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- Tasks: Develop and train advanced neural networks, deploy models, and create robust APIs.
- Company: Join a cutting-edge tech company focused on AI and machine learning innovations.
- Benefits: Enjoy competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI technology with real-world impact.
- Qualifications: PhD or Master's in Computer Science/Engineering with 4+ years in AI/ML software development.
- Other info: Located in vibrant London, this full-time role offers a collaborative and innovative work environment.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences.
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 utilized through API calls, facilitating a broad range of AI capabilities.
- Continuous Improvement: Continuously monitor, update, and improve the models and the platform based on user feedback and evolving technological trends.
Skills and Qualifications:
- Minimum 4 years of experience in building AI/ML software.
- Strong expertise in machine learning and neural network algorithms.
- Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain.
- Experience with 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:
- Doctorate or Master’s degree in Computer Science, Engineering, or a related field, with a focus on AI/ML.
Job Location: London
AI / ML Engineer employer: AWTG Ltd
Contact Detail:
AWTG Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Engineer
✨Tip Number 1
Network with professionals in the AI/ML field. Attend meetups, webinars, or conferences where you can connect with current AI/ML Engineers. This can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 2
Showcase your projects on platforms like GitHub. Having a portfolio of your work, especially projects involving neural networks and API development, can demonstrate your skills and experience effectively to us.
✨Tip Number 3
Stay updated with the latest trends in AI/ML. Follow relevant blogs, podcasts, and research papers to discuss these topics during interviews, showing your passion and commitment to continuous improvement.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to machine learning algorithms and neural networks. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills before applying.
We think you need these skills to ace AI / ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI/ML, particularly focusing on neural network training and deployment. 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 understanding of the role. Mention your experience with programming languages like Python and libraries such as TensorFlow and PyTorch, and how they relate to the responsibilities outlined.
Showcase Your Projects: If you have any personal or professional projects related to AI/ML, include them in your application. Describe the challenges you faced, the solutions you implemented, and the outcomes achieved to demonstrate your problem-solving skills.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've attended that are relevant to 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 Python, TensorFlow, or PyTorch, to demonstrate your expertise.
✨Understand the Company’s AI Vision
Research StudySmarter's approach to AI and ML. Familiarise yourself with their products and how they utilise AI technologies. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their mission.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to communicate complex ideas effectively.
✨Demonstrate Team Collaboration
Since strong communication skills are essential, be ready to discuss your experiences working in teams. Highlight instances where you collaborated on AI/ML projects, focusing on how you contributed to the team's success and handled any challenges.
