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GCS is acting as an Employment Business in relation to this vacancy.

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Machine Learning Engineer - Recommendation Systems

Remote (USA)

About the Role

We are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.

The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.

Key ResponsibilitiesDevelop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.Build scalable data pipelines for feature engineering, model training, evaluation, and inference.Collaborate with data scientists and software engineers to transition research and prototypes into production systems.Improve recommendation and ranking models using large-scale behavioral and engagement data.Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.Write clean, maintainable, and efficient Python code following software engineering best practices.Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.1-3 years of relevant experience, including internships, research, academic projects, or professional experience.Strong programming skills in Python.Solid understanding of machine learning fundamentals, including:Supervised learningClassification and regressionFeature engineeringModel evaluation and validationExperience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.Strong analytical and problem-solving skills.Why Join Us?Work on machine learning products that impact large-scale user experiences.Collaborate with highly skilled engineers, data scientists, and researchers.Gain hands-on experience deploying production-grade machine learning solutions.Grow your expertise in modern ML technologies and scalable systems.Flexible remote work environment with opportunities for learning and career development.

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Broadcast Systems Engineer

We are seeking experienced Broadcast Systems Engineer to support on-site live broadcast operations. This role is responsible for ensuring broadcast quality, commercial execution, sponsorship fulfillment, and continuity of live programming in a fast-paced environment.

Key Responsibilities

Perform quality assurance checks on incoming and outgoing media content to ensure technical and editorial readiness.Monitor and maintain the integrity of live video and audio feeds throughout broadcasts.Execute commercial breaks and sponsorship elements accurately and on schedule.Manage playlists and logs in real time, including adjustments for schedule changes and live-event delays.Troubleshoot automation and operational issues during live broadcasts.Track sponsorship placements and ensure contractual obligations are met.Prepare detailed post-event and exception reports.Communicate effectively with operations, engineering, and production teams regarding on-air issues.Maintain a high level of accuracy, compliance, and professionalism in a live broadcast environment.

Required Qualifications

Experience in broadcast master control, transmission, or live media operations.Strong quality assurance and real-time troubleshooting skills.Ability to work effectively under pressure in a live production environment.Exceptional attention to detail and multitasking abilities.Availability to work nights, weekends, and holidays as required.High level of reliability, accountability, and professionalism.

Preferred Qualifications

Experience supporting live sports broadcasts.Familiarity with broadcast automation systems and playlist management.Experience creating operational, compliance, or client-facing reports.

Preferred Technical Experience

Experience with one or more of the following:

FloricalImagine Communications (Harris/ADC)Evertz (PowerView, MAGNUM)HarmonicPebbleGrass ValleyRoss Video

Ideal Candidate

The ideal candidate is a dependable broadcast professional who thrives in a live operations environment, can adapt quickly to changing circumstances, and consistently delivers accurate, high-quality results.

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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Systems Engineer (Cloud Infrastructure)

About the Role

We're looking for an experienced Systems Engineer to join a collaborative global engineering team focused on building, maintaining and evolving modern cloud infrastructure. This is an exciting opportunity to work on large-scale platforms that support business-critical services while contributing to the ongoing improvement of cloud technologies and engineering practices.

The role offers a balance of hands-on engineering and operational support, with a strong emphasis on automation, continuous improvement and delivering reliable cloud solutions.

What You'll Be Doing

Design, build and support cloud infrastructure across public cloud environments.Help improve the reliability, scalability and performance of production platforms.Develop automation and tooling to simplify operational processes.Troubleshoot and resolve infrastructure issues in collaboration with engineering teams.Contribute to infrastructure design and implementation projects.

What We're Looking For

We're interested in speaking with engineers who enjoy solving infrastructure challenges and have experience working with modern cloud technologies. If you have experience in several of the areas below, we'd love to hear from you.

Experience

Experience working within Cloud, Infrastructure or Systems Engineering roles.Hands-on experience with one or more public cloud platforms, such as AWS, Microsoft Azure or Google Cloud Platform (GCP).Experience deploying, supporting or improving cloud infrastructure in production environments.An understanding of automation and infrastructure management.Experience with scripting, ideally using Python or similar languages.Strong troubleshooting and problem-solving skills.

Desirable Skills

While not essential, experience in any of the following would be an advantage:

Kubernetes or container technologies.Infrastructure as Code tools such as Terraform.Go (Golang) or Rust.Cloud certifications.Exposure to AI or developer productivity tools.

About You

You'll enjoy working as part of a collaborative engineering team and be comfortable sharing examples of projects you've contributed to and the impact your work has had. Whether you've supported customer-facing platforms, internal infrastructure or large engineering environments, we're interested in understanding your experience and approach to solving technical challenges.

Working Arrangements

Hybrid working model.Dublin-based office.Typically two days per week onsite, with flexibility around which days are worked in the office.

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We are partnering with a leading global technology company that's looking for an experienced Systems Engineer to join their Platform Engineering team. This is an opportunity to work on large-scale, mission-critical Kubernetes infrastructure powering cloud-native applications used around the world.

If you're passionate about automation, cloud infrastructure, and building highly scalable platforms, this role offers the chance to work with cutting-edge technologies in a collaborative engineering environment.

What You'll Be Doing

Manage, patch, upgrade, and optimise Kubernetes infrastructure across on-premises and public cloud environments.

Build and improve Infrastructure as Code (IaC) solutions using Terraform, Helm, and GitOps practices.

Develop automation and tooling using Python and/or Go.

Design and maintain CI/CD pipelines for infrastructure deployments.

Deploy and support networking and storage solutions for Kubernetes workloads.

Improve monitoring, observability, and alerting with Prometheus, Grafana, and cloud-native tooling.

Troubleshoot production issues and help drive improvements in reliability and operational excellence.

Leverage AI-powered tooling and automation to enhance platform operations and reduce incident resolution times.

Collaborate with engineering teams to deliver secure, scalable, and resilient cloud infrastructure.

What We're Looking For

3+ years of hands-on experience managing Kubernetes in production environments.

5+ years of strong Linux systems administration experience.

Experience with cloud-native technologies including Terraform, Helm, Argo CD or Flux.

Solid networking knowledge covering DNS, TLS, load balancing, ingress/egress, and firewalls.

Strong scripting or software development experience in Python or Go.

Experience with GitOps workflows and CI/CD pipelines.

Knowledge of observability tools such as Prometheus and Grafana.

Kubernetes certifications (CKA) or cloud certifications (AWS, Azure, GCP) are highly desirable.

Why Apply?

Join a world-class engineering team working on cloud infrastructure at scale.

Work with modern DevOps, Kubernetes, automation, and AI technologies.

Hybrid working model based in Dublin, Ireland.

Excellent opportunity to influence platform engineering practices and work on highly available production systems.

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Job Summary:

We are seeking a highly skilled Technical Systems Engineer III to support a 5G RAN network operations team. This role focuses on monitoring, troubleshooting, maintaining, and restoring 5G network services while supporting new network deployments and transport initiatives. The ideal candidate will have experience in wireless network operations, outage management, and network troubleshooting within a fast-paced telecom environment.

Key Responsibilities:

* Provide operational support to identify network incidents, troubleshoot issues, and implement resolutions across 5G Core, RAN, and Transport networks.
* Analyze service-impacting issues, determine corrective actions, restore services, and escalate complex problems when required.
* Document troubleshooting activities and maintain accurate ticketing records.
* Support network reliability initiatives through process improvements and automation opportunities.
* Collaborate with network engineers, technicians, field operations teams, and vendors during outage situations.
* Engage internal and external support teams to resolve critical network impairments.
* Collect and analyze network traces using vendor-specific tools.
* Create and maintain technical documentation, troubleshooting guides, and operational procedures.
* Assist in planning and supporting new technology deployments and network enhancements.
* Support automation, orchestration, and continuous improvement initiatives within network operations.
* Perform scheduled maintenance activities and document all changes accurately.
* Conduct root cause analysis and provide recommendations to improve network performance and reliability.

Required Qualifications:

* Ability to work on-site in the Atlanta market.
* OSHA 10 Certification and RF Awareness preferred.
* Experience with wireless network deployment, integration, or operations in a 5G environment.
* Minimum 2 years of experience with transport network troubleshooting, including fronthaul and backhaul technologies.
* Experience with alarm monitoring, fault isolation, incident management, and escalation procedures.
* Strong troubleshooting and problem-solving abilities in high-pressure environments.
* Excellent verbal and written communication skills.
* Knowledge of computer systems, network monitoring applications, OSI model, and electronic test equipment.
* Strong understanding of cell site topology, transport systems, RF KPIs, and 5G RAN architecture.
* Ability to interpret network diagrams, deployment documentation, and operational procedures.
* Experience performing root cause analysis (RCA) and preparing technical reports.
* Ability to learn new tools and technologies quickly while managing multiple priorities.

Preferred Skills:

* 5G RAN Operations and Troubleshooting
* Fronthaul and Backhaul Transport Networks
* Network Monitoring and Alarm Management
* Incident Response and Outage Restoration
* RF Performance Analysis and KPIs
* OSS/NOC Operations
* RCA Documentation and Reporting
* Samsung 5G Deployment and Integration experience

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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Senior Python Engineer (AI Platforms & Distributed Systems)

Location: Chicago
Work Arrangement: Hybrid
Employment Type: Contract

Overview

We are seeking a highly specialized Senior Python Engineer to design and build scalable backend platforms, automation frameworks, and distributed systems within a cloud-native environment. This role requires deep expertise in Python development, microservices architecture, API engineering, and high-performance data processing.

The ideal candidate will have strong experience developing enterprise-grade applications, building scalable services, and working across modern DevOps and cloud ecosystems.

Key ResponsibilitiesDesign and develop scalable backend applications and distributed systems using PythonBuild high-performance RESTful and asynchronous APIsDevelop microservices and event-driven architecturesOptimize application performance, concurrency, and scalabilityCollaborate with platform engineering, DevOps, and cloud teamsBuild automation frameworks and orchestration toolingImplement monitoring, logging, and observability standardsContribute to CI/CD pipeline automation and infrastructure improvementsParticipate in architecture reviews and technical strategy discussionsTroubleshoot complex production issues and perform root cause analysisRequired Technical Skills7+ years of software engineering experience5+ years of advanced Python development experienceStrong expertise in:FastAPIFlask or DjangoAsyncIOMicroservices architectureREST and GraphQL APIsExperience building scalable distributed systemsStrong understanding of multithreading, concurrency, and asynchronous programmingHands-on experience with:DockerKubernetesKafka or RabbitMQRedisExperience with cloud-native environments:AWSAzureGCPStrong database experience:PostgreSQLMongoDBCassandraExperience implementing CI/CD pipelines using Jenkins, GitHub Actions, or GitLabFamiliarity withobservability tools:PrometheusGrafanaELKOpenTelemetryStrong Linux systems and scripting knowledgePreferred QualificationsExperience supporting AI/ML or data-intensive platformsKnowledge of infrastructure-as-code tools such as TerraformExposure to serverless architectures and event-driven workflowsExperience supporting enterprise-scale applications with high availability requirementsBackground in telecom, media, or large-scale enterprise environmentsNice to HaveExperience with Celery or distributed task processing frameworksExposure to MLOps tooling and model deployment pipelinesFamiliarity with security best practices and API authentication standards

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