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- Tasks: Design and deploy cutting-edge AI/ML solutions for real-world applications.
- Company: Dynamic startup environment focused on innovation and growth.
- Benefits: Competitive salary, remote work options, and opportunities for professional development.
- Why this job: Join a fast-paced team and make an impact in the AI/ML field.
- Qualifications: 5-7 years in Data Science/AI-ML with strong Python 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 employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and NLP. We recommend using platforms like GitHub to share your code and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and practical coding challenges. We suggest doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out!
We think you need these skills to ace AI/ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience in data science, deep learning, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work with machine learning models, especially using frameworks like PyTorch or TensorFlow. If you've deployed solutions in a cloud environment, let us know! This helps us understand your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about AI/ML and how your background makes you a great fit for our team. We love seeing enthusiasm and a bit of personality!
Apply Through Our Website: Don't forget to apply 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 to do!
How to prepare for a job interview at Idyllic Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key 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 specific projects where you've designed and deployed machine learning models. 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
Since the role is in a startup environment, research the company’s culture and values. Be prepared to discuss how you can contribute to a fast-paced team and adapt to changing priorities. This shows that you’re not just a tech whiz but also a good cultural fit.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the company’s approach to AI/ML. This not only shows your interest in the role but also helps you gauge if the company aligns with your career aspirations.
