At a Glance
- Tasks: Join us to develop and optimise MLOps solutions using Azure technologies.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive pay, flexible working options, and opportunities for skill development.
- Other info: Exciting projects with potential for career advancement in a supportive team.
- Why this job: Be at the forefront of machine learning and automation in a fast-paced environment.
- Qualifications: 5+ years in MLOps or DevOps with strong ML knowledge and programming skills.
The predicted salary is between 63000 - 77000 £ per year.
Azure MLOPs Engineer Location: Wokingham, UK Duration: Contract Job Description Your responsibilities:
- 5+ years of experience in MLOps, Dev Ops or a related field.
- Strong understanding of machine learning principles and model life cycle management.
- Passionate about making things work iteratively and automating and scaling them.
- Deep knowledge of software development and engineering in combination with ML models.
- Experience in development Azure Machine Learning or any MLOPs frameworks.
- Experience with SQL and no SQL environments, Azure SQL database and Storage Account - blob is must.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like Tensor Flow, Py Torch, or Scikit-learn.
- Experience with cloud platforms Azure machine learning services.
- Experience with monitoring tools and practices for model performance in production.
- Practical ability in creating build and release pipelines in Azure Dev Ops for ML artifacts.
- Experience in supporting Real Time-inference scenarios with Azure Machine Learning.
- Knowledge of tools, methods, and frameworks used by data scientists.
- Familiarity with data engineering practices and tools.
- Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
- Azure data scientist associate certificate is plus.
- 5+ years of experience in MLOps, Dev Ops or a related field.
- Strong understanding of machine learning principles and model life cycle management.
- Passionate about making things work iteratively and automating + scaling them
- Deep knowledge of software development and engineering in combination with ML models
- Experience in development Azure Machine Learning or any MLOPs frameworks
- Experience with SQL and no SQL environments, Azure SQL database and Storage Account - blob is must
- Proficiency in programming languages such as Python, with hands‑on experience in machine learning frameworks like Tensor Flow, Py Torch, or Scikit-learn.
- Experience with cloud platforms Azure machine learning services.
- Experience with monitoring tools and practices for model performance in production.
- practical ability in creating build and release pipelines in Azure Dev Ops for ML artifacts
- experience in supporting Real Time-inference scenarios with Azure Machine Learning
- Knowledge of tools, methods, and frameworks used by data scientists
- Familiarity with data engineering practices and tools.
- Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
- Azure data scientist associate certificate is plus.
- 5+ years of experience in MLOps, Dev Ops or a related field.
- Strong understanding of machine learning principles and model life cycle management.
- Passionate about making things work iteratively and automating + scaling them
- Deep knowledge of software development and engineering in combination with ML models
- Experience in development Azure Machine Learning or any MLOPs frameworks
- Experience with SQL and no SQL environments, Azure SQL database and Storage Account - blob is must
- Proficiency in programming languages such as Python, with hands‑on experience in machine learning frameworks like Tensor Flow, Py Torch, or Scikit-learn.
- Experience with cloud platforms Azure machine learning services.
- Experience with monitoring tools and practices for model performance in production.
- practical ability in creating build and release pipelines in Azure Dev Ops for ML artifacts
- experience in supporting Real Time-inference scenarios with Azure Machine Learning
- Knowledge of tools, methods, and frameworks used by data scientists
- Familiarity with data engineering practices and tools.
- Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
- Azure data scientist associate certificate is plus.
- #J-18808-Ljbffr
Azure MLOPs Engineer in Wokingham employer: Infoplus Technologies UK Ltd
As a Sybase DBA at our company, you will thrive in a dynamic work environment that prioritises innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and opportunities for growth within the organisation, all while being located in a vibrant area that fosters both professional and personal enrichment. Join us to be part of a team that values your contributions and supports your career aspirations.
Contact Details:
Infoplus Technologies UK Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure MLOPs Engineer in Wokingham
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Infoplus Technologies UK Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Infoplus Technologies UK Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Infoplus Technologies UK Ltd.
We think you need these skills to ace Azure MLOPs Engineer in Wokingham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Infoplus Technologies UK Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Infoplus Technologies UK Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Infoplus Technologies UK Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Infoplus Technologies UK Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Infoplus Technologies UK Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Infoplus Technologies UK Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Infoplus Technologies UK Ltd.
