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For Companies At a Glance
- Tasks: Lead a team to build AI-driven revenue optimisation solutions for hotels.
- Company: Join a growing tech start-up revolutionising hotel pricing with AI.
- Benefits: Enjoy a competitive salary, remote work flexibility, and career progression opportunities.
- Why this job: Be part of an innovative team making a real impact in a £7 billion industry.
- Qualifications: Strong background in cloud computing, DevOps, and machine learning infrastructure required.
- Other info: Work mostly from home but meet the team in London quarterly.
The predicted salary is between 66000 - 77000 £ per year.
Are you a data savvy hands-on technology leader? You could be joining a well-funded and growing hotel revenue optimisation technology start-up that uses AI and complex algorithms to enable hotels to price their rooms according to demand; this is a £7 billion a year industry and the product is in great demand.
As an Engineering Manager you will lead a small, experienced, Science Platform team that are building and maintaining the Platform as a Service (PaaS) that enables development and operation of AI-first revenue optimisation solutions. You'll remain hands-on 80-90% of the time, driving architectural decisions and ensuring the platform's scalability, reliability and performance. You will input into longer term strategy, partnering with the Product Manager to define and execute technical strategy and the product roadmap and take ownership for the success of critical platform components including data science workflows, cloud environments, observability systems and Ci/CD infrastructure.
Location / WFH: You can work from home most of the time, but must be commutable to London (within 3-4 hours) as you'll be expected to meet up with the team there around once a quarter.
About you:
- You have a strong technical background with cloud computing, distributed systems, and modern DevOps practices.
- You have experience with Machine Learning infrastructure and Data Science workflows.
- You have strong leadership skills and a proven ability to mentor engineers and foster a culture of technical excellence.
- You have experience of taking ownership of complex technical initiatives and can drive them to completion.
- You have excellent communication skills.
What's in it for you:
- Salary to £110k + bonus
- Pension
- Healthcare
- Flexible, remote working
- Training and career progression
Apply now to find out more about this opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Engineering Manager Data MLOps in City of London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager Data MLOps in City of London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially in the context of revenue optimisation. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data science and MLOps community. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your hands-on experience with cloud computing and distributed systems. Be ready to share specific examples of how you've successfully led technical initiatives and mentored team members in previous roles.
✨Tip Number 4
Research the company’s product offerings and their impact on the hotel industry. Understanding their technology and how it fits into the market will allow you to speak more confidently about how you can contribute to their success.
We think you need these skills to ace Engineering Manager Data MLOps in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud computing, distributed systems, and DevOps practices. Emphasise any leadership roles you've held and specific projects where you've driven technical initiatives to completion.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss how your background aligns with the company's goals and mention your hands-on experience in managing teams and mentoring engineers.
Showcase Relevant Projects: Include examples of past projects that demonstrate your expertise in data science workflows and machine learning infrastructure. Be specific about your contributions and the impact these projects had on the organisation.
Prepare for Technical Questions: Anticipate technical questions related to MLOps, cloud environments, and CI/CD infrastructure. Brush up on relevant concepts and be ready to discuss your problem-solving approach and architectural decisions in detail.
How to prepare for a job interview at Client Server
✨Showcase Your Technical Expertise
As an Engineering Manager, you'll need to demonstrate your strong technical background in cloud computing and distributed systems. Be prepared to discuss specific projects where you've implemented Machine Learning infrastructure or optimised data science workflows.
✨Highlight Leadership Experience
This role requires strong leadership skills, so share examples of how you've mentored engineers and fostered a culture of technical excellence. Discuss any initiatives you've led that showcase your ability to drive complex technical projects to completion.
✨Communicate Clearly and Effectively
Excellent communication skills are essential for this position. Practice articulating your thoughts clearly, especially when discussing architectural decisions or technical strategies. Be ready to explain complex concepts in a way that's easy to understand.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and decision-making process. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to platform scalability and reliability.
