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- Tasks: Develop and optimise AI solutions for various industries using advanced machine learning techniques.
- Company: Join a globally recognised tech leader committed to innovation and collaboration.
- Benefits: Enjoy exceptional perks, career growth opportunities, and a supportive work culture.
- Why this job: Be part of a dynamic team driving impactful AI solutions in a fast-paced environment.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field with 3+ years of AI/ML experience.
- Other info: Work with cutting-edge tools and technologies while collaborating across multidisciplinary teams.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a talented AI Engineer to join our dynamic team, where you will play a key role in developing cutting-edge artificial intelligence solutions. This position offers the opportunity to leverage your expertise in machine learning, deep learning, and AI applications to deliver impactful solutions across diverse industries such as healthcare, retail, and telecom. This role offers an exciting opportunity to contribute to innovative AI solutions, driving value across multiple industries while growing within a supportive and forward-thinking team.
Key Responsibilities:
- Model Implementation and Fine-Tuning: Customize and optimize pre-trained AI models to meet industry-specific requirements.
- Cloud-Based AI Services: Develop and deploy AI solutions using cloud platforms, with a focus on AWS Bedrock and Azure OpenAI.
- Model Optimization: Enhance AI models for superior performance, accuracy, and real-world applicability.
- Hallucination Reduction: Apply advanced techniques to reduce AI hallucination and improve model reliability and trustworthiness.
- Vector Databases: Utilize vector databases like PostgreSQL with pgvector for efficient similarity search and AI-driven information retrieval.
- Cross-Functional Collaboration: Work closely with multidisciplinary teams to integrate AI capabilities into products and services seamlessly.
Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
- Experience: Minimum of 3+ years of hands-on experience in AI/ML development.
- Programming Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras.
- Cloud Expertise: Demonstrated experience with cloud-based AI platforms such as AWS Bedrock and Azure OpenAI.
- Vector Database Knowledge: Familiarity with vector databases and techniques for similarity search.
- AI/ML Expertise: Comprehensive understanding of AI/ML algorithms, architectures, and best practices.
- Data Proficiency: Skills in data preprocessing, feature engineering, and model evaluation.
- Soft Skills: Strong problem-solving abilities and excellent communication skills.
Preferred Skills:
- Experience with deploying scalable AI solutions in production environments.
- Knowledge of emerging AI trends and tools to enhance solution development.
- Ability to work in agile development teams and adapt to evolving project requirements.
Why Join Us?
- Opportunity to work with a globally recognized technology leader.
- Exposure to cutting-edge tools, technologies, and challenging projects.
- Collaborative and innovative work environment.
- Exceptional benefits and a strong focus on career growth.
AI/ML Engineer employer: Vettio
Contact Detail:
Vettio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning. Being well-versed in current trends and technologies will not only boost your confidence but also impress us during discussions.
✨Tip Number 2
Showcase your hands-on experience with cloud platforms like AWS and Azure. Prepare to discuss specific projects where you've deployed AI solutions, as this practical knowledge is crucial for the role.
✨Tip Number 3
Brush up on your skills with vector databases and similarity search techniques. We value candidates who can demonstrate their understanding of these concepts and how they apply to real-world scenarios.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you collaborate with cross-functional teams. We appreciate candidates who can articulate their soft skills alongside their technical expertise.
We think you need these skills to ace AI/ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on specific projects where you've implemented or optimised AI models, especially using Python and frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your skills align with the job requirements. Mention your experience with cloud platforms like AWS Bedrock and Azure OpenAI, and how you can contribute to the team.
Showcase Your Projects: If possible, include links to your GitHub or portfolio showcasing your AI/ML projects. Highlight any work involving vector databases or model optimisation, as this will demonstrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML algorithms and model evaluation. Brush up on your knowledge of hallucination reduction techniques and be ready to discuss your problem-solving approach in previous projects.
How to prepare for a job interview at Vettio
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML frameworks like TensorFlow, PyTorch, or Keras. Bring examples of projects where you've implemented and fine-tuned models, as this will demonstrate your hands-on expertise.
✨Understand Cloud Platforms
Since the role involves cloud-based AI services, make sure you can talk about your experience with AWS Bedrock and Azure OpenAI. Familiarise yourself with how these platforms work and be ready to discuss any projects you've completed using them.
✨Discuss Collaboration Experience
Highlight your ability to work in cross-functional teams. Prepare examples of how you've collaborated with other departments to integrate AI solutions into products, as this is crucial for the role.
✨Stay Updated on AI Trends
Demonstrate your knowledge of emerging AI trends and tools. Being able to discuss recent advancements in AI/ML will show your passion for the field and your commitment to continuous learning.
