At a Glance
- Tasks: Join a revolutionary team to develop AI solutions in nutrition and health.
- Company: ZOE, a cutting-edge start-up transforming health through technology.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on machine learning and health research.
- Why this job: Make a real impact on global health with innovative technology.
- Qualifications: Experience in software development; open to diverse tech backgrounds.
The predicted salary is between 50000 - 70000 £ per year.
ZOE is a revolutionary, $47-Million Series B funded start-up working at the core of ML and Engineering -- to understand, predict, and decipher the effect of nutrition on your body, my body, and millions of bodies around the globe. Imagine having the top 1% of Research Scientists in the World, the most financially successful co-founders and entrepreneurs, and the most sought after Engineering Leaders in London.
ZOE have now launched their Wider Health Studies Program where they have over half a million people who have pledged their data for research into Cancer, Dementia and Heart Disease. We have also been working on the COVID Symptom Study app which is being used by 4.5 million people in the UK! Through this, we are getting vital information on a daily basis, which is providing critical research.
Now is your chance to join this team. For the techies that like to know the details, here is the tech stack: Python, Django, React, React Native, Typescript, PostgreSQL, REST, gRPC, Kubernetes, GCP and more... BUT are open to engineers with backgrounds in different technologies, so are looking for people who are true "tech agnostics"!
We tackle a range of complex problems on machine learning, data engineering, logistics or user experience to enable our customers to understand how their body responds to food and improve their long-term health, so if this sounds like an opportunity for you- please apply below!
Software Engineer @ Zoe- Advanced AI and Machine Learning in Genetic Epidemiology and Nutrition in London employer: techruiter.
TechRuiter is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. Located in the United Kingdom, we offer our employees competitive benefits, ample opportunities for professional growth, and a supportive environment that encourages continuous learning and development. Join us to be part of a team that values your contributions and empowers you to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer @ Zoe- Advanced AI and Machine Learning in Genetic Epidemiology and Nutrition 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 techruiter. 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 techruiter..
✨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 techruiter..
✨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 techruiter. 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 Software Engineer @ Zoe- Advanced AI and Machine Learning in Genetic Epidemiology and Nutrition in London
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 techruiter..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at techruiter. 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 techruiter.
✨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 techruiter. 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.
