At a Glance
- Tasks: Build intelligent models to predict prospects and optimise data signals for revenue.
- Company: A dynamic data-led marketing business with a focus on innovation.
- Benefits: Flexible remote work, competitive pay, and a supportive community.
- Other info: Join a diverse team that values inclusivity and offers growth opportunities.
- Why this job: Make a real impact by driving revenue through cutting-edge machine learning solutions.
- Qualifications: Strong experience in Data Science/ML, Python, and cloud platforms.
The predicted salary is between 50000 - 70000 £ per year.
We're hiring a hands-on ML Engineer to help a growing data-led marketing business unlock the value of its dataset across lead generation and tender platforms.
Responsibilities include:
- Building intelligent models to predict which prospects are most likely to convert.
- Using LLMs to enrich CRM data and extract insight from transcription data.
- Identifying key data signals driving revenue and optimising over time.
- Deploying solutions in a cloud ML environment (GCP / Vertex AI).
Requirements:
- Strong commercial Data Science / ML experience.
- Proficiency in Python and cloud ML platforms (GCP / Vertex AI or AWS SageMaker).
Apply if you're a pragmatic ML Engineer who enjoys building solutions that directly drive revenue. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Machine Learning Engineer praca zdalna in Glasgow employer: Sanderson
Join a dynamic and inclusive team as a Machine Learning Engineer in Glasgow, where your expertise will directly contribute to innovative data-driven marketing solutions. We offer a collaborative work culture that values diversity, alongside opportunities for professional growth and development in cutting-edge technologies like GCP and Vertex AI. Enjoy the flexibility of remote work with the chance to engage with a vibrant community, making a meaningful impact on our business and clients.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer praca zdalna in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect 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 ML projects, especially those using Python and cloud platforms like GCP or AWS. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and practical applications. Be ready to discuss how you've used data to drive revenue and optimise solutions in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from diverse candidates, so don’t hesitate to reach out if you need any support during the process.
We think you need these skills to ace Machine Learning Engineer praca zdalna in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and cloud ML platforms like GCP or AWS SageMaker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about machine learning and how you can help us unlock the value of our dataset. Be specific about your past experiences and how they relate to the job.
Showcase Your Problem-Solving Skills:In your application, highlight instances where you've built solutions that drive revenue. We love pragmatic ML Engineers, so share examples of how you've tackled challenges in previous roles!
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 don’t miss out on any important updates during the recruitment process!
How to prepare for a job interview at Sanderson
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the cloud ML platforms mentioned, like GCP or AWS SageMaker. Brush up on your knowledge of LLMs and how they can enhance CRM data. Being able to discuss specific projects where you've used these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've built models that drive revenue or optimise processes. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your pragmatic approach to machine learning.
✨Understand the Business Context
Familiarise yourself with the marketing business landscape and how data science plays a role in lead generation and conversion. Being able to connect your technical skills to real-world applications will show that you understand the bigger picture.
✨Be Ready for Practical Tests
Expect some hands-on assessments during the interview. Practice coding challenges related to machine learning and data manipulation. This will help you feel more confident and showcase your skills effectively.
