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| Job Location | South West England |
| Education | Not Mentioned |
| Salary | £500.00 - £575.00 per day |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Contract, full-time |
- DevOps Engineer – ML and Cloud- Up to £550 per day - Remote working- 4 month contract Working for a global Software Design company this is an amazing opportunity to join them as an experienced DevOps Engineer and help them drive forward in terms of using Machine Learning techniques and getting into the Cloud. They are harnessing the power ofData Science and Machine Learningtechniquesto automatethe design and verification of CPU/ GPU/ Accelerator hardware, toreducetime-to-market and enable more complex designs.As part of our small, diverse,andmulti-functional team of Hardware Engineering, Software tools / services, and Data Science experts, as a DevOps Engineer you will be helping to develop new and novel techniques that will accelerate and empower our Engineering teams to do their best work. Helping to generate the whole architecture. You will:- Develop MLOps pipeline for Engineering functions- Deploy ML/DS pipelines into production on live projects;- Build and maintain parts of anMLOpssystem that enables CI/ CD of ML pipelines and models;- Build and maintain custominterfaces to EDA tools, testbenches and data stores.You will:- Work across all aspects of the software lifecycle whilst being supported by,and learning from,the rest of the team;- Contribute effective, performant,and scalable codeinto production;- Analysingand improving the performance, architecture,and resilience ofMLapplicationsandtheir deploymentinfrastructure;- Gathering requirementsfor new featuresand updating stakeholderson progress.Essential Skills & Qualities- Ideally a relevant degree in Electronic Engineering, Computer Engineering, Computer Science or similar- Expert in using LINUX/UNIX environment (shell programming / scripting)- Expert in integration technology and automation and high proficiency in python- Expert in creating/maintaining dev Ops pipelines- Demonstrableknowledgeof Python(including OOP, async / multithreading,profiling);- Demonstrable experienceof shell programming / scriptingina UNIX environment;- Experience of software delivery practices including GitandCI/CD tools(e.g.Jenkins);- An understanding of DevOps /MLOpstopics;- You have a creative and structured approach to problem-solving, including debugging;- You are eager to contribute to a collaborative and open team culture;- You have excellent communication skillsand are able to present results in a concise manner to technical & non-technical audiences.DesirableSkillsandQualities:- Experienceusing DevOps /MLOps tools – e.g. ML Flow