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- Tasks: Lead a team to develop innovative machine learning algorithms and deploy AI services.
- Company: Renowned tech recruitment firm with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the AI field.
- Qualifications: Extensive experience in AI, strong Python skills, and cloud service proficiency.
The predicted salary is between 43200 - 72000 £ per year.
A renowned tech recruitment firm is seeking a Lead Machine Learning Engineer to lead their Data Science team in the UK. You will oversee the development of data science algorithms and nurture a high-performing team.
Key responsibilities include:
- Implementing data science projects that align with business goals
- Managing and deploying machine learning services using cloud technology
The ideal candidate has extensive experience in AI products, strong software development skills in Python, and is proficient with SQL and cloud services.
Lead ML Engineer – AI Services & Production in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer – AI Services & Production in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those in AI and machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best machine learning projects. This is your chance to demonstrate your expertise in Python, SQL, and cloud services – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead ML Engineer – AI Services & Production in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI products and software development skills in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading a Data Science team and how you can contribute to our goals. Keep it engaging and personal – we love to see your personality!
Showcase Your Cloud Experience: Since managing and deploying machine learning services using cloud technology is key, make sure to highlight any relevant experience you have with cloud services. We’re keen to know how you’ve used these technologies in past projects.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at hackajob
✨Know Your Algorithms
Brush up on your knowledge of data science algorithms and be ready to discuss how you've implemented them in past projects. Be prepared to explain the reasoning behind your choices and how they align with business goals.
✨Showcase Your Leadership Skills
As a Lead ML Engineer, you'll need to demonstrate your ability to nurture and manage a team. Think of examples where you've successfully led a project or mentored others, and be ready to share these experiences during the interview.
✨Cloud Technology Familiarity
Since the role involves deploying machine learning services using cloud technology, make sure you can talk about your experience with cloud platforms. Be specific about the tools you've used and how they've helped you achieve project goals.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and machine learning concepts. Practice coding problems and be ready to solve them on the spot. This will show your strong software development skills and your ability to think critically under pressure.
