Artificial Intelligence Engineer in Slough

Artificial Intelligence Engineer in Slough

Slough Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join the AI Squad to develop and maintain cutting-edge software solutions.
  • Company: Leading London-based Fund Manager with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Exciting projects with real-world impact in a dynamic team environment.
  • Why this job: Dive into AI technologies and collaborate with top engineers and data scientists.
  • Qualifications: 1-2 years of experience in software development and a degree in a related field.

The predicted salary is between 40000 - 50000 £ per year.

Our client, a leading London-based Fund Manager, is looking for an Application Developer to join their growing AI Squad on a permanent basis. You'll work within an established development team, building and maintaining production-quality software whilst getting hands-on with AI and Generative AI technologies. You'll collaborate with experienced engineers and data scientists to integrate AI solutions into live systems, working across APIs, data pipelines and cloud platforms.

What we're looking for:

  • 1 to 2 years of commercial experience
  • Degree in Computer Science, AI, Engineering, Maths, or a related field
  • Strong foundation in Python and/or C#, with good knowledge of OOP principles
  • Familiarity with data science tools (PyTorch, scikit-learn, Pandas etc.)
  • Understanding of LLMs, RAG, or Generative AI concepts
  • Exposure to cloud platforms such as Azure or Snowflake
  • SQL confidence and familiarity with REST APIs

Artificial Intelligence Engineer in Slough employer: Morson Edge (Financial Services)

As a leading Fund Manager based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and hands-on experience with cutting-edge AI technologies, making this an ideal environment for aspiring engineers looking to make a meaningful impact in the financial sector.

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Contact Details:

Morson Edge (Financial Services) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Artificial Intelligence Engineer in Slough

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 Morson Edge (Financial Services)!

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 Artificial Intelligence Engineer at Morson Edge (Financial Services).

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 Morson Edge (Financial Services).

Apply Directly through Our Website

When you find a suitable opening like Artificial Intelligence Engineer at Morson Edge (Financial Services), 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 Artificial Intelligence Engineer in Slough

Python
C#
Object-Oriented Programming (OOP)
Data Science Tools
PyTorch
scikit-learn
Pandas

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 Morson Edge (Financial Services), 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 Morson Edge (Financial Services). 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 Morson Edge (Financial Services)

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 Morson Edge (Financial Services)!

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.