Applied AI Engineer, Beneficial Deployments in London

Applied AI Engineer, Beneficial Deployments in London

London Full-Time Home office (partial)
Anthropic

At a Glance

  • Tasks: Join us to develop impactful AI solutions for mission-driven organisations.
  • Company: Anthropic, a leading AI research company focused on beneficial technology.
  • Benefits: Competitive salary, flexible hours, generous leave, and equity donation matching.
  • Other info: Collaborative culture with opportunities for growth and mentorship.
  • Why this job: Make a real difference in communities while working with cutting-edge AI technology.
  • Qualifications: 4+ years in software engineering with experience in LLM-powered applications.

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.

About the role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.

Responsibilities:

  • Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more.
  • Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development.
  • Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills.
  • Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research.
  • Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service.
  • Help shape team processes and culture as we scale from 1 to N.
  • Travel occasionally to customer sites for workshops, technical deep dives, and relationship building.

You might be a good fit if you have:

  • 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder.
  • Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale.
  • Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience.
  • Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints.
  • A love of teaching, mentoring, and helping others succeed.
  • 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:

Annual Salary: £240,000 - £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 experience.
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different: We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Applied AI Engineer, Beneficial Deployments in London employer: Anthropic

Anthropic is an exceptional employer for those passionate about advancing reinforcement learning in a collaborative and innovative environment. With competitive compensation, generous vacation and parental leave, and flexible working hours, employees enjoy a supportive work culture that prioritises both personal and professional growth. Located in a vibrant office space, team members have the unique opportunity to engage directly with cutting-edge research while making meaningful contributions to the responsible scaling of AI.

Anthropic

Contact Details:

Anthropic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI Engineer, Beneficial Deployments in London

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Anthropic.

Apply Directly through Our Website

When you find a suitable opening like Applied AI Engineer, Beneficial Deployments at Anthropic, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Applied AI Engineer, Beneficial Deployments in London

Software Engineering
LLM-powered Applications Development
Context Engineering
Agent Architectures
Evaluation Frameworks
Production Deployment at Scale
Technical Mentoring

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Anthropic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anthropic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Anthropic

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Anthropic!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.