Full-Time · Remote engineer

Remote engineer in Paisley

N Consulting Ltd N Consulting Ltd Paisley
Full-Time AI EngineeringMachine LearningPrivacy Engineering
Employment
Full-Time
Salary
60000 - 80000 £ / year (est.)

About the role

Role

AI Engineer

Experience: 8-10years

Location

London

Contract duration

12 months

Job Description

Proven experience as an AI, Machine Learning, or Privacy Engineer.

  • Proficiency in programming languages such as Python is added advantage.
  • Experience with deep learning frameworks like Tensor Flow, Py Torch, or JAX.
  • Experience working with multi-cloud technologies. GCP is mandatory.
  • Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders
  • Experience with adversarial testing and robustness evaluation of AI models.
  • Experience in the end-to-end development of AI/ML models and applications.
  • Ability to lead and train the team on model training

Your tasks

Lead AI projects, develop models, and train teams in a dynamic environment.

Your profile

8-10 years in AI/ML, proficiency in Python, and strong communication skills.

What's also included

Competitive pay, flexible remote work, and opportunities for professional growth.

Tech stack & ways of working

AI Engineering Machine Learning Privacy Engineering Python Deep Learning Frameworks TensorFlow PyTorch JAX Multi-Cloud Technologies GCP Analytical Skills Communication Skills Adversarial Testing Robustness Evaluation End-to-End Development of AI/ML Models

Remote engineer in Paisley employer: N Consulting Ltd

As a Remote Java Developer with Microservices at our Edinburgh-based company, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer competitive benefits, including flexible working arrangements and opportunities for professional development, ensuring you can grow your skills while contributing to impactful projects. Join us to be part of a forward-thinking team that values your expertise and fosters a supportive environment for career advancement.

View N Consulting Ltd profile

Contact Details:
N Consulting Ltd Recruitment Team

Your perspectives

Join a cutting-edge team and shape the future of AI technology.

StudySmarter Expert Advice

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 N Consulting Ltd!

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 engineer at N Consulting Ltd.

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 N Consulting Ltd.

Apply Directly through Our Website

When you find a suitable opening like Remote engineer at N Consulting Ltd, 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!

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 N Consulting Ltd, 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 N Consulting Ltd. 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 N Consulting Ltd

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 N Consulting Ltd!

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.

Locations

  • Paisley

Ready for the first step?

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