Techmunity | AI Startup Recruitment
Machine Learning Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Forward Deployed ML Engineer
Fully remote, UK | Occasional customer travel
£110,000–£130,000 + equity
Are you an experienced ML Engineer who wants to build technology that reduces energy waste and carbon emissions in the industries that keep the world running?
This Series A AI company has built a physics-grounded platform for energy operations, helping industrial sites make safer, faster and more efficient decisions from their operational data. They've recently raised $20m and are scaling deployments with global energy operators.
About the Role
As a Forward Deployed ML Engineer, you’ll work in a small pod with Full Stack and Data Engineers to make the core platform work in live customer environments.
You’ll take ML systems from model development into trusted production services, deploying APIs and containerised workloads, tuning time-series and anomaly-detection models, and improving RAG and agent workflows where retrieval quality, data quality or reliability falls short.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You’ll work directly with process engineers, solve difficult production issues and feed customer learning back into the product.
You’ll be supported by leaders spanning Imperial AI research, Shell’s global AI programme and 25 years of real-time energy data and AI deployments.
Requirements
- A track record of taking ML models from development into reliable production services, including API design, Dockerised deployment and Kubernetes or similar orchestration
- Practical experience building LLM or RAG systems, with an understanding of the real challenges around data quality, chunking, retrieval precision, evaluation and production reliability
- Experience working with complex data, particularly time series, 2D/3D or other high-dimensional datasets, and the judgement to explain why a particular modelling approach was appropriate
- Strong Python and deep learning experience, ideally PyTorch, plus FastAPI or similar frameworks for ML services
- The ability to explain model behaviour and technical trade-offs clearly to engineers, customers and domain experts
Get help with your application
Your very own career expert that helps elevate your application to the next level.
This Forward Deployed ML Engineer role is paying between £110,000 to £130,000 + equity depending on experience, and is fully remote for UK residents. No VISA sponsorship available.
Apply Now
Apply now or email reuben@techmunity.io for more information.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location