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- Tasks: Revolutionise financial dispute resolution using GenAI and NLP technologies.
- Company: Leading UK financial advisor focused on innovation.
- Benefits: Competitive salary up to £75k, remote work, and career growth.
- Why this job: Make a real impact by improving financial processes for people across the UK.
- Qualifications: Strong Python skills and experience in ML systems and cloud platforms.
- Other info: Collaborative environment with opportunities to work with diverse teams.
The predicted salary is between 54000 - 90000 £ per year.
Xcede have just started working with the UK’s leading financial advisor. Wanting to reinvent how the whole of the UK resolves financial disputes, you would be having a direct, visible impact allowing for people to receive money faster because of your work! You will also have a tangible effect on the frontline teams who will be using the solutions.
You’ll take their GenAI and NLP capabilities to the next level by building their NLP and Gen AI abilities to improve the business operation. You will also work with architects, product owners, senior developers, business analysts, technology team and stakeholders to help with development, design and assisting in solving real problems with real impact.
Requirements:- Impressive programming skills in Python
- Prior experience in solution design, system design & architectural patterns
- Good understanding of programming, algorithms and modern cloud platforms
- Built and shipped serverless pipelines in a cloud environment (Azure preferred)
- Experience building CI/CD pipelines
- Great understanding of various ML techniques and being able to explain them fully
- Prior experience in building production GenAI systems
If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861
Machine Learning Engineer in London employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and GenAI. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for interviews by practising common ML engineering questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your impressive programming skills in Python and any relevant experience with GenAI and NLP. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include specific projects where you've built and shipped serverless pipelines or worked with CI/CD in a cloud environment. We love seeing real examples of your work, so don’t hold back on the details!
Explain Your ML Techniques: When discussing your experience with various ML techniques, be ready to explain them clearly. We appreciate candidates who can break down complex concepts, as it shows your depth of understanding and ability to communicate effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Let’s make this happen together!
How to prepare for a job interview at Xcede
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python. Be ready to discuss your experience with solution design and architectural patterns, as well as any projects where you've built serverless pipelines in a cloud environment like Azure.
✨Showcase Your ML Knowledge
Prepare to explain various machine learning techniques clearly and confidently. Think of examples from your past work where you've applied these techniques, particularly in building production GenAI systems.
✨Collaborate Like a Pro
Since you'll be working with architects, product owners, and other stakeholders, be ready to discuss how you approach collaboration. Share specific instances where your teamwork led to successful project outcomes.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision for their NLP and GenAI capabilities. This shows your genuine interest and helps you gauge if the role is the right fit for you.
