At a Glance
- Tasks: Transform ideas into working proofs of concept and prototypes in a fast-paced environment.
- Company: Join a forward-thinking tech company that values innovation and creativity.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Dynamic role with the chance to work on cutting-edge machine learning projects.
- Why this job: Make a real impact by turning concepts into functional solutions quickly.
- Qualifications: Proficiency in Python, data engineering, and lightweight app development.
The predicted salary is between 50000 - 70000 € per year.
What candidate will do
- Take loosely defined problems and turn them into proofs of concepts (PoCs) within days.
- Combine data engineering, modelling and lightweight application development to test ideas end-to-end.
- Where a POC shows promise, there would be additional effort to grow it into a prototype (applying the concept to functional business needs) within 2-3 weeks.
- Work independently with minimal guidance and iterate quickly based on feedback and communicate results clearly.
What we are looking for
- 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 - 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 in London employer: Infoplus Technologies UK Ltd
As a Machine Learning Prototyping Engineer, you will thrive in an innovative and dynamic work culture that encourages rapid experimentation and independent problem-solving. Our company offers exceptional growth opportunities, allowing you to transform ideas into impactful prototypes while collaborating with talented professionals in a supportive environment. Located in a vibrant area, we provide a unique blend of flexibility and resources, ensuring that your contributions lead to meaningful advancements in the field of machine learning.
Contact Detail:
Infoplus Technologies UK Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Prototyping Engineer in London
✨Tip Number 1
Get your hands dirty with some quick projects! Build a few proofs of concept that showcase your skills in Python and data engineering. This will not only help you understand the process better but also give you something tangible to discuss during interviews.
✨Tip Number 2
Don’t just apply for jobs; network like a pro! Reach out to people in the industry, attend meetups, or join online forums. You never know who might have a lead on a role that’s perfect for you!
✨Tip Number 3
When you land an interview, be ready to talk about your past projects. Focus on how you turned ideas into working solutions quickly. Use specific examples to show how you tackled challenges and iterated based on feedback.
✨Tip Number 4
Apply through our website! We love seeing candidates who are proactive. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start. Don’t miss out on the opportunity to stand out!
We think you need these skills to ace Machine Learning Prototyping Engineer in London
Some tips for your application 🫡
Show Your Problem-Solving Skills:When you're writing your application, make sure to highlight how you've tackled loosely defined problems in the past. We want to see your ability to turn ideas into working solutions quickly, so share specific examples that demonstrate this skill.
Be Clear and Concise:We appreciate clarity! When you describe your experience with Python, data engineering, or app development, keep it straightforward. Use bullet points if needed, and make sure your achievements stand out. This helps us see your potential at a glance.
Emphasise Your Independence:Since we value independent thinkers, don’t shy away from mentioning times when you’ve worked autonomously. Share how you iterated on feedback and communicated results clearly, as this shows us you can thrive in fast-moving environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, data engineering, and lightweight app development. Brush up on your knowledge of APIs, SQL, and cloud data platforms. Being able to discuss your hands-on experience with these technologies will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've taken loosely defined problems and turned them into working solutions. Highlight your ability to iterate quickly based on feedback and how you’ve communicated results effectively in past projects.
✨Demonstrate Your Prototyping Experience
Be ready to talk about your experience building end-to-end prototypes. Share stories that illustrate how you’ve gone from a proof of concept to a functional prototype, focusing on practical outcomes rather than perfect code.
✨Embrace Ambiguity
Since the role involves working in fast-moving environments, convey your comfort with ambiguity. Discuss how you approach unclear situations and make decisions quickly, showcasing your independent thinking and adaptability.
