Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
17/04/2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
17/04/2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Michael Bailey Associates - Amsterdam
Amstelveen, Noord-Holland
Are you a seasoned Data & AI Platform Architect with a keen interest in Data Governance, Analytics, Machine Learning & Artificial Intelligence? Do you excel in creating enterprise platforms to drive a data-driven approach? Are you passionate about leveraging the latest Data and AI technologies such as Azure Databricks, Microsoft Fabric, Azure Machine Learning & AI Services? Do you have experience with implementing Lakehouse architecture, Machine Learning, and AI platforms? Are you excited about the possibilities that Large Language Models offer and adept at architecting patterns such as RAG and AI-enabled applications? Can you effectively communicate these concepts to diverse stakeholders and influence decision-making within familiar groups? If so, we want to hear your story. Join us and together, we'll enhance your skills and expertise. Your Job As a Data & AI Platform Architect, you will: Collaborate on crafting Solution Architectures, Positioning Papers, and Target State Designs for Global Solutions. You'll drive the direction for global hybrid solutions, considering platforms like Public (Azure) and Private (VMware) Cloud and SaaS, in coordination with other professionals. Take the lead in developing architecture runways, co-creating them with Infrastructure Platform and Product Owners throughout our organization. Be the go-to expert for architecture and design considerations, providing guidance and insight to colleagues. Review Solution Architectures to ensure compliance with our target state strategy. Work closely with Business and IT teams to develop or enhance services, participating in discussions, PoC execution, equipment evaluation, cost analysis, and other relevant activities. Thrive in an informal atmosphere where learning from mistakes is encouraged. Required Skills Certification in Togaf, ArchiMate, and preferably Azure Solution Architect Certification. Expertise in data platform design & architecture on public cloud platforms, with a preference for Microsoft Azure. Proficiency in Data Engineering best practices, including data pipelines, data modelling, database design, access management, and security. Knowledge of the latest trends in Artificial Intelligence, Machine Learning, and data analytics. Proficient in documentation using MS Office, PowerPoint. Project Details: Location: Amstelveen Type: Contract-to-perm Work: Hybrid Duration: 12 months into permanent contract Michael Bailey International is acting as an Employment Business in relation to this vacancy.
15/04/2024
Are you a seasoned Data & AI Platform Architect with a keen interest in Data Governance, Analytics, Machine Learning & Artificial Intelligence? Do you excel in creating enterprise platforms to drive a data-driven approach? Are you passionate about leveraging the latest Data and AI technologies such as Azure Databricks, Microsoft Fabric, Azure Machine Learning & AI Services? Do you have experience with implementing Lakehouse architecture, Machine Learning, and AI platforms? Are you excited about the possibilities that Large Language Models offer and adept at architecting patterns such as RAG and AI-enabled applications? Can you effectively communicate these concepts to diverse stakeholders and influence decision-making within familiar groups? If so, we want to hear your story. Join us and together, we'll enhance your skills and expertise. Your Job As a Data & AI Platform Architect, you will: Collaborate on crafting Solution Architectures, Positioning Papers, and Target State Designs for Global Solutions. You'll drive the direction for global hybrid solutions, considering platforms like Public (Azure) and Private (VMware) Cloud and SaaS, in coordination with other professionals. Take the lead in developing architecture runways, co-creating them with Infrastructure Platform and Product Owners throughout our organization. Be the go-to expert for architecture and design considerations, providing guidance and insight to colleagues. Review Solution Architectures to ensure compliance with our target state strategy. Work closely with Business and IT teams to develop or enhance services, participating in discussions, PoC execution, equipment evaluation, cost analysis, and other relevant activities. Thrive in an informal atmosphere where learning from mistakes is encouraged. Required Skills Certification in Togaf, ArchiMate, and preferably Azure Solution Architect Certification. Expertise in data platform design & architecture on public cloud platforms, with a preference for Microsoft Azure. Proficiency in Data Engineering best practices, including data pipelines, data modelling, database design, access management, and security. Knowledge of the latest trends in Artificial Intelligence, Machine Learning, and data analytics. Proficient in documentation using MS Office, PowerPoint. Project Details: Location: Amstelveen Type: Contract-to-perm Work: Hybrid Duration: 12 months into permanent contract Michael Bailey International is acting as an Employment Business in relation to this vacancy.