At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions while collaborating with diverse teams.
- Company: Join a forward-thinking tech company based in Edinburgh, embracing hybrid work.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous learning.
- Why this job: Make a real impact by driving innovative AI projects and mentoring future talent.
- Qualifications: Proficiency in Python and AI frameworks, plus experience with cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Location: Edinburgh, UK
Work mode: Hybrid
Experience: 8+ Years
Key Responsibilities:
- Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production.
- Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics.
- Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions.
- Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications.
- Drive data strategy, including data collection, preprocessing, and feature engineering.
- Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments.
- Mentor junior engineers and contribute to best practices in AI development.
Required Skills & Qualifications:
- Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
- Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases).
- Deep understanding of neural networks, reinforcement learning, and generative models.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
- Strong knowledge of SQL/NoSQL databases and data engineering practices.
Soft Skills:
- Excellent problem-solving, communication, and leadership abilities.
Remote AI Engineer in Worthing employer: N Consulting Ltd
As a leading employer in the tech industry, we offer AI Engineers the opportunity to work on cutting-edge projects in a hybrid environment from our vibrant Edinburgh location. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have access to continuous learning and mentorship opportunities. Join us to be part of a forward-thinking team that values your contributions and supports your professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in Worthing
✨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!
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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.
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We think you need these skills to ace Remote AI Engineer in Worthing
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.