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- Tasks: Join us as an AI/ML Engineer, building innovative social solutions for global clients.
- Company: Meltwater empowers 27,000 customers with data-driven decisions and fosters a culture of innovation.
- Benefits: Enjoy flexible paid time off, health benefits, hybrid work, and a cycle-to-work scheme.
- Why this job: Be part of a collaborative team that values continuous learning and pushes tech boundaries.
- Qualifications: Bachelor's or master's in computer science; 4-7 years in AI/ML and Data Science required.
- Other info: Work in a vibrant London office with a diverse team committed to inclusivity.
The predicted salary is between 48000 - 84000 £ per year.
Description
What You\’ll Do:
As an AI/ML Engineer at Meltwater, you\’ll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We\’re seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Our culture values continuous learning, team autonomy, and a DevOps mindset.
Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. We seek individuals with experience in Software Engineering in AI/ML and Data Science, with a strong emphasis on cloud infrastructure and containerization, including Docker, Azure, or AWS (Azure preferred). Experience in Data Preparation, Model Lifecycle (training, serving, registries), Natural Language Processing (NLP), and LLMs is required.
In this role, you\’ll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies. If you\’re passionate about distributed systems at scale and extracting insights from vast data, we invite you to join us on this exciting journey.
What You\’ll Bring:
- Bachelor\’s or master\’s degree in computer science or equivalent experience.
- Proven experience as a Software Engineer in AI/ML and Data Science.
- Minimum of 4-7 years of relevant work experience.
- Strong knowledge of Python and software engineering principles (4+ years).
- Experience with cloud infrastructure and containerization (4+ years), Docker required.
- Azure or AWS experience required (Azure preferred).
- Proficiency in TensorFlow / PyTorch (4+ years).
- Knowledge of ML-Ops principles (3+ years).
- Experience in Data Preparation and Model Lifecycle management.
- Good theoretical knowledge of AI/Data Science areas such as NLP, Neural Networks, Topic Modeling, Clustering, Time Series Analysis, Retrieval Augmented Generation, Speech to Text.
- Excellent communication and collaboration skills.
What We Offer:
- Flexible paid time off for work-life balance.
- Secure future with a Creative Pension.
- Cycle-to-work scheme for eco-friendly commuting.
- Health and wellness benefits including Simply Health and Vitality Health Insurance.
- Complimentary CalmApp subscription for mental wellness.
- Hybrid work environment for flexibility.
- Family leave program that grows with your tenure.
- Ongoing professional development and inclusive community.
Where You\’ll Work: 7th floor, 20 Farringdon Street, London, EC4A 4AB
When You\’ll Join: ASAP
Our Story:
At Meltwater, we believe that the right people in the right environment can achieve great things. Our technology empowers 27,000 customers worldwide to make better decisions through data. Our global team of developers, innovators, and problem-solvers embraces challenges and finds new solutions.
Our culture fosters impact, learning, belonging, and celebrating successes. We challenge ourselves to go big, be bold, and build best-in-class solutions. With over 2,200 employees across 50 locations, we support your success and career growth.
We are Meltwater. Inspired by innovation, powered by people.
Equal Employment Opportunity Statement
Meltwater is committed to an inclusive, diverse workplace. We provide equal employment opportunities regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or other protected status. We do not tolerate discrimination or harassment and promote a culture of respect and fairness. We encourage applicants of all backgrounds to join us in driving innovation and positive impact.
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AI Engineer - Level 3 employer: Meltwater
Contact Detail:
Meltwater Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Level 3
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Azure and Docker. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the AI/ML community by participating in forums or attending meetups. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals for opportunities at Meltwater.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving NLP and model lifecycle management. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked in a team environment. Meltwater values teamwork, so sharing examples of successful collaborations can help illustrate that you're a good fit for their culture.
We think you need these skills to ace AI Engineer - Level 3
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and Data Science, particularly focusing on your work with cloud infrastructure and containerization. Use specific examples that demonstrate your proficiency in Python, TensorFlow, and PyTorch.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and your understanding of Meltwater's mission. Mention how your skills align with their needs, especially in areas like NLP and model lifecycle management.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Highlight any experience with distributed systems, data preparation, or innovative solutions you've developed in previous roles.
Highlight Soft Skills: Meltwater values collaboration and communication. Make sure to include examples of how you've successfully worked in teams and contributed to a positive work environment, as well as your ability to learn quickly and adapt.
How to prepare for a job interview at Meltwater
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, cloud infrastructure, and containerization. Highlight specific projects where you've used Docker, Azure, or AWS, and be ready to explain your approach to AI/ML challenges.
✨Demonstrate Collaboration
Meltwater values teamwork, so share examples of how you've worked effectively in a team environment. Discuss any collaborative projects and how you contributed to the team's success, especially in a DevOps context.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities in AI/ML. Brush up on concepts like NLP, model lifecycle management, and ML-Ops principles, and be ready to walk through your thought process during the interview.
✨Express Your Passion for Continuous Learning
Meltwater values continuous learning, so convey your enthusiasm for staying updated with the latest technologies and trends in AI/ML. Share any recent courses, certifications, or personal projects that demonstrate your commitment to professional growth.
