Machine Learning Engineer at deep tech industrial AI startup

Jack & Jill/External ATS; Remote; GBP 60,000 - 80,000; Full time

Job summary

An innovative tech startup based in the UK seeks a Machine Learning Engineer to deploy and harden ML components for industrial applications. This role involves owning end-to-end ML pipelines, adapting models to specific data, and collaborating with research teams. Ideal candidates will have a strong background in Python and deep learning frameworks, with proven experience in productionizing ML models. This position is fully remote and offers a chance to impact global energy efficiency significantly.

Qualifications

• Proficient in Python and deep learning frameworks like PyTorch or JAX.
• Strong background in applied ML for time series or operational AI.
• Experience in productionizing ML models with CI/CD integration.

Responsibilities

• Own and deploy end-to-end ML pipelines including data validation and performance monitoring.
• Adapt models to site-specific industrial data.
• Collaborate with research teams to create reliable systems.

Skills

Python

PyTorch

JAX

Docker

Kubernetes

Applied ML

Job description

Machine Learning Engineer – Forward Deployed

Company Description

Deep tech industrial AI startup

Job Description

You will deploy and harden machine learning components in real-world energy and industrial environments. This role bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints. You will ensure the robustness, stability, and explainability of AI systems within complex physical infrastructure and field environments.

Location

Remote

Why this role is remarkable

• Deploy cutting-edge physics-informed ML models that have a direct impact on global energy and industrial efficiency.
• Work at a well-funded startup backed by top-tier VCs, operating at the intersection of deep learning and physical science.
• Lead the transition from lab-based research to production-grade deployments in complex, high-stakes operational environments.

What you will do

• Own and deploy end-to-end ML pipelines including data validation, feature extraction, model serving, and performance monitoring.
• Adapt foundation models and algorithms to site-specific industrial data and infrastructure constraints.
• Collaborate with research teams to translate novel physics-informed methods into production-grade, reliable systems.

The ideal candidate

• Proficient in Python and deep learning frameworks like PyTorch or JAX, with experience in Docker and Kubernetes.
• Strong background in applied ML for time series or operational AI within industrial or energy contexts.
• Proven experience productionising ML models with a focus on CI/CD integration, observability, and system reliability.

Who are Jack & Jill?

Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

Step 1. Visit our website
Step 2. Click 'Talk to Jack'
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs

This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.