Job titleJava Developer with Neo4jJob TypeContract (6 Months)Client / IndustryBank Required: Languages: Java 11+, HTML5, JavaScriptFront-End Frameworks: AngularAPIs:... Read more
Job title
Java Developer with Neo4j
Job Type
Contract (6 Months)
Client / Industry
Bank
Required: Languages: Java 11+, HTML5, JavaScript
Front-End Frameworks: Angular
APIs: RESTful API Design
Databases: Neo4j, PostgreSQL
Testing: Junit, Mockito, Cucumber
Building: Maven
Tooling: GitHub, JIRA, Confluence, GitHub Copilot
The Developer Experience (DevX) Standards and Controls function is building a platform for control owners and development teams to manage/view their compliance with a range of software development controls.
The candidate would be working on re-platforming an application from a vendor platform (PCF) over to an internal bring your own code (BYOC) platform as well as modernising the application and resolving dependency issues.
YOUR RESPONSIBILITIES
Collaborate with developers, testers and the wider organisation to build and run products
Design, develop & implement back-end features as per backlog/priority with a small element of front-end development.
Collaborate with the rest of the engineering team to design and launch new features.
Proactively work with customers to resolve their issues and respond to feature requests.
Build APIs and microservices
Work in an agile CI/CD environment to deliver rapid iterations at a sustained velocity
Be an active member of a team, participating in peer reviews and in testing others code through automated test scripting
SKILLS & EXPERIENCE WE REQUIRE
Strong Java development experience (modern Java 11+).
Experience designing and building microservices architectural style applications.
Experience with Graph databases (experience with Neo4j is desirable).
Experience modernising legacy Java applications.
Experience with the design and build of REST APIs
Experience building HTML/JavaScript front-ends (experience with Angular is desirable).
Strong technical and analytical troubleshooting skills.
Experience in BDD and/or TDD approaches and frameworks (unit/integration test automation)
Experience resolving issues with dependencies (e.g. conflicts), performing upgrades and remediating dependencies with vulnerabilities.
Experience in working with Agile including the use of Jira/Confluence.
Be a proactive person who will not wait to be told what to do next or be unblocked by others
Good interpersonal skills.
Strong English skills, written and spoken.
GCS is acting as an Employment Business in relation to this vacancy.
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Position OverviewWe are seeking a Software Engineer to join our engineering team and help design, develop, test, and... Read more
We are seeking a Software Engineer to join our engineering team and help design, develop, test, and maintain high-quality software applications and systems.
This is a hands-on engineering role where you will work within an established technical environment to build new features, improve existing functionality, troubleshoot issues, and contribute to the full software development lifecycle.
You will collaborate with other software engineers, QA engineers, DevOps, security teams, and technical stakeholders to deliver reliable, scalable, and maintainable software solutions.
ResponsibilitiesDesign, develop, test, and maintain software applications and services.
Implement new features and enhancements based on business and technical requirements.
Write clean, maintainable, scalable, and well-tested code.
Participate in the full software development lifecycle, including design, development, testing, code reviews, deployment, and maintenance.
Troubleshoot and resolve software, system, and application issues.
Work with APIs, databases, operating systems, and other software components as required.
Develop automated tests and contribute to software quality and reliability.
Collaborate with QA, DevOps, security, and other engineering teams to deliver production-ready solutions.
Participate in code reviews and contribute to engineering standards and best practices.
Create and maintain technical documentation.
Support software deployments, monitoring, and ongoing production operations.
Continuously identify opportunities to improve application performance, reliability, security, and maintainability.
What You Will LearnModern software development practices and engineering methodologies.
How to design, build, test, deploy, and maintain production software.
Working with software architectures, APIs, databases, and distributed systems.
Version control, code reviews, testing, automation, and CI/CD practices.
Cloud, DevOps, and containerization technologies.
Software security and secure development practices.
Debugging, performance optimization, and production troubleshooting.
How to build scalable, reliable, and maintainable software.
Collaboration within cross-functional engineering teams.
Best practices for delivering high-quality software in a professional engineering environment.
GCS is acting as an Employment Business in relation to this vacancy.
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Position OverviewWe are seeking a Software Engineer to join our engineering team and help design, develop, test, and... Read more
We are seeking a Software Engineer to join our engineering team and help design, develop, test, and maintain high-quality software applications and systems.
This is a hands-on engineering role where you will work within an established technical environment to build new features, improve existing functionality, troubleshoot issues, and contribute to the full software development lifecycle.
You will collaborate with other software engineers, QA engineers, DevOps, security teams, and technical stakeholders to deliver reliable, scalable, and maintainable software solutions.
ResponsibilitiesDesign, develop, test, and maintain software applications and services.
Implement new features and enhancements based on business and technical requirements.
Write clean, maintainable, scalable, and well-tested code.
Participate in the full software development lifecycle, including design, development, testing, code reviews, deployment, and maintenance.
Troubleshoot and resolve software, system, and application issues.
Work with APIs, databases, operating systems, and other software components as required.
Develop automated tests and contribute to software quality and reliability.
Collaborate with QA, DevOps, security, and other engineering teams to deliver production-ready solutions.
Participate in code reviews and contribute to engineering standards and best practices.
Create and maintain technical documentation.
Support software deployments, monitoring, and ongoing production operations.
Continuously identify opportunities to improve application performance, reliability, security, and maintainability.
What You Will LearnModern software development practices and engineering methodologies.
How to design, build, test, deploy, and maintain production software.
Working with software architectures, APIs, databases, and distributed systems.
Version control, code reviews, testing, automation, and CI/CD practices.
Cloud, DevOps, and containerization technologies.
Software security and secure development practices.
Debugging, performance optimization, and production troubleshooting.
How to build scalable, reliable, and maintainable software.
Collaboration within cross-functional engineering teams.
Best practices for delivering high-quality software in a professional engineering environment.
GCS is acting as an Employment Business in relation to this vacancy.
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Position SummaryWe are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible... Read more
Position Summary
We are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment.
The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.
Key Responsibilities
Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.Work with large structured and unstructured datasets to derive actionable insights and improve model performance.Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.Support the integration of machine learning models into enterprise applications and workflows.Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.Explore and implement Large Language Model (LLM) solutions where applicable.Participate in model evaluation, performance tuning, and continuous improvement initiatives.Required Qualifications
5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.Strong programming expertise in Python.Hands-on experience with PySpark and large-scale data processing.Experience developing machine learning models using Scikit-learn.Strong background in data analysis, feature engineering, and statistical modeling.Experience building and maintaining MLOps pipelines and model deployment workflows.Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.Experience working within AWS cloud environments.Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.Strong problem-solving and communication skills.
Technical Environment
PythonPySparkScikit-learnAWSMLOpsLarge Language Models (LLMs)Machine Learning PipelinesPredictive AnalyticsNeural Networks (Preferred)PyTorch / TensorFlow (Preferred)GCS is acting as an Employment Business in relation to this vacancy.
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Position SummaryWe are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible... Read more
Position Summary
We are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment.
The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.
Key Responsibilities
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5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.Strong programming expertise in Python.Hands-on experience with PySpark and large-scale data processing.Experience developing machine learning models using Scikit-learn.Strong background in data analysis, feature engineering, and statistical modeling.Experience building and maintaining MLOps pipelines and model deployment workflows.Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.Experience working within AWS cloud environments.Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.Strong problem-solving and communication skills.
Technical Environment
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We are seeking an experienced Test Analyst to support software, web, and mobile application testing initiatives. This role... Read more
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