1 to 25 of 30 Remote/Hybrid Amazon SageMaker Jobs

MLOps Engineer (CloudFormation, SageMaker, Glue, Lambda, Spark, Python) - Glasgow and remote - 11 months+/RATE: £306 per day inside IR35 One of our Blue Chip Clients is urgently looking for an MLOps Engineer (CloudFormation, SageMaker, Glue, Lambda, Spark, Python For this role you will need to be onsite … strong expertise in AWS-native services, infrastructure automation, and end to end ML workflow operations. The ideal candidate will have deep experience with CloudFormation, SageMaker, Glue, Lambda, Spark, and Python, along with solid understanding of machine learning concepts, data pipelines, model monitoring, and production deployment. Key Responsibilities Design, automate ...

experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation, A/B testing, and statistical evaluation. Proven track record transitioning models from ...

technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced ...

data science roles (senior level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance ...

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 ...

inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with ...

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 ...

related technical discipline Bonus Skills/Experience Understanding of MLOps, model serving, scaling and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker) Experience building streaming + batch data ingestion and transformation pipelines (Spark/Airflow/Beam) Mobile and front-end web application development experience What We Offer ...

vector databases (e.g., FAISS, Pinecone) Familiarity with LLM evaluation techniques, including prompt engineering and performance benchmarking Experience with AWS cloud infrastructure and services (e.g., SageMaker, Lambda, DynamoDB) Understanding of MLOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring tools Bachelor's or Master's degree in Computer ...

Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow, or Apache Beam . Background in front ...

Libraries: XGBoost, SKlearn, Tensorflow or PyTorch. In depth experience building solutions using public clouds such as AWS, GCP. Experience using ML platforms like SageMaker, H2O, DataRobot, etc. Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc. Experience ...

marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...

moving beyond simple one-off scripts. AWS AI/ML Tools: Direct experience provisioning and managing the underlying infrastructure for key AI services, specifically: Amazon SageMaker: Setting up and optimizing environments for notebooks, training jobs, and inference endpoints. Amazon Bedrock: Integrating and managing access to foundation models ...

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 such as GitHub Actions Understanding of monitoring and logging tools (e.g., NewRelic, Grafana ...

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 ...

capital requirements, PD/LGD/EAD modelization, credit card fraud, anti-money laundry modelization). Experience with cloud ML platforms, specifically AWS Sagemaker, is a plus. Knowledge of Large Language Models (LLMs) is a plus. Traits Highly collaborative and actively help yourself (and others) be successful. A strong ...

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 ...

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 ...

Experience working in an agile delivery environment Strong problem‐solving skills and attention to detail Desired Skills: Experience with cloud‐based ML services (AWS SageMaker, Azure ML, Databricks) Familiarity with MLOps practices and model lifecycle management Experience with NLP, deep learning, or computer vision Knowledge of data visualisation tools ...

production systems and the unique challenges of scaling AI workloads. Experience in orchestration for AI/ML workloads. Familiarity with MLOps tools (e.g., AWS SageMaker, Bedrock, Kubeflow, MLflow). Strong understanding of compliance and governance in AI/ML platforms. Traits: Excellent collaboration and communication skills, with the ability ...

/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 ...

engineering with GitHub Actions and/or Argo CD. Preferred/Bonus Research experience in edge AI or constrained/offline deployments. MLOps experience (Sagemaker, Kubeflow, ZenML). Experience building RESTful services around AI pipelines. ISO 27001, NIST SSDF, OWASP SAMM, or GDPR compliance literacy. Experience with AWS Karpenter ...

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 ...

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 ...

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 ...