Vice President of Engineering | Biology & AI

My client is a fast-growing biotechnology company at the cutting edge of biological discovery. By combining a proprietary multi-billion-gene dataset with advanced AI and machine learning, they are redefining what is possible in genomics, therapeutics, nutrition, and agriculture.Having recently announced a pre-series C round of funding, they have scaled their data asset tenfold, creating one of the world’s largest biological datasets. The team comprises biologists, engineers, ML researchers, and field scientists who collaborate across disciplines to uncover previously undiscovered biology and translate it into actionable insights.The RoleThey’re looking for a VP of Engineering to set and deliver a multi-year engineering strategy across infrastructure, MLOps, and core software platforms. You’ll work closely with the executive team and report into the C-suite, owning how engineering supports large-scale scientific and AI research.The engineering function sits at the centre of the company’s discovery platform. The team builds and operates systems that handle massive biological datasets, GPU-heavy model training, and production-grade deployment of AI models. This role combines deep technical leadership with people leadership at scale.From day one, you’ll take ownership of architecture, team structure, and execution. You’ll be responsible for scaling systems and teams as data and compute grow rapidly, while building a strong engineering culture and clear career paths.Key ResponsibilitiesLead and scale multiple engineering teams across infrastructure, MLOps, data pipelines, and internal toolingDefine long-term architecture for hybrid cloud and on-prem compute, including Kubernetes-based orchestration and storage systemsOwn production-grade ML deployment pipelines, including training, validation, versioning, monitoring, and reliabilityBuild strong internal developer platforms and self-service toolingPartner closely with Research, Data Science, and Product to turn research needs into robust engineering systemsEstablish engineering best practice around security, reliability, and complianceSet clear career frameworks, hiring plans, and performance processesOwn delivery planning, budgeting, and senior technical decision-makingManage strategic technical partnerships and vendor relationshipsAbout You10+ years of engineering experience, with 5+ years in senior leadership rolesProven experience scaling teams and systems through rapid data or compute growthStrong background in distributed systems, infrastructure, and MLOpsExperience supporting GPU-heavy training or inference workloadsTrack record of taking research or prototype code into production systemsComfortable working at exec level and influencing company-wide technical directionStrong people leadership skills with a focus on mentoring and growing leadersClear communicator who works well across technical and non-technical teamsExposure to computational biology, genomics, or scientific data workflowsHands-on experience with Kubernetes, Airflow, Argo, or similar toolingFamiliarity with security, compliance, or regulated environmentsExperience working with cloud providers and large-scale GPU infrastructureWhat they can offer in returnThe chance to play a key role in a fast-moving and impactful fieldA supportive and collaborative work environment based in central London, with flexibility and focus on developmentCompetitive salary with equityComprehensive benefits including private medical cover, pension, generous time off, and enhanced parental supportAdditional benefits such as childcare support, cycle to work scheme, and income protectionPlease apply ASAP for immediate consideration and a fast-moving interview process!Keywords: VP of Engineering, Vice President of Engineering, Head of Engineering, Engineering Director, Engineering Leadership, Senior Engineering Leader, Biotechnology, BioAI, AI, Artificial Intelligence, Biological Datasets, Foundation Models #J-18808-Ljbffr