Senior Machine Learning Engineer at Relay Technologies
At a glance
- Company
- Relay Technologies
- Location
- London, GB, United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Relay Technologies job
- 🏢 This is Relay Technologies's only job here right now
- 📊 13 Machine Learning Engineer jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Relay Technologies if it is above the minimum.
Updated 2026-11-01, from our data and official sources.
Apply for this role at Relay Technologies
About the role
Responsibilities:
- Own end-to-end productionisation of ML models: training pipelines, model serving, integration, and measuring business impact.
- Design and evolve the ML platform and serving architecture to improve reliability, throughput and reusability.
- Implement automated releases, drift detection/monitoring and integration/system tests within training pipelines.
- Collaborate with data scientists to improve model robustness, launch new workflows, and iterate based on real-world metrics.
- Write and maintain high-quality code across languages (Python/Rust) and dive into unfamiliar codebases to ship features.
Requirements:
- Minimum ~2 years operating ML models in production and ~4+ years building production software on strong teams.
- Demonstrable experience with model serving, training pipelines, monitoring, and automation.
- Comfortable working with Python and Rust and deploying models (ONNX) where throughput matters.
- Experience with cloud-native GCP tooling, Kubernetes, BigQuery and feature stores (e.g., Chalk.ai) is preferred.
- Strong engineering mindset: testability, automation, measurable impact, and continuous improvement.
Responsibilities
Own productionising ML models end-to-end, build and mature Relay's ML Platform, and ensure reliable model deployment with drift monitoring and automated releases.
Requirements
Minimum 2+ years deploying/operating models in production and 4+ years building software on high-performing teams. Comfortable diving into unfamiliar codebases/languages to ship models; strong preference for automation over manual work.
Key skills
- Python — in 1142 other listings on The Stack
- Rust — in 81 other listings on The Stack
- ONNX — not in any other listing on The Stack
- Chalk.ai — not in any other listing on The Stack
- GCP — in 163 other listings on The Stack
- Kubernetes — in 559 other listings on The Stack
- BigQuery — in 58 other listings on The Stack
- model serving — in 9 other listings on The Stack
- training pipelines
- drift monitoring
- automated releases
- ML platform
On The Stack (as of 2026-11-01)
- This is Relay Technologies's only listing on The Stack.
- 204 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
- 27 visa-sponsored machine learning engineer jobs in Europe on The Stack, posted in the last 60 days.
Frequently asked questions about Relay Technologies
Is this Senior Machine Learning Engineer role still open?
It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on Relay Technologies's application page before applying.
Does Relay Technologies offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Relay Technologies's site.
Where is this role located?
The listing gives the location as London, GB, United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: Python, Rust, ONNX, Chalk.ai, GCP, Kubernetes, BigQuery, model serving, training pipelines, drift monitoring, automated releases, ML platform.