Staff Machine Learning Engineer

Altos Labs; Cambridge; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading biotechnology company in Cambridge is seeking a Staff Machine Learning Engineer. This role involves designing large-scale machine learning systems and mentoring engineers. Ideal candidates will have over 8 years of experience, a background in Computer Science, and a passion for collaboration. The company values diversity and encourages applicants from varied backgrounds.

Qualifications

• 8+ years software development experience required.
• Extensive experience with large scale machine learning tools and infrastructure is necessary.
• Proven track record of delivering high quality software.

Responsibilities

• Design and build large-scale machine learning systems and pipelines.
• Mentor software engineers and computational scientists.
• Communicate with users to build systems tailored to their needs.

Skills

Large scale machine learning tools

Software development

Collaboration

Cloud environments

Education

M.S. or Ph.D. in Computer Science

Tools

Machine learning frameworks

Job description

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Staff Machine Learning Engineer, Cambridge

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Client:

Location:

Cambridge, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

638045f66920

Job Views:

43

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

Our Value

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry.

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

Altos Labs is seeking a Staff Machine Learning Engineer who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational Systems Modeling & Scaling team, working in a team of experienced ML and infrastructure engineers to deliver compelling internal platforms, services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.

Responsibilities:

• Designing and building large-scale machine learning systems including data transformation pipelines, feature stores, distributed training, architecture optimization, model management & serving, etc.
• Motivated to build, deploy, and manage systems to accelerate large-scale machine learning workflows in an integrated, usable framework
• Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively
• Demonstrated software engineering skills in developing reliable, scalable, performant systems in a cloud environment
• Champion maintainable, scalable, and reusable software engineering techniques and acts as an ambassador to promulgate tools and practices to the research community.
• Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.

Who You Are

Minimum Qualifications

• M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
• 8+ years software development experience
• Extensive experience with large scale machine learning tools and infrastructure.
• Experience applying software engineering practices in a scientific environment, or another environment with similar characteristics
• Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions.
• Proven track record of delivering high quality software.
• Skilled at working effectively with cross-functional teams, including research and engineering organizations.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Familiarity with biological data formats, concepts, and computational models is a plus

The salary range forCambridge, UK:

Exact compensation may vary based on skills, experience, and location.

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- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What We Want You To Know

We are a culture of collaboration and scientific excellence, and we believe in the values of diversity, inclusion and belonging to inspire innovation.

Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.