Search the 8 jobs at Methods

As a Data Engineer at Methods Analytics, you'll develop and implement data solutions using platforms like Azure and PowerBI while ensuring data quality and integrity. You'll collaborate with cross-functional teams, design ETL/ELT pipelines, and create data models to support strategic decisions.

The IT Support Analyst will provide first-line support to staff through various request systems and manage requests via Salesforce ticketing. Responsibilities include supporting hardware and software issues, maintaining documentation, assisting new staff inductions, and handling asset management and supplier relations.

As an MLOps Engineer, you will collaborate with cross-functional teams to align ML solutions with business objectives, automate workflows, set up deployment tools, develop CI/CD pipelines, monitor and maintain models, manage security risks, troubleshoot issues, and ensure compliance with best practices.

The role involves developing and managing the infrastructure supporting various platforms and applications, automating processes for secure delivery, and ensuring cybersecurity. Responsibilities include implementing Infrastructure as Code, collaborating with stakeholders, and managing security for both cloud-based and on-premises systems. The candidate will facilitate communication across technical and non-technical groups, working to maintain safe and efficient project delivery.

The Senior Data Engineer will be responsible for transforming data into insights for various projects, developing scalable data services, providing effective communication across teams, creating data visualizations, mentoring junior staff, and ensuring the deployment of data solutions is well-understood and documented.

As a Senior Back-End Developer, you will design, develop, and maintain backend systems using Python and SQL, collaborating with cross-functional teams to build APIs, manage databases, and enhance service security and performance.

This job invites speculative applications from individuals with diverse skill sets across various tech disciplines. Applicants should be experienced in areas such as cloud technologies, software development, user experience design, and data science. If there's a match, successful candidates will be contacted for potential opportunities.

As a Data & AI Consultant, you will act as a strategic advisor, working with clients to identify and implement Data & AI solutions that drive business value. Responsibilities include leading client engagements, collaborating on use cases, advising on data governance, and educating executives on relevant technologies.