At a Glance
- Tasks: Design and build a machine learning-driven sales forecasting solution for e-commerce.
- Company: Join a growing AI team in a dynamic tech environment.
- Benefits: Hybrid working, potential for long-term contract, and impactful projects.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Shape innovative AI solutions and see your work make a real difference.
- Qualifications: 3+ years in machine learning, strong Python skills, and cloud experience.
The predicted salary is between 50000 - 60000 £ per year.
Location: Surrey
Contract: 3-month initial contract with strong likelihood of long-term (12+ month) rolling extensions
Hybrid Working: 3 days per week in the office
About the Role
We are seeking a Machine Learning Engineer to join a small but growing direct-to-consumer AI team. This hybrid role involves working three days per week in the office and two days remotely. It offers an exciting opportunity to design and build a machine learning–driven sales forecasting solution for e-commerce from the ground up. As a key team member, you will collaborate closely with the AI and Data Science lead to drive the project forward.
Key Responsibilities
- End-to-End ML Ownership: Take full responsibility for developing a machine learning model for e-commerce sales forecasting, including data collection, preprocessing, model training, evaluation, and deployment.
- Data Pipeline Development: Extract, transform, and prepare data for model training using cloud-based data warehouse tools.
- Model Development & Optimisation: Build and refine machine learning models using Python and relevant libraries.
- Cloud Integration: Support model deployment and monitoring within a cloud environment as needed.
- Collaboration & Growth: Work closely with a small, dynamic team to align model outputs with business objectives and contribute to overall team development.
Qualifications & Skills
- Experience: At least 3 years of hands-on experience delivering end-to-end machine learning projects, including data preparation, model development, and deployment.
- Technical Skills: Strong proficiency in Python and common machine learning frameworks. Solid SQL skills, ideally with experience in cloud-based data warehouses. Experience working with cloud platforms. Exposure to time-series forecasting and e-commerce data is advantageous. Familiarity with large language models is a plus.
- Soft Skills: Strong problem-solving abilities, adaptability, and a collaborative mindset. We value team members who are eager to learn and grow.
Why Join Us?
- Be part of a small, agile team where your work has direct impact.
- Opportunity to shape and develop an innovative AI solution from the ground up.
- Strong potential for ongoing extensions and longer-term engagement.
We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability. We are committed to providing reasonable accommodations for individuals with disabilities throughout the application and employment process. Please contact us if you require support.
Machine Learning Engineer (Contract) in Chertsey employer: Bodhi
Join a dynamic and innovative team in Surrey, where as a Machine Learning Engineer, you will have the opportunity to make a significant impact on the development of cutting-edge AI solutions. Our hybrid working model promotes a healthy work-life balance, while our commitment to employee growth ensures that you will continually develop your skills in a supportive environment. With strong potential for contract extensions and a collaborative culture, this is an excellent place for those looking to thrive in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Contract) in Chertsey
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your past projects clearly and confidently, as this will help you demonstrate your expertise and passion for the role.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer (Contract) in Chertsey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning projects, especially those related to e-commerce. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our team. Keep it conversational but professional – we love a bit of personality!
Showcase Your Technical Skills:Since we're looking for someone with strong Python and SQL skills, make sure to mention specific projects where you've used these technologies. We want to know how you’ve tackled challenges in the past and what tools you used to succeed.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Bodhi
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around model development and deployment. Be ready to discuss your past projects in detail, focusing on the end-to-end process and any challenges you faced.
✨Show Off Your Python Skills
Since strong proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding exercises related to machine learning frameworks and data manipulation.
✨Understand the Business Context
Familiarise yourself with e-commerce and sales forecasting. Think about how machine learning can drive business outcomes and be prepared to discuss how your work can align with the company's objectives.
✨Be Ready to Collaborate
This role involves working closely with a small team, so highlight your collaborative mindset. Share examples of how you've worked effectively in teams before, and be open to discussing how you can contribute to the team's growth.
