20 of 20 Amazon SageMaker Jobs in London

orchestration tools like Kubeflow, Airflow, or Metaflow. Cloud Architecture: Expertise in deploying ML workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years ...

engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases ...

PyTorch. Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer. Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI). Experience with CI/CD pipelines and automation tools like GitHub Actions. Understanding of monitoring and logging tools (e.g., NewRelic, Grafana ...

Skills & Experience Technical Skills Strong expertise in Python for data science and ML engineering. Solid hands-on experience with AWS , including services such as Amazon SageMaker . Comfortable with software version control (Git) and collaborative workflows. Experience with experiment tracking/management tools (e.g., SageMaker Studio , MLflow ...

expert should have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn ...

Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company ...

have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited ...

technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation ...

e.g. seaborn) Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g. MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker ...

learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. Demonstrated curiosity ...

LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge ...

/IEC 42001). Experience with synthetic data generation or test corpus construction. Familiarity with experiment tracking tools (Comet/Opik,, MLflow, SageMaker Experiments). Interest in governance, risk, or AI assurance IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business ...

similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical and fair AI practices that ensureequitableoutcomes for all users. Additional Information ...

pipeline *Real time micro batches implementation (5 minutes, hourly, daily) *Mongo/Atlas as alternative implementation (we might land with S3 instead) *SageMakerMLOps/SageMaker Training/SM Model Deployment *Pytorch ...

pipeline Real time micro batches implementation (5 minutes, hourly, daily) Mongo/Atlas as alternative implementation (we might land with S3 instead) SageMakerMLOps/SageMaker Training/SM Model Deployment Pytorch JBG81_UKTJ click apply for full job details ...

Evidence of defining, building and maintaining infrastructure as code using Terraform. Experience of creating cloud-based solutions - specifically AWS, utilising the likes of Athena, Sagemaker and Glue, as well as associated cloud services. You and your role As our Technical lead, you will lead multi-disciplinary teams ...

machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build … tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance and manage retraining over time Collaborate with Data Engineers, BI Developers, and Analysts ...

runtime environments. Work closely with data engineering, platform engineering, security, MLOps, and Independent Model Monitoring (IMM) teams. Contribute to integration efforts with AWS SageMaker, model pipelines, and enterprise data platforms. Use technologies such as AWS, SageMaker, Python, Java, Kafka, Open Telemetry, and cloud-native monitoring stacks. Support governance … data platforms. Proficiency in Python, SQL, Java , and modern data processing frameworks. Experience working with cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Understanding of monitoring frameworks , observability pipelines, and dashboards. Familiarity of event-driven architectures and messaging systems (Kafka, Vert.x, or similar). Knowledge ...

systems across the bank-model registries, feature stores, lineage services, governance controls, dashboards, and reporting pipelines. Work directly with technologies such as AWS SageMaker, Python, SQL, Java, event-driven systems, Open Telemetry, Kafka, and cloud-native monitoring stacks. Support governance of AI systems through transparent metrics, automated reporting … systems or data platforms. Fluency in Python, SQL, Java , and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems , particularly AWS SageMaker (required). Proven experience developing monitoring frameworks , observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar ...

Data Scientist Hybrid Working – Local Site – 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long ...