At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions for real-world applications.
- Company: Dynamic startup environment focused on innovation and growth.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional development.
- Why this job: Join a fast-paced team and make a real impact in the AI/ML field.
- 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.
C# Engineer (Remote) employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C# Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. 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 AI/ML projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is especially important for roles like C# Engineer where practical experience is key.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining us. Plus, it gives you a better chance of standing out in the crowd.
We think you need these skills to ace C# Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with Python, deep learning frameworks like PyTorch or TensorFlow, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 our needs. Don't forget to mention your experience in fast-paced environments – we love that startup vibe!
Showcase Your Projects: If you've got any personal or professional projects related to machine learning or NLP, make sure to include them. We want to see your hands-on experience in action, so share 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 shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Idyllic Services
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, PyTorch, and TensorFlow. Be ready to discuss your hands-on experience with these technologies, as well as any projects you've worked on that involved AI/ML solutions. This will show that you're not just familiar with the tools, but that you can actually use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about challenges you've faced in model development or deployment and how you overcame them. This will demonstrate your analytical thinking and ability to thrive in a fast-paced environment.
✨Understand the Company Culture
Research the company’s values and work environment, especially since they’re looking for someone with startup experience. Be ready to discuss how your previous experiences align with their culture and how you can contribute to their team dynamics, whether remote or hybrid.
✨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 gauge if the company is the right fit for you. Plus, it gives you a chance to highlight your enthusiasm for AI/ML and data science.
