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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 a real 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 Bolton employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Bolton
✨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. Be ready to discuss your experience with Python, PyTorch, and TensorFlow, and have examples of your work handy. Practice common interview questions related to AI/ML to boost your confidence.
✨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 Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Engineer role. Highlight your experience with machine learning, 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 in AI and ML. Whether it's a project using PyTorch or TensorFlow, or an NLP solution you developed, we love seeing real-world applications of your skills. Don't hold back!
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible and avoid jargon that might confuse us. We appreciate straightforward communication!
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 brush up on your knowledge of deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with these tools, as well as any projects you've worked on that showcase your skills in AI/ML.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Highlight your analytical thinking and how you've applied it to develop scalable machine learning solutions or optimise existing models.
✨Familiarise Yourself with CI/CD Practices
Since model governance and lifecycle management are key aspects of the role, be prepared to discuss your experience with CI/CD pipelines for ML workflows. Bring examples of how you've implemented version control and ensured reliability in your deployments.
✨Communicate Effectively
As collaboration is crucial in this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical team members can understand, showcasing your ability to work well in cross-functional teams.