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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 ideal for independent thinkers and problem solvers.
- 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.
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 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and join online forums. The more connections you make, the better your chances of hearing about opportunities before they even hit the job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your PoCs and prototypes. Use platforms like GitHub to share your work. This not only demonstrates your capabilities but also gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising your problem-solving skills. Be ready to discuss how you would approach turning an idea into a working solution quickly. Employers love candidates who can think on their feet and adapt to fast-paced environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can thrive in ambiguous situations. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Engineer in DevOps in London
Some tips for your application 🫡
Show Your Speed: In your application, highlight your ability to turn ideas into working solutions quickly. We love candidates who can demonstrate their rapid prototyping skills and how they've tackled loosely defined projects in the past.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure to communicate your experiences and skills without unnecessary fluff. Remember, we want to see how you can document and communicate outcomes effectively!
Tailor Your Experience: Make sure to align your previous work with the key responsibilities listed in the job description. We’re looking for specific examples of how you've built PoCs and prototypes, so don’t hold back on those details!
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 this exciting role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Queen Square Recruitment
✨Understand the Role
Before the interview, make sure you fully grasp what the role entails. Familiarise yourself with rapid prototyping and how to turn loosely defined ideas into working solutions. This will help you speak confidently about your relevant experience.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built end-to-end proofs of concept or prototypes. Highlight your hands-on experience with Python, SQL, and any ML techniques you've applied. Real examples will demonstrate your capability to deliver quickly.
✨Emphasise Problem-Solving Skills
Be ready to talk about how you've tackled ambiguous challenges in the past. Share instances where you've had to iterate rapidly based on feedback, as this aligns perfectly with the fast-paced nature of the role.
✨Communicate Clearly
Since clear communication is key, practice explaining complex technical concepts in simple terms. Be prepared to discuss how you document outcomes and communicate findings to stakeholders, as this will show your ability to work independently and effectively.