ML Engineer
Remote
As an ML Engineer, you’ll be responsible for developing, deploying, and optimizing machine learning models in real-world applications. You’ll work closely with data scientists and software engineers to integrate ML solutions into production environments while ensuring performance, scalability, and efficiency.
In a startup setting, you’ll need to bridge the gap between research and deployment. Whether it’s improving model inference speed, automating retraining pipelines, or monitoring for model drift, your expertise in MLOps and software engineering will be key to delivering AI-powered solutions that drive business impact.
Responsibilities
- Model deployment
- MLOps
- Data pipeline optimization
- Performance tuning
- AI-driven application development
Must Have
- Feature engineering.
- Python
- TensorFlow/PyTorch
- Cloud AI services
- CI/CD for ML
Nice To Have
- Reinforcement learning
- Edge AI, Generative models
- GPU acceleration
- Distributed ML training
What We Offer
Join the most exciting startups in the UK, working on cutting-edge technology with teams that move fast and break barriers. No corporate nonsense, just real impact. You’ll tackle challenging projects, shape products from the ground up, and work remotely with amazing teams—while getting paid what top talent deserves.
Bleeding-Edge Tech
Work with the latest tools, frameworks, and architectures that push the industry forward.
Real Impact
Your work won’t sit in a backlog—it will shape products used by thousands (or millions).
Flexibility & Freedom
Fully remote work with the autonomy to own your projects and drive innovation.
Top-Tier Pay
Competitive rates that match your expertise—because talent deserves to be rewarded.