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.Preferred Qualifications
Experience developing Neural Network models using frameworks such as PyTorch or TensorFlow.Experience with workflow orchestration and pipeline management tools.Exposure to predictive AI solutions and advanced forecasting models.Knowledge of distributed machine learning and scalable AI infrastructure.Experience supporting enterprise-scale machine learning deployments.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.
Read less📍 C++ Embedded Software Engineer - Reston, VA🚀 On-site | 12-Month Contract (Extension/Conversion Potential)We're looking for a C++... Read more
🚀 On-site | 12-Month Contract (Extension/Conversion Potential)
We're looking for a C++ Embedded Software Engineer to join a high-impact engineering team working on advanced robotics and automation systems. This role focuses on modernising an existing platform into a clean, scalable C++17+ architecture, giving you the opportunity to work on both system design and implementation.
You'll be working at the application layer (not low-level firmware), developing software that processes data from robotic systems and enables key functionality such as diagnostics, logging, and replay tools-critical for debugging and improving system performance in a real-time environment.
💻 Key Responsibilities:
Develop and optimise modern C++ (C++17+) applicationsBuild and enhance multi-threaded, high-performance systemsContribute to system-wide migration and architecture improvementsDesign and implement debugging, logging, and observability tools✅ What we're looking for:
Strong modern C++ and concurrency/multithreading experienceBackground in embedded or real-time systems on LinuxSolid understanding of system design and performance optimisation
GCS is acting as an Employment Business in relation to this vacancy.
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