- 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.
- 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.
- 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.
- Only for registered members London Full time
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This is a job that Jill, · Jill's client's AI Recruiter, · is recruiting for on behalf of one of her customers. · You will deploy and harden machine learning components in real-world energy and industrial environments. · This role bridges the gap between research and production b ...
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. · ...
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Lead the design and execution of a comprehensive people strategy as this deep tech company scales. · ...
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This is a job that bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints. · ...
- Only for registered members London Full time £70,000 - £80,000 (GBP)
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. The next step is to speak to Jack. · ...
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Machine Learning Engineer at deep tech industrial AI startup - London - Jack & Jill/External ATS
Description
Machine Learning Engineer – Forward DeployedWant to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
Company Description
Deep tech industrial AI startup
Job DescriptionYou 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.
LocationRemote
Why this role is remarkableOk, 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 stepsStep 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.
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. xpwpeyx If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
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