At a Glance
- Tasks: Design and deploy models to improve travel demand predictions using diverse data sources.
- Company: Join Cirium's innovative tech and data science team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and exciting projects.
- Why this job: Make a real impact by solving unique travel prediction challenges with cutting-edge technology.
- Qualifications: Master's or PhD in relevant fields, strong Python skills, and machine learning expertise.
The predicted salary is between 60000 - 80000 £ 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. We are looking for someone with sound technical knowledge in ML, statistics, and software engineering, the creativity to leverage this knowledge in solving unusual problems, and the will to operate while outside his/her comfort zone.
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 in London 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 have access to vast datasets and cutting-edge technology, along with opportunities for professional growth and mentorship within a supportive team environment. Our commitment to employee development and a flexible work-life balance makes Cirium an exceptional employer for those seeking meaningful and rewarding careers.
Contact Details:
Lexisnexis Risk Solutions Inc. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to travel demand prediction or contextual data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical team members.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission at Cirium.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical knowledge in ML, statistics, and software engineering. We want to see how you can creatively apply these skills to solve unusual problems, so don’t hold back!
Tailor Your Application:When applying, customise your CV and cover letter to reflect the specific requirements of the Machine Learning Engineer role. Mention your experience with Python and any relevant projects that demonstrate your ability to work in a production environment.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences without wading through unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
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 prepared to discuss algorithms, techniques, and their applications in real-world scenarios. This will show that you have a solid grasp of the technical knowledge required for the role.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled unusual problems using your creativity and technical skills. Be ready to explain how you approached these challenges and what the outcomes were. This will demonstrate your ability to operate outside your comfort zone.
✨Familiarise Yourself with Contextual Data
Since the role involves working with contextual data to predict travel patterns, do some research on how this data can be leveraged. Bring insights or case studies to the interview that highlight your understanding of its importance in the industry.
✨Prepare to Discuss Team Leadership
As the role involves leading and mentoring, think about your past experiences in team settings. Be ready to share how you've supported colleagues or contributed to hiring processes. This will showcase your leadership qualities and collaborative spirit.
