At a Glance
- Tasks: Build AI training environments for finance, healthcare, and legal sectors.
- Company: Join a fast-paced, innovative team in London shaping frontier AI.
- Benefits: Competitive salary, flexible work environment, and opportunities for personal growth.
- Other info: Dynamic startup culture with hands-on ownership of projects.
- Why this job: Make a real impact by developing reliable AI solutions in critical industries.
- Qualifications: Experience with LLMs, high agency, and ability to work across diverse contexts.
The predicted salary is between 60000 - 80000 £ per year.
About Aptura
We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries.
We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you.
About the Role
As a Member of Technical Staff on our Applied AI team, you will build the tasks and environments that AI labs use to train and evaluate their agents in finance, healthcare, and legal. Day to day, that looks like:
- Constructing RL environments around spreadsheets, documents, and professional workflows.
- Writing verification logic and reward functions.
- Working with domain experts to scope what a correct answer actually looks like in an LBO model or a clinical note.
- Some days it’s engineering, some days it’s closer to research. The common thread is that you’re producing the ground truth that frontier models get measured against.
What You’ll Do
- Build RL environments across finance, healthcare, and legal domains.
- Assist in designing tasks with golden answers, calibrated rubrics, and programmatic reward signals.
- Write verification logic and reward functions that can distinguish good model outputs from bad ones.
- Work directly with domain experts (investment analysts, physicians, attorneys) to translate complex professional workflows into structured tasks.
- Prototype new approaches to evaluation, verification, and synthetic data generation.
Who We’re Looking For
- Practical experience building with LLMs: prompting, evaluation, and agentic harnesses. You’ve built things that actually run, not just notebooks.
- High agency and technically sharp. You don’t wait for permission, specs, or a roadmap. You see what needs doing, figure out how, and get it done.
- Comfortable working across very different contexts. The job moves between engineering, evaluation design, and deep collaboration with domain experts often in the same day.
- You ship and iterate. Small team, no room for work that sits in review. Bias toward getting something working, learning from it, and improving it.
- You own problems end to end, from scoping with a domain expert through to a working environment. If you prefer clearly partitioned tickets, this probably isn’t the right fit.
- Already using LLMs as part of how you build, not just as the thing you’re building for.
Nice to Have
- Domain knowledge in finance, healthcare, or legal.
- Familiarity with RL concepts, model training, and post-training workflows.
- Cloud infrastructure experience (AWS or GCP).
- Previous startup experience, especially as an early engineer.
Member of Technical Staff (Applied AI) in London employer: Aptura
Aptura is an exceptional employer that thrives on innovation and collaboration, making it an ideal place for aspiring professionals to grow. Located in the vibrant Liverpool Street area, we offer a dynamic work culture that values high agency and teamwork, providing interns with hands-on experience in sourcing operations while contributing to meaningful projects in AI. With a focus on employee development and a fast-paced environment, Aptura empowers you to take ownership of your role and make a real impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (Applied AI) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those related to AI and RL environments. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on relevant topics. Be ready to discuss your experience with LLMs and how you've tackled real-world problems. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Aptura and contributing to the exciting work we do.
We think you need these skills to ace Member of Technical Staff (Applied AI) in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We love seeing candidates who are genuinely excited about building reliable AI systems in finance, healthcare, and legal sectors. Share any relevant projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to fit the role of Member of Technical Staff. Highlight your practical experience with LLMs and any specific projects where you've built RL environments or worked closely with domain experts. This will show us you understand what we're looking for!
Be Clear and Concise:We appreciate clarity in applications. Keep your writing straightforward and to the point. Use bullet points if necessary to make your skills and experiences stand out. Remember, we want to see how you can contribute to our small, fast-moving team!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Aptura!
How to prepare for a job interview at Aptura
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning (RL) concepts and how they apply to finance, healthcare, and legal domains. Be ready to discuss specific examples of how you've built RL environments or worked with LLMs in the past.
✨Show Initiative
Aptura values high agency, so come prepared to share instances where you've taken the lead on a project. Highlight how you identified a problem, figured out a solution, and executed it without waiting for permission.
✨Collaborate Like a Pro
Since you'll be working closely with domain experts, think of ways to demonstrate your collaborative skills. Prepare to discuss how you've translated complex workflows into structured tasks in previous roles, and be ready to engage in a mock discussion about a relevant topic.
✨Iterate and Improve
Emphasise your bias towards shipping and iterating. Share examples of projects where you launched something quickly, learned from feedback, and made improvements. This will show that you're aligned with their fast-paced, hands-on approach.
