Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
Your role will be split between developing ML pipelines, scaling AI models, leading architectural discussions, shaping engineering roadmaps and deploying solutions directly with the client delivery teams.
You will leverage your expertise in architecting, orchestrating and scaling complex AI/ML pipelines along with your product development mindset to solve complex problems and create solutions that will accelerate our clients in their respective fields.
We expect you to drive engineering roadmaps for cell-level initiatives and transform AI prototypes into deployment-ready solutions. You will translate engineering concepts for senior stakeholders, enhance McKinsey’s AI Toolbox, and codify methodologies for future deployment.
By working directly with client delivery teams, you will ensure seamless implementation and operationalization of cutting-edge solutions and prototypes. In multi-disciplinary teams, you will ensure smooth integration of AI/ML solutions across projects and mentor junior colleagues.
As a Senior Machine Learning Engineer, you’ll be asked to optimize and scale complex AI applications multi machine and multi-GPU setups. You will ensure the latest tools and technologies are used and support your colleagues with codifying and distributing knowledge.
You will be working in our London office in our Life Sciences practice. You will work with cutting-edge AI teams on research and development topics across our Life Sciences, global energy and materials, and advanced industries practices, serving as a machine learning engineer in a technology development and delivery capacity.
You will be on McKinsey’s global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). With your expertise in computer science, computer engineering, cloud, and distributed computing you will help build and shape McKinsey’s Scientific AI offering.
Your work will involve delivering distinctive capabilities, data, and machine learning systems through collaboration with client teams, playing a pivotal role in creating and disseminating cutting-edge knowledge and proprietary assets, and building the firm’s reputation in your area of expertise.
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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