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For Companies 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: Collaborate with industry leaders and make a real impact on public health.
The predicted salary is between 36000 - 60000 £ 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 revolutionising 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.
Artificial Intelligence Engineer in City of London employer: Onsera Health
Contact Detail:
Onsera Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to voice-based systems or patient engagement tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders. We recommend doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission-driven team at Onsera Health.
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML, Python proficiency, and any relevant projects. We want to see how your skills align with our mission at Onsera Health!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI in healthcare and how you can contribute to transforming population health management. Let us know why you're excited about this opportunity!
Showcase Your Projects: If you've worked on any AI/ML projects, especially those involving voice-based systems or patient engagement tools, make sure to showcase them. We love seeing practical applications of your skills!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at Onsera Health
✨Know Your AI Stuff
Make sure you brush up on your AI and 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-based or patient-facing systems.
✨Understand the Company’s Mission
Dive deep into Onsera Health's mission and the challenges they aim to tackle in cardiometabolic care. Showing that you understand their goals and how your skills can contribute will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI systems. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Collaboration Skills
Since the role involves working closely with Clinical, Product, and Engineering teams, be prepared to share examples of how you've successfully collaborated in cross-functional teams. Highlight your communication skills and adaptability in fast-paced environments.