Applied ML Engineer: Build, Deploy & Demo AI Solutions

Applied ML Engineer: Build, Deploy & Demo AI Solutions

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Fireworks AI

At a Glance

  • Tasks: Build and deploy AI solutions that make a real difference for customers.
  • Company: Fireworks AI, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting environment with plenty of room for career advancement.
  • Why this job: Join a dynamic team and work on innovative AI projects that impact users directly.
  • Qualifications: Experience in machine learning and a passion for customer-focused solutions.

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

Fireworks AI in London is seeking an Applied Machine Learning Engineer to bridge cutting-edge research and customer-focused AI solutions.

You will develop, fine-tune, and operationalize models powering business value and user experiences; this is hands-on with strong customer-facing elements.

You will collaborate with GTM, build Po Cs, deploy end-to-end AI-powered applications, contribute to the ML platform, and optimize performance.

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Applied ML Engineer: Build, Deploy & Demo AI Solutions employer: Fireworks AI

Fireworks AI is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from hands-on experience in cutting-edge AI technologies, with ample opportunities for professional growth and development through direct engagement with customers and cross-functional teams. The company's commitment to bridging research with practical applications ensures that every team member plays a vital role in delivering impactful solutions, making it a rewarding place to advance your career in machine learning.

Fireworks AI

Contact Details:

Fireworks AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied ML Engineer: Build, Deploy & Demo AI Solutions

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fireworks AI!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied ML Engineer: Build, Deploy & Demo AI Solutions at Fireworks AI.

Leverage Professional Networks

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 Fireworks AI.

Apply Directly through Our Website

When you find a suitable opening like Applied ML Engineer: Build, Deploy & Demo AI Solutions at Fireworks AI, 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: Build, Deploy & Demo AI Solutions

Python
SQL
Communication Skills
Problem-Solving Skills
Attention to Detail
Data Engineering
Data Pipeline Development

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Fireworks AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

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

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 Fireworks AI!

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.