Machine Learning Engineer

📢 Machine Learning Engineer 📢

🌐 Manchester – (Hybrid) 1 days on site

💰 Up to £65k + Benefits

💻 Python, PyTorch, TensorFlow, NLP, LLMs, Cloud (AWS preferred)

Why this role?

• Work with some of the most talented professionals within the AI/ML space.
• Part of one of the most exciting scale ups in the north
• Access opportunities for career development and advancement within a growing company.
• Receive a competitive salary up to £65,000, along with a comprehensive benefits package.

About them:

One of the most exciting scale ups in the north, who are building solutions that leverage the power of AI and machine learning to solve real real-world problems. They’re on the lookout for a talented and motivated Machine Learning Engineer to help drive the development of their AI-driven products.

Key Responsibilities:

• Design, develop, and deploy machine learning models for various applications.
• Collaborate with data scientists and engineers to preprocess, clean, and prepare data for modelling.
• Optimize machine learning algorithms for performance and scalability.
• Develop and maintain model pipelines, monitoring systems, and infrastructure.
• Research and implement state-of-the-art machine learning techniques and tools.
• Evaluate model performance and make adjustments to improve accuracy and efficiency.

What do we want from you?

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field is advantageous.
• Proven experience working as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python (with libraries such as TensorFlow, PyTorch, scikit-learn).
• Experience with machine learning frameworks, deep learning, and NLP (Natural Language Processing).
• Solid understanding of data structures, algorithms, and statistical methods.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).

If you’re passionate about AI and machine learning and want to be part of a forward-thinking team, we’d love to hear from you!