MLOps Engineer | AI Robotics Business | Up to £100K | Remote (Quarterly London Visits)

We’re excited to partner with an innovative AI Robotics company in search of a skilled MLOps Engineer to join their dynamic team. This is a fantastic opportunity for someone who thrives in a cutting-edge tech environment and is passionate about deploying machine learning models at scale.

The Role:

As an MLOps Engineer, you’ll collaborate closely with Data Engineering and DevOps teams to optimise and maintain machine learning pipelines, ensuring seamless model deployment and scalability. You'll have the chance to shape the future of AI technology in the robotics space, where innovation is key and challenges are ever-evolving.

What You’ll Bring:

• 3+ years of experienceas an MLOps Engineer, Machine Learning Engineer, Data Engineer, or DevOps Engineer, with a focus on scalable ML pipeline deployments.
• Strong Python programming skills, with hands-on experience using machine learning frameworks (e.g., TensorFlow, PyTorch, etc.).
• Expertise in containerization technologieslike Docker or Kubernetes for building, deploying, and managing scalable applications.
• Proficiency in data engineering, with experience in data pipelines, ETL processes, and data warehousing.
• A proactive, problem-solving mindset with a drive to automate and improve machine learning workflows.

Why Apply?

• Competitive Salary:£80K - £100K, depending on experience.
• Flexible Work:Enjoy the freedom of working remotely, with quarterly visits to London.
• Innovative Projects:Work on advanced AI and robotics solutions that are changing the future.

Location:Remote with quarterly visits to the London office.

MLOps Engineer | AI Robotics Business | Up to £100K | Remote (Quarterly London Visits)