Senior Machine Learning Engineer - Life Sciences at Acquisition-stage applied AI pioneer
Indexed description
The next step is to speak to Jack.
Job Title
Senior Machine Learning Engineer - Life Sciences
Salary
Not Disclosed
Company Description
Acquisition-stage applied AI pioneer and Decision Intelligence leader recognized by Gartner
Job Description
Lead the development and deployment of production-grade AI systems for global pharmaceutical firms and MedTech innovators. You will architect scalable MLOps infrastructure, design end-to-end pipelines, and mentor junior engineers within a PhD-heavy team. This role bridges the gap between sophisticated machine learning research and reliable, real-world healthcare impact at scale.
Location
London, UK
Why this role is remarkable
- Work at the intersection of AI and healthcare, building solutions that accelerate drug discovery and clinical trial optimization for major pharma firms.
- Join a high-caliber team with deep technical rigor, including many PhDs, in a company recently recognized by Gartner as a Visionary in Decision Intelligence.
- Benefit from the resources of a global acquisition while maintaining a high-autonomy engineering culture that values technical depth and responsible AI.
- Lead technical scoping and architectural decisions for high-impact ML systems using Python, Docker, and Kubernetes.
- Design and build production-grade infrastructure on cloud platforms like AWS, Azure, or GCP to manage applications at scale.
- Act as a trusted technical advisor to senior stakeholders, translating complex AI concepts into actionable clinical and commercial strategies.
- Extensive experience operationalizing machine learning models built with frameworks like TensorFlow or PyTorch within a production environment.
- Deep software engineering foundations with professional proficiency in Python and modern CI/CD workflows for machine learning (MLOps).
- Proven ability to lead projects in fast-paced environments, such as startups or consultancies, with strong communication skills for client-facing engagement.
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 the job listing.
Step 2. Click 'Talk to Jack', or go straight there: https://www.jackandjill.ai/jobs/senior-machine-learning-engineer-life-sciences-at-acquisition-stage-applied-ai-p-15ec3593-9e03-4851-acbd-3a9bb1e0720f?utm_source=linkedin&utm_medium=job_post&utm_campaign=featured_role_15ec3593-9e03-4851-acbd-3a9bb1e0720f
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.
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