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- Tasks: Design and develop AI models to enhance products and services.
- Company: Join a growing company focused on innovative AI solutions in the maritime industry.
- Benefits: Enjoy a competitive salary, hybrid work options, and wellness programs.
- Why this job: Work on real-world AI challenges and collaborate with diverse teams.
- Qualifications: Bachelor’s or Master’s in AI/Data Science; 5 years of experience preferred.
- Other info: Ideal for recent grads with hands-on AI experience through internships or projects.
The predicted salary is between 30000 - 50000 £ per year.
We are looking for a highly motivated AI Engineer with a strong foundation in artificial intelligence and experience working with AI-driven products. As an AI Engineer, you will contribute to designing, developing, and deploying AI models and solutions that enhance our products and services. This role is ideal for a recent graduate who has hands-on experience through internships, academic projects, or previous AI-related roles.
Key Responsibilities:
- Design, develop, and optimize machine learning (ML) and deep learning (DL) models to improve AI-powered applications.
- Work with data scientists and software engineers to collect, preprocess, and analyze large datasets for AI training and inference.
- Implement and fine-tune AI algorithms for tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics.
- Deploy and monitor AI models in production environments, ensuring scalability, efficiency, and reliability.
- Collaborate with cross-functional teams to integrate AI solutions into products and business processes.
- Research/Present and stay up to date with the latest advancements in AI, ML, and deep learning.
- Write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks.
- Participate in model evaluation, consulting other teams and helping out CEO of the unit .
Requirements:
- Bachelor’s or Master’s degree in Artificial Intelligence, Data Science or equivalent experience of 5 years.
- Experience with Agentic AI.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps tools.
- Understanding of data structures, algorithms, and software engineering principles and also when to prototype.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to present technical concepts to non-technical stakeholders.
- Experience with LLMs, using tools like openAI, Deepseek etc.
Preferred Qualifications:
- Hands-on experience with real-world AI applications, either through internships, research, or personal projects.
- Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).
What We Offer:
- Competitive Salary and Bonus : We reward your expertise and contributions.
- Hybrid work environment : Combine remote work with regular in-office days to foster collaboration and team spirit.
- Inclusive Onboarding Experience : Our onboarding program is designed to set you up for success right from day one.
- Marcura Wellness Zone : We value your work-life balance and well-being.
- Global Opportunities : Be part of an ambitious, expanding company with a local touch.
- Monthly Performance Support : Our modern performance management framework empowers you to reach your full potential.
- Diverse, Supportive Work Culture : We’re committed to inclusion, diversity, and a sense of belonging for all team members.
If you are passionate about AI and eager to apply your skills to real-world maritime challenges, we would love to hear from you! Apply now and be part of our innovative AI team.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
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AI Engineer employer: Marcura
Contact Detail:
Marcura Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Make sure to showcase any hands-on experience you have with AI applications, whether from internships or personal projects. Highlight specific projects where you've designed or deployed AI models, as this will demonstrate your practical skills.
✨Tip Number 2
Familiarize yourself with the latest advancements in AI, ML, and deep learning. Being able to discuss recent trends or breakthroughs during your interview can set you apart and show your passion for the field.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms and MLOps tools. Be ready to explain how you've used these technologies in past projects, as they are crucial for deploying and monitoring AI models effectively.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with non-technical stakeholders, being able to communicate your ideas clearly will be a valuable asset in your role.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and any projects or internships you've completed. Use keywords from the job description to align your skills with what they are looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how your background makes you a great fit for the role. Mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Technical Skills: In your application, emphasize your proficiency in programming languages like Python and any experience with AI frameworks or tools mentioned in the job description, such as LangChain or cloud platforms.
Prepare for Technical Questions: Be ready to discuss your technical knowledge and problem-solving skills during the interview process. Brush up on topics like data structures, algorithms, and model evaluation techniques to demonstrate your expertise.
How to prepare for a job interview at Marcura
✨Showcase Your AI Knowledge
Be prepared to discuss your understanding of artificial intelligence, machine learning, and deep learning. Highlight any relevant projects or internships where you applied these concepts, and be ready to explain the algorithms and models you used.
✨Demonstrate Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, especially when it comes to data preprocessing, feature engineering, and model evaluation techniques.
✨Familiarize Yourself with Tools and Technologies
Make sure you are comfortable discussing tools like Python, LangChain, and cloud platforms such as AWS or Azure. If you have experience with MLOps tools, be ready to share how you've used them in past projects.
✨Prepare for Collaboration Questions
Since this role involves working with cross-functional teams, think about examples from your past experiences where you collaborated effectively. Be ready to discuss how you communicated technical concepts to non-technical stakeholders.
