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- Tasks: Research and develop AI algorithms for impactful public sector projects.
- Company: Dynamic technology consultancy based in Greater London.
- Benefits: Competitive salary, personal development opportunities, and hybrid working.
- Why this job: Join a team making a real difference with cutting-edge AI technology.
- Qualifications: Strong expertise in machine learning and data science techniques.
- Other info: Collaborative environment with exciting career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A technology consultancy in Greater London is seeking a Machine Learning Engineer to work on impactful public sector projects. You will research and develop AI algorithms, manage MLOps pipelines, and ensure model performance and integration.
Ideal candidates should have strong expertise in machine learning, data science techniques, and a collaborative mindset.
This role provides a competitive salary and benefits, including personal development opportunities and a hybrid working environment.
Senior ML Engineer - Generative AI & MLOps in London employer: Zaizi Ltd
Contact Detail:
Zaizi Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Generative AI & MLOps in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and MLOps space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your work with AI algorithms and MLOps pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and data science techniques. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you, so make sure you check them out and submit your application.
We think you need these skills to ace Senior ML Engineer - Generative AI & MLOps in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your collaborative mindset fits with our team. We love seeing genuine enthusiasm for the work we do.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for candidates who can think critically and adapt, especially when it comes to developing AI algorithms and managing pipelines.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Zaizi Ltd
✨Know Your Algorithms
Brush up on the latest AI algorithms and techniques relevant to generative AI. Be prepared to discuss your experience with specific models and how you've applied them in past projects, especially in the public sector.
✨Showcase Your MLOps Knowledge
Familiarise yourself with MLOps best practices and tools. Be ready to explain how you’ve managed pipelines and ensured model performance in previous roles. Real-world examples will make your answers stand out.
✨Collaborative Mindset is Key
This role values teamwork, so be prepared to share experiences where you successfully collaborated with others. Highlight how you’ve worked with cross-functional teams to achieve project goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to AI in the public sector. This shows your genuine interest and helps you assess if the role aligns with your career goals.
