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- Tasks: Lead a team to deliver top-notch machine learning solutions in a dynamic environment.
- Company: A leading financial services provider in the UK with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and excellent benefits package.
- Why this job: Join a forward-thinking team and make a real impact in the financial sector.
- Qualifications: Strong leadership, emotional intelligence, and expertise in Python and ML libraries.
- Other info: Opportunity for career growth in a supportive and innovative culture.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial services provider in the UK is seeking a ML Engineering Manager to lead their team in delivering high-quality machine learning solutions. You will foster an environment that supports innovation while ensuring excellent delivery standards.
The ideal candidate should possess strong leadership skills, emotional intelligence, and expertise in Python and machine learning libraries. Additionally, knowledge of CI/CD processes and cloud technologies will be advantageous.
This hybrid role is based in London with a competitive salary and benefits.
ML Engineering & MLOps Lead — Hybrid, London employer: NewDay
Contact Detail:
NewDay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering & MLOps Lead — Hybrid, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. This is your chance to demonstrate your expertise in Python and CI/CD processes, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common ML engineering questions. Brush up on your leadership skills and emotional intelligence, as these are key traits for the role. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace ML Engineering & MLOps Lead — Hybrid, London
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let your enthusiasm for machine learning shine through! We want to see how your passion aligns with our mission to deliver top-notch solutions in the financial services sector.
Highlight Leadership Experience: Make sure to showcase any leadership roles you've had in the past. We value strong leaders who can foster innovation and guide teams effectively, so share examples of how you've done this in your previous positions.
Be Specific About Your Skills: Don’t just list your skills; give us the details! If you’re proficient in Python or have experience with CI/CD processes, explain how you’ve applied these skills in real-world projects. This helps us understand your expertise better.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at NewDay
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the machine learning libraries relevant to the role. Be prepared to discuss specific projects you've worked on, including the challenges you faced and how you overcame them.
✨Showcase Your Leadership Style
As a potential ML Engineering Manager, it's crucial to demonstrate your leadership abilities. Think of examples where you've successfully led a team or fostered innovation. Highlight your emotional intelligence and how it has helped you manage team dynamics.
✨Understand CI/CD and Cloud Technologies
Familiarise yourself with Continuous Integration/Continuous Deployment processes and any cloud technologies mentioned in the job description. Be ready to explain how you've implemented these in past projects and the impact they had on delivery standards.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team culture, and how they measure success in machine learning solutions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
