At a Glance
- Tasks: Join a tech-driven team to enhance customer experience using AI and data science.
- Company: Forward-thinking FTSE 100 organisation focused on sustainability and innovation.
- Benefits: Competitive daily rate, fully remote work, and impactful projects.
- Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
- Why this job: Make a real difference in optimising supply chains and driving sustainable growth.
- Qualifications: Proven experience as a Machine Learning Engineer with strong SQL and Python skills.
The predicted salary is between 50000 - 75000 £ per year.
£700-750/day overall assignment rate to umbrella. Fully remote. 3‑6 month initial. Apply today to join a forward‑thinking, tech‑driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.
As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.
Requirements
- Experience: Proven background as a Machine Learning Engineer.
- Technical Skills: Strong in SQL and Python (Pandas, Scikit‑learn, Jupyter, Matplotlib).
- Data transformation & manipulation: experience with Airflow, DBT and Kubeflow.
- Cloud: Experience with GCP and Vertex AI (developing ML services).
- Expertise: Solid understanding of computer science fundamentals and time‑series forecasting.
- Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).
Seniority level: Mid‑Senior level
Employment type: Contract
Job function: Information Technology
Industries: Retail
Machine Learning Engineer employer: Sanderson
At Sanderson, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Belfast. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement, ensuring that our team members thrive in their careers while enjoying competitive rewards and a strong focus on health and safety compliance. Join us to take ownership of impactful projects and be part of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with machine learning. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.
✨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 impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python skills. Practice coding challenges and be ready to discuss your experience with tools like Airflow and GCP. Confidence in your technical abilities can make all the difference!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Machine Learning Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 SQL, Python, and any relevant ML projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our mission of enhancing customer experience. Keep it concise but impactful!
Showcase Your Projects:If you've got any personal or professional projects that demonstrate your skills in data transformation, manipulation, or ML algorithms, make sure to mention them. We love seeing real-world applications of your expertise!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Sanderson
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills, especially with libraries like Pandas and Scikit-learn. Be ready to discuss your experience with data transformation tools like Airflow and DBT, as well as your familiarity with GCP and Vertex AI. The more confident you are in your technical knowledge, the better you'll impress them!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've debugged complex data flows or resolved ML issues in live environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your actions led to successful outcomes.
✨Understand Their Mission
This company is all about using data science and AI for sustainable growth. Familiarise yourself with their products and values, especially their commitment to sustainability. Showing that you align with their purpose can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current ML projects, challenges they face, or how they measure success in their data initiatives. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
