AI Engineer: Lead AI Agent & End-to-End ML Lifecycle in London

AI Engineer: Lead AI Agent & End-to-End ML Lifecycle in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Dex

At a Glance

  • Tasks: Lead the AI lifecycle, from data collection to deployment, on an innovative financial modelling project.
  • Company: Join a dynamic London-based team at the forefront of AI technology.
  • Benefits: Enjoy a competitive salary and the chance to work in a vibrant, collaborative environment.
  • Other info: This is a full-time, in-person role located in Hoxton with great growth potential.
  • Why this job: Make a real impact by shaping cutting-edge AI solutions in finance.
  • Qualifications: Experience in AI development and a passion for building intuitive features.

The predicted salary is between 63000 - 77000 £ per year.

Dex is partnering with a London-based team to recruit an AI Engineer for their cutting-edge financial modeling AI add-in project.

This full-time, in-person role is anchored in Hoxton and targets hand-on builders who can ship code quickly and responsibly.

You will own the complete AI lifecycle, from data collection to SFT and RL, and collaborate with product design to ensure intuitive, visually coherent features while driving the roadmap forward.

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AI Engineer: Lead AI Agent & End-to-End ML Lifecycle in London employer: Dex

Join a pioneering early-stage venture-backed company at the forefront of building foundation models for extreme physics, where you will have the unique opportunity to shape the engineering culture from day one. With a strong focus on innovation and collaboration, this role offers competitive compensation, a dynamic work environment, and the chance to contribute to critical advancements in global infrastructure and energy. You'll be part of a small, research-heavy team that values your expertise and encourages personal growth, making it an excellent place for those looking to make a meaningful impact.

Dex

Contact Details:

Dex Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer: Lead AI Agent & End-to-End ML Lifecycle in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dex!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer: Lead AI Agent & End-to-End ML Lifecycle at Dex.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dex.

Apply Directly through Our Website

When you find a suitable opening like AI Engineer: Lead AI Agent & End-to-End ML Lifecycle at Dex, 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 AI Engineer: Lead AI Agent & End-to-End ML Lifecycle in London

Python
SQL
Data Engineering
Problem-Solving Skills
Communication Skills
Data Pipeline Development
API Integration

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Dex, 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 Dex. 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 Dex

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!

Showcase Your Projects

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 Dex!

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.