Machine Learning Engineer - Onsite

Title: Machine Learning Engineer Onsite

Location: Oxford

Workform: Fullyonsite (5x a week onsite)

Salary:

• Entrylevel: 35000 to 50000 per year.
  

• Midlevel: 50000 to 70000 per year.
  

Our client specializes in automating sales engagement through AIdriven tools that research prospects and craft personalized messages significantly enhancing outreach efficiency. By leveraging advanced algorithms it helps sales leaders by allowing them to focus on closing deals rather than spending time on tedious tasks like email and LinkedIn outreach. The AI continuously learns and improves its performance based on user feedback aiming to drive higher engagement and conversion rates.

Responsibilities:

1. Developing and deploying ML models: Building training and deploying machine learning models to production.
   

1. Software development: Writing clean efficient and maintainable code to support ML applications.
   

1. Data preprocessing: Cleaning and organizing data to make it usable for machine learning models.
   

1. Model optimization: Finetuning algorithms for better performance and scalability.
   

1. Collaboration with crossfunctional teams: Working with data scientists software engineers and product managers to integrate ML models into applications.
   

Required Skills:

• Programming: Proficiency in languages such as Python Java or C.
  

• ML Frameworks: Experience with frameworks like TensorFlow PyTorch or Scikitlearn.
  

• Software Engineering: Strong foundation in software engineering principles and practices.
  

• Data Management: Skills in handling large datasets and using databases like SQL or NoSQL.
  

• Statistical Analysis: Understanding of statistical methods and their application in model development.