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- Tasks: Design and deploy cutting-edge AI/ML solutions for real-world applications.
- Company: Join a dynamic startup environment focused on innovation and growth.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional development.
- Why this job: Make an impact in the AI/ML field while working with modern technologies.
- Qualifications: 5-7 years in Data Science/AI-ML with strong Python and deep learning skills.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments.
Key Responsibilities
- Design, build, and optimize machine learning and deep learning models for real-world applications.
- Develop and deploy AI/ML solutions using modern Python-based frameworks.
- Implement NLP models and solutions for structured and unstructured data.
- Build and maintain production-ready ML pipelines, ensuring scalability and reliability.
- Collaborate with cross-functional teams including engineering, product, and data teams.
- Ensure proper model governance, versioning, and CI/CD practices for ML workflows.
Required Skills & Experience
- Data Science & Deep Learning: Strong hands-on experience in Deep Learning using PyTorch or TensorFlow.
- Programming & Frameworks: Proficiency in Python. Experience with web/API frameworks such as Django, Flask, or FastAPI.
- AI & NLP: Practical experience in Artificial Intelligence and Natural Language Processing (NLP).
- Cloud Platforms: Hands-on experience with AWS or Azure environments.
- MLOps & Deployment: Experience in model deployment and productionization, model governance and lifecycle management, version control tools such as Git, and CI/CD pipelines for ML workflows.
Work Environment
- Prior experience working in a startup or high-growth environment is mandatory.
Eligibility Criteria
- Permanent UK Citizenship (mandatory).
- 5–7 years of relevant experience specifically in Data Science and AI/ML Engineering.
Preferred Attributes
- Strong problem-solving and analytical thinking.
- Ability to work independently in a remote or hybrid setup.
- Effective communication and collaboration skills.
AI/ML Engineer in Newport employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Newport
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and NLP. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and coding challenges. Practising with friends or using online platforms can help us nail those tricky technical questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI/ML Engineer in Newport
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and Data Science. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background fits with our fast-paced startup vibe. We love seeing enthusiasm and a bit of personality!
Showcase Relevant Projects: If you've worked on any cool projects related to machine learning or NLP, make sure to mention them! We’re keen to see real-world applications of your skills, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Idyllic Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like PyTorch, TensorFlow, and Python. Brush up on your knowledge of NLP and cloud platforms like AWS or Azure, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss your previous projects in detail, especially those involving model development and deployment. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company Culture
Research the company’s values and work environment, especially since they’re looking for someone with startup experience. Be prepared to share examples of how you’ve thrived in fast-paced settings and how you can contribute to their team dynamics.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team structure, and future projects. This shows your genuine interest in the position and helps you assess if the company is the right fit for you. Plus, it’s a great way to engage with your interviewers!