Senior RL Data Engineer - End-to-End Pipelines in London

Senior RL Data Engineer - End-to-End Pipelines in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Anthropic

At a Glance

  • Tasks: Own and build foundational AI data systems and pipelines.
  • Company: Join Anthropic, a leader in AI innovation based in Greater London.
  • Benefits: Enjoy competitive pay, hybrid work options, and support for your growth.
  • Other info: Be part of a dynamic team focused on societal impacts of AI.
  • Why this job: Make a real impact in AI while working on exciting projects.
  • Qualifications: Strong Python or TypeScript skills and experience in managing significant projects.

The predicted salary is between 70000 - 90000 £ per year.

Anthropic is seeking a senior engineer to take ownership of foundational AI data systems. This hands-on role includes architecture decisions, building data pipelines, and improving QA frameworks. Located in Greater London, the role requires strong software engineering skills in Python or TypeScript and a track record of managing significant projects. Ideal candidates will have experience in AI tool usage and an understanding of societal impacts. Strong applicants will be supported with competitive compensation and a hybrid working policy.

Senior RL Data Engineer - End-to-End Pipelines in London employer: Anthropic

At Anthropic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Greater London location provides employees with access to a vibrant tech community, while our commitment to competitive compensation and hybrid working arrangements ensures a healthy work-life balance. We prioritise employee growth through continuous learning opportunities and encourage our team to take ownership of impactful projects in the AI space.

Anthropic

Contact Details:

Anthropic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior RL Data Engineer - End-to-End Pipelines in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Anthropic or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Anthropic.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Anthropic.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Anthropic that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior RL Data Engineer - End-to-End Pipelines in London

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
Communication Skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Anthropic.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Anthropic and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Anthropic

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Anthropic uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.