14 of 14 Amazon SageMaker Jobs in Slough

integration challenges. You will help design and deliver high-quality, scalable features, including AI-enhanced flows, predictive monitoring tools, and automation capabilities powered by Amazon Bedrock, Amazon SageMaker, and other modern AI/ML frameworks. You’ll work cross-functionally to translate product vision into technical outcomes … sophisticated server-side and client-side features. Collaborate on the design and integration of AI/ML models into platform features, leveraging tools like Amazon Bedrock, SageMaker, and other AWS native services. Investigate and prototype the use of natural language processing, anomaly detection, and intelligent automation in the … a willingness to collaborate effectively within a team. A keen focus on improving user experience Nice to have: Experience with Integration Platforms. Familiarity with Amazon SageMaker, Amazon Bedrock, or similar ML/AI platforms (or willingness to learn quickly) Exposure to LLMs, vector databases, or embedding techniques More ❯

a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform. Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures. Comfortable working with LLMs More ❯

Collaborate with ML/AI Teams Package and deploy large‐language‐model (LLM) training jobs on distributed GPU clusters (Slurm, Ray, Kubeflow, or AWS SageMaker). Optimize model‐serving (Triton, vLLM, TorchServe) for low‐latency, high‐throughput inference. Cost & Performance Optimization Track cloud spend, right‐size resources, and introduce More ❯

statistical modelling, machine learning (supervised and unsupervised), deep learning, and MLOps. Proficiency in Python, SQL, and data science platforms such as Dataiku, Azure Synapse, SageMaker, or similar. Data Ecosystem Knowledge : Experience with cloud-native data platforms (e.g., AWS, Azure, GCP), scalable data pipelines, and version-controlled model deployment environments. More ❯

right approach Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision Comfortable working with AWS services (e.g. SageMaker, Lambda) Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight Willingness to learn the basics of backend More ❯

tried before. Challenge conventional wisdom about what's possible with current AI technologies. Required Skills & Experience: Experience with AWS AI services (e.g., AWS Bedrock, SageMaker Studio, Lambda, EKS ) and/or Azure AI services (e.g., Azure OpenAI, Azure Cognitive Service, Azure ML). Experience with designing, building and operating More ❯

Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre-sales of Data Engineering More ❯

Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN More ❯

ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using AWS (SageMaker, EC2, EKS, Lambda … in Python, with additional experience in C/C++ for performance-sensitive applications. • Tooling Knowledge: Proficiency in MLOps frameworks such as MLflow, Kubeflow, or SageMaker Pipelines; familiarity with Docker and Kubernetes. • Optimization Techniques: Hands-on experience with model performance optimization techniques and distributed training frameworks (e.g., DeepSpeed, FSDP, Accelerate More ❯

tools. · Experience with containerization, image building, and deployment (e.g., Docker, Kubernetes optional). Cloud & Infrastructure: · Hands-on experience with AWS services for ML workloads (SageMaker, EC2, EKS, etc.) or equivalent services in Azure/GCP. · Ability to manage cloud infrastructure to ensure high availability, scalability, and cost efficiency. Nice … to-Have · Experience with ML orchestration platforms like MLflow, SageMaker Pipelines, Kubeflow, or similar. · Familiarity with model quantization, pruning, or other performance optimization techniques. · Exposure to distributed training frameworks like Unsloth, DeepSpeed, Accelerate, or FSDP. More ❯

Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning … Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically More ❯

Company My client are a fast-growing startup revolutionising the hospitality industry by connecting businesses with a flexible, student-powered workforce. The platform enables partners—from local pubs to multinational chains—to optimise staffing in real-time, enhancing efficiency and More ❯

Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter Oliver Bernard are currently working with a Consultancy client of ours who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a … of IaC experience with Terraform Hands-on work with CI/CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35 … operates a remote working model (for UK based candidates only). Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter More ❯

Senior Data Scientist – 6 Month Contract Remote - £525 - 575/day Inside IR35 Spinks are partnered with a leading UK Consultancy who are looking for an experienced Data Scientist to join on an exciting project in the early stages of More ❯