Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Rapidly build prototypes from ideas, combining data engineering and machine learning.
- Company: Dynamic tech company focused on innovation and fast-paced development.
- Benefits: Flexible contract role with opportunities for growth and skill enhancement.
- Other info: Fast-moving environment with a focus on practical outcomes and evidence-based decisions.
- Why this job: Make a real impact by turning concepts into working solutions quickly.
- Qualifications: Strong Python and SQL skills, with experience in prototyping and ML.
The predicted salary is between 60000 - 80000 £ per year.
Contract Role: AI / Data / ML Prototype Engineer (Rapid PoC Builder). We are seeking a highly autonomous contractor who thrives on turning loosely defined ideas into working solutions quickly. This role is focused on rapid experimentation, validation, and prototyping—not long delivery cycles. The goal is simple: determine quickly whether an idea is viable and worth scaling.
The Role
- You will take early-stage concepts and independently build end-to-end proofs of concept (PoCs), combining data engineering, machine learning, and lightweight application development.
- Where a PoC shows promise, you will extend it into a functional prototype aligned to real business needs.
- You will work with minimal guidance, move fast, and communicate findings clearly to stakeholders.
Key Responsibilities
- Build PoCs from loosely defined ideas within 2–3 days.
- Design and implement end-to-end experimental solutions (data → model → output).
- Combine data engineering, analytics, and ML to test feasibility quickly.
- Develop lightweight prototypes (APIs, notebooks, dashboards, simple UIs).
- Translate business ideas into technical approaches independently.
- Iterate rapidly based on feedback and refine working solutions.
- Integrate data from APIs, SQL sources, and cloud platforms.
- Apply ML/NLP techniques where relevant to validate concepts.
- Clearly document and communicate outcomes, assumptions, and limitations.
- Identify whether ideas should be scaled, adjusted, or dropped.
What We’re Looking For
- Strong ability to turn ideas into working software quickly.
- Hands-on Python experience (data processing, prototyping, ML).
- Strong SQL and data engineering skills (APIs, pipelines, cloud data).
- Experience building end-to-end prototypes, not just models.
- Understanding of ML fundamentals (feature engineering, evaluation, etc.).
- Ability to work 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 (e.g., Snowflake).
- Experience with visualization tools (Tableau, Plotly, etc.).
- Exposure to marketing or customer analytics (segmentation, churn, attribution).
What Success Looks Like
- You can go from idea → working PoC in 2–3 days.
- You can evolve PoC → usable prototype in 2–3 weeks.
- You help teams make fast, evidence-based decisions.
- You prioritise practical outcomes over perfect engineering.
Senior Engineer in DevOps (f/m/d) in London employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer in DevOps (f/m/d) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially those rapid prototypes and PoCs. We want to see how you turn ideas into working solutions quickly—make it easy for employers to see your potential.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to DevOps and ML. We suggest doing mock interviews with friends or using online platforms to get comfortable talking about your experience and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can thrive in fast-paced environments. Your next opportunity could be just a click away!
We think you need these skills to ace Senior Engineer in DevOps (f/m/d) in London
Some tips for your application 🫡
Show Your Passion for Prototyping: When you're writing your application, let us see your enthusiasm for rapid prototyping and experimentation. Share examples of how you've turned vague ideas into working solutions quickly—this is what we love to see!
Be Clear and Concise: We appreciate straightforward communication, so make sure your application is easy to read. Highlight your key skills and experiences without fluff—get straight to the point about how you can build those end-to-end PoCs.
Tailor Your Application: Don’t just send a generic application! Tailor it to our job description by mentioning specific skills like Python, SQL, and your experience with ML. Show us that you understand what we're looking for and how you fit the bill.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Queen Square Recruitment
✨Know Your Stuff
Make sure you brush up on your Python, SQL, and data engineering skills. Be ready to discuss how you've turned ideas into working software quickly in the past. Prepare examples of your end-to-end prototypes and be ready to explain your thought process.
✨Showcase Your Rapid Prototyping Skills
Since this role is all about quick experimentation, come prepared with a few stories where you built proofs of concept in tight timeframes. Highlight how you iterated based on feedback and what the outcomes were. This will show that you can thrive in fast-moving environments.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate findings clearly to stakeholders, so think about how you can present your ideas effectively. Maybe even prepare a mock presentation to get comfortable with this.
✨Be Ready for Ambiguity
This role requires independent thinking and problem-solving in ambiguous situations. Think of examples where you’ve navigated uncertainty and made decisions based on limited information. Show them you can handle the pressure and still deliver results!