Sparta Global is an award-winning technology and education services organisation, partnering with public and private sector organisations to build Technology, Data and AI capability through our award winning Technology and AI Institute
The Sparta Institute trains individuals with the attitude, aptitude, and potential to be a successful Spartan consultant and deploys them to work on client sites, with the opportunity to convert to permanent employees after an agreed period.
You'll Work As Part Of An Empowered, Multi-disciplinary AI Team Who's Purpose Is To Develop Common AI Propositions That Will Benefit a Range Of Our Customers. Working Alongside a Data Scientist, AI Strategy Lead And Delivery Management You Will Focus On Engineering Activities Within Our AI Strategy Which Is Focussed On
* Our Customers: Elaborate user needs and measure AI value
* Our Position: Establish our market position and define our USP
* Our Skills: Develop our career paths and learning plans for AI
* Our Partners: Understand technology partner capabilities and build our AI partner ecosystem
* Our Innovation: Learn through AI experiments and demonstrate pull-through to product development
About You You will have experience in many of the following:
* Prototyping applications using machine learning (ML) models to test feasibility and impact.
* Engineering and implementing ML-based solutions, with proven ability to own the end-to-end process and lifecycle of ML systems.
* Deploying models and handling technical aspects of making models operational to meet user needs.
* Integrating models within applications, and incorporating them into wider systems.
* Monitoring model performance through regular evaluation of deployed models, identifying performance gaps and opportunities for optimisation.
* Researching techniques by continuously exploring the latest ML and AI advancements to identify methods that can enhance current systems.
* Adhering to policy and ethical AI standards, ensuring machine learning practices comply with compliance processes and guidelines.
* Providing technical guidance in the implementation and integration of machine learning to other cross-functional teams.
* Programming in one or more of Python, Java, .Net, JavaScript, C++.
* Using MLOps tools and frameworks.
* Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce.
* Utilising containerisation technologies e.g. Docker, Kubernetes.
It would be great if you also had experience in some of these, but if not we’ll help you with them
* Optimising models from data scientists by working closely with them to refine, optimise, and implement models based on prototypes.
* Defining and improving MLOps processes by creating and refining the model development and deployment strategy for better efficiency and results.
* Ensuring the quality and accessibility of data used for machine learning projects is appropriate, collaborating with data engineers as necessary.
* Performing data analysis to enable machine learning engineering tasks, such as ethics/bias assessments or exploratory data analysis to inform model development/deployment pattern choice.
* Maintaining comprehensive documentation of model development, including methodologies, performance evaluations, and deployment details.
* Developing and running solutions Cloud-based environments & Cloud ML Services e.g. AWS, MS Azure.
* Integrating with relational, document, search and graph database systems.
* Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes.
Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.