Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team in developing advanced Machine Learning solutions and analytics.
- Company: Join Jet2, a leading travel company redefining travel experiences for millions.
- Benefits: Enjoy hybrid working, colleague discounts, and annual pay reviews.
- Why this job: Be part of an innovative team shaping the future of travel with cutting-edge technology.
- Qualifications: Strong technical background in ML, Python, and cloud infrastructure required.
- Other info: Opportunity to mentor and grow within a dynamic, international environment.
The predicted salary is between 43200 - 72000 £ per year.
As our Machine Learning Engineering Manager, you’ll play a key part of the Data Science Management Team, leading the production of advanced analytics and Machine Learning initiatives. In this exciting new role, you’ll collaborate with technical and data teams, building out platform capability and processes to serve our Data Science and analytics community.
As our Machine Learning Engineering Manager, you’ll have access to a wide range of benefits including:
- Hybrid working (we’re in the office 3 days per week)
- Colleague discounts on Jet2holidays and Jet2.com flights
- Annual pay reviews
What you’ll be doing:
With strong experience in managing technical teams and Machine Learning development lifecycles, you’ll be responsible for the day-to-day management of the Machine Learning Engineering team, ensuring they’re delivering high quality solutions. You’ll also:
- Coach and develop the MLE team to leverage cutting edge Data Science, Machine Learning & AI technology.
- Maintain, evolve and develop our platforms to ensure robust, scalable environments for Data Scientists.
- Provide technical guidance, support and mentorship to team members, helping them grow in their roles.
- Stay current with industry trends and advancements in AI and ML to support the company’s data strategy.
- Establish and enforce best practices for ML & AI model deployment and monitoring.
What you’ll have:
You’ll be highly numerate with a strong technical background with a proven ability to maintain hands-on technical contribution whilst managing a team. You’ll have:
- Experience of training, evaluating, deploying and maintaining ML models.
- Sound understanding of data warehousing and ETL tools.
- Strong technical skills in Python and PySpark for data processing.
- Familiarity with Snowflake, RDBMS or other databases.
- Experience of working with Cloud infrastructure.
- Experience of building infrastructure as code using technologies such as Terraform.
- Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch.
- Strong drive to master new tools, platforms, and technologies.
- Methodical approach with good attention to detail.
- Effective communication skills – Ability to work with international teams and across cultures.
Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
Machine Learning Engineering Manager employer: Jet2
Contact Detail:
Jet2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineering Manager
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning and AI. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field of Machine Learning and Data Science. Attend industry meetups or webinars, and connect with current employees at Jet2 on platforms like LinkedIn to gain insights about the company culture and expectations.
✨Tip Number 3
Prepare to discuss your hands-on experience with ML models and technical tools like Python and PySpark. Be ready to share specific examples of projects you've led or contributed to, as this will demonstrate your capability to manage a team while being technically proficient.
✨Tip Number 4
Showcase your leadership skills by preparing examples of how you've coached or mentored team members in the past. Highlighting your ability to develop talent within your team will resonate well with the hiring managers at Jet2.
We think you need these skills to ace Machine Learning Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing technical teams and your hands-on skills in Machine Learning. Emphasise your familiarity with Python, PySpark, and any relevant ML frameworks like Scikit Learn or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Machine Learning and your leadership style. Mention specific projects where you've successfully led teams or implemented ML solutions, showcasing your ability to coach and develop others.
Showcase Relevant Experience: When detailing your work history, focus on your experience with data warehousing, ETL tools, and cloud infrastructure. Highlight any instances where you've built infrastructure as code using Terraform or similar technologies.
Prepare for Technical Questions: Anticipate technical questions related to ML model deployment and monitoring. Be ready to discuss your approach to staying current with industry trends and how you’ve applied new technologies in past roles.
How to prepare for a job interview at Jet2
✨Showcase Your Technical Expertise
As a Machine Learning Engineering Manager, it's crucial to demonstrate your strong technical background. Be prepared to discuss your experience with ML models, Python, and cloud infrastructure in detail. Highlight specific projects where you led technical teams or contributed hands-on.
✨Emphasise Leadership Skills
This role requires managing a team, so be ready to talk about your leadership style. Share examples of how you've coached and developed team members, and how you ensure high-quality solutions are delivered. Discuss your approach to mentoring and fostering a collaborative environment.
✨Stay Current with Industry Trends
The field of AI and ML is constantly evolving. Make sure to mention any recent advancements or trends you've been following. This shows your commitment to staying updated and your ability to integrate new technologies into your team's work.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Prepare scenarios where you had to overcome challenges in ML model deployment or team management. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
