An impressive opportunity to work as a Senior Machine Learning Engineer has arisen for an exciting start-up company and their incredible team. This role is a marvellous opportunity to help develop machine learning models and algorithms to assist in the data analysis of medical imaging. The company are in the process of producing ground-breaking work towards their fundamental goal of diagnosing and treating cancer at its most actionable and early stages. This role will provide the opportunity to work to work alongside experienced healthcare professionals and with clinical healthcare data. As well as, working hard with other software and training computers to recognise and understand medical imaging data and subsequently make streamlined decisions based on the data from said images. If you have strong experience in machine learning, specifically in medical image analysis the please read below. Responsibilities: <ul><li>Work across different aspects of machine learning research, assisting in developing ML models and analysing medical imaging data</li><li>Combine divergent tooling around medical images to form united pipelines and software solutions </li><li>Produce algorithms for medical image analysis to detect patterns and trends in cancer growth</li><li>Improving the accuracy of already deployed ML models by implementing superior MLOps</li><li>Facilitate data driven science discoveries in biology and healthcare</li><li>Build for significant growth and having the ability to scale challenges – achieving a high degree of robustness and performance</li></ul> Background: <ul><li>M.Sc in computer science or engineering </li><li>A developed understanding of machine learning and computer vision, including MLOps</li><li>Acute coding skills in Python and other programming languages </li><li>Knowledge of object-oriented-programming and software architectures in C++ / Java / C#</li><li>Experience in cloud-based computing settings </li><li>Strong understanding and excellent skills in Linux, shell scripting, containerization etc. </li><li>An ability to write clear code along with capability to assess and devise software requirements </li><li>Fluent professional level English along with personable communication skills </li><li>Technical curiosity and adventure around applying machine learning in healthcare, looking to push the boundaries of science!</li></ul> Desired experience: <ul><li>Ph.D. in relevant area</li><li>Understanding of PyTorch, Tensorflow and platforms like TFX, Neptune.ai, MLflow, Weights & biases etc. </li><li>Previous experience working in computer vision or machine learning </li><li>Knowledge of digital pathology </li><li>Awareness and prior experience in Life Science and/or computational biology </li></ul> Following your application Mark Njiriri, a specialist AI recruiter will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

** ML Engineer (AI 4 Chemistry) - New Opportunity - San Francisco/Hybrid **
I'm seeking a  Chemistry Machine Learning Engineer / Cheminformatics ML Scientist  to join my client in building AI systems that replace lab and animal toxicity experiments with cutting-edge machine learning.
In this role, you'll work at the intersection of  AI, chemistry, and drug discovery , partnering with top biotech and pharma teams to push real drug programs forward. You'll analyze AI/ML predictions on molecular structures, guide experimental design, and directly influence the development of a next-generation AI-driven platform. Your work will have a tangible impact on 100s of drug programs, shaping how new medicines are discovered.
We're looking for candidates with expertise in  computational chemistry, cheminformatics, or ML for chemistry , ideally with industry experience in drug discovery. You should be proficient in Python, cheminformatics libraries (RDKit, Datamol), and molecular modeling techniques, with a passion for improving state-of-the-art AI models. Strong communication skills and the ability to engage with scientific teams, present research, and shape AI-driven solutions are essential.
If you're excited about redefining how AI is used in chemistry, let's connect!

Join Us as a Machine Learning Engineer Focused on Chemistry - Exciting Opportunity!
We are in search of a  Chemistry Machine Learning Engineer / Cheminformatics ML Scientist  to become part of our innovative team, dedicated to transforming traditional lab and animal toxicity experiments into advanced AI-driven solutions.
In this pivotal role, you will operate at the crossroads of  AI, chemistry, and drug discovery , collaborating with leading biotech and pharmaceutical teams to propel real drug programs forward. Your expertise will be crucial in analyzing AI/ML predictions regarding molecular structures, shaping experimental designs, and influencing the progression of a next-generation AI-powered platform. Your contributions will significantly impact numerous drug development initiatives, revolutionizing how new medicines are brought to market.
We are seeking candidates with a strong foundation in  computational chemistry, cheminformatics, or ML applied to chemistry , preferably with industry experience in drug discovery. Proficiency in Python, as well as familiarity with cheminformatics libraries (such as RDKit and Datamol) and molecular modeling techniques, is essential. A genuine passion for enhancing state-of-the-art AI models is highly valued. Excellent communication skills and the ability to engage with scientific teams are crucial, as you will present research and help shape cutting-edge, AI-driven solutions.
If you are motivated to redefine the role of AI in chemistry and make a real difference in drug discovery, we would love to connect with you!

ML Engineer (AI 4 Chemistry) - New Opportunity - San Francisco/Hybrid
I'm seeking a  Chemistry Machine Learning Engineer / Cheminformatics ML Scientist  to join my client in building AI systems that replace lab and animal toxicity experiments with cutting-edge machine learning.
In this role, you'll work at the intersection of  AI, chemistry, and drug discovery , partnering with top biotech and pharma teams to push real drug programs forward. You’ll analyze AI/ML predictions on molecular structures, guide experimental design, and directly influence the development of a next-generation AI-driven platform. Your work will have a tangible impact on 100s of drug programs, shaping how new medicines are discovered.
We're looking for candidates with expertise in  computational chemistry, cheminformatics, or ML for chemistry , ideally with industry experience in drug discovery. You should be proficient in Python, cheminformatics libraries (RDKit, Datamol), and molecular modeling techniques, with a passion for improving state-of-the-art AI models. Strong communication skills and the ability to engage with scientific teams, present research, and shape AI-driven solutions are essential.
If you're excited about redefining how AI is used in chemistry, let's connect!
Seniority level   Mid-Senior level
Employment type   Full-time
Job function   Engineering, Research, and Science
Industries   Biotechnology Research and Research Services
Referrals increase your chances of interviewing at Barrington James by 2x
Inferred from the description for this job   Medical insurance
Pension plan
401(k)
Paid paternity leave
Paid maternity leave
Tuition assistance

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Machine Learning Engineer Barrington James Jobs

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Machine Learning Engineer Barrington James Jobs

Senior Machine Learning EngineerMarch 30, 2025

Chemistry Machine Learning EngineerMarch 28, 2025

Machine Learning Engineer Specializing In ChemistryMarch 28, 2025

Machine Learning Engineer Specializing In ChemistryMarch 27, 2025

Chemistry Machine Learning EngineerMarch 24, 2025