CACI Network Services
About CACI From our headquarters in London, we're busy empowering organisations to make bold, strategic moves with the power of data and technology. Founded in 1975, our operations take place from multiple offices across the UK, Europe and India with over 1600 Full time employees and an annual turnover of £179m. Our expertise spans industries, from retail and education to public sector and transport - delivering intelligent solutions that drive progress and create measurable impact. Whether it's business intelligence, customer marketing, cloud infrastructure, cybersecurity, critical national infrastructure or data management, our approach is never one-size-fits-all. We don't just deliver solutions; we build for the tomorrow's world, all while fostering a culture that allows employees to be their authentic selves and succeed in their careers. About Network Services CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities The role Responsible for the design, development, implementation, and troubleshooting of audio and video systems and infrastructure, focusing on both Legacy and cloud-based solutions Key responsibilities Install, test, analyse, troubleshoot and modify new Audio & Video processing equipment/solutions to achieve maximum performance and availability. Provide technical knowledge to the development and deployment of Audio & Video processing service infrastructure, driving improved technical and service performance. Design and drive processes to facilitate smooth and seamless deployment of new Audio & Video processing services. Design, develop, and implement Audio & Video processing systems and solutions for broadcast and satellite communications, ensuring compliance with industry standards and regulatory requirements. Supervise the delivery of 3rd party suppliers and contractors to ensure that delivery specifications and standards meet our customer requirements. Standardise equipment to minimise disruption and achieve straightforward integration with existing networks/infrastructure. Document Audio & Video processing build procedures and contribute to the continuous improvement of policies, processes and procedures. Apply standard procedures to solve problems and identify appropriate resolution. Adopt the role of Design Authority (DA) in area of Audio & Video processing expertise to ensure the delivery of the end to end customer solution and for less complex projects Lead Design Authority (LDA). Bring a commercial perspective to the operation, with a particular focus on cash management, cash preservation and optimising returns on investments made in assets and tools. Contribute to accurate forecasting and capacity management for broadcast. Work closely with cross-functional teams, including product development, network engineering, and field operations, to support the deployment and optimisation of Audio & Video processing technologies. Stay updated with the latest advancements in Audio & Video processing technologies and industry trends. Drive collaboration, innovation and continuous improvement within Audio & Video processing engineering. Provide technical leadership within the team, sharing knowledge and skills and providing mentoring support to engineers and technicians. Act as an escalation point for troubleshooting from junior engineers. Support integration projects for Legacy systems and cloud-based solutions. Core skills, knowledge and experience required Audio and video processing - Understanding of audio and video processing principles Virtualisation & Cloud Computing - proficiency with virtualisation and cloud computing eg AWS, Azure, Google Cloud platforms. Multiplexing - Proficiency in encoding and multiplexing technologies Diagnostic tools - Proficiency in diagnostic engineering tools and software Analytical and technical problem-solving skills to diagnose and resolve technical issues Communication skills - collaborate with cross-functional teams, present technical info and provide training or support Project management - ability to manage one or multiple projects or project tasks and meet deadlines Expected behaviours We have a structured performance management framework which measures continual attainment against key personal behaviours. We believe this is an important part of our success and culture. Joining as a team member we expect you to act as a role model and exemplar against these behaviours which are to be: Proactive Adaptable Flexible A team player Reliable Flexibility The key to our success is our teamwork and collaboration. We take a hybrid approach - working remotely and coming into the office depending on the business demand and collaboration required as part of the delivery process. Equal opportunities CACI is proud to be an equal employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favorably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. As a Disability Confident employer, we will: Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on to discuss individual requirements further). Offer people with health conditions and disabilities, meeting the minimum criteria for a role, an interview. Our people are unique, and we encourage, and support them, to be confident in contributing to our inclusion journey.
About CACI From our headquarters in London, we're busy empowering organisations to make bold, strategic moves with the power of data and technology. Founded in 1975, our operations take place from multiple offices across the UK, Europe and India with over 1600 Full time employees and an annual turnover of £179m. Our expertise spans industries, from retail and education to public sector and transport - delivering intelligent solutions that drive progress and create measurable impact. Whether it's business intelligence, customer marketing, cloud infrastructure, cybersecurity, critical national infrastructure or data management, our approach is never one-size-fits-all. We don't just deliver solutions; we build for the tomorrow's world, all while fostering a culture that allows employees to be their authentic selves and succeed in their careers. About Network Services CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities The role Responsible for the design, development, implementation, and troubleshooting of audio and video systems and infrastructure, focusing on both Legacy and cloud-based solutions Key responsibilities Install, test, analyse, troubleshoot and modify new Audio & Video processing equipment/solutions to achieve maximum performance and availability. Provide technical knowledge to the development and deployment of Audio & Video processing service infrastructure, driving improved technical and service performance. Design and drive processes to facilitate smooth and seamless deployment of new Audio & Video processing services. Design, develop, and implement Audio & Video processing systems and solutions for broadcast and satellite communications, ensuring compliance with industry standards and regulatory requirements. Supervise the delivery of 3rd party suppliers and contractors to ensure that delivery specifications and standards meet our customer requirements. Standardise equipment to minimise disruption and achieve straightforward integration with existing networks/infrastructure. Document Audio & Video processing build procedures and contribute to the continuous improvement of policies, processes and procedures. Apply standard procedures to solve problems and identify appropriate resolution. Adopt the role of Design Authority (DA) in area of Audio & Video processing expertise to ensure the delivery of the end to end customer solution and for less complex projects Lead Design Authority (LDA). Bring a commercial perspective to the operation, with a particular focus on cash management, cash preservation and optimising returns on investments made in assets and tools. Contribute to accurate forecasting and capacity management for broadcast. Work closely with cross-functional teams, including product development, network engineering, and field operations, to support the deployment and optimisation of Audio & Video processing technologies. Stay updated with the latest advancements in Audio & Video processing technologies and industry trends. Drive collaboration, innovation and continuous improvement within Audio & Video processing engineering. Provide technical leadership within the team, sharing knowledge and skills and providing mentoring support to engineers and technicians. Act as an escalation point for troubleshooting from junior engineers. Support integration projects for Legacy systems and cloud-based solutions. Core skills, knowledge and experience required Audio and video processing - Understanding of audio and video processing principles Virtualisation & Cloud Computing - proficiency with virtualisation and cloud computing eg AWS, Azure, Google Cloud platforms. Multiplexing - Proficiency in encoding and multiplexing technologies Diagnostic tools - Proficiency in diagnostic engineering tools and software Analytical and technical problem-solving skills to diagnose and resolve technical issues Communication skills - collaborate with cross-functional teams, present technical info and provide training or support Project management - ability to manage one or multiple projects or project tasks and meet deadlines Expected behaviours We have a structured performance management framework which measures continual attainment against key personal behaviours. We believe this is an important part of our success and culture. Joining as a team member we expect you to act as a role model and exemplar against these behaviours which are to be: Proactive Adaptable Flexible A team player Reliable Flexibility The key to our success is our teamwork and collaboration. We take a hybrid approach - working remotely and coming into the office depending on the business demand and collaboration required as part of the delivery process. Equal opportunities CACI is proud to be an equal employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favorably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. As a Disability Confident employer, we will: Provide reasonable adjustments in the recruitment process where requested (contact a member of the recruitment team on to discuss individual requirements further). Offer people with health conditions and disabilities, meeting the minimum criteria for a role, an interview. Our people are unique, and we encourage, and support them, to be confident in contributing to our inclusion journey.
CV-Library
Edinburgh / Remote
MACHINE LEARNING ENGINEER (MLOPS)
HYBRID/EDINBURGH OR UK REMOTE £55-60,000 PLUS BENEFITS
Based in Edinburgh, GRW Talent’s client is considered to be the leading audio-driven facial animation provider in the video-game industry. They employ detailed muscle maps for extremely accurate real-time lip-sync, trading across two recognised brands. One is an innovative platform that integrates AI with animated digital characters, enabling engaging and meaningful interactions in any language. This platform is being used to bring best-in-class digital experiences to multiple sectors, including corporate training, immersive learning, and virtual influencers.
With a culture that thrives on collaboration, creativity and pushing technological boundaries, they are committed to providing a workplace where people can grow, innovate and make an impact. They now need to recruit an experienced Machine Learning Engineer (MLOPS).
As a Senior Machine Learning Engineer (MLOps) at you will be responsible for driving the vision and implementation of MLOps pipelines and best practices. You will support the Research team by developing and maintaining the internal machine learning platform, ensuring seamless model deployment, and resolving technical issues or bugs as they arise. This role is critical in ensuring the accuracy, efficiency, and reliability of our machine learning operations, which are essential for the development and deployment of our speech animation technologies. Note that this role doesn’t involve hands-on model training. Key responsibilities include:
Drive the vision and implementation of MLOps pipelines and best practices to ensure efficient and scalable machine learning operations.
Assume a leadership role in projects, overseeing various project planning and management responsibilities.
Develop and maintain internal tools, including the machine learning platform and python libraries.
Collaborate closely with the research team to gather their requirements and provide technical support.
Implement algorithms to support research needs.
Identify, troubleshoot, and resolve technical problems and bugs promptly.
Maintain list of third party libraries dependencies to ensure compliance with information security and licensing standards.
Write and optimise production-ready code for product deployments.
Contribute to continuous integration/continuous deployment (CI/CD) for MLOps components.
Provide guidance and maintain comprehensive technical documentation to ensure knowledge sharing and operational continuity.
The relevant candidate is educated to degree calibre in Computer Science, Software Engineering or Data Science. You are a proven Machine Learning Engineer / MLOPS, with expertise in ML platform development and model deployment, experience in establishing and improving MLOps processes, strong Python development skills and experience with a machine learning toolkit, preferably PyTorch. Familiarity with any of the following domains: signal processing, speech technology, linguistics, and mathematical optimization would be a distinct advantage.
This role represent an excellent opportunity for an aspiring and experienced Machine Learning Engineer to drive the growth of a highly successful Scottish SME in the busy gaming space. Your base salary £55-60,000 is complemented by company pension, 33 days off, free food and drink in the office, self improvement budget and learning opportunities, healthcare benefits and a fun highly social culture and environment. Our client would welcome someone who wants to come into a friendly outgoing Edinburgh office, but you could also do this remotely as long as you are free to live and work in the UK.
To apply to this role please contact our recruitment partner Bruce Hydes at GRw Talent
MACHINE LEARNING ENGINEER (MLOPS)
HYBRID/EDINBURGH OR UK REMOTE £55-60,000 PLUS BENEFITS
Based in Edinburgh, GRW Talent’s client is considered to be the leading audio-driven facial animation provider in the video-game industry. They employ detailed muscle maps for extremely accurate real-time lip-sync, trading across two recognised brands. One is an innovative platform that integrates AI with animated digital characters, enabling engaging and meaningful interactions in any language. This platform is being used to bring best-in-class digital experiences to multiple sectors, including corporate training, immersive learning, and virtual influencers.
With a culture that thrives on collaboration, creativity and pushing technological boundaries, they are committed to providing a workplace where people can grow, innovate and make an impact. They now need to recruit an experienced Machine Learning Engineer (MLOPS).
As a Senior Machine Learning Engineer (MLOps) at you will be responsible for driving the vision and implementation of MLOps pipelines and best practices. You will support the Research team by developing and maintaining the internal machine learning platform, ensuring seamless model deployment, and resolving technical issues or bugs as they arise. This role is critical in ensuring the accuracy, efficiency, and reliability of our machine learning operations, which are essential for the development and deployment of our speech animation technologies. Note that this role doesn’t involve hands-on model training. Key responsibilities include:
Drive the vision and implementation of MLOps pipelines and best practices to ensure efficient and scalable machine learning operations.
Assume a leadership role in projects, overseeing various project planning and management responsibilities.
Develop and maintain internal tools, including the machine learning platform and python libraries.
Collaborate closely with the research team to gather their requirements and provide technical support.
Implement algorithms to support research needs.
Identify, troubleshoot, and resolve technical problems and bugs promptly.
Maintain list of third party libraries dependencies to ensure compliance with information security and licensing standards.
Write and optimise production-ready code for product deployments.
Contribute to continuous integration/continuous deployment (CI/CD) for MLOps components.
Provide guidance and maintain comprehensive technical documentation to ensure knowledge sharing and operational continuity.
The relevant candidate is educated to degree calibre in Computer Science, Software Engineering or Data Science. You are a proven Machine Learning Engineer / MLOPS, with expertise in ML platform development and model deployment, experience in establishing and improving MLOps processes, strong Python development skills and experience with a machine learning toolkit, preferably PyTorch. Familiarity with any of the following domains: signal processing, speech technology, linguistics, and mathematical optimization would be a distinct advantage.
This role represent an excellent opportunity for an aspiring and experienced Machine Learning Engineer to drive the growth of a highly successful Scottish SME in the busy gaming space. Your base salary £55-60,000 is complemented by company pension, 33 days off, free food and drink in the office, self improvement budget and learning opportunities, healthcare benefits and a fun highly social culture and environment. Our client would welcome someone who wants to come into a friendly outgoing Edinburgh office, but you could also do this remotely as long as you are free to live and work in the UK.
To apply to this role please contact our recruitment partner Bruce Hydes at GRw Talent
