Senior ML Engineer, Delivery & Customer Impact

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

Benefits offered by this job

Equity options

9% employer pension contribution

Free office lunches

Enhanced parental leave

Nursery scheme

25 days annual leave (+ Public Holiday

Private medical insurance

Wellhub Subscription

Eye tests

Personal development

EAP

Bike2Work scheme

Season ticket loan

Octopus EV salary sacrifice

Job summary

PhysicsX Ltd. is recruiting a Senior Machine Learning Engineer in Delivery to lead end‑to‑end ML deployments, working with Data Scientists, Simulation Engineers and customers. You will drive architectural decisions, define metrics, and ensure reliable production solutions across cloud and on‑prem environments.

You will mentor teams, shape technical direction, and frequently travel to customer sites, delivering practical AI-enabled outcomes with a focus on impact and scale.

Qualifications

• Shipped ML systems end-to-end at scale.
• Experience mentoring engineers and data scientists.
• Willing to travel internationally to client sites.

Responsibilities

• Own deployment of ML models and surrogates to production environments.
• Communicate results and trade-offs to senior stakeholders; influence roadmaps with evidence.
• Lead scoping and architecture for data/ML systems; define success metrics and plans.
• Build robust ML pipelines and APIs for cloud and on‑prem deployment.
• Mentor engineers and data scientists; provide technical direction and calm decision-making.

Skills

Python

ML deployment

Customer collaboration

Team leadership

Tools

PyTorch

Pandas

fastAPI

Scipy

Kubeflow

Job description

PhysicsX Ltd. is recruiting a Senior Machine Learning Engineer in Delivery to lead end‑to‑end ML deployments, working with Data Scientists, Simulation Engineers and customers. You will drive architectural decisions, define metrics, and ensure reliable production solutions across cloud and on‑prem environments.

You will mentor teams, shape technical direction, and frequently travel to customer sites, delivering practical AI-enabled outcomes with a focus on impact and scale.