Senior AI/ML Engineer

Amplifirm
Charing Cross, United Kingdom
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 48K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Audio Signal Processing
Distributed Systems
Python
Machine Learning
Large Language Models
Natural Language Understanding

Job description

We are seeking an experienced AI/ML Engineer to architect and build the core intelligence systems that power our voice AI platform. You will be responsible for developing production-grade machine learning systems that handle real-time voice processing, optimize operational costs through intelligent routing and resource allocation, and enable continuous learning across our multi-tenant architecture while preserving privacy.

This role requires someone who can translate cutting-edge research into robust production systems that process millions of requests monthly. You will work directly with our technical leadership to design and implement novel approaches to cost optimization, quality management, and intelligent orchestration of AI services. Your work will be fundamental to our competitive advantage and technical differentiation in the market.

Requirements

Do you have experience in Python?, You should have five or more years of experience in machine learning and AI engineering, with a proven track record of deploying production ML systems at scale. Deep expertise with large language models and modern AI frameworks is essential, as is strong proficiency in Python and distributed systems architecture. We're looking for someone who has successfully built and maintained ML systems that handle real-world production loads, with experience in cost optimization, real-time inference, and asynchronous processing.

Experience with voice or audio processing, natural language understanding, conversational AI systems, or real-time streaming architectures would be highly valuable. Familiarity with European data regulations and privacy-preserving machine learning techniques is a significant plus. We value candidates who have worked in startup environments and understand the pace and adaptability required in early-stage companies.

Apply for this position