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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 Reading employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. Attend meetups, webinars, or online events to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your best work in machine learning and deep learning. Share it on platforms like GitHub or your personal website, and make sure to include links when you apply through our site.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We recommend using mock interviews to get comfortable with the process.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds as they make their decision.
We think you need these skills to ace AI/ML Engineer in Reading
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 PyTorch or TensorFlow. If you've deployed solutions in a cloud environment like AWS or Azure, let us know! Real-world applications are what we love to see.
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 appreciate a personal touch that shows your enthusiasm for the role.
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 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 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 discuss how you can contribute to their culture and adapt to a fast-paced setting, highlighting any relevant experiences you've had.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it opens up a dialogue that can make you more memorable.