Hays Specialist Recruitment
Reading, Berkshire
This Telecommunications client's team is very specialised in mobile data. There is a specific part of the mobile network called the packet core. They are using cloud infrastructure but for this role they need someone who has worked in a similar role before, They have changed to 5G SA, so they have this as well as the Legacy EPC packet core. They are currently doing a capacity expansion and software upgrades so they need someone to help with maintaining the network. You will be a Technical Design Authority for the Evolved Packet Core (EPC) and the new 5G Dual Mode Core (5G DMC), realising the strategic architecture and strategy and translating that into a detailed design. You will be responsible for leading and actively driving those designs through test and into the live network. The focus of the role will be to support the Packet Core team in achieving compliance with the UK's Telecommunication Security Act (TSA) which will require passion for an expertise in the following areas: - Signalling Plane Security - Management Plane Security (Access Control/Identity Management/RBAC/JML/ISO27001) - Resilience, Backup & Restore design - Security Configuration/System Hardening - Security Event logging - Security Maintenance (security testing, vulnerability management and patching). The role covers all technical design aspects of the Packet Core nodes for the support of business solutions and MVNO operating models. The role incorporates Consumer/Corporate MME, AMF SGW/PGW, SMF, UPF and ePDG gateway designs to support capacity and capability builds defined in the plan of intent and to act as a Technical Design Authority as required. The role requires the holder to act as a Single Point of Contact (SPoC) for Packet Core team to support the drive for TSA compliance, which will entail engaging with other members of the Packet Core teams to obtain network design and configuration information and consolidating it for internal Security and Compliance teams. The holder will also share compliance requirements and security best practices within the Packet Core team. To be considered for this role candidates must have detailed knowledge of 2G, 3G, 4G and 5G NSA and 5G SA packet core systems. Extensive knowledge of Ericsson's PS Core Products and Ericsson OSS tools. Extensive knowledge of Virtualised environments (OpenStack, VMWare) and Cloud based computing. Extensive knowledge of PS core network functionality and technology, including all PS Core interfaces, mobility management procedures, session management procedures, interworking & handover, QoS, GTP, IP technology, MVNO, national & international roaming. Extensive knowledge of traffic monitoring systems such as Wireshark, Empirix, INET, Netscout. Knowledge of Performance Management systems. Knowledge of Radio, BSS, OSS, terminals and services etc. Flexible working options are available, but you must be prepared to work in a hybrid fashion - 2 days per week on site is expected without exception on Tuesdays and Wednesdays at the client HQ in the M3/M4 Corridor. Overseas candidates will not be considered - nor will anyone needing sponsorship. A rate of £585 per day is available - Inside IR35. If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. Staying ahead in a candidates' market means finding the right opportunity isn't enough. At Hays we'll provide you with the specific interview support, up-to-date industry insights and knowledge that give you the confidence you need to succeed. We take the time to get to know you, to help you shape the career you want. Because at Hays, we're working for your tomorrow. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
This Telecommunications client's team is very specialised in mobile data. There is a specific part of the mobile network called the packet core. They are using cloud infrastructure but for this role they need someone who has worked in a similar role before, They have changed to 5G SA, so they have this as well as the Legacy EPC packet core. They are currently doing a capacity expansion and software upgrades so they need someone to help with maintaining the network. You will be a Technical Design Authority for the Evolved Packet Core (EPC) and the new 5G Dual Mode Core (5G DMC), realising the strategic architecture and strategy and translating that into a detailed design. You will be responsible for leading and actively driving those designs through test and into the live network. The focus of the role will be to support the Packet Core team in achieving compliance with the UK's Telecommunication Security Act (TSA) which will require passion for an expertise in the following areas: - Signalling Plane Security - Management Plane Security (Access Control/Identity Management/RBAC/JML/ISO27001) - Resilience, Backup & Restore design - Security Configuration/System Hardening - Security Event logging - Security Maintenance (security testing, vulnerability management and patching). The role covers all technical design aspects of the Packet Core nodes for the support of business solutions and MVNO operating models. The role incorporates Consumer/Corporate MME, AMF SGW/PGW, SMF, UPF and ePDG gateway designs to support capacity and capability builds defined in the plan of intent and to act as a Technical Design Authority as required. The role requires the holder to act as a Single Point of Contact (SPoC) for Packet Core team to support the drive for TSA compliance, which will entail engaging with other members of the Packet Core teams to obtain network design and configuration information and consolidating it for internal Security and Compliance teams. The holder will also share compliance requirements and security best practices within the Packet Core team. To be considered for this role candidates must have detailed knowledge of 2G, 3G, 4G and 5G NSA and 5G SA packet core systems. Extensive knowledge of Ericsson's PS Core Products and Ericsson OSS tools. Extensive knowledge of Virtualised environments (OpenStack, VMWare) and Cloud based computing. Extensive knowledge of PS core network functionality and technology, including all PS Core interfaces, mobility management procedures, session management procedures, interworking & handover, QoS, GTP, IP technology, MVNO, national & international roaming. Extensive knowledge of traffic monitoring systems such as Wireshark, Empirix, INET, Netscout. Knowledge of Performance Management systems. Knowledge of Radio, BSS, OSS, terminals and services etc. Flexible working options are available, but you must be prepared to work in a hybrid fashion - 2 days per week on site is expected without exception on Tuesdays and Wednesdays at the client HQ in the M3/M4 Corridor. Overseas candidates will not be considered - nor will anyone needing sponsorship. A rate of £585 per day is available - Inside IR35. If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. Staying ahead in a candidates' market means finding the right opportunity isn't enough. At Hays we'll provide you with the specific interview support, up-to-date industry insights and knowledge that give you the confidence you need to succeed. We take the time to get to know you, to help you shape the career you want. Because at Hays, we're working for your tomorrow. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.