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We are seeking a Quality Control Master Control Operator to join a fast-paced broadcast operations team supporting a major systems migration initiative. This position plays a critical role in ensuring the quality, continuity, and reliability of over 150 broadcast channel streams in a 24/7 environment.

What You'll DoPerform quality control checks on programming, commercials, and promotional content before air.Monitor live and recorded broadcasts for audio, video, captioning, and transmission quality.Manage automation playlists, programming schedules, and commercial logs using systems such as SNELL Morpheus and Amagi.Execute commercial break integrations and support live event broadcasts.Ensure all content is prepared and available for scheduled playout.Identify, troubleshoot, and escalate on-air issues while supporting rapid recovery efforts.Coordinate with programming, production, and operations teams to implement schedule and playlist updates.Support daily master control operations, event preparation, rehearsals, and contingency procedures.Required Qualifications

Looking for minimum 1 year of exp as a technician or operators or engineer within broadcasting or graduate from Colorado Media School

Experience in Master Control Operations, Broadcast Operations, Production Control Rooms, or similar environments
Knowledge of broadcast automation systems and playout workflows
Experience monitoring audio, video, and captioning quality
Strong troubleshooting and problem-solving skills
Excellent communication and attention to detail
Ability to multitask in a fast-paced, deadline-driven environment

Preferred QualificationsExperience with SNELL Morpheus, Amagi, or similar broadcast automation platformsLive event broadcasting experiencePrior Quality Control (QC) experience in a broadcast environmentSpanish language proficiency is a plusWhy Apply?Work with a large-scale broadcast operation supporting 150+ channel streams.Gain experience during a major broadcast systems transformation initiative.Opportunity for future long-term or full-time consideration.Join a collaborative team in a mission-critical media operations environment.

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

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Dynamics 365 CE / CRM Technical Consultant - 3 Month Contract

Location: London Onsite
Contract: 3 months

Role: Dynamics 365 CE / CRM Technical Consultant

We are looking for an experienced Dynamics 365 CE / CRM Technical Consultant to deliver a hands-on new Microsoft Dynamics 365 CE Sales solution on an initial 3-month contract.

The primary focus of this role is Dynamics 365 CE delivery, requiring proven experience in designing, building, configuring, deploying and migrating CRM solutions. You will take ownership of the technical delivery lifecycle, from requirements gathering and solution design through to configuration, CRM migration, integration, testing, UAT, training and go-live.

We are seeking a consultant who can work independently, translate business requirements into a practical CRM solution, and deliver results within a fixed project timeframe.

The successful consultant will need strong experience delivering Dynamics 365 CE Sales implementations and CRM migrations within tight project timescales.

Key Responsibilities

Lead requirements and discovery workshops with business and technical stakeholdersDesign and configure a Dynamics 365 CE Sales solution aligned with business requirements.Configure core CRM functionality, including accounts, contacts, leads, opportunities, activities and sales pipelinesCustomise forms, views, business rules, security roles and business process flowsDesign and manage the Microsoft Dataverse data modelPlan & deliver the migration from the existing CRM into Dynamics 365 CEManage data mapping, cleansing, deduplication, transformation and reconciliationConfigure and deploy Dynamics 365 CE solutions accross relevent environments.Develop and validate end-to-end sales processes and CRM functionalitySupport integrations with Zoom and Google Cloud Platform (GCP)Conduct configuration, integration, regression and migration testingSupport user acceptance testing UAT, troubleshoot issues and manage defect resolutionDevelop dashboards and reporting, to support business users Deliver user training, technical documentation and handoverSupport go-live and post-migration validation

Essential Experience

Minimum 3 years' hands-on Dynamics 365 CE Sales implementation experienceProven experience building, designing, configuring and deploying Dynamics 365 solutions, particularly Dynamics 365 Sales.Demonstratable experience delivering CRM data migrations into Dynamics 365 CE.Minimum 3 years' CRM migration experience into Dynamics 365 CE SalesStrong Dynamics 365 Sales configuration experienceStrong practical knowledge of Microsoft Dataverse and CRM data modellingStrong understanding of CRM data mapping, migration, transformation and data cleansingBusiness Process FlowsSecurity roles and access controlsExperience with Dynamics 365 solution management and deploymentExperience with Requirements gathering and solution designIntegration and API experienceEnd-to-end testing and UATExperience delivering user training and technical handoverAbility to independently deliver within a fixed 3-month project timeframe

Desirable

Power AutomatePower BIZoom integrationGoogle Cloud Platform / GCPMicrosoft Power Platform experienceRelevant Microsoft Dynamics 365 / Power Platform certificationsExperience within sport, hospitality or another fast-paced commercial environment

The Ideal Candidate

You will be hands-on Dynamics 365 CE Specialist who can take a CRM implementation from design through to deployment and migration. You should be confident working with stakeholders, making technical decisions, solving problems independently and delivering a functional solution within tight deadlines.

Dynamics 365 CE/CRM is the primary focus of this role. Broader Power Platform knowledge is beneficial but secondary to proven, practical CE implementation and migration experience,

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

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Position Summary
We are seeking a Quality Control Master Control Operator to support 24/7 broadcast operations during a major systems migration initiative. This role is responsible for monitoring on-air programming, managing playlists, ensuring content readiness, executing commercial breaks, and maintaining the quality and continuity of 150+ channel streams. The ideal candidate has strong attention to detail, thrives in a fast-paced broadcast environment, and can respond quickly to on-air issues

Key Responsibilities
Perform quality control checks on programming, commercials, and promotional content prior to air.
Monitor live and recorded broadcasts to ensure audio, video, captioning, and overall transmission quality.
Manage and update automation playlists, programming schedules, and commercial logs using broadcast automation systems such as SNELL Morpheus and Amagi.
Execute commercial break integrations and support live event broadcasting workflows.
Monitor and maintain the availability and quality of 150+ channel streams.
Verify all content is prepared and available for scheduled playout.
Identify, troubleshoot, and escalate on-air discrepancies while supporting rapid recovery efforts.
Coordinate with production teams and operations staff to implement programming and playlist changes.
Support event preparation, rehearsals, contingency operations, and daily master control activities.
Adhere to all operational procedures, company policies, and Network Operations Center standards.
Required Qualifications
Looking for a graduate from Colorado Media School
Looking for minimum 1 year of exp as a technician or operators or engineer within broadcasting
High School Diploma, Associate Degree in Media, Communications, or a related field, or equivalent broadcast/media experience.
Understanding of television production, broadcast operations, or technical production environments.
Strong attention to detail and ability to identify inconsistencies in broadcast content.
Excellent verbal and written communication skills.
Ability to multitask and work effectively in a deadline-driven environment.
Strong problem-solving skills and ability to make decisions under pressure.

Preferred Qualifications

Graduate from Colorado media school
Experience in a Master Control, Production Control Room, Broadcast Operations, or similar environment.
Familiarity with broadcast automation systems, playout workflows, and live event operations.
Experience monitoring audio, video, and captioning quality.
Spanish language proficiency is a plus.
Additional Requirements
Must be able to work onsite in Centennial, CO.
Availability to work rotating shifts, including nights, weekends, and holidays, in a 24/7 operation.
Must be authorized to work in the United States.

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

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Senior MLOps Engineer

Role Summary

We are seeking a Senior MLOps Engineer to lead the development and management of infrastructure designed for training, deploying, and maintaining ML models. This role plays a critical function in operationalizing state-of-the-art systems to ensure high-performance delivery across research and production environments.

The successful candidate will be responsible for designing and implementing infrastructure to support efficient model deployment, inference, monitoring, and retraining. This includes close collaboration with cross-functional teams to integrate machine learning models into scalable and secure production pipelines, enabling the delivery of real-time, data-driven solutions across various domains.

Key Responsibilities

Inference Serving Across a Wide Model Range: Deploy and scale self-hosted open-weight models from ~7B up to ~376B parameters using engines such as vLLM, Triton, or TGI, choosing serving strategies (continuous batching, tensor/pipeline parallelism, quantization) appropriate to each model's size and SLA.Multi-Provider Gateway & Cost Governance: Operate and improve the routing layer that spans self-hosted models and external APIs (OpenAI, Anthropic, OpenRouter). Build token accounting, budget controls, and cost/latency/quality-aware routing for model consumption predictably and within budget.Training & Fine-Tuning Infrastructure: Build and maintain automated pipelines for fine-tuning, evaluation, versioning, and continuous delivery (MLflow, SageMaker Pipelines, or Kubeflow), including distributed training with DeepSpeed, FSDP, or Accelerate.Reliability & Observability: Own production reliability for ML services, including monitoring, logging, alerting, incident response, and safe rollback, to meet latency, throughput, and availability targets. Participate in on-call for the serving platform.Evaluation & Regression Safety: Stand up evaluation and verification harnesses that catch quality and performance regressions before they reach users, ensuring model or infrastructure changes ship with evidence rather than hope.Platform as a Product: Treat internal engineers and external end-users as customers by reducing friction through sensible defaults, self-service tooling, and clear contracts. Deliver Infrastructure-as-Code (IaC) and CI/CD for repeatable, secure deployments.Model & Cost Efficiency: Apply quantization, pruning, and multi-GPU/distributed inference to reduce latency and cost, especially at the high end of the model range.

Qualifications

Professional Experience: 5+ years in MLOps, ML Infrastructure, or ML Engineering, owning end-to-end model lifecycles in production.Production Ownership: Experience supporting ML services in production and handling real incidents, including degraded inference, GPU OOMs, and cost escalations.Inference Serving Depth: Hands-on experience serving models across a range of sizes, with real decisions made around quantization and parallelism trade-offs under latency and cost constraints.Cost & Capacity Discipline: Demonstrable track record of measuring and optimizing GPU and cloud spend for ML workloads.Programming Skills: Strong Python skills; additional C/C++ experience for performance-sensitive workloads is advantageous.Cloud & Orchestration: Strong experience with cloud services (e.g., AWS SageMaker, EC2, EKS, Lambda), Docker, and Kubernetes. Experience across major hyperscalers is beneficial.Tooling & Distributed Training: Proficiency with MLOps frameworks (MLflow, Kubeflow, or SageMaker Pipelines) and distributed training frameworks (DeepSpeed, FSDP, Accelerate).Bonus: Experience building evaluation and verification harnesses, or multi-provider LLM gateways with token and cost management.Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Engineering, or a related field, or equivalent practical experience.

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

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Senior Machine Learning Engineer
Location: Abu Dhabi, UAE - Remote Global
Type: Contract

Role Summary
We are seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced AI models. In this role, you will be responsible for the end-to-end lifecycle of machine learning systems, from architectural design and data preprocessing to model training, optimization, and production deployment.

You will work at the intersection of generative AI and traditional machine learning, building the engines that power automated requirements engineering via LLMs and predictive risk scoring and demand forecasting solutions. Operating within a structured "Sprint Zero" to "Stage Gate" delivery model, you will ensure models are not just accurate, but also robust, explainable, and deployable within strict security environments.

Key Responsibilities

LLM & NLP PipelinesRegulation Parsing: Design and fine-tune Large Language Model (LLM) pipelines to interpret complex regulatory texts (e.g., military standards, building codes) and extract structured rules.Rule Formalization: Convert natural language requirements into computer-processable formats (e.g., logic tuples) that can be executed by downstream compliance engines.Semantic Search: Implement RAG (Retrieval-Augmented Generation) architectures to enable semantic querying of technical documentation and historical project data.Prompt Engineering: Optimize prompt strategies (few-shot learning, chain-of-thought) to improve model performance on domain-specific tasks without extensive retraining. Predictive & Analytical ModelsForecasting Engines: Develop time-series forecasting models to predict material demand and spend categories, integrating internal ERP data with external market signals.Risk Scoring: Build classification and anomaly detection models to assess supplier risk profiles based on financial health, delivery performance, and geopolitical factors.Optimization Algorithms: Design algorithms for multi-objective optimization (e.g., balancing cost vs. lead time vs. risk) to support procurement decision-making. MLOps & ProductionizationModel Deployment: Containerize models using Docker/Kubernetes and deploy them into secure, on-premises inference environments.Pipeline Orchestration: Build automated training and inference pipelines using tools like Kubeflow or MLflow to ensure reproducibility and scalability.Performance Optimization: Optimize model inference latency and resource usage (e.g., quantization, distillation) to run efficiently on available hardware.Monitoring & Retraining: Implement monitoring systems to track model drift and performance in production, establishing feedback loops for continuous improvement.

Technical Requirements

Core ML/AI: Expert proficiency in Python and standard ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy).NLP & GenAI: Strong experience with transformer architectures (BERT, GPT, Llama) and NLP frameworks (Hugging Face, LangChain).MLOps: Proficiency with MLOps tools and practices, including containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLflow).Data Handling: Ability to design data preprocessing pipelines for both structured (SQL, tabular) and unstructured (text, PDF) data.Algorithm Design: Strong grasp of algorithmic principles for implementing custom logic, such as graph traversal or geometric computations.

Professional Qualifications

Experience: 5+ years of experience in Machine Learning Engineering, with a proven track record of deploying models into production environments.Domain Adaptability: Ability to quickly learn and apply ML techniques to specialized domains like defense engineering, supply chain, or construction.Structured Delivery: Experience working in agile environments (Sprints) while adhering to rigorous engineering standards and documentation requirements.Collaboration: Strong communication skills to work effectively with Data Scientists, Backend Engineers, and Domain Experts to align technical solutions with business needs.

Why This Role?

You will be building the intelligence that drives critical national infrastructure. Your models will not just generate text or predictions; they will directly influence the design of complex systems and the resilience of supply chains. If you are ready to apply advanced ML to tangible, high-stakes problems in a rigorous engineering environment, this role is for you.

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

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Job Title: Master Control Operator

Position Summary
We are seeking a Master Control Operator to support 24/7 broadcast operations during a major systems migration initiative. This role is responsible for monitoring on-air programming, managing playlists, ensuring content readiness, executing commercial breaks, and maintaining the quality and continuity of 150+ channel streams. The ideal candidate has strong attention to detail, thrives in a fast-paced broadcast environment, and can respond quickly to on-air issues.

Key Responsibilities
Perform quality control checks on programming, commercials, and promotional content prior to air.
Monitor live and recorded broadcasts to ensure audio, video, captioning, and overall transmission quality.
Manage and update automation playlists, programming schedules, and commercial logs using broadcast automation systems such as SNELL Morpheus and Amagi.
Execute commercial break integrations and support live event broadcasting workflows.
Monitor and maintain the availability and quality of 150+ channel streams.
Verify all content is prepared and available for scheduled playout.
Identify, troubleshoot, and escalate on-air discrepancies while supporting rapid recovery efforts.
Coordinate with production teams and operations staff to implement programming and playlist changes.
Support event preparation, rehearsals, contingency operations, and daily master control activities.
Adhere to all operational procedures, company policies, and Network Operations Center standards.

Required Qualifications
Looking for minimum 1 year of exp as a technician or operators or engineer within broadcasting or graduate from Colorado Media School
High School Diploma, Associate Degree in Media, Communications, or a related field, or equivalent broadcast/media experience.
Understanding of television production, broadcast operations, or technical production environments.
Strong attention to detail and ability to identify inconsistencies in broadcast content.
Excellent verbal and written communication skills.
Ability to multitask and work effectively in a deadline-driven environment.
Strong problem-solving skills and ability to make decisions under pressure.

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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Job Title: Master Control Technician

Position Summary
We are seeking a Quality Control Master Control Operator to support 24/7 broadcast operations during a major systems migration initiative. This role is responsible for monitoring on-air programming, managing playlists, ensuring content readiness, executing commercial breaks, and maintaining the quality and continuity of 150+ channel streams. The ideal candidate has strong attention to detail, thrives in a fast-paced broadcast environment, and can respond quickly to on-air issues.

Key Responsibilities
Perform quality control checks on programming, commercials, and promotional content prior to air.
Monitor live and recorded broadcasts to ensure audio, video, captioning, and overall transmission quality.
Manage and update automation playlists, programming schedules, and commercial logs using broadcast automation systems such as SNELL Morpheus and Amagi.
Execute commercial break integrations and support live event broadcasting workflows.
Monitor and maintain the availability and quality of 150+ channel streams.
Verify all content is prepared and available for scheduled playout.
Identify, troubleshoot, and escalate on-air discrepancies while supporting rapid recovery efforts.
Coordinate with production teams and operations staff to implement programming and playlist changes.
Support event preparation, rehearsals, contingency operations, and daily master control activities.
Adhere to all operational procedures, company policies, and Network Operations Center standards.

Required Qualifications
Looking for minimum 1 year of exp as a technician or operators or engineer within broadcasting or graduate from Colorado Media School
High School Diploma, Associate Degree in Media, Communications, or a related field, or equivalent broadcast/media experience.
Understanding of television production, broadcast operations, or technical production environments.
Strong attention to detail and ability to identify inconsistencies in broadcast content.
Excellent verbal and written communication skills.
Ability to multitask and work effectively in a deadline-driven environment.
Strong problem-solving skills and ability to make decisions under pressure.

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

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Job Title: Master Control Operator

Position Summary
We are seeking a Master Control Operator to support 24/7 broadcast operations during a major systems migration initiative. This role is responsible for monitoring on-air programming, managing playlists, ensuring content readiness, executing commercial breaks, and maintaining the quality and continuity of 150+ channel streams. The ideal candidate has strong attention to detail, thrives in a fast-paced broadcast environment, and can respond quickly to on-air issues.

Key Responsibilities
Perform quality control checks on programming, commercials, and promotional content prior to air.
Monitor live and recorded broadcasts to ensure audio, video, captioning, and overall transmission quality.
Manage and update automation playlists, programming schedules, and commercial logs using broadcast automation systems such as SNELL Morpheus and Amagi.
Execute commercial break integrations and support live event broadcasting workflows.
Monitor and maintain the availability and quality of 150+ channel streams.
Verify all content is prepared and available for scheduled playout.
Identify, troubleshoot, and escalate on-air discrepancies while supporting rapid recovery efforts.
Coordinate with production teams and operations staff to implement programming and playlist changes.
Support event preparation, rehearsals, contingency operations, and daily master control activities.
Adhere to all operational procedures, company policies, and Network Operations Center standards.

Required Qualifications
Looking for minimum 1 year of exp as a technician or operators or engineer within broadcasting or graduate from Colorado Media School
High School Diploma, Associate Degree in Media, Communications, or a related field, or equivalent broadcast/media experience.
Understanding of television production, broadcast operations, or technical production environments.
Strong attention to detail and ability to identify inconsistencies in broadcast content.
Excellent verbal and written communication skills.
Ability to multitask and work effectively in a deadline-driven environment.
Strong problem-solving skills and ability to make decisions under pressure.

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

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Are you a motivated Salesforce Technical Architect who is passionate about Cloud and application architecture? Do you have expert knowledge of Salesforce products and are you looking to get involved at the onset of a new platform and have the chance to really make an impact?

Note: This role is based out in Livingston, Leeds OR London (2days/week in office)

What you'll do:

Partner with product owners and solutions architecture to deliver tailored solutions across the Salesforce Ecosystem to support and realise business requirements. (Sales, Service, Communications, Experience and Marketing Clouds) Drive adoption of best practices and support a community of Salesforce Technical Designers across a wide range of initiatives to support business growth, adoption and exploitation of the Salesforce platform. Employ robust Engineering principles and practices across the design, development and delivery of changes to the Salesforce platform, working across a number of Communities of Practice to foster a culture of continuous improvement, working to define and implement best practices across the Salesforce ecosystem. Perform technical analysis, design and support implementation of changes to Salesforce platform following best practices, leveraging OOTB capabilities and customisation when necessary. Contribute to improvement of DevOps processes, Ways of Working and tools including scrum, user support, platform security, quality, version control and CI/CD. Work with domain and cross-functional agile teams to support and enhance features in CPQ, EPC, CLM and OM to support Salesforce application offerings in iterative release cycles. Manage and train advise a team of Salesforce developers and architects to build solutions using Visualforce, Lightning, APEX, APIs, and Comms Cloud components - OmniScripts, Data Raptors, Omnistudio Cards, Omnistudio Product Designer, Omnistudio Pricing Designer and Integration Procedures.

What you'll bring:

Extensive and in-depth experience of the Salesforce Digital Commerce platform and business processes including Comms Cloud (Vlocity, CPQ, EPC, OM, CLM), Sales, Service, Experience and Marketing Clouds, ideally in a Communications environment. Experience in design and development across the Salesforce platform including OmniScripts, Data Raptors, Omnistudio (Cards, Product Designer, Pricing Designer), Digital Commerce (including Cart based APIs), Lightning Web Component Framework, Apex, Triggers, SOQL/SOSL, Flows, Integration Procedures, Orchestration Plans and Event Driven integrations with external systems using SOAP, REST, BULK, Platform events and Streaming APIs. Experience of Salesforce core and Comms Cloud performance considerations and knowledge/techniques to avoid performance degradation. Good knowledge of industry CPQ offerings such as Assetization, Product lifecycle management, Digital Commerce/Cart based APIs and external APIs. Experience in building complex, scalable and high-performance software systems, including object modelling and OO design patterns that have been successfully delivered to customers. Knowledge of TOGAF principals would be advantageous. Experience with Version Control Systems and Continuous Integration/Continuous Delivery CI/CD workflows (GitLab CI/CD, Jenkins) using Vlocity Build tool (CLI) or Vlocity IDX tool and SFDX. Knowledge of using SonarQube or other static code analysis tools and ELK or Splunk for log analysis would also be beneficial for this role.

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

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