At a Glance
- Tasks: Design and deploy machine learning models to predict travel demand using diverse data sources.
- Company: Join Cirium, a cutting-edge tech company transforming travel insights with data science.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with mentorship opportunities and exciting projects.
- Why this job: Make a real impact in the travel industry by solving complex problems with innovative technology.
- Qualifications: Master’s or PhD in relevant fields, strong Python skills, and experience in machine learning.
The predicted salary is between 50000 - 70000 £ per year.
About the Role
Our team at Cirium faces the challenge of using contextual data to decipher what past travel patterns left unexplained. By disrupting historical travel patterns, Covid-19 made contextual data even more critical in predicting intention to travel. Restrictions, sentiment, and special circumstances influence today’s travel decisions more than ever. By joining us, you will have the opportunity to share ownership in solving this problem end to end, from exploring new data sources for building features to designing and putting predictive models into production and ensuring their consistent performance over time. We have terabytes of flights, events, and news data available, and we constantly add new data sources.
What you’ll be doing:
- Design and deploy models improving travel demand prediction using contextual data and other industry sources.
- Explore and extract signals from unstructured (news articles, event websites, and other text sources) data sources to explain anomalies in travel patterns.
- Turn business objectives into engineering and modelling projects, break them down into manageable components, and deliver them autonomously.
- Experiment with feature extraction, model design, and system evaluation.
- Lead and mentor your team and colleagues as well as assist in hiring team members.
What we’re looking for:
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning or related technical field experience.
- Proficiency in Python.
- Experience in working in a production environment, following software engineering best practices, and operating with a scientific mindset.
- Strong understanding of machine learning techniques and algorithms.
- Ability to evaluate models keeping in mind performance, robustness, and maintainability.
- Research or industry experience in machine learning modelling, infrastructure, natural language processing or deep learning.
About The Team
We are a technology and data science team acquired by Cirium, focused on bridging the gap between online media and industry through understanding how demographics make choices by what they have read. One of our primary products, Predict, leverages unstructured data around the web to measure intent for travel.
Machine Learning Engineer employer: Lexisnexis Risk Solutions Inc.
At Cirium, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to tackle complex challenges in the travel industry. As a Machine Learning Engineer, you will not only have access to vast datasets but also enjoy opportunities for professional growth through mentorship and leadership roles within a dynamic team. Our commitment to employee development, combined with the chance to make a meaningful impact in predicting travel patterns, makes Cirium an exceptional employer in the heart of the tech-driven travel sector.
Contact Details:
Lexisnexis Risk Solutions Inc. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that relate to travel demand prediction or data analysis. We love seeing practical examples of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to tackle challenges head-on.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, machine learning techniques, and any relevant projects that showcase your skills in a production environment.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role and how your background aligns with our mission at Cirium. Don’t just repeat your CV; use this space to show your personality and creativity!
Showcase Your Projects:Include links to any relevant projects or GitHub repositories that demonstrate your technical skills and problem-solving abilities. We love seeing practical applications of your knowledge, especially in ML and data extraction.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lexisnexis Risk Solutions Inc.
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, techniques, and their applications in real-world scenarios. This will show that you have a solid grasp of the concepts that are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled unusual problems in the past. Think about times when you had to leverage unstructured data or design predictive models. This will demonstrate your creativity and ability to operate outside your comfort zone.
✨Familiarise Yourself with Contextual Data
Since the role involves working with contextual data, do some research on how it influences travel patterns. Be ready to discuss how you would approach extracting signals from unstructured data sources like news articles and event websites.
✨Emphasise Team Leadership and Collaboration
Highlight any experience you have in leading teams or mentoring colleagues. Cirium values collaboration, so be prepared to discuss how you can contribute to team dynamics and assist in hiring new members.
