Applied AI Engineer, Beneficial Deployments (Lab Automation)

EngineersOfAI; Greater London; Hybrid; GBP 225,000 - 255,000; Full time

Job summary

Anthropic is seeking an Applied AI Engineer to join Beneficial Deployments, Life Sciences. You will help deploy the Model Hardware Standard (MHS) to labs doing critical research, automating experiments end-to-end with Claude and scaling insights back into the standard.

You’ll shape product and research directions from field experience, develop features on MHS, and create reusable assets and cookbooks for labs, while traveling across labs in EMEA to build trust and collaboration.

Qualifications

• Hands-on experience connecting software to lab robots and instruments.
• Strong engineering skills; prototype to production code.
• Instinct for how experiments work, automation, and safety in the physical world.
• Experience working directly with external customers or partners in a technical role.
• Clear written and verbal communication: create docs for labs and give talks.
• Scrappy mentality: wear multiple hats and drive clarity in ambiguity.

Responsibilities

• Automate experiments end-to-end with Claude, from advisory to production code.
• Drive product, engineering and research direction based on field experience (e.g., building evals).
• Scale impact to labs via reusable cookbooks, documentation, and assets.
• Be an EMEA ambassador for Claude in the lab, building trust with researchers.
• This role will require significant travel.

Skills

Lab robotics

Engineering skills

Experiment instinct

Customer collaboration

Communication skills

Scrappy mindset

Education

Bachelor's degree

Relevant field of study

Tools

LIMS

Scheduling software

Liquid handlers

Plate readers

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.

About the Role

We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software. You'll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research. You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction.

Responsibilities

• Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code.
• Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc.
• Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets.
• Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences.
• This role will require significant travel

You Might Be a Good Fit If You Have

• Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab.
• Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance.
• A scientist's instinct for how experiments work: you can spot what's worth automating, and where AI might fail or be unsafe in the physical world.
• Experience working directly with external customers or partners in a technical role.
• Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

£225,000 — £255,000 GBP

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experie