Remote Machine Learning Engineer

Description:

• The position is for a Machine Learning Engineer working remotely, specifically for UK-based applicants only, with no visa sponsorship available.
• The role involves building and deploying production-grade machine learning systems that address complex business needs for US tech companies.
• Responsibilities include developing scalable data pipelines and feedback loops for model training, integrating machine learning into production systems alongside US product and data teams, and optimizing model performance for accuracy, speed, and cost.
• The engineer will run experiments, conduct A/B tests, and validate approaches statistically.
• Tools used in this role include Python, TensorFlow, PyTorch, Scikit-learn, MLflow, SQL, Docker, and AWS/GCP.

Requirements:

• A Bachelor’s degree in Computer Science, AI, Machine Learning, or a related field is required.
• Candidates must have at least 1 year of experience in a Machine Learning Engineer or similar role.
• Strong Python skills and knowledge of machine learning frameworks such as TensorFlow and PyTorch are essential.
• Hands-on experience in deploying models into production environments is necessary.
• A solid grasp of algorithms, data structures, and statistical modeling is required.
• Familiarity with cloud platforms such as AWS, GCP, or Azure is expected.
• Experience with NLP, computer vision, or recommendation systems is considered a bonus.

Benefits:

• The position is 100% remote, allowing for flexibility in work location for UK-based applicants.
• Employees will have the opportunity to work with cutting-edge AI teams in the US.
• Applicants can access multiple roles with a single application, streamlining the job search process.
• The hiring process is fast and free, making it easier for candidates to secure positions.
• Some roles may offer flexible hours that align with core US working times.