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Job Location | Manchester |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time or part-time |
Your OpportunityJoin Deloitte and apply your skills to innovative projects reaching far beyond traditional machine learning and analytics boundaries. Youll work with colleagues and clients in Consulting, Corporate Finance, Tax and Audit - exposing you to cuttingedge data science work in a strategic, commercial and business context. Here youll apply an impressive range of broad consulting and technical skills that will enhance your career.Our practice is growing in both breadth and technical depth which is increasingly important in an ever changing market, technology and regulatory landscape. You can expect to be involved in a wide variety of assignments.Strategy, Analytics and M&AHow do you make intelligent, future-proof decisions in a world where change is the one constant Thats exactly what youll help our clients to do. Youll build trusted relationships with business stakeholders - and use the most exciting new technologies available- to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.Your roleThe role sits within Deloittes Data & Analytics Modernisations Machine Learning & Data Engineering team which is a group of data scientists and hybrid AI engineers to deliver cutting edge solutions that leverage the latest artificial intelligence and bigdata technologies for our clients. If youre intellectually curious, hardworking and solution-oriented, youll fit right into our fast-paced, collaborative environment.We are looking for hybrid AI engineers to support our machine learning, development and deployment capabilities. Youll combine leading open source tooling and automate the management of model deployment using IaaS / PaaS assets. We make heavy use of the Pythonmachine learning and deployment ecosystem in the cloud, and build systems to deliver future development environments, whether its a real-time or batch system. If you have deep experience in designing, implementing, automating and deploying machine learningpipelines and workflows, we want to hear from you!As one of the lead AI engineers in our team, you will: