Job Detail

Founding ML Engineer (£95K + Equity) at Klaris

Data Science and AI Full–time
ID: #10519
Posted: 2026-03-18
Salary

Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Founding ML Engineer Salary: £95K + Equity Company Description: Klaris - NHS-backed AI platform transforming MedTech compliance Job Description: As the first ML hire, you will build the foundational data and MLOps flywheel for a safety-critical MedTech platform. You'll move beyond wrappers to develop custom algorithms and agentic RAG workflows that automate complex regulatory documentation. This is a high-impact, 0-to-1 role helping lifesaving medical devices reach patients faster through sophisticated automation. Location: London, UK Why this role is remarkable: • Founding-level impact: You aren't just joining a company; you are architecting the technical culture and ML strategy from the ground up alongside a PhD CTO. • Strong backing and traction: Supported by an NHS-affiliated VC, Antler, and Vento Ventures, Klaris already has pilot programs converting into paid enterprise customers. • Mission-driven innovation: Your work directly accelerates the deployment of lifesaving medical technologies by solving the massive, manual bottleneck of regulatory compliance. What you will do: • Architect and scale production-grade MLOps infrastructure including CI/CD pipelines, monitoring, and model versioning using tools like MLflow or Weights & Biases. • Develop and productionize advanced LLM solutions, including agentic workflows, RAG pipelines, and knowledge graphs to process complex regulatory documents. • Lead the end-to-end data strategy, from building ETL pipelines and OCR tasks to fine-tuning models for safety-critical healthcare applications. The ideal candidate: • 4+ years of proven experience in MLOps and NLP, with a track record of turning experimental algorithms into robust, scalable software products. • Deep technical proficiency in the Python ecosystem, specifically with FastAPI, Pydantic, vector databases, and containerization tools like Docker or Kubernetes. • Founding team DNA: A high-agency builder who thrives in ambiguity and can make independent architectural decisions without needing established structure. 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.

Hard Skills 12
Skill Source Confidence
MLOps llm_hard
100%
Python llm_hard
100%
Docker llm_hard
100%
Kubernetes llm_hard
100%
Large Language Models (LLMs) llm_hard
100%
ETL Pipelines llm_hard
100%
Data Pipelines llm_hard
100%
NLP llm_hard
100%
Fine-tuning Models llm_hard
100%
RAG (Retrieval-Augmented Generation) llm_hard
100%
Model Deployment llm_hard
100%
Git llm_hard
80%
Soft Skills 5
Skill Source Confidence
Technical Writing llm_soft
80%
Documentation llm_soft
80%
Decision-Making llm_soft
80%
Time Management llm_soft
80%
Self-Management llm_soft
80%
Apply Options
Publisher Direct Link
LinkedIn No Apply
Talents By StudySmarter No Apply
Job Search Place UK No Apply
Jobrapido No Apply
AI Jobs At Companies Building With AI Yes Apply
LinkedIn No Apply
API Logs for this Job
Query Country Status Response ms Created
machine learning engineer in London, UK gb duplicate 9358 2026-03-28 10:08
Founding ML Engineer (£95K + Equity) at Klaris extracted 4974 2026-03-22 02:26
Founding ML Engineer (£95K + Equity) at Klaris classified 486 2026-03-21 21:00
junior deep learning engineer in London gb duplicate 8628 2026-03-21 17:11
junior AI engineer in London gb duplicate 14347 2026-03-21 17:04
junior ML engineer in London gb duplicate 10686 2026-03-21 17:01
junior ML engineer in United Kingdom gb duplicate 22049 2026-03-21 17:00
junior machine learning engineer in London gb duplicate 9822 2026-03-21 16:57
junior machine learning engineer in United Kingdom gb processed 9050 2026-03-21 16:57
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  "job_description": "This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.\n\nShe will pick the best candidates from Jack's network\n\nThe next step is to speak to Jack.\n\nFounding ML Engineer\n\nSalary: £95K + Equity\n\nCompany Description: Klaris - NHS-backed AI platform transforming MedTech compliance\n\nJob Description:\n\nAs the first ML hire, you will build the foundational data and MLOps flywheel for a safety-critical MedTech platform. You'll move beyond wrappers to develop custom algorithms and agentic RAG workflows that automate complex regulatory documentation. This is a high-impact, 0-to-1 role helping lifesaving medical devices reach patients faster through sophisticated automation.\n\nLocation: London, UK\n\nWhy this role is remarkable:\n• Founding-level impact: You aren't just joining a company; you are architecting the technical culture and ML strategy from the ground up alongside a PhD CTO.\n• Strong backing and traction: Supported by an NHS-affiliated VC, Antler, and Vento Ventures, Klaris already has pilot programs converting into paid enterprise customers.\n• Mission-driven innovation: Your work directly accelerates the deployment of lifesaving medical technologies by solving the massive, manual bottleneck of regulatory compliance.\n\nWhat you will do:\n• Architect and scale production-grade MLOps infrastructure including CI/CD pipelines, monitoring, and model versioning using tools like MLflow or Weights & Biases.\n• Develop and productionize advanced LLM solutions, including agentic workflows, RAG pipelines, and knowledge graphs to process complex regulatory documents.\n• Lead the end-to-end data strategy, from building ETL pipelines and OCR tasks to fine-tuning models for safety-critical healthcare applications.\n\nThe ideal candidate:\n• 4+ years of proven experience in MLOps and NLP, with a track record of turning experimental algorithms into robust, scalable software products.\n• Deep technical proficiency in the Python ecosystem, specifically with FastAPI, Pydantic, vector databases, and containerization tools like Docker or Kubernetes.\n• Founding team DNA: A high-agency builder who thrives in ambiguity and can make independent architectural decisions without needing established structure.\n\nWho are Jack & Jill?\n\nOk, 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.\n\nAnd 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.\n\nNext steps\n\nStep 1. Visit our website.\n\nStep 2. Click 'Talk to Jack'.\n\nStep 3. Talk to Jack so he can understand your experience and ambitions.\n\nStep 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.\n\nStep 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.\n\nStep 6. If not, Jack will find you excellent alternatives. All for free.\n\nWe never post fake jobs\n\nThis isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.\n\nSometimes 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.\n\nWe appreciate this can make them look a bit suspect, but there isn't much we can do about it.\n\nGive 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.",
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