Enterprise AI Engineer β€” Customer-Facing, London

Enterprise AI Engineer β€” Customer-Facing, London

Full-Time 67500 - 82500 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Own enterprise accounts from adoption to renewal, ensuring client success.
  • Company: Cross Border Talents, a leader in AI solutions with a focus on innovation.
  • Benefits: Top London compensation, EMI-eligible equity, and flexible working options.
  • Other info: Dynamic role based in King's Cross with opportunities for career growth.
  • Why this job: Shape product direction while making a real impact in financial services and healthcare.
  • Qualifications: 2–5 years of experience in a relevant field and strong stakeholder management skills.

The predicted salary is between 67500 - 82500 Β£ per year.

Forward Deployed Engineer role in London at Cross Border Talents seeks an Associate with 2–5 years of experience to own enterprise accounts end-to-end from adoption to renewal.

On-site at King's Cross with some flexibility, the position offers top London compensation and meaningful EMI-eligible equity.

You will work with senior stakeholders across financial services and healthcare, shaping product direction while maintaining client outcomes and deployment success.

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Enterprise AI Engineer β€” Customer-Facing, London employer: Cross Border Talents

Cross Border Talents is an exceptional employer, offering a dynamic work culture in the heart of London that fosters innovation and collaboration. With competitive compensation packages and EMI-eligible equity, employees are encouraged to grow their careers while working closely with senior stakeholders in impactful sectors like financial services and healthcare. The company's commitment to employee development and flexible working arrangements makes it an attractive place for those seeking meaningful and rewarding employment.

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Contact Details:

Cross Border Talents Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Enterprise AI Engineer β€” Customer-Facing, 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 Cross Border Talents!

✨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 Enterprise AI Engineer β€” Customer-Facing, London at Cross Border Talents.

✨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 Cross Border Talents.

✨Apply Directly through Our Website

When you find a suitable opening like Enterprise AI Engineer β€” Customer-Facing, London at Cross Border Talents, 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 Enterprise AI Engineer β€” Customer-Facing, London

Problem-Solving Skills
Python
Communication Skills
SQL
Data Engineering
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 Cross Border Talents, 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 Cross Border Talents. 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 Cross Border Talents

✨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 Cross Border Talents!

✨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.