151 to 175 of 284 Amazon SageMaker Jobs in the UK

Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and serverless architectures, as well as MLOps practices and tooling (MLflow, Vertex AI, SageMaker). Exceptional at working autonomously in a remote-first environment, with strong communication skills. Benefits: Fully remote, flexible working model with a supportive and collaborative team culture. Opportunity to More ❯

Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and serverless architectures, as well as MLOps practices and tooling (MLflow, Vertex AI, SageMaker). Exceptional at working autonomously in a remote-first environment, with strong communication skills. Benefits: Fully remote, flexible working model with a supportive and collaborative team culture. Opportunity to More ❯

libraries Solid understanding of supervised and unsupervised learning techniques Experience in demand prediction, optimisation, or computer vision is advantageous Comfortable working with cloud platforms (preferably AWS) and services like SageMaker or Lambda Strong mathematical and statistical foundations, with a sharp eye for patterns and insights Willingness to build basic backend development skills (Python/Django or Go) to support More ❯

and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power BI, Tableau, AWS SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment, with strong attention to detail. Desirable: Familiarity with AWS Lake More ❯

and Terraform. Understanding of data governance, lineage tools, and cloud-based data architectures. Skilled in a range of analytics and BI tools (e.g., SQL, Alteryx, Power BI, Tableau, AWS SageMaker, QuickSight). Strong documentation, communication, and stakeholder management skills. Adept at managing multiple priorities in a fast-paced environment, with strong attention to detail. Desirable: Familiarity with AWS Lake More ❯

and optimize AWS-based data infrastructure, including S3 and Lambda, as well as Snowflake. Implement best practices for cost-efficient, secure, and scalable data processing. Enable and optimize AWS SageMaker environments for ML teams. Collaborate with ML, Data Science, and Reporting teams to ensure seamless data accessibility. Implement data pipeline monitoring, alerting, and logging to detect failures and performance More ❯

data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such More ❯

collaboratively across disciplines. ● Experience integrating or leveraging Large Language Models (LLMs) via APIs or platform services (e.g., OpenAI, Anthropic, Cohere). ● Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Kubeflow). ● Experience in startup or fast-paced environments with rapidly evolving requirements Personal qualities ● Ambitious ● Driven ● Ability to work as part of a collaborative team but also work More ❯

Nice to haves Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers Experience working with AWS technologies such as EC2, S3, Sagemaker What do you get for all your hard work? A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles . You More ❯

present proposals, solution briefs, and architecture diagrams. * Drive AWS MAP assessments and support business case creation for migration funding. * Shape AI/ML and GenAI solutions using services like Amazon Bedrock, Sagemaker and Amazon Q * Work with AWS teams on co-selling, funding alignment, and opportunity shaping. * Support RFP responses, SOW creation, and handover to delivery teams. … solutions architecture or presales role. * Strong knowledge of AWS core services, including EC2, S3, RDS, IAM, VPC, Lambda, and container services. * Familiarity with AWS AI/ML services - Bedrock, Sagemaker, Amazon Q, Lex, Comprehend, etc. * Experience designing or supporting AWS migration projects, ideally with exposure to AWS MAP. * Excellent verbal and written communication skills; able to influence both More ❯

Job ID: 3012304 | Amazon Commercial Services Pty Ltd Our operations network, known for our speed, accuracy, and exceptional service, delivers millions of packages and smiles to Amazon customers every day. To keep our operations network secure and assure operational continuity, we are looking for an experienced professional who wants to join our Data Services Management (DSM) team as … and dashboards and stay updated on industry trends and advancements in business intelligence technologies. About the team Working in partnership with our stakeholders, Security and Loss Prevention secures the Amazon supply chain end-to-end and promotes security during business conversations. The DSM team is a support function to Security and Loss Prevention with responsibility to build data management … degree equivalent - Relevant advanced experience with multiple python libraries - Relevant advanced experience creating, deploying, and maintaining machine learning models - Relevant advanced experience with AWS solutions such as S3, Lambda, SageMaker, - Redshift - Understanding of statistical methods (e.g., t-test, Chi-squared) Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and More ❯

objectives and performance to business stakeholders Strong analytical and problem-solving skills Ability to think creatively and insightfully about business problems Nice to have : Proficiency with Snowflake Proficiency with Amazon SageMaker Proficiency with Docker and Kubernetes The Perks We trust you, so we offer flexible working hours, as long it suits both you and your team; Physical and More ❯

will play a key role in designing and implementing AI-driven solutions, leveraging Large Models (LLMs), Generative AI, Open-Source AI tools, and AWS technologies such as Athena and SageMaker . This position requires strong technical expertise, problem-solving skills, and the ability to work collaboratively within a global AI-focused team. Key Responsibilities Develop and optimise AI and … machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source AI frameworks , ensuring model efficiency and accuracy. Collaborate with cross-functional teams to integrate AI-driven capabilities into business applications. Conduct performance optimisation and fine-tuning … ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning, and deployment in production environments. Strong analytical skills with the ability to solve complex AI-related More ❯

PyTorch, scikit-learn, Keras, Natural 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 Engineers to join a forward … PyTorch, scikit-learn, Keras, Natural 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 demanding project focused on developing More ❯

relevant to your interests and your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture. A day in the life The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple … most innovative companies. For Solutions Architect who like to invent, there's no better place to build than on the AWS Startup SA team. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career … is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies More ❯

continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub … continuous improvement of model delivery practices. Required Skills & Experience Solid Python engineering background with some experience in ML model deployment Familiarity with AWS services and cloud-based ML deployment (SageMaker experience preferred but not required) Basic understanding of data warehousing concepts and SQL (Snowflake experience a plus) Experience with or willingness to learn CI/CD tooling (e.g. GitHub More ❯

etc.) Comfortable working across the full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative discipline (Master's preferred) Based … etc.) Comfortable working across the full ML lifecycle Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments Experience with AWS/Azure and SageMaker Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams Degree from a top university in a quantitative discipline (Master's preferred) Based More ❯

with product managers and engineers to explore product innovations arising from emerging technologies and new customer use cases. Technology You'll Use Python, pandas, PyTorch, Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, Google Vertex AI Your Role Responsibilities Research and develop expertise in product innovation areas including unstructured data management, AI governance, and protected cross-entity data sharing. Conduct … including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role Essentials Postgraduate education in Science, Technology, Engineering, or Mathematics. BA/BS or equivalent, or relevant combination of education and experience. Minimum More ❯

control systems Experience with: 2D and 3D computer graphics programming Bayesian statistics NVIDIA Warp and/or JAX, NVIDIA Modulus or similar Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale Computer Vision Python, C++, Rust Learn More About Autodesk Welcome to Autodesk! Amazing … Experience with: 2D and 3D computer graphics programming Visualization techniques Bayesian statistics NVIDIA Warp and/or JAX, NVIDIA Modulus or similar Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc. Computer Vision Python, C++, Rust More ❯

preferably in one or more of the following areas: demand prediction, computer vision or optimisations Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools Strong foundations in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights Ideally: Some experience building More ❯

preferably in one or more of the following areas: demand prediction, computer vision or optimisations Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools Strong foundations in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights Ideally: Some experience building More ❯

at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and a culture to support this. This is a hands-on … at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and a culture to support this. This is a hands-on More ❯

for data science and model development Excellent attention to detail and data quality Clear communication skills and ability to explain complex concepts Familiarity with cloud technologies like AWS and Sagemaker is advantageous Ability to work both independently and as part of a collaborative team TO BE CONSIDERED... Please either apply by clicking online or emailing me directly at . More ❯

systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS preferred) Experience with services like SageMaker , Lambda , or real-time processing tools Understanding of MLOps , versioning, and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus More ❯

systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS preferred) Experience with services like SageMaker , Lambda , or real-time processing tools Understanding of MLOps , versioning, and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus More ❯