Remote Applied AI Engineer for Production Agents in London

Remote Applied AI Engineer for Production Agents in London

London Full-Time 81000 - 99000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Build AI agents that answer business questions using SQL and evidence.
  • Company: hiCalibre, a forward-thinking tech company focused on AI solutions.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Flexible hours with a focus on collaboration across EU time zones.
  • Why this job: Join a team shaping the future of AI in a high-trust environment.
  • Qualifications: Experience in AI, data science, and strong problem-solving skills.

The predicted salary is between 81000 - 99000 £ per year.

hi Calibre is hiring an Applied AI Engineer to build production-grade agents that answer business questions with governed SQL and evidence.

You will own the data and agent platform, delivering Slack-native analyst agents and customer-facing routing with strong security controls.

You will work across AI agents, data science, and production models, balancing development of governance signals, evaluation, and auditable outputs in a high-trust environment.

This remote role overlaps EU time zones.

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Remote Applied AI Engineer for Production Agents in London employer: hiCalibre

hiCalibre is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI and data science. With a strong emphasis on employee growth, you will have access to continuous learning opportunities while working remotely in a high-trust environment that values security and governance. Join us to make a meaningful impact by developing cutting-edge solutions that empower businesses across the EU.

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Contact Details:

hiCalibre Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Applied AI Engineer for Production Agents 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 hiCalibre!

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 Remote Applied AI Engineer for Production Agents at hiCalibre.

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 hiCalibre.

Apply Directly through Our Website

When you find a suitable opening like Remote Applied AI Engineer for Production Agents at hiCalibre, 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 Remote Applied AI Engineer for Production Agents in London

Applied AI
SQL
Data Governance
Security Controls
AI Agents Development
Data Science
Production Models

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 hiCalibre, 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 hiCalibre. 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 hiCalibre

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 hiCalibre!

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.