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- Tasks: Design and deploy cutting-edge AI/ML solutions for real-world applications.
- Company: Dynamic tech startup focused on innovation and growth.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional development.
- Why this job: Join a fast-paced environment and make a real impact with AI technology.
- Qualifications: 5-7 years in Data Science/AI-ML, strong Python skills, and experience with cloud platforms.
- Other info: Collaborative culture with excellent career advancement opportunities.
The predicted salary is between 60000 - 84000 £ 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 Woodside employer: Idyllic Services
Contact Detail:
Idyllic Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Woodside
✨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. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and deep learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI/ML interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace AI/ML Engineer in Woodside
Some tips for your application 🫡
Read the Job Description Thoroughly: Before you dive into your application, take a moment to really understand what we're looking for. Familiarise yourself with the key responsibilities and required skills so you can tailor your application to show us you're the perfect fit.
Showcase Your Experience: When writing your application, highlight your hands-on experience in AI/ML, especially with tools like PyTorch or TensorFlow. We want to see how your background aligns with our needs, so don’t hold back on those relevant projects!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to see why you’d be a great addition to our team. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
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 your previous experiences align with a fast-paced, collaborative setting. This shows that you’re not just a fit for the role, but also for the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the company. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.