Remote Machine Learning Engineer

Summary

Join Findmypast's engineering team as a Machine Learning Engineer and contribute to building innovative AI/ML solutions for a fast-growing company. You will design, develop, and maintain scalable ML pipelines to enhance user experiences using vast historical data. This remote-first role offers collaboration within a supportive team, opportunities for mentorship, and a chance to make a real impact. Findmypast provides a generous benefits package, including a competitive salary, holiday allowance, pension contribution, health benefits, and flexible working arrangements.

Requirements

• Develop and deploy machine learning models to production, including tasks like data preparation, training, and monitoring
• Build and maintain large-scale ML inference pipelines
• Code to production standards in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn
• Knowledge of and a commitment to sound engineering practices
• Be a strong communicator who enjoys working collaboratively as part of a team

Responsibilities

• Build AI/ML solutions to solve problems such as entity extraction, text classification, summarisation, etc
• Design, develop and maintain scalable end to end ML pipelines
• Use these pipelines to deliver customer-facing experiences
• Mentor and support others to deliver efficient, high-quality implementation at a project level and on your own tasks

Preferred Qualifications

• Knowledge of Docker and Kubernetes
• Experience with workflow and orchestration tools such as Airflow, Dagster or equivalent
• Experience in a Software Engineering role
• Experience with NLP techniques and/or computer vision

Benefits

• Generous holiday allowance with the chance to buy more
• A pension contribution that stands out in the market
• All the health and wellbeing benefits you’d expect and some you wouldn’t
• Remote-first organisation, employees choose how and where in the UK they work best
• 26 Days Holidays + Bank Holidays
• Health cash plan
• Corporate gym discounts
• Excellent pension
• Competitive salary
• Many more staff discounts and benefits