SR2
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, contracted for 6–12 months, UK-based, with a competitive day rate. Key skills include Python, deep learning (PyTorch/TensorFlow), and advanced ML experience. Active SC or DV clearance is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
April 8, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
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🔒 - Security
Yes
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Deployment #ML (Machine Learning) #TensorFlow #Deep Learning #PyTorch #Neural Networks #R #Python
Role description
Contract ML Engineers – R&D OR Edge Deployment (SC/DV Cleared)
UK-Based | 6–12 Months | Outside IR35 | Competitive Day Rate
This is ML work at the point where research meets reality.
You’ll be supporting programmes focused on autonomous and defence systems, working across either:
R&D / Neural Network Development
Improving model performance at architecture level
Working on advanced concepts (e.g. spiking neural networks)
Deep technical ML problem solving
Deployment / Integration
Running models on edge / constrained hardware
Optimising inference (TensorRT, compression, etc.)
Integrating into real-world systems
Across both, you’ll need:
Strong Python + deep learning experience (PyTorch / TensorFlow)
Proven experience either in advanced ML development OR deployment
Ability to deliver in complex, real-world environments
Must hold active SC or DV clearance
6–12 months (likely extensions as projects scale)
UK-based
If you’re a cleared ML engineer and want to work on projects where performance and deployment actually matter - this is worth a conversation.
Contract ML Engineers – R&D OR Edge Deployment (SC/DV Cleared)
UK-Based | 6–12 Months | Outside IR35 | Competitive Day Rate
This is ML work at the point where research meets reality.
You’ll be supporting programmes focused on autonomous and defence systems, working across either:
R&D / Neural Network Development
Improving model performance at architecture level
Working on advanced concepts (e.g. spiking neural networks)
Deep technical ML problem solving
Deployment / Integration
Running models on edge / constrained hardware
Optimising inference (TensorRT, compression, etc.)
Integrating into real-world systems
Across both, you’ll need:
Strong Python + deep learning experience (PyTorch / TensorFlow)
Proven experience either in advanced ML development OR deployment
Ability to deliver in complex, real-world environments
Must hold active SC or DV clearance
6–12 months (likely extensions as projects scale)
UK-based
If you’re a cleared ML engineer and want to work on projects where performance and deployment actually matter - this is worth a conversation.
