Microsoft Azure ML Engineer

• Apply machine learning deep learning natural language processing computer vision and other AI techniques to various domains and use cases to analyse large datasets and extract meaningful patterns and insights. Develop predictive models and algorithms to support business objectives.
• Explore and preprocess raw data to uncover trends anomalies and patterns.
• Create clear and compelling visualizations to communicate findings to both technical and nontechnical stakeholders.
• Evaluate and optimize the performance accuracy and scalability of AI models and systems.
• Research and implement stateoftheart AI methods and best practices.
• Collaborate with crossfunctional teams of engineers product managers designers and stakeholders to understand business requirements and formulate datadriven solutions.
• Collaborate with domain experts to integrate domain knowledge into analytical models.
• Prototype test and productionise machine learning models. Monitor and optimize model performance over time.
• Model data for storage and querying in database and largescale analytics platforms.
• Work with a wide variety of data types from structured to unstructured multimedia (video and still images) timeseries and IoT data.
• Clearly visualise and communicate processes and results to clients colleagues and other stakeholders.
• Support more junior colleagues and help develop the capabilities of the team.
• Work with colleagues across the firm to apply data science principles to specialist areas of the clients business.

Qualifications :

• Handson experience with using configuring and migrating ML models to Azure ML specifically a Kubeflow/Tensorflow stack (on prem) to a full managed Azure ML solution.
• A passion for developing and communicating deep and valuable insights.
• A highly rigorous mindset and approach to your work.
• Indepth knowledge of statistics and research methodology/experimental design.
• Extensive demonstrable experience building and testing/validating machine learning models and using data mining techniques.
• Extensive experience of data modelling and database design.
• Demonstrable programming experience in Python and associated data science/ML libraries in Azure ML Tech Stack.
• The ability to form clear narratives that communicate complex ideas to diverse audiences.
• Experience of team leadership / supervising others.
• Experience of proposal writing project costing project management etc.
• Ability to quickly make sense of new topics in unfamiliar fields.
• Specialist experience in a particular domain/application of data science e.g. natural language processing remote sensing IoT.
• Experience of team leadership / supervising others.
• Ability to quickly make sense of new topics in unfamiliar fields.
• A Bachelor or Master degree in a computational field (Computer Science Applied Mathematics Engineering or in a related quantitative discipline).
• Azure Certified Machine Learning Certification would be desirable.

Additional Information :

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability.

One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life. We also offer a range of techrelated benefits including an innovative Tech Scheme to help keep our team members uptodate with the latest technology.

We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat.

Our employeedesigned Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth.

Laura Cowan

#LILC1

Remote Work :

No

Employment Type :

Fulltime