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- Tasks: Dive into simulation and optimization to predict future demand and maximize resources.
- Company: Join an innovative AI startup revolutionizing transport networks with digital twin technology.
- Benefits: Enjoy a hybrid work model and competitive salary ranging from £60,000 to £80,000.
- Why this job: Be part of a cutting-edge team making real-time impacts in transport efficiency and passenger flow.
- Qualifications: Bring 3+ years of experience in optimization/simulation and a strong STEM background (MSc/PhD).
- Other info: Engage in a streamlined hiring process with an intro chat, take-home task, and founder discussions.
The predicted salary is between 48000 - 72000 £ per year.
MACHINE LEARNING ENGINEER
REMOTE/FLEX (1 Day every 2 weeks in London)
SALARY: Up to £75,000
We are working with a growing Tech company looking to apply the cutting edge of AI/LLMs to the property and real estate space.
They are looking for a Machine Learning Engineer with proven experience in LLM's and Knowledge graphs to join their team!
ROLE:
- Develop, deploy and maintain various Machine Learning model pipelines
- Fine tune LLM systems
- Work closely with the software team to deploy models into production
- Apply your experience with knowledge graphs to the space
REQUIREMENTS:
- 2+ Years of experience
- A proven background in LLMs
- Experience with Knowledge graphs is a must have
- strong communication skills
If this role is of interest, please apply here – or reach out to
Machine Learning Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with digital twin technology and its applications in transport networks. Understanding how this technology works will help you demonstrate your knowledge during the interview process.
✨Tip Number 2
Brush up on your skills in simulation and optimization techniques. Be prepared to discuss specific projects where you've applied these methods, as they are crucial for the role.
✨Tip Number 3
Prepare to showcase your experience with predictive modeling and real-time data analysis. Think of examples where you've successfully predicted outcomes based on historical data.
✨Tip Number 4
Engage with the AI and machine learning community online. Networking can provide insights into industry trends and may even lead to referrals for the position.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Company: Research the AI startup and their focus on digital twin technology. Familiarize yourself with their projects and how they utilize simulations and optimization in transport networks.
Highlight Relevant Experience: Emphasize your proven experience in optimization and simulation, as well as your strong background in classical machine learning. Be specific about your past projects and the impact of your work.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job description. Include your MSc or PhD details and any relevant technical skills that demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your understanding of the company's mission. Mention how your skills can contribute to building network state models and predictive modeling for passenger flow.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with simulation and optimization in detail. Highlight specific projects where you've successfully applied classical machine learning techniques, and be ready to explain the methodologies you used.
✨Understand the Company’s Focus
Research the AI startup's use of digital twin technology and how it applies to transport networks. Demonstrating knowledge about their work will show your genuine interest and help you connect your skills to their needs.
✨Prepare for the Take Home Task
Since there is a take-home task involved, practice similar tasks beforehand. Make sure you can clearly articulate your thought process and the decisions you made while working on the task during the review.
✨Engage During the Founders Chat
The founders chat is a great opportunity to ask insightful questions. Prepare thoughtful inquiries about the company's vision, challenges they face in the industry, and how your role as a Machine Learning Engineer can contribute to their goals.
