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For Companies At a Glance
- Tasks: Develop and train advanced neural networks, deploy models, and create robust APIs.
- Company: Join a forward-thinking tech company focused on AI and machine learning innovations.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI with impactful projects.
- Qualifications: 3+ years in AI/ML, strong programming skills, and a relevant degree required.
- Other info: Collaborate in a creative environment that values innovation and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a goal-oriented and driven AI/ML Engineer with relevant experience.
Key Responsibilities
- Neural Network Training: Develop and train advanced neural network models to meet specific functional requirements.
- Deployment and Integration: Efficiently deploy these neural networks on servers, ensuring optimal performance and scalability.
- API Development: Create robust API endpoints for model access, enabling seamless integration with external systems or applications.
- Platform Development: Architect and develop a user-friendly platform where multiple AI models are accessible and can be utilised through API calls, facilitating a broad range of AI capabilities.
- Continuous Improvement: Monitor, update, and improve the models and the platform based on user feedback and evolving technological trends.
Skills And Qualifications
- Minimum 3 years of experience in building AI/ML software.
- Strong expertise in machine learning, neural network algorithms, and generative AI applications.
- Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy, LangChain, FastApi, and LangGraph.
- Experience with RAG applications, server deployment, cloud computing environments, and API development.
- Good understanding of software engineering best practices.
- Excellent problem-solving abilities and a keen eye for detail.
- Strong communication skills to collaborate effectively in a team-oriented environment.
Educational Requirements
- Bachelors or Masters degree in Computer Science, Engineering, or a related field, with a focus on AI/ML.
AI / ML ENGINEERS employer: AWTG Ltd.
Contact Detail:
AWTG Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML ENGINEERS
✨Tip Number 1
Make sure to showcase your hands-on experience with neural networks and AI/ML projects during any networking opportunities. Attend relevant meetups or conferences where you can connect with industry professionals and discuss your work.
✨Tip Number 2
Engage in online communities and forums related to AI and ML, such as GitHub or Stack Overflow. Share your projects and contribute to discussions; this will help you build a reputation and may lead to job referrals.
✨Tip Number 3
Consider creating a portfolio that highlights your AI/ML projects, especially those involving API development and deployment. This will give potential employers a clear view of your skills and practical experience.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI/ML technologies. Follow influential figures in the field on social media and read relevant publications to ensure you can speak knowledgeably about current developments during interviews.
We think you need these skills to ace AI / ML ENGINEERS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, particularly focusing on neural network training and API development. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and your relevant skills. Mention your experience with programming languages and libraries specified in the job description, and explain how you can contribute to the company's goals.
Showcase Relevant Projects: If you have worked on any projects related to AI/ML, especially those involving deployment and integration, be sure to include them in your application. Describe your role and the impact of these projects.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed in AI/ML. This shows your commitment to staying updated with technological trends and continuous improvement, which is crucial for this role.
How to prepare for a job interview at AWTG Ltd.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms and neural networks in detail. Bring examples of projects you've worked on, especially those involving TensorFlow or PyTorch, to demonstrate your expertise.
✨Understand the Role's Requirements
Familiarise yourself with the specific responsibilities outlined in the job description. Be ready to explain how your past experiences align with tasks like API development and platform architecture.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as communication is key in a team-oriented environment.
✨Stay Updated on AI Trends
Demonstrate your commitment to continuous improvement by discussing recent advancements in AI/ML. Mention any relevant technologies or trends that could impact the role, showing that you're proactive about learning.
