real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯
real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯
real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯
london (city of london), south east england, united kingdom
algo1
real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and More ❯
HIPAA) Excellent communication, client engagement, and workshop facilitation skills Proven ability to work in matrix environments across global teams Desired skills Exposure to AI platforms like Azure AI, AWS SageMaker, Google Vertex AI Knowledge of PoC packaging and offer development for enterprise clients Experience Experience working with AI CoEs or global delivery teams Benefits Collaborative working environment - we stand More ❯
ensuring models are secure, performant, and aligned with business needs. Key Responsibilities Model Deployment: Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS SageMaker, ensuring scalability and low latency. Monitoring and Observability: Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. … 5+ years in MLOps, DevOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow, Kubeflow, or cloud platforms (AWS SageMaker, Azure ML). Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring. Technical Skills: Proficiency in Python and SQL; familiarity with JavaScript or More ❯
ensuring models are secure, performant, and aligned with business needs. Key Responsibilities Model Deployment : Deploy and manage machine learning models in production using tools like MLflow , Kubeflow, or AWS SageMaker, ensuring scalability and low latency. Monitoring and Observability : Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. … Artificial Intelligence Integration, D evOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow , Kubeflow, or cloud platforms (AWS SageMaker, Azure ML). Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring. Technical Skills : Proficiency in Python and SQL; familiarity with JavaScript or More ❯
required); experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Working knowledge of cloud-native AI/ML services on AWS, Azure, or Google Cloud (e.g., SageMaker, Azure ML, Vertex AI). Understanding of AI red-teaming, threat detection, and incident response in ML environments. Certifications (Preferred): CISSP, Certified AI Security Specialist (CAISS), Microsoft Azure AI More ❯
integration. Familiarity with CI/CD pipelines and modern DevOps workflows. Understanding of authentication, authorization, and web security best practices. Nice-to-haves: Experience deploying ML models using AWS Sagemaker, Hugging Face, or Replicate . Familiarity with WebGL, THREE.js , or other 3D graphics frameworks. Interest in AI, generative models, and spatial computing . More ❯
Relevant skills/qualifications: -Bachelor's Degree -6+ years of relevant experience -Geospatial experience Desired: -Experience with Python, R, SQL, or SAS -Experience with Git -Experience with AWS Sagemaker -Experience with statistics, NLP, Markov-Chain modeling, Linear Algebra, or TensorFlow This opportunity is located in Springfield, VA and requires a TS/SCI + CI Polygraph. : or contact More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
Ada Meher
LangGraph, LlamaIndex Experience with Hugging Face and LoRA/QLoRA for fine-tuning Experience with RAG & Vector DBs eg. FAISS, Weaviate, Pinecone Any experience of MLOps with MLFlow, AWS (SageMaker), CI/CD (GitHub Actions) or similar would be a benefit to an application The employer is well known not only for the forward-thinking approach they have to More ❯
mapping and transformations Experience using a software development life cycle (SDLC) methodology, including project planning and estimating. Experience with Jira. Experience with AWS components in the cloud (ie. S3, Sagemaker, Python, etc) Experience with Snowflake/RedShirt Data platform(s) Experience AIX/DB2 & Windows/Sql Server Experience with Effective oral & written communication skills must have the ability More ❯
years experience AWS cloud and AWS services such as Redshift, DMS, RDS, Glue, S3, Athena, Lambda Experience in designing and managing a data warehouse Experience with AWS Bedrock, Sagemaker and PowerBI desirable Strong capability with SQL in both MySQL and Postgresql flavours About You A self-starter looking to make a positive impact in a rapidly evolving environment Ability More ❯
business practices. Primary Responsibilities Develop reporting on SAP Business Objects, Tableau Dashboards, and create Excel refreshable files through Open Database Connectivity (ODBC) connections and Power Queries Automate processes using Amazon Web Services (AWS), including Step Functions, EventBridge, Simple Storage Service (S3) Buckets, and AWS Glue. Additionally, leveraged SharePoint Site services-such as lists and workflows-integrated through Power Automate More ❯
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
WRK DIGITAL LTD
engineers. This role will require the software and dev ops capabilities of an ML Ops engineer to build ML and CI-CD pipelines, proficiency in Infrastructure as Code and Sagemaker pipelines combined with Data Engineering capabilities. Role Summary: Working across projects within the business and the wider industry through the organisation's parent company, you will have responsibility for … and scripting in Bash and Python. Strong experience with AWS infrastructure with proficiency in the services such as: S3, EC2, Lambda functions, Cloud Formation, Athena, Dynamo DB, Code Commit, SageMaker, etc. Strong experience with containerisation using Docker and containers management. Strong software engineering skillset including code review: a good understanding of coding best practices and experience with code and More ❯
bradford, yorkshire and the humber, united kingdom Hybrid / WFH Options
WRK DIGITAL LTD
engineers. This role will require the software and dev ops capabilities of an ML Ops engineer to build ML and CI-CD pipelines, proficiency in Infrastructure as Code and Sagemaker pipelines combined with Data Engineering capabilities. Role Summary: Working across projects within the business and the wider industry through the organisation's parent company, you will have responsibility for … and scripting in Bash and Python. Strong experience with AWS infrastructure with proficiency in the services such as: S3, EC2, Lambda functions, Cloud Formation, Athena, Dynamo DB, Code Commit, SageMaker, etc. Strong experience with containerisation using Docker and containers management. Strong software engineering skillset including code review: a good understanding of coding best practices and experience with code and More ❯
paced environments with shifting priorities Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage More ❯
paced environments with shifting priorities Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage More ❯
paced environments with shifting priorities Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage More ❯
paced environments with shifting priorities Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage More ❯
london (city of london), south east england, united kingdom
asobbi
paced environments with shifting priorities Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage More ❯
current to target state. Along with this, you'll need a good understanding of data lifecycle management and in-depth knowledge ofdata modelling and database design. Experience in AWS Sagemaker would be highly desirable. Furthermore, you'll need: Experience in producing clear data architecture diagrams at various levels of detail and for different audiences Experience of engaging with stakeholders More ❯
