Applied ML Engineer

Applied ML Engineer

Full-Time 60000 - 75000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join us to develop AI solutions that revolutionise healthcare and improve lives.
  • Company: Vital is a fast-growing startup transforming health with innovative tech.
  • Benefits: Competitive pay, equity options, wellness perks, and exciting team retreats.
  • Other info: Be part of a dynamic team with huge growth potential and autonomy.
  • Why this job: Make a real impact in healthcare while working with top industry talent.
  • Qualifications: Experience in machine learning and a passion for health tech.

The predicted salary is between 60000 - 75000 £ per year.

We build developer tools for the fastest growing health companies so they can provide personalized, preventative care to millions of people. We raised our $2.9m Seed round from world-class investors and we’ve spent the last year building products that our customers love. We've signed some of the largest companies in health and wellness with a small but mighty team.

Vital is building the future of healthcare - one that is data-driven and personalized. We’re a team of AI, ML specialists and health techies who have worked at companies like Apple, SpaceX, Ro, Lyft & Babylon Health. We’ve spent the last year building products our customers love and now need motivated people to help us rapidly scale and meet demand over the next few months.

Data has changed the world, transforming numerous sectors. In e-commerce, data revolutionized retail by enabling personalized shopping experiences, predicting purchasing behaviour and tailoring recommendations. In banking, data led to personalized financial services, improved risk management, fraud detection and boosted consumer engagement. The same is yet to be done in healthcare. The US has a health epidemic. 50% of the US population has a chronic disease and 86% of healthcare costs are attributed to this crisis. Combined with a shortage of healthcare professionals and rising healthcare costs there is an urgent need for cheaper, personalized and proactive healthcare. With more and more data being collected from wearables, lab tests and patient-doctor exchanges, we’re entering an era of healthcare where data is abundant.

At Vital, we’re building data infrastructure that serves as the backbone for the digital health industry. Our platform provides developers with the tools they need to access, aggregate and utilize health data from health records, devices and labs effectively. We're empowering creators at the forefront of longevity, fertility, precision medicine and more to leverage this data to provide personalized, preventative care to millions of people.

A Truly Flat Hierarchy: Spar and learn directly from experienced operators across Europe and the US, who have scaled businesses before. We value the opinions and ideas of our entire team.

Influence Fundamental Decisions: As part of the early team, you'll have a visible impact on all aspects of Vital. You have the chance to make decisions typically reserved for leadership at other companies and ship products that impact millions of people.

Autonomy and Ownership: Work on the most crucial problems at the company, craft and implement solutions. Whether it's owning a new feature, a product, building a team or owning critical processes.

Career Defining Growth: Being part of a company from the start gives you a unique reputation in the market. You're part of a handful of employees who directly impacted the business. Joining Vital is the perfect springboard to skip steps on a career ladder, as we'll give you as much opportunity as you can handle.

Meaningful Upside: We've stayed disciplined on valuation and how much we've raised to ensure our team benefit from very attractive equity packages and reap the benefits of building and scaling Vital.

Our Values:

  • Nothing is impossible, together: At our core, we are a team of optimists, driven by the belief that a better future within health is not just possible, but within our grasp.
  • Make it happen: Pro-active people are the most successful at Vital. Seek ownership, take the initiative to own problems and solutions, and make it happen.
  • Infinitely Curious: We like to deep dive and understand the pains our customers. It's this curiosity that pushes us to dig deep, even into the tough, unglamorous tasks that make a difference.
  • Opinionated with zero ego: In our team, the best idea always wins, regardless of its source. You will thrive in the company if you leave your ego at the door.
  • High bar Humans: We recognize talent is the most important thing for the company's success. We are a team, not a family and want to work with equally talented individuals.

Perks:

  • Top percentile compensation package: We want our early employees to feel a sense of ownership building Vital.
  • Quarterly company-sponsored offsites abroad: Think sushi making, surfing or clay pigeon shooting in places like Portugal or Morocco.
  • Wearable of your choice: Eyeing up the new Oura, get it on us.
  • Monthly wellness allowance: Being a health company, we want our employees to prioritise their health, so we'll cover your wellness or gym membership.

Applied ML Engineer employer: Junction

At Vital, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters autonomy and ownership. Our team enjoys meaningful growth opportunities, competitive compensation packages, and unique perks like quarterly offsites and wellness allowances, all while contributing to the transformative mission of personalised healthcare. Join us in shaping the future of health technology in a collaborative environment where your ideas truly matter.

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Contact Details:

Junction Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied ML Engineer

Get Involved in Data Science Meetups

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Show Off Your Projects

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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 Junction.

Apply Directly through Our Website

When you find a suitable opening like Applied ML Engineer at Junction, 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 ML Engineer

Communication Skills
Problem-Solving Skills
Flexibility
Compassion
Organizational Skills
Teamwork
Adaptability

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!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Junction. 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 Junction

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 Junction!

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.