Senior Full-Stack Data Engineer β€” ML/AI & FinTech in London

Senior Full-Stack Data Engineer β€” ML/AI & FinTech in London

London Full-Time 60000 - 84000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead full-stack development in ML/AI applications and ensure top-notch code quality.
  • Company: Join Apprize Technology Solutions, a leader in tech innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Experience architectural freedom in a dynamic and collaborative environment.
  • Why this job: Shape the future of FinTech with your expertise in AI and machine learning.
  • Qualifications: 5+ years in tech roles; financial market knowledge is a plus.

The predicted salary is between 60000 - 84000 Β£ per year.

Apprize Technology Solutions is looking for a skilled developer to undertake full-stack development with a focus on machine learning and AI applications. Your responsibilities include collaborating with established teams and ensuring quality code delivery.

The ideal candidate has over 5 years of experience in technical roles, and a strong understanding of financial markets is beneficial. This role offers the opportunity for significant architectural freedom.

Senior Full-Stack Data Engineer β€” ML/AI & FinTech in London employer: Apprize Technology Solutions

Apprize Technology Solutions is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about machine learning and AI in the FinTech sector. Employees benefit from significant architectural freedom, ample opportunities for professional growth, and a supportive environment that encourages creativity and technical excellence.

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Contact Details:

Apprize Technology Solutions Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Full-Stack Data Engineer β€” ML/AI & FinTech in London

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When you find a suitable opening like Senior Full-Stack Data Engineer β€” ML/AI & FinTech at Apprize Technology Solutions, 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 Senior Full-Stack Data Engineer β€” ML/AI & FinTech in London

Full-Stack Development
Machine Learning
AI Applications
Collaboration
Quality Code Delivery
Technical Experience
Financial Markets Knowledge

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!

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Craft a Tailored Cover Letter:For a full-time role at Apprize Technology Solutions, 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 Apprize Technology Solutions. 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 Apprize Technology Solutions

✨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!

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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 Apprize Technology Solutions!

✨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.