Remote engineer in London

Remote engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop innovative AI systems for patient engagement and clinician tools.
  • Company: Join a pioneering health AI company transforming cardiometabolic care.
  • Benefits: Competitive salary, equity participation, and a dynamic work environment.
  • Why this job: Shape the future of healthcare with cutting-edge AI technology.
  • Qualifications: 2+ years in AI/ML engineering or strong project experience; Python proficiency required.
  • Other info: Ground-floor opportunity with access to industry pioneers and strategic guidance.

The predicted salary is between 60000 - 80000 £ per year.

The Challenge

Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models.

The Opportunity

This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health.

As an AI Engineer, you’ll be core to designing and developing patient-facing agentic AI systems. You’ll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You’ll build voice-based intake workflows, patient engagement systems, clinician-facing tooling and more.

Responsibilities

  • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications
  • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness
  • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics
  • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions
  • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations

What we offer

  • Mission-driven work addressing critical public health and healthcare economics challenges
  • Ground-floor opportunity to shape a breakthrough healthcare AI solution
  • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond
  • A fast-paced, dynamic, and highly collaborative work environment
  • Competitive salary and benefits package, including participation in our equity program

Minimum qualifications

  • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome)
  • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline
  • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks)
  • Experience with agent orchestration frameworks (e.g., LangGraph)
  • Strong software engineering fundamentals such as writing clean code, version control, testing
  • Excellent communication skills and comfort working in fast-paced, cross-functional teams

Preferred qualifications

  • Experience building voice AI or conversational AI systems
  • Experience with patient-facing systems
  • Familiarity with cloud infrastructure (GCP, AWS, or Azure)
  • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review)

About the Venture

We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides:

  • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies
  • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth
  • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology)
  • Expert Network: Established connections across pharma, payers, and providers
  • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact

PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

Remote engineer in London employer: Onsera Health

At Onsera Health, we are committed to revolutionising cardiometabolic care through innovative AI solutions, making us an exceptional employer for those passionate about impactful healthcare. Our dynamic and collaborative work culture fosters creativity and growth, offering employees the chance to shape groundbreaking technologies while enjoying competitive salaries and equity participation. Join a world-class team backed by industry leaders, where your contributions will directly influence public health outcomes in a fast-paced, mission-driven environment.
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Contact Detail:

Onsera Health Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Remote engineer in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their mission, and be ready to discuss how your skills in AI/ML can contribute to their goals. We want you to shine, so practice common interview questions and have your own questions ready to show your interest.

✨Tip Number 3

Showcase your projects! If you've worked on any relevant AI systems or voice-based applications, make sure to highlight them during your conversations. We love seeing real-world examples of your work, so don’t hold back!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make a difference in population health management, so don’t hesitate to hit that apply button!

We think you need these skills to ace Remote engineer in London

AI/ML Engineering
Software Engineering
Python Proficiency
LLM Development
Prompt Engineering
Agent Orchestration Frameworks
Clean Code Practices
Version Control
Testing
Communication Skills
Cross-Functional Team Collaboration
Voice AI Systems
Cloud Infrastructure (GCP, AWS, Azure)
Evaluation and Safety Tooling for LLMs

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with AI/ML, Python, and any relevant projects that showcase your skills. We want to see how you fit into our mission!

Showcase Your Projects: If you've worked on any cool AI projects, especially those involving voice-based systems or patient engagement tools, make them stand out! We love seeing practical applications of your skills, so don’t hold back.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. Remember, we want to understand your journey without getting lost in jargon!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Onsera Health

✨Know Your AI Inside Out

Make sure you brush up on your AI/ML knowledge, especially around LLMs and agent orchestration frameworks. Be ready to discuss your hands-on experience with Python and any projects you've worked on that relate to voice AI or conversational systems.

✨Understand the Clinical Context

Since you'll be working closely with clinical teams, it's crucial to understand the healthcare landscape and the specific challenges related to cardiometabolic conditions. Familiarise yourself with how AI can improve patient engagement and safety in this context.

✨Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and coding abilities. Practice coding challenges and be prepared to explain your thought process clearly, as communication is key in cross-functional teams.

✨Show Your Passion for Impact

This role is about making a difference in population health management. Be ready to share why you're passionate about using AI to tackle public health issues and how you envision contributing to transformative solutions at Onsera Health.

Remote engineer in London
Onsera Health
Location: London

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