sector clients through the RFI/RFP process, documented bids, and face-to-face presentations. Proficiency in data science platforms like Databricks, Dataiku, AzureML, SageMaker, and machine learning frameworks like Keras, Tensorflow, PyTorch, and scikit-learn. Experience deploying solutions to cloud platforms, such as AWS, Azure, and Google Cloud more »
sector clients through the RFI/RFP process, documented bids, and face-to-face presentations. Proficiency in data science platforms like Databricks, Dataiku, AzureML, SageMaker, and machine learning frameworks like Keras, Tensorflow, PyTorch, and scikit-learn. Experience deploying solutions to cloud platforms, such as AWS, Azure, and Google Cloud more »
Manchester, North West, United Kingdom Hybrid / WFH Options
N Brown Group
to life for business stakeholders and equally convey business needs effectively to technical audiences. Knowledge in working with at least one cloud platform AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML). A growth mindset - Ability to assess the value Machine Learning brings to the business. An excellent understanding more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to increase efficiency in … years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with AmazonSagemaker deployment of LLMs Experience with LLM-related packages, such as PyTorch, Transformers etc. Experience with IaC (Terraform), CI/CD, and test more »
statistical modelling and machine learning. At least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within more »
BS1, Bristol, City of Bristol, United Kingdom Hybrid / WFH Options
ADLIB Recruitment
robust ML frameworks. What experience you’ll need to apply Proven track record in designing and implementing MLOps pipelines. Experience with MLOps frameworks, particularly SageMaker and MLFlow. Strong programming skills in Python, with production environment experience. Expertise in infrastructure management using Terraform/similar. Strong interpersonal skills to engage more »
programming in Python, Jupyter notebooks, Spark, and Docker Professional experience of designing, building and managing bespoke MLOps in cloud environments, using tools such as SageMaker Processing, SageMaker Pipelines, Apache Airflow, and MLflow. Strong, fundamental technical expertise in cloud-native technologies, such as serverless functions, API gateway, container registry more »
