear and concise manner. This will help you connect with the interviewers and demonstrate your ability to collaborate with researchers.
✨Express Your Passion for Technology
Show enthusiasm for the fintech industry and the role of AI in shaping its future. Share your thoughts on current trends and how you see yourself contributing to Tether's mission of making advanced AI technologies accessible.
