Senior ML Engineer: On-Site Deployment & Customer Impact

PhysicsX; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity options

10% employer pension

Free office lunches

Enhanced parental leave

25 days annual leave

Private medical insurance

Cycle to work

Job summary

PhysicsX is hiring a Senior Machine Learning Engineer in Delivery to lead end-to-end ML model deployments, collaborate with customers and cross-functional teams, and shape scalable data pipelines for industrial applications.

You'll work with Python, PyTorch, and Kubeflow across cloud and on-prem environments, traveling to customer sites to deliver measurable impact and guide product direction with evidence.

Qualifications

• 3+ years industry experience in a commercial environment.
• Ability to lead complex ML deployments and mentor others.
• Experience embedding AI models into customer tools.

Responsibilities

• Own deployment of ML models and surrogates to customer environments.
• Define success metrics and influence product direction with data.
• Lead scoping and architecture for data/ML systems; build robust pipelines.
• Mentor engineers and data scientists; collaborate with customers on-site.

Skills

Leadership

Customer collaboration

ML pipelines

3D data experience

Tools

Python

PyTorch

Pandas

fastAPI

Scipy

Kubeflow

Job description

PhysicsX is hiring a Senior Machine Learning Engineer in Delivery to lead end-to-end ML model deployments, collaborate with customers and cross-functional teams, and shape scalable data pipelines for industrial applications.

You'll work with Python, PyTorch, and Kubeflow across cloud and on-prem environments, traveling to customer sites to deliver measurable impact and guide product direction with evidence.