Aws Engineer (Python)

MLOps Engineer – Edinburgh – Hybrid We are collaborating with an innovative AI/Machine Learning start-up in Edinburgh that is redefining how data is processed in creative industries.
This growing company is at the forefront of combining NLP, Large Language Models (LLMs), and cutting-edge machine learning practices to turn unstructured data into actionable insights.
Their platform serves industries such as media, advertising, and entertainment, enabling companies to optimise workflows and extract valuable insights from massive amounts of creative content like social media posts, videos, and customer feedback.
By bridging the gap between creativity and data, this start-up is empowering brands to connect with audiences like never before.
As an MLOps Engineer, y ou will be pivotal in building and optimising scalable AI and ML pipelines to support advanced NLP and LLM applications.
Automating model training, testing, deployment, and monitoring using tools like MLflow, Kubernetes, or Docker.
Collaborating with data scientists and engineers to integrate AI solutions into the company's cloud-based platform.
Ensuring scalability, reliability, and performance of deployed models using AWS infrastructure.
Keeping up with the latest trends in MLOps, cloud technologies, and machine learning to maintain a state-of-the-art platform.
To excel in this role, you'll need: Proven experience with MLOps tools and frameworks, including CI/CD for ML workflows.
Proficiency in cloud platforms such as AWS, with experience in services like Lambda, S3, or EC2.
Strong programming skills in Python and familiarity with machine learning frameworks like TensorFlow or PyTorch.
Location: Hybrid – 2 days per week in the Edinburgh office, based in Old Town.