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We are seeking curious, hands-on Electrical or Electronics Engineering graduates who enjoy solving real-world technical problems and making physical systems work. This is an excellent opportunity for early-career engineers and technologists who have a strong foundation in electrical systems, some exposure to programming, and a passion for troubleshooting, automation, controls, and hardware integration.
Key Responsibilities
* Translate electrical drawings and I/O lists into application configurations
* Test configurations in simulation and on real hardware - EtherCAT devices, motorised rollers, sensors, safety I/O
* Support commissioning on site as buildings go live
* Document findings, test results, and technical recommendations.
* Support continuous improvement initiatives and engineering projects.

Required Qualifications
* Graduate Degree or Diploma in one of the following:
o Electrical Engineering
o Electrical Engineering Technology
o Mechatronics Engineering
o Electromechanical Engineering
o Equivalent technician or technology program
* Graduation year between 2022 and 2026

* Experience in one or some of the following technologies:
o Python
o MATLAB
o Arduino programming
o Raspberry Pi projects
o Ladder Logic / PLC programming
o C/C++ or other programming languages

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

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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.

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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.

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Exciting Opportunity!

Role: Engineering Intern

About the Role

We are seeking curious, hands-on Electrical or Electronics Engineering graduates who enjoy solving real-world technical problems and making physical systems work. This is an excellent opportunity for early-career engineers and technologists who have a strong foundation in electrical systems, some exposure to programming, and a passion for troubleshooting, automation, controls, and hardware integration.

Key Responsibilities

Translate electrical drawings and I/O lists into application configurationsTest configurations in simulation and on real hardware - EtherCAT devices, motorised rollers, sensors, safety I/OSupport commissioning on site as buildings go liveDocument findings, test results, and technical recommendations.Support continuous improvement initiatives and engineering projects.

Required Qualifications

Graduate Degree or Diploma in one of the following: Electrical EngineeringElectrical Engineering TechnologyMechatronics EngineeringElectromechanical EngineeringEquivalent technician or technology programGraduation year between 2022 and 2026

Experience in one or some of the following technologies:PythonMATLABArduino programmingRaspberry Pi projectsLadder Logic / PLC programmingC/C++ or other programming languages

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

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Key responsibilities include:

Managing onboard Wi-Fi and network infrastructure.Handling network authentication, where passengers gain internet access by validating details such as their airline ticket or flight information.Managing internet access, bandwidth allocation, and connectivity for all passengers onboard.Supporting services such as web browsing, messaging, OTA (Over-the-Air) updates, and premium content streaming.Working on the middleware layer, which sits between applications and the underlying network infrastructure.Managing network-related applications, authentication services, and data traffic across the aircraft network.Working with technologies such as VLAN, WLAN, IP-based networking, and network protocols.Developing and supporting solutions on Embedded Linux platforms.Ensuring reliable connectivity between onboard systems and external internet services.

The ideal candidate should have experience with:

Embedded LinuxMiddleware developmentNetworking fundamentalsIP protocols (TCP/IP, UDP, DHCP, DNS, etc.)WLAN/Wi-Fi technologiesNetwork authentication and connectivity managementData communication and bandwidth management

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

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Key responsibilities include:

Managing onboard Wi-Fi and network infrastructure.Handling network authentication, where passengers gain internet access by validating details such as their airline ticket or flight information.Managing internet access, bandwidth allocation, and connectivity for all passengers onboard.Supporting services such as web browsing, messaging, OTA (Over-the-Air) updates, and premium content streaming.Working on the middleware layer, which sits between applications and the underlying network infrastructure.Managing network-related applications, authentication services, and data traffic across the aircraft network.Working with technologies such as VLAN, WLAN, IP-based networking, and network protocols.Developing and supporting solutions on Embedded Linux platforms.Ensuring reliable connectivity between onboard systems and external internet services.

The ideal candidate should have experience with:

Embedded LinuxMiddleware developmentNetworking fundamentalsIP protocols (TCP/IP, UDP, DHCP, DNS, etc.)WLAN/Wi-Fi technologiesNetwork authentication and connectivity managementData communication and bandwidth management

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

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Key responsibilities include:

Managing onboard Wi-Fi and network infrastructure.Handling network authentication, where passengers gain internet access by validating details such as their airline ticket or flight information.Managing internet access, bandwidth allocation, and connectivity for all passengers onboard.Supporting services such as web browsing, messaging, OTA (Over-the-Air) updates, and premium content streaming.Working on the middleware layer, which sits between applications and the underlying network infrastructure.Managing network-related applications, authentication services, and data traffic across the aircraft network.Working with technologies such as VLAN, WLAN, IP-based networking, and network protocols.Developing and supporting solutions on Embedded Linux platforms.Ensuring reliable connectivity between onboard systems and external internet services.

The ideal candidate should have experience with:

Embedded LinuxMiddleware developmentNetworking fundamentalsIP protocols (TCP/IP, UDP, DHCP, DNS, etc.)WLAN/Wi-Fi technologiesNetwork authentication and connectivity managementData communication and bandwidth management

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

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⚙️ Data Center Controls Technician / Controls Engineer

A hands-on Controls Technician / Controls Engineer opportunity supporting mission-critical data center environments, with a focus on building automation, controls commissioning, HVAC systems, electrical monitoring, and field troubleshooting.

Strong backgrounds can come from BMS/BAS, HVAC controls, building automation, instrumentation & controls, commissioning, or industrial/critical-facility controls.

The work can include:

BMS / BAS controls and commissioningController setup, configuration, and troubleshootingPoint-to-point checkout, I/O validation, and sensor verificationHVAC/mechanical systems including chillers, pumps, AHUs/CRAHs, cooling towers, VAVs, valves, dampers, and VFDsElectrical monitoring and controls around UPS, generators, switchgear, PDUs, ATS/STS, and EPMSTroubleshooting sensors, controllers, alarms, communication faults, sequences, and interlocksBACnet / Modbus environmentsSchematics, control drawings, submittals, redlines, startup, and equipment checkoutCoordination with engineers, contractors, vendors, and field teams

Relevant backgrounds may include BMS/BAS Technician, HVAC Controls Technician, Building Automation Technician, Controls Technician, Commissioning Technician, I&C Technician, E&I Technician, Systems Controls Technician, Controls Engineer, or Automation Technician.

Experience with platforms such as Siemens, Schneider Electric, Johnson Controls, Honeywell, Tridium/Niagara, Automated Logic, Trane, EcoStruxure, Desigo, Metasys, or similar systems is highly relevant.

Prior data center experience is a plus, but not required - strong controls, HVAC, commissioning, electrical, or building automation experience can translate well.

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

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As a Field Technician, you will be responsible for end-to-end fiber characterization in support of network fiber services (metro dark fiber, long haul networks, etc.) in accordance with planned deployment timeframes contractually negotiated by the customer. The essential function of the role is to act as the service provider to a customer and will be expected to meet all customer expectations regarding technical skills, performance, and policy compliance.

You will be managing the day-to-day fiber testing - handling demanding situations, keeping projects on track, ensuring that vendors meet standards and delivery times, resolving issues, working with internal staff and stakeholders, helping teams/vendors buy into and work towards common goals and deadlines.

You will work closely with other team members to understand delivery targets of new and existing fiber routes and technical requirements. As a field technician you will also work closely with internal project management teams to communicate target completion dates and ensure that all internal requirements are being met in a timely manner.

This role will be remote, with travel to a customer facility location.

You Will Make an Impact By

Perform testing to gauge cable connectivity, fiber characterization, and overall fiber network performance.Perform field analysis of test results on fiber cables and networks to identify points of failure.Knowledge of fiber characterization, fiber types, physical interfaces, connector types.Maintain project documentation to ensure schedules and deadlines are followed.Ensure site delivery with adherence to proper grounding and power standards, rack layout, conveyance routing and placement, cooling systems, diversity of POE access/routing.Maintain records and prepare required reports relevant to fiber cable, strand and network testing.

Required Qualifications for Consideration

Associate degree in a technical field such as computer science, computer engineering, network engineering or related field experience.Experience working with ISP and OSP physical fiber infrastructureStrong knowledge testing fiber with OTDR, understanding and interpreting OTDR test results.Experience in fiber optic cable design and implementation projects.Strong understanding of both fiber and telecommunications projects.Strong understanding of fiber types and fiber splicing methodology.Excellent communications and customer service skills.

You Will Excite Us If You

Experienced in the delivery of telecommunications infrastructure and space and power from third-party suppliers.Knowledge of Dark Fiber Delivery.Knowledge of fusion splicing and all aspects of fusion splicing.Deep understanding of interconnectivity requirements within carrier hotels including physical interfaces, cable types, connector types and riser details.Excellent organizational, project-management and communication skills

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

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About the Role

We are seeking a hands-on Datacenter Installation Specialist to support data center infrastructure deployments and ISP-related projects. This position focuses on rack and stack activities, fiber infrastructure installation, structured cabling, hardware deployment, and ongoing support within a data center environment.

This is an excellent opportunity for technicians with strong experience in data centers, fiber optics, structured cabling, and network infrastructure installations.

Key Responsibilities

Install and rack servers, switches, storage devices, and network equipment.Perform rack and stack activities including rails, cabinets, PDUs, and cable management systems.Route, terminate, label, and document fiber and copper cabling.Install and maintain fiber infrastructure, patch panels, and ODFs.Perform fiber testing, troubleshooting, and connectivity validation.Support hardware upgrades, replacements, decommissions, and break-fix activities.Read and interpret rack elevations, floor plans, and deployment documentation.Maintain accurate installation records and asset documentation.Support data center expansion and infrastructure upgrade projects.Work closely with engineering, project management, and operations teams.

Required Skills

3+ years of experience in data center installations, rack and stack, or network infrastructure deployments.Hands-on experience installing servers, switches, routers, cabinets, and rack equipment.Experience with fiber optic cabling, termination, patching, and testing.Knowledge of structured cabling standards and best practices.Experience reading rack elevations, schematics, and deployment plans.Strong troubleshooting and hardware break-fix skills.Ability to work onsite and perform physical installation activities.

Preferred Skills

OTDR testing and fiber certification experience.Fusion splicing or fiber troubleshooting experience.Experience supporting ISP, colocation, or hyperscale data centers.Experience with Liquid Cooled Rack (LCR) environments or CDU systems.Remote hands support experience.Strong documentation and customer-facing communication skills.

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

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