

Senior ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ML Engineer, offering £750/day for a 6+ month remote contract in the UK. Key skills include deep learning model optimization, proficiency in PyTorch and TensorFlow, and 7+ years of ML engineering experience, particularly with edge or custom silicon.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
-
🗓️ - Date discovered
June 5, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
Remote
-
📄 - Contract type
Fixed Term
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Model Optimization #Deployment #TensorFlow #AI (Artificial Intelligence) #C++ #Python #Deep Learning #Cloud #PyTorch #ML (Machine Learning) #Neural Networks
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
| Senior ML Engineer | £750/day | Remote | 6 Months+ | UK |
We're hiring a very senior Machine Learning Engineer to lead model optimization for a cutting-edge AI hardware platform built for high-performance edge inference.
Backed by $200M+ in funding, this stealth-mode startup is reimagining how AI runs in real-time; on-device, energy-efficient, and cloud-free.
What You'll Do
• Optimize and deploy deep learning models on custom accelerators (e.g. Digital In-Memory Computing)
• Apply advanced techniques: quantization, pruning, compression
• Work across frameworks (PyTorch, TensorFlow, ONNX, OpenVINO, TVM)
• Collaborate with hardware, compiler, and embedded teams
• Benchmark and validate performance in real-world edge scenarios (CV, robotics, industrial AI)
What You Bring
• 7+ years in ML engineering, with deep expertise in model optimization for edge or custom silicon
• Strong knowledge of neural networks, hardware-aware inference, and deployment pipelines
• Hands-on with embedded inference toolchains and performance profiling
• Python, C++, and a mindset for getting things running fast and efficiently
| Senior ML Engineer | £750/day | Remote | 6 Months+ | UK |
RSG Plc is acting as an Employment Business in relation to this vacancy.