---
title: 'Applied ML Engineer/Scientist at Boltz'
canonical: 'https://feeny.ai/job/applied-ml-engineer-scientist-boltz-london-44f5ptd2dtpd'
type: 'job'
last_seen: '2026-09-13'
---

# Applied ML Engineer/Scientist at Boltz

- **Company:** Boltz
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-01-07
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.gem.com/boltz/am9icG9zdDqXEgMphEu-MTGS_EHQeFWf

## Job description

## About Boltz

Boltz is a public benefit company building the next generation of AI-powered molecular modeling tools to make biology programmable and accelerate drug discovery, while keeping frontier capabilities broadly accessible. Boltz-1, Boltz-2, and BoltzGen are open models trusted by 100,000+ scientists across biotech and academia, and used in programs at every Top 20 pharma as well as leading agrichemical and industrial research organizations. We deliver these capabilities through Boltz Lab, our platform for running our latest models and design agents as reliable, production-grade tools. Boltz Lab is designed around real chemistry and biology workflows, so teams can start from a target and a hypothesis and quickly generate, evaluate, and rank candidate molecules. We provide the compute, the scalable infrastructure, and the collaboration layer, so scientists can iterate faster and stay focused. You can read more about our mission, research and product vision on our [manifesto](http://boltz.bio/manifesto).

## About the role

As an Applied ML Engineer/Scientist, you will apply and adapt Boltz’s foundational machine learning models to real-world drug discovery problems, working directly on projects with external partners. Your focus will be on finding the most effective ways to fine-tune, condition, and deploy state-of-the-art models for specific scientific use cases in molecular modeling and design. You’ll collaborate closely with ML researchers, software engineers, and domain experts in chemistry and biology to translate partner needs into concrete modeling strategies. This includes curating and adapting datasets, selecting and tuning model architectures and objectives, and iterating rapidly to maximize performance on applied tasks. You’ll own the end-to-end applied modeling loop from problem formulation and experimentation to evaluation and delivery. You’ll also feed applied learnings back into core model development, identifying gaps and failure modes in practice and contributing concrete improvements that strengthen Boltz’s foundational models. This role is ideal for someone who enjoys operating at the interface between cutting-edge ML and real-world deployment: a technically strong, execution-focused scientist or engineer who wants to turn powerful foundational models into reliable, high-impact capabilities for partners and end users.

## About you

Essentials:

- Strong hands-on experience applying machine learning to real-world problems, including applied ML in biology, chemistry, or drug discovery.
- Familiarity with datasets, tools, data formats, and workflows commonly used in computational biology and chemistry.
- Strong hands-on experience with PyTorch and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.).
- Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility, and testing.

Nice to have:

- Experience collaborating with external partners or stakeholders, translating biological or chemical questions into concrete modeling and evaluation strategies.
- Strong publication record in ML or life-science venues (e.g. NeurIPS, ICLR, ICML, Nature Methods), especially where research was driven by applied or translational goals.
- Experience working in an interdisciplinary scientific environment, especially across ML, biology, chemistry, and physics.

## What we offer

- Opportunity to drive outsized real-world impact by building tools that empower thousands of scientists across the industry.
- Work alongside one of the most talent-dense teams in the field.
- Significant ownership and independence, with responsibility for driving projects from concept to deployment.
- Highly competitive salary with substantial equity ownership.

## About Boltz

## Company Overview
- **One-liner**: Boltz builds foundational AI models and a platform for biomolecular modeling and design, enabling scientists to engineer proteins and small molecules for drug discovery.
- **Entity Type**: Private (Seed stage; raised $28M)
- **Headquarters**: London, United Kingdom (also has an office in Boston, Massachusetts, USA)
- **Founded**: 2025
- **Founders**: Not publicly available (the company originated from research at MIT)

## Core Business
- **Primary industry/industries**: Artificial intelligence for biology and chemistry; biotechnology research
- **Target customers**: B2B – pharmaceutical companies (including all top 20 pharma), biotech startups, academic labs, and individual scientists
- **Mission or purpose statement**: To advance the frontier of AI capabilities in biology through open science and make them universally accessible to every scientist working toward a healthier, more sustainable future. Boltz is a Public Benefit Corporation (PBC).

## Products & Services
- **Boltz-1 / Boltz-1x**: Open-source structure prediction models approaching AlphaFold3-level accuracy; commercially usable under a permissive license.
- **Boltz-2**: Frontier structure prediction model that pushes binding affinity prediction to unprecedented accuracy using large-scale supervision.
- **BoltzGen**: A protein design model and agent capable of generating binders to arbitrary targets, validated across diverse modalities, targets, and assays.
- **Boltz Lab**: A cloud platform (in beta) providing hosted compute, agentic workflows for small-molecule discovery and protein design, collaborative interfaces, and enterprise deployments (multi-tenant, single-tenant, or on-premise). SOC 2 Type 1 verified. Usage-based pricing with generous free tiers.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $28M in total seed funding (1 prior round)
- **Notable Investors/Partners**: Amplify, a16z, Zetta (co-leads); angel investors include Clement Delangue (CEO of Hugging Face), Factorial Capital, Obvious Ventures. **Key partnership**: multi-year agreement with Pfizer to deploy Boltz Lab across the company and co-develop new foundation models.
- **Growth Signals**: 5M+ downloads, 100k+ scientists using the models, adoption by all top 20 pharma companies and thousands of biotechs. Rapidly expanding team (hiring research engineers, software engineers, product designers, protein engineers).

## Competitive Advantages
- **Open‑source foundation**: Permissively licensed models (Boltz-1, Boltz-1x) that have been validated by the community, lowering the barrier to entry and building trust.
- **Performance and cost**: Claims the lowest price per unit of any major provider in the space; optimized models reduce compute costs.
- **IP protection**: Customers own their outputs, data stays secure, and Boltz does not train on customer data. Offers on-premise deployment for sensitive work.
- **Public Benefit Corporation**: Mission‑aligned structure that explicitly avoids competing with customers (Boltz does not develop drugs itself).

## Strategic Focus
- **Three pillars**: Research (understand and reprogram biology from the bottom up), Product (put powerful AI into scientists’ hands via agentic workflows and eventually autonomous labs), Community (open science and broad accessibility).
- **Current priorities**: Expanding the Boltz Lab platform, fine‑tuning models on proprietary customer data, building agents for new modalities, and scaling enterprise partnerships.

## Why Work Here
- **Culture**: Mission‑driven, open‑science ethos with a strong emphasis on research excellence and product impact. The team is lean (~17 employees as of early 2026) and growing.
- **Remote/Hybrid**: Not explicitly stated; locations include London (HQ) and Boston. Likely flexible given the global team (employees in UK, US, Netherlands, Switzerland).
- **Notable perks**: Opportunity to work on frontier AI models used by 100k+ scientists; direct collaboration with top pharma; usage‑based pricing aligns with customer success; public‑benefit status ensures long‑term mission alignment.
- **Engineering culture**: Heavy focus on research engineering, software engineering, and product design. Looking for protein engineers with preclinical experience to shape the product roadmap.

## Sources
1. [boltz.bio](https://boltz.bio/)
2. [boltz.bio/manifesto](https://boltz.bio/manifesto)
3. [boltz.bio/launch](https://boltz.bio/launch)
4. [linkedin.com/company/boltz-bio](https://linkedin.com/company/boltz-bio)
5. [cbinsights.com/company/boltz](https://www.cbinsights.com/company/boltz)

## Other roles at Boltz

- [Head of Partnerships & Developer Relations](https://feeny.ai/job/head-of-partnerships-developer-relations-boltz-london-081mbxkz1s8j) — London, United Kingdom
- [Head of Community & Growth Marketing](https://feeny.ai/job/head-of-community-growth-marketing-boltz-london-qg7fj0at6fck) — London, United Kingdom
- [Head of Commercial](https://feeny.ai/job/head-of-commercial-boltz-london-ve3f87293d6n) — London, United Kingdom
- [Community Lead](https://feeny.ai/job/community-lead-boltz-london-jgcrvj9gp234) — London, United Kingdom
- [Chief of Staff](https://feeny.ai/job/chief-of-staff-boltz-london-6c3rp0gwc86d) — London, United Kingdom
- [ADME/DMPK Scientist](https://feeny.ai/job/adme-dmpk-scientist-boltz-london-2kbrygkxpkqa) — London, United Kingdom
- [Computational Biologist](https://feeny.ai/job/computational-biologist-boltz-london-ywq0h6gna1qr) — London, United Kingdom
- [Small Molecule Computational Scientist](https://feeny.ai/job/small-molecule-computational-scientist-boltz-london-j7jz1gjm25xq) — London, United Kingdom
- [Product Designer](https://feeny.ai/job/product-designer-boltz-london-c47gnt2jtexf) — London, United Kingdom
- [Software Engineer, Product](https://feeny.ai/job/software-engineer-product-boltz-london-ahzffabh70an) — London, United Kingdom