Member of Technical Staff - Applied AI Software Engineer, Health in London

Member of Technical Staff - Applied AI Software Engineer, Health in London

London Full-Time 50000 - 161800 £ / year (est.) On-site
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At a Glance

  • Tasks: Join a team transforming health tech with AI, building and evaluating LLM-based products.
  • Company: Microsoft AI, a leader in innovative health solutions.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on learning and development.
  • Why this job: Make a real impact on health and wellbeing for millions using cutting-edge technology.
  • Qualifications: Degree in Computer Science, Python experience, and LLM expertise required.

The predicted salary is between 50000 - 161800 £ per year.

Overview

At Microsoft AI, our health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing.

We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.

We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs.

Our goal is to build transformative products for millions of users across copilot. com and the wider Microsoft ecosystem.

We are looking for engineers with experience designing and building LLM-based products, and taking them through to production.

You will play a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy and useful health information.

We are specifically looking for engineers with experience designing, building and running evaluations for LLMs.

You will be expected to build eval pipelines, curate and synthesise datasets, design automated analyses and explain results to internal stakeholders.

Responsibilities

  • Be a key cross-functional team member, and close collaborator to product teams.

Make significant contributions from translating research into benchmarks to co-authoring product roadmap.

  • Design and build evaluation systems that test LLM capabilities in the healthcare domain, and interpret and communicate results.
  • Run experiments to determine how different prompting techniques affect results on internal and industry benchmarks.
  • Improve the tooling that is used internally to implement, run and analyze evaluations.
  • Design internal benchmarking and regression testing capabilities that capture model accuracy, safety and utility.

Qualifications

  • Required Qualifications
  • Bachelor's or Higher Degree in Computer Science, or related technical discipline AND significant Python programming experience / machine learning research.
  • Experience building with and around LLMs including prompt / context and harness engineering.
  • Deep expertise in evaluating and understanding the performance of agents.
  • Experience collaborating in cross functional teams, working through ambiguity to deliver high quality results.
  • Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
  • Preferred qualifications
  • Experience in healthcare technology, or experience in the health domain.
  • Experience with data engineering - handling text dataset sourcing, curation, and processing tasks at scale.
  • Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI.

Software Engineering IC5 - The typical base pay range for this role across United Kingdom is

£ 93,500.00 - £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here

https://careers. microsoft. com/v2/global/en/corporate-pay/united-kingdom-corporate-pay. html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Member of Technical Staff - Applied AI Software Engineer, Health in London employer: Microsoft

At Microsoft, we pride ourselves on being an exceptional employer, particularly for the role of AI Business Solution Sales Manager. Our culture is rooted in innovation, inclusivity, and continuous learning, providing employees with ample opportunities for professional growth while working in a dynamic, fast-paced environment. With a strong focus on collaboration and customer success, our team members are empowered to make a meaningful impact, supported by industry-leading resources and a commitment to employee development.

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Contact Details:

Microsoft Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Member of Technical Staff - Applied AI Software Engineer, Health 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 Microsoft 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 Microsoft.

✨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 Microsoft.

✨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 Microsoft 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 Member of Technical Staff - Applied AI Software Engineer, Health in London

Python Programming
Machine Learning Research
LLM Design and Development
Evaluation System Design
Data Engineering
Dataset Curation
Cross-Functional Collaboration

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 Microsoft.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Microsoft 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 Microsoft

✨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 Microsoft 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.