At a Glance
- Tasks: Transform ideas into working machine learning prototypes quickly and efficiently.
- Company: Join a leading consultancy with a focus on innovation and collaboration.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Fast-paced role with excellent potential for career advancement.
- Why this job: Make a real impact by developing cutting-edge ML solutions in a dynamic environment.
- Qualifications: Proficiency in Python, data engineering, and hands-on prototyping experience.
The predicted salary is between 50000 - 60000 € per year.
My client, a large consultancy, is in need of a Machine Learning Prototyping Engineer for a 6 month contract based in London offering 3 days per week remote working but requiring 2 days per week on-site.
The ideal candidate will have:
- Strong ability to translate ideas into working solutions quickly
- Hands-on skills across:
- Python (data processing, ML, prototyping)
- Data engineering (APIs, data pipelines, SQL, cloud data)
- Lightweight app development (APIs, simple frontends, notebooks, dashboards)
- Solid (not necessarily extensive) knowledge on the statistical/mathematical fundamentals that support and proposed ML methodologies
- Experience building end-to-end prototypes, not just models
- Comfortable working in ambiguous, fast-moving environments
- Strong problem-solving and independent thinking
Nice to have:
- Experience integrating LLMs or AI services into applications
- Familiarity with modern data platforms (eg Snowflake)
- Experience with visualisation tools (eg Tableau, Plotly)
- Working knowledge of marketing and advertising
What success looks like:
- You can go from idea to working PoC in 2-3 days
- You can go from working PoC to useful prototype in 2-3 weeks
- You unblock decisions by demonstrating feasibility quickly
- You focus on practical outcomes, not perfect code
Machine Learning Prototyping Engineer employer: iBSC
Join a leading consultancy in London as a Machine Learning Prototyping Engineer, where innovation meets collaboration. With a flexible work culture that promotes remote working three days a week, you will thrive in an environment that values quick problem-solving and hands-on skills. The company offers ample opportunities for professional growth and development, making it an excellent choice for those looking to make a meaningful impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Prototyping Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning prototypes and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and problem-solving scenarios. We recommend simulating real interview conditions with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Prototyping Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with Python, data engineering, and lightweight app development. We want to see how you've turned ideas into working solutions, so share specific examples of your past projects!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and how it aligns with the role. Remember, less is often more!
Demonstrate Problem-Solving:We love candidates who can think independently and tackle challenges head-on. Share instances where you’ve solved complex problems or navigated ambiguous situations. This will show us you’re a great fit for our fast-paced environment!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at iBSC
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially in data processing and machine learning. Be ready to discuss how you've built end-to-end prototypes in the past, as this will show your hands-on experience and ability to translate ideas into working solutions quickly.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous challenges in fast-moving environments. Think about specific instances where your independent thinking led to practical outcomes, and be ready to share these stories during the interview.
✨Familiarise Yourself with the Tools
If you have experience with modern data platforms like Snowflake or visualisation tools such as Tableau or Plotly, make sure to highlight this. Even if it's just a basic understanding, showing that you're familiar with these tools can set you apart from other candidates.
✨Demonstrate Your Agility
Be prepared to discuss how you can quickly go from an idea to a working proof of concept (PoC) in just a few days. Emphasise your focus on practical outcomes rather than perfect code, as this aligns perfectly with what the consultancy is looking for.
