Job Detail

Founding ML Engineer | Personalised Cancer Vaccines

Data Science and AI Full–time
ID: #10069
Posted: 2026-03-20
Salary

Description

I’m working with a well-backed, early-stage company in London building personalised cancer vaccines. They treat this as a deep technical challenge first: modelling the evolutionary arms race between tumours and the immune system, where signals are sparse, ground truth is costly, and predictions need to be trustworthy in the clinic. Small, driven team + real patient projects and data from day one - no waiting around. They’re hiring a Founding ML Engineer to own and build the core ML platform that designs these vaccines. The problem space is unusually interesting: • Sequence models + structured prediction for neoantigen targeting • Evolutionary dynamics, selection pressures, inference from limited/noisy observations • Game-theoretic thinking about tumour-immune interactions You’ll go from research ideas → production systems: standing up training infra, leveraging serious compute, prioritising clean abstractions. They want someone who: • Has strong mathematical foundations (reads methods sections in top papers comfortably) • Brings a genuine publication record in strong venues (NeurIPS, ICLR, ICML etc.) • Can independently build foundational models - mix of fine-tuning SOTA architectures + designing from scratch • Is passionate about hard, high-stakes prediction problems (sceptical of pure leaderboard chasing) • Can ship fast without regrettable tech debt Biological domain knowledge helpful but not required - they’ll teach the oncology context. Why this role stands out • Backed by genuine industry leaders + top US VCs • Strong initial funding and long runway • Live customer projects - impact from week one • Large R&D budget + fast experimental validation loops for models • Flexible start dates (finishing PhD later in 2026? No issue) Hands-on founding role with real ownership. London-based. Salary: £100,000 - £200,000+ meaningful equity (they pay for impact). Central London (On-site)

Hard Skills 6
Skill Source Confidence
Neural Networks llm_hard
100%
Deep Learning llm_hard
100%
Transformers llm_hard
100%
Fine-tuning Models llm_hard
100%
Model Deployment llm_hard
80%
Model Optimization llm_hard
80%
Soft Skills 6
Skill Source Confidence
Problem-Solving llm_soft
100%
Critical Thinking llm_soft
100%
Analytical Thinking llm_soft
100%
Working Independently llm_soft
100%
Decision-Making llm_soft
80%
Self-Management llm_soft
80%
Apply Options
Publisher Direct Link
LinkedIn No Apply
Talents By StudySmarter No Apply
LinkedIn No Apply
API Logs for this Job
Query Country Status Response ms Created
Founding ML Engineer | Personalised Cancer Vaccines extracted 4236 2026-03-22 02:11
Founding ML Engineer | Personalised Cancer Vaccines classified 580 2026-03-21 20:56
junior deep learning engineer in United Kingdom gb duplicate 13733 2026-03-21 17:11
junior ML engineer in United Kingdom gb duplicate 22049 2026-03-21 17:00
junior machine learning engineer in United Kingdom gb duplicate 9050 2026-03-21 16:57
junior data scientist in United Kingdom gb processed 15536 2026-03-21 16:54
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