IT Technical Support Analyst - Leamington Spa, Warwickshire £35,000pa to £40,000pa + Benefits inc PRP Bonus, Pension, Private Health Care, Death in Service, 26 Days Holiday Skills Highly Desirable are any Software and Web Development experience and/or awareness particularly with Software development using PHP, HTML, Database query and management using MySQL, MSSQL End-User Support for PCs, Mobile & Hand-Held Devices, Tablets, MS Applications, Office 365 Administration, Windows 2019 Servers, VMware, Linux, and LAN/WAN and Wi-Fi Networking, Cyber Security, EDR - Endpoint, Detection, Response and Software and Web Development Skills. Renowned, privately owned UK specialist manufacturer of automotive products with an 80+ year history, is seeking a committed and motivated IT Technical Support Analyst. Additionally, any applicants who possess Web Development Skills to assist in the support of internal and external web pages will be highly desirable Your Key/Essential Responsibilities: Be the first point of contact for End-User Support for PCs, Mobile & Hand-Held Devices, Tablets, MS Applications Assist with Helpdesk, Ticket Management, Issue Escalation & Issue Resolution Windows Server Support & Configuration up to version 2019 Support & Configuration of O365, VMware & Linux Assist in IT Projects as well as BAU Operations Network Support, LAN/WAN & Wi-Fi Cyber Security Support, Endpoint, Detection & Response (EDR) etc Software and Web Development Skills. Highly Desirable Software Skills: Software development using PHP, HTML Database query and management using MySQL, MSSQL Growth Opportunities: Access to Pluralsight and many other training resources Development & Support from a forward-thinking organisation Benefits Include: Company Contribution towards personal pension Death in service Profit related bonus 26 days holiday Private health care Call Experis IT for more Information
16/05/2024
Full time
IT Technical Support Analyst - Leamington Spa, Warwickshire £35,000pa to £40,000pa + Benefits inc PRP Bonus, Pension, Private Health Care, Death in Service, 26 Days Holiday Skills Highly Desirable are any Software and Web Development experience and/or awareness particularly with Software development using PHP, HTML, Database query and management using MySQL, MSSQL End-User Support for PCs, Mobile & Hand-Held Devices, Tablets, MS Applications, Office 365 Administration, Windows 2019 Servers, VMware, Linux, and LAN/WAN and Wi-Fi Networking, Cyber Security, EDR - Endpoint, Detection, Response and Software and Web Development Skills. Renowned, privately owned UK specialist manufacturer of automotive products with an 80+ year history, is seeking a committed and motivated IT Technical Support Analyst. Additionally, any applicants who possess Web Development Skills to assist in the support of internal and external web pages will be highly desirable Your Key/Essential Responsibilities: Be the first point of contact for End-User Support for PCs, Mobile & Hand-Held Devices, Tablets, MS Applications Assist with Helpdesk, Ticket Management, Issue Escalation & Issue Resolution Windows Server Support & Configuration up to version 2019 Support & Configuration of O365, VMware & Linux Assist in IT Projects as well as BAU Operations Network Support, LAN/WAN & Wi-Fi Cyber Security Support, Endpoint, Detection & Response (EDR) etc Software and Web Development Skills. Highly Desirable Software Skills: Software development using PHP, HTML Database query and management using MySQL, MSSQL Growth Opportunities: Access to Pluralsight and many other training resources Development & Support from a forward-thinking organisation Benefits Include: Company Contribution towards personal pension Death in service Profit related bonus 26 days holiday Private health care Call Experis IT for more Information
Request Technology - Craig Johnson
New York, New York
*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.
15/05/2024
Full time
*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.
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.
15/05/2024
Full time
*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.
Our client has an exciting opportunity for an experienced and collaborative Network Engineer (Connectivity and Firewall) to join an inclusive and welcoming team in the UK. This Full time Network Engineer (Connectivity and Firewall) with the opportynity of hybrid working in either Woking or Manchester offices on a hybrid basis 2 days per week, 3 days homeworking on a base a salary of up to £50,000 p/a and excellent benefits. As a Network Engineer (Connectivity and Firewall), you will support at all levels a multitude of technologies across complex landscapes, providing expertise to deliver a stable, secure, efficient and well-managed infrastructure over the full life cycle of each solution. In your first few weeks in this Network Engineer (Connectivity and Firewall) role, you can expect to: Troubleshoot and configure enterprise networks Be responsible for Network incident diagnostics/resolution Network change implementation Undertake Project Tasks, supporting internal and external Project Managers To apply for this Network Engineer (Connectivity and Firewall) role, your soft skills, expertise and experience should include: A proven track record supporting enterprise networks with valid networking technical certifications demonstrating proficiency Expertise in supporting Firewalls, Troubleshooting and fault-finding routing issues (BGP, OSPF and EIGRP) Experience supporting Cisco ACI software-defined networks (multi-site and multi-pod) Security Check (SC) Clearance eligibility. In return for your passion, collaborative approach and commitment, you'll receive a generous salary of up to £50,000 p/a and a benefits package, and join a friendly and inclusive culture. We'd love you to apply for this Full time hybrid Network Engineer (Connectivity and Firewall) job, and we're waiting to hear from you. Please contact Deerfoot IT Recruitment today. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
14/05/2024
Full time
Our client has an exciting opportunity for an experienced and collaborative Network Engineer (Connectivity and Firewall) to join an inclusive and welcoming team in the UK. This Full time Network Engineer (Connectivity and Firewall) with the opportynity of hybrid working in either Woking or Manchester offices on a hybrid basis 2 days per week, 3 days homeworking on a base a salary of up to £50,000 p/a and excellent benefits. As a Network Engineer (Connectivity and Firewall), you will support at all levels a multitude of technologies across complex landscapes, providing expertise to deliver a stable, secure, efficient and well-managed infrastructure over the full life cycle of each solution. In your first few weeks in this Network Engineer (Connectivity and Firewall) role, you can expect to: Troubleshoot and configure enterprise networks Be responsible for Network incident diagnostics/resolution Network change implementation Undertake Project Tasks, supporting internal and external Project Managers To apply for this Network Engineer (Connectivity and Firewall) role, your soft skills, expertise and experience should include: A proven track record supporting enterprise networks with valid networking technical certifications demonstrating proficiency Expertise in supporting Firewalls, Troubleshooting and fault-finding routing issues (BGP, OSPF and EIGRP) Experience supporting Cisco ACI software-defined networks (multi-site and multi-pod) Security Check (SC) Clearance eligibility. In return for your passion, collaborative approach and commitment, you'll receive a generous salary of up to £50,000 p/a and a benefits package, and join a friendly and inclusive culture. We'd love you to apply for this Full time hybrid Network Engineer (Connectivity and Firewall) job, and we're waiting to hear from you. Please contact Deerfoot IT Recruitment today. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
Global Technology Solutions Ltd
Reading, Berkshire
Job Title: SC Cleared On Prem AD/Azure support specialist Location: Aldermaston, Reading. Potential hybrid agreements Salary: £56,525p/a Working hours: standard office hours British national only, this is due to the nature of the work and the clearances required. We are looking for customer-focused and enthusiastic Azure and Active Directory Specialist to join the company. You should have a genuine interest in solving IT issues and empathetic to customer needs and requirements. Day to day tasks include expert management and troubleshooting of Azure, Dev environments and Active Directory services and issues within a complex locked down System structure. You should possess good written and verbal communication skills, be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers' IT Leadership. The successful candidate will be responsible in supporting a strategic change to the service model and implementing design documents and processes along with new statements of work. This will require working closely with the Operations Manager and Account Project Lead to define and implement a more agile and collaborative structure which is capable of blending BAU support with short term projects and ad-hoc requests, where scoped and agreed. This will be achieved by following Agile and ITIL Continuous Service Improvement methodologies. ESSENTIALS SKILLS/QUALIFICATIONS: * 5 years plus Azure Active Directory experience (Essential) * Working Knowledge and implementation experience of Azure Dev Ops and Dev Test Labs * Azure Virtual Desktop knowledge and implementation experience (Nerdio) * Azure Cloud Infrastructure Knowledge * Infrastructure as a Code (knowledge and implementation experience) (IaC) * CI/CD pipelines knowledge and understanding * ARM templates/Bicep (knowledge and implementation experience) * Microsoft Tiered Model Knowledge and how this impacts different tiered environments * Azure Role & Functional based Security Delegation and Layers and Role Based Access Control * Azure Networking Experience * Azure Firewalls Experience * Azure Security including Conditional Access Policies and Multi Factor Authentication and Privileged Identity Management * Azure Virtual Machine Management * Azure Storage Experience * Azure Monitoring and log analytics * Azure Enterprise and ADFS Application Provisioning * Active Directory Connect/sync and Active Directory Federation Services * Azure PowerShell Scripting * Microsoft Windows Server 2016, 2019 and 2022 experience * Comfortable working with a Hybrid Joined Active Directory environment * Group Policy Management and Conditional Access Policy Management Experience * DNS, DHCP Experience * Working knowledge and understand of PKI Services * Scripting experience using BAT, PowerShell, C# and VB Scripts * Awareness of Change and Release Management * Strong communication skills both written and verbal * Self-motivated with a positive attitude and comfortable working with ambiguity * Create Operational guides and High-Level/Low-Level Designs * Good knowledge of MS Endpoint Management * Good knowledge of Office 365 and Exchange Online DESIRABLE SKILLS/QUALIFICATIONS: * Infrastructure Support experience/background inc patching, backups and restores, Windows/Linux * AD Sync and AD Connect Experience beneficial * Azure Containers * Azure Kubernetes * Azure Endpoint Management/Intune * Good knowledge across SCCM; WSUS; SCOM 2019; AGPM; Lumensions. * ITIL Foundation certified with a broad experience across Service Management disciplines and Agile delivery Benefits: * Development through Training/Certification * Put through DV clearance (including tax allowance) * potential hybrid working (home and onsite) * Joining a strong team with a wealth of knowledge and experience If you have the skill required, apply now! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
14/05/2024
Full time
Job Title: SC Cleared On Prem AD/Azure support specialist Location: Aldermaston, Reading. Potential hybrid agreements Salary: £56,525p/a Working hours: standard office hours British national only, this is due to the nature of the work and the clearances required. We are looking for customer-focused and enthusiastic Azure and Active Directory Specialist to join the company. You should have a genuine interest in solving IT issues and empathetic to customer needs and requirements. Day to day tasks include expert management and troubleshooting of Azure, Dev environments and Active Directory services and issues within a complex locked down System structure. You should possess good written and verbal communication skills, be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers' IT Leadership. The successful candidate will be responsible in supporting a strategic change to the service model and implementing design documents and processes along with new statements of work. This will require working closely with the Operations Manager and Account Project Lead to define and implement a more agile and collaborative structure which is capable of blending BAU support with short term projects and ad-hoc requests, where scoped and agreed. This will be achieved by following Agile and ITIL Continuous Service Improvement methodologies. ESSENTIALS SKILLS/QUALIFICATIONS: * 5 years plus Azure Active Directory experience (Essential) * Working Knowledge and implementation experience of Azure Dev Ops and Dev Test Labs * Azure Virtual Desktop knowledge and implementation experience (Nerdio) * Azure Cloud Infrastructure Knowledge * Infrastructure as a Code (knowledge and implementation experience) (IaC) * CI/CD pipelines knowledge and understanding * ARM templates/Bicep (knowledge and implementation experience) * Microsoft Tiered Model Knowledge and how this impacts different tiered environments * Azure Role & Functional based Security Delegation and Layers and Role Based Access Control * Azure Networking Experience * Azure Firewalls Experience * Azure Security including Conditional Access Policies and Multi Factor Authentication and Privileged Identity Management * Azure Virtual Machine Management * Azure Storage Experience * Azure Monitoring and log analytics * Azure Enterprise and ADFS Application Provisioning * Active Directory Connect/sync and Active Directory Federation Services * Azure PowerShell Scripting * Microsoft Windows Server 2016, 2019 and 2022 experience * Comfortable working with a Hybrid Joined Active Directory environment * Group Policy Management and Conditional Access Policy Management Experience * DNS, DHCP Experience * Working knowledge and understand of PKI Services * Scripting experience using BAT, PowerShell, C# and VB Scripts * Awareness of Change and Release Management * Strong communication skills both written and verbal * Self-motivated with a positive attitude and comfortable working with ambiguity * Create Operational guides and High-Level/Low-Level Designs * Good knowledge of MS Endpoint Management * Good knowledge of Office 365 and Exchange Online DESIRABLE SKILLS/QUALIFICATIONS: * Infrastructure Support experience/background inc patching, backups and restores, Windows/Linux * AD Sync and AD Connect Experience beneficial * Azure Containers * Azure Kubernetes * Azure Endpoint Management/Intune * Good knowledge across SCCM; WSUS; SCOM 2019; AGPM; Lumensions. * ITIL Foundation certified with a broad experience across Service Management disciplines and Agile delivery Benefits: * Development through Training/Certification * Put through DV clearance (including tax allowance) * potential hybrid working (home and onsite) * Joining a strong team with a wealth of knowledge and experience If you have the skill required, apply now! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
*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.
10/05/2024
Full time
*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.
Request Technology - Craig Johnson
Salt Lake City, Utah
*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.
10/05/2024
Full time
*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.
Request Technology - Craig Johnson
Chicago, Illinois
*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.
10/05/2024
Full time
*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.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership 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. Essential Functions: 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 & Requirements 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. 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.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership 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. Essential Functions: 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 & Requirements 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. 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.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership 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. Essential Functions: 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 & Requirements 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. 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.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership 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. Essential Functions: 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 & Requirements 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. 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.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership 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. Essential Functions: 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 & Requirements 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. 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.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership 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. Essential Functions: 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 & Requirements 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. 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.
Our client a global technology consulting company is seeking Nuance Biometric IVR Engineer in London, UK. Job Description: 5+ Years of Experience on Nuance IVR Systems Voice Biometrics Conversational IVR skillsets Must have in Nuance voice biometrics deployment and operations Desired hands on exposure in Nuance Speech Suite and Nuance Security Suite Knowledge on Nuance Call steering application Exposure to Contact Centre Infrastructure
10/05/2024
Full time
Our client a global technology consulting company is seeking Nuance Biometric IVR Engineer in London, UK. Job Description: 5+ Years of Experience on Nuance IVR Systems Voice Biometrics Conversational IVR skillsets Must have in Nuance voice biometrics deployment and operations Desired hands on exposure in Nuance Speech Suite and Nuance Security Suite Knowledge on Nuance Call steering application Exposure to Contact Centre Infrastructure
Physical Security Engineer (CCTV, IDS, Alarm System) Utilities Hybrid: covering the South West (Cardiff) 12 months In short: Field Force Engineer required to install and maintain Physical Security systems for a major utilities company. You will be covering the South West with an office in Cardiff. 60% of your time is likely to include travel with all expenses including your van provided. In full: We are looking for an experienced Field Technician to join our UK Physical Security Team to ensure the protection of Critical National Infrastructure assets through the use of both Physical and Cyber Security technologies, by deterring, delaying and detecting security threats and vulnerabilities. This is a field-based position where you will be expected to travel 60% of the time. If you have the ability to develop and build on an existing foundation, a drive for delivering excellent customer service and a passion for being at the heart of a clean energy future, then please apply today! What you'll do You'll be joining a small team of multiskilled Security Technicians who will be servicing, maintaining and installing various security disciplines on the client estate. This will include but not limited to, monitored Closed Circuit television, both analogue and digital, centrally managed access control systems, Public Address and intercom, Video Analytics, Electric and acoustic fence and intruder alarm, security white and infra-red lighting as well as support on the infrastructure that keep the systems running such as the Servers and UPS systems and electrical wiring. The role will provide support to the sites and locations we have across the South West so a full UK driving licence and the ability to this region is essential (vehicle provided), the role will form part of an out of hours standby and callout rota once training and authorisation has been gained. Working alongside our own Security Control Centre (SCC) Operations Team, and our first and second line support teams you will provide a key interface between SCC and site operations and our specialist contractors. What you'll need Essential: Industry Knowledge and recognised qualifications in Security Systems (for example CCTV and Access Control, Intruder Detection Systems, Automated Gates and Monitored Pulse Fencing). Service Management and Stakeholder engagement experience to include third parties suppliers and contractors. Ability to multi task in a challenging or crisis environment, while making sound and practical decisions. Ability to work well under pressure. Excellent standard of literacy and report writing. Good communicator with an ability to give clear and concise instructions. Full UK Driving License. Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.
10/05/2024
Project-based
Physical Security Engineer (CCTV, IDS, Alarm System) Utilities Hybrid: covering the South West (Cardiff) 12 months In short: Field Force Engineer required to install and maintain Physical Security systems for a major utilities company. You will be covering the South West with an office in Cardiff. 60% of your time is likely to include travel with all expenses including your van provided. In full: We are looking for an experienced Field Technician to join our UK Physical Security Team to ensure the protection of Critical National Infrastructure assets through the use of both Physical and Cyber Security technologies, by deterring, delaying and detecting security threats and vulnerabilities. This is a field-based position where you will be expected to travel 60% of the time. If you have the ability to develop and build on an existing foundation, a drive for delivering excellent customer service and a passion for being at the heart of a clean energy future, then please apply today! What you'll do You'll be joining a small team of multiskilled Security Technicians who will be servicing, maintaining and installing various security disciplines on the client estate. This will include but not limited to, monitored Closed Circuit television, both analogue and digital, centrally managed access control systems, Public Address and intercom, Video Analytics, Electric and acoustic fence and intruder alarm, security white and infra-red lighting as well as support on the infrastructure that keep the systems running such as the Servers and UPS systems and electrical wiring. The role will provide support to the sites and locations we have across the South West so a full UK driving licence and the ability to this region is essential (vehicle provided), the role will form part of an out of hours standby and callout rota once training and authorisation has been gained. Working alongside our own Security Control Centre (SCC) Operations Team, and our first and second line support teams you will provide a key interface between SCC and site operations and our specialist contractors. What you'll need Essential: Industry Knowledge and recognised qualifications in Security Systems (for example CCTV and Access Control, Intruder Detection Systems, Automated Gates and Monitored Pulse Fencing). Service Management and Stakeholder engagement experience to include third parties suppliers and contractors. Ability to multi task in a challenging or crisis environment, while making sound and practical decisions. Ability to work well under pressure. Excellent standard of literacy and report writing. Good communicator with an ability to give clear and concise instructions. Full UK Driving License. Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.
Prestigious opportunity within a pioneering Technology team for an EUC Engineer. Due to a period of significant growth and investment in both our Network and Cloud infrastructure, we are seeking to expand our team to continue our Digital transformation. This is a hybrid role 2-3 days a week on site. As one of our EUC Engineers you will be responsible for:- Providing high level technical expertise in the development, support, and maintenance of multi-platform EUC environments. Supporting projects which develop new IT services, including new services. Taking a role in the research, evaluation, development, and deployment of new and emerging technologies relevant to EUC systems and services. Formulating processes to ensure that the broad EUC platform is reliable, resilient and is capable of rapid recovery in the event of planned or unplanned circumstances disrupting normal operations. Proactively set and maintain best practice and development standards and provide advice to colleagues. Assisting the team lead with capacity planning to ensure timely project delivery. Engaging with potential and existing suppliers of EUC and platform infrastructure, providing technical evaluation and input to procurement processes, ensuring the best value. Understanding and implementing IT security into all aspects of EUC planning and delivery. If you possess a combination of some of the following skills, then LETS TALK! Experience delivering a range of tasks and projects Broad knowledge and experience of enterprise level IT systems. Windows operating systems and enterprise management. Managing/administration SCCM, JAMF in an enterprise environment. Managing Office 365 technologies and deploying into platform. Experience of Intune deployment and management Experience of deployment and management of endpoint security platforms. Experience of Active Directory, Azure AD and Group Policy management. Technical desktop support background, up to and including 3rd line. A clear understanding and drive to meet security and compliance standards and a 'secure by default' ethos. In return you will be rewarded with 25 days holiday (in addition to Bank Holidays and Christmas shutdown), 20% Employer contribution to pension and life insurance. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. 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.
09/05/2024
Full time
Prestigious opportunity within a pioneering Technology team for an EUC Engineer. Due to a period of significant growth and investment in both our Network and Cloud infrastructure, we are seeking to expand our team to continue our Digital transformation. This is a hybrid role 2-3 days a week on site. As one of our EUC Engineers you will be responsible for:- Providing high level technical expertise in the development, support, and maintenance of multi-platform EUC environments. Supporting projects which develop new IT services, including new services. Taking a role in the research, evaluation, development, and deployment of new and emerging technologies relevant to EUC systems and services. Formulating processes to ensure that the broad EUC platform is reliable, resilient and is capable of rapid recovery in the event of planned or unplanned circumstances disrupting normal operations. Proactively set and maintain best practice and development standards and provide advice to colleagues. Assisting the team lead with capacity planning to ensure timely project delivery. Engaging with potential and existing suppliers of EUC and platform infrastructure, providing technical evaluation and input to procurement processes, ensuring the best value. Understanding and implementing IT security into all aspects of EUC planning and delivery. If you possess a combination of some of the following skills, then LETS TALK! Experience delivering a range of tasks and projects Broad knowledge and experience of enterprise level IT systems. Windows operating systems and enterprise management. Managing/administration SCCM, JAMF in an enterprise environment. Managing Office 365 technologies and deploying into platform. Experience of Intune deployment and management Experience of deployment and management of endpoint security platforms. Experience of Active Directory, Azure AD and Group Policy management. Technical desktop support background, up to and including 3rd line. A clear understanding and drive to meet security and compliance standards and a 'secure by default' ethos. In return you will be rewarded with 25 days holiday (in addition to Bank Holidays and Christmas shutdown), 20% Employer contribution to pension and life insurance. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. 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.
Hays are working exclusively with a leading manufacturing company who are looking for an IT Operations Supervisor. This is still very much a hands on role, looking after around 250 users across the UK, Hardware, Infrastructure and systems. On-site daily with management of 1 team member. This could suit a 3rd line wanting to step up. Responsible for the supervision (with HR support) of IT Operations staff including appraisals, discipline, career development and Continuing Professional Development (CPD). Responsible for liaison with Group ICT on any issues arising eg Cybersecurity Coordinate operational support for all systems, effectively liaising with both regional ICT and Group ICT Management of both voice and data circuits for the UK part of the business Responsible for requests for both hardware and software for business via Group ICT PR system Responsible for the implementation of IT projects in conjunction with Group ICT Team. Responsible for the development, maintenance and implementation of IT Policies and Procedures in conjunction with the Group ICT Team. To develop and maintain a disaster recovery plan for the IT systems. Supervision and control of departmental processes (daily/weekly/monthly/annually) To respond and close service desk tickets (issued by Group ICT) effectively and in a timely manner. To respond to internal customer requests for urgent help within the office environment for hardware, cabling and software. To effectively communicate departmental priorities and ongoing projects {Temporarily} To assist with the maintenance and patching of global and regional Servers that underpin business systems before their final transition into tenant in September. To attend training as required. 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.
09/05/2024
Full time
Hays are working exclusively with a leading manufacturing company who are looking for an IT Operations Supervisor. This is still very much a hands on role, looking after around 250 users across the UK, Hardware, Infrastructure and systems. On-site daily with management of 1 team member. This could suit a 3rd line wanting to step up. Responsible for the supervision (with HR support) of IT Operations staff including appraisals, discipline, career development and Continuing Professional Development (CPD). Responsible for liaison with Group ICT on any issues arising eg Cybersecurity Coordinate operational support for all systems, effectively liaising with both regional ICT and Group ICT Management of both voice and data circuits for the UK part of the business Responsible for requests for both hardware and software for business via Group ICT PR system Responsible for the implementation of IT projects in conjunction with Group ICT Team. Responsible for the development, maintenance and implementation of IT Policies and Procedures in conjunction with the Group ICT Team. To develop and maintain a disaster recovery plan for the IT systems. Supervision and control of departmental processes (daily/weekly/monthly/annually) To respond and close service desk tickets (issued by Group ICT) effectively and in a timely manner. To respond to internal customer requests for urgent help within the office environment for hardware, cabling and software. To effectively communicate departmental priorities and ongoing projects {Temporarily} To assist with the maintenance and patching of global and regional Servers that underpin business systems before their final transition into tenant in September. To attend training as required. 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.
Position: Windows/Dell Infra Admin Location: Rugby, UK Duration: Permanent JOB DESCRIPTION: As a Senior Windows Infrastructure Admin/Engineer, you'll have a broad remit of responsibilities across the entire Windows infrastructure, service operations and support, including Active Directory, DNS, DHCP, Group policy, MFA (Multi-Factor Authentication) and Windows Server 2003 to 2012 R2 and Widows desktop solutions. You will proactively troubleshoot complex issues, devising innovative solutions and proactively introducing improvements, enhancements, and automation. Working with a wide variety of platforms and programming languages, you will be a key player in delivering a reliable, high-quality trading environment as part of a diverse, globally distributed team. Essential Responsibilities/Qualifications: Take ownership of Active Directory and Windows Server infrastructure, service operations and support. Proven track record in a similar role supporting and maintaining Microsoft AD & Server Environments. Lead on all phases of Active Directory and Windows Server estate life cycle management. Lead on troubleshooting Active Directory, DNS, DHCP, MFA and Group Policy issues. Strong technical experience in administering MFA (Multi-Factor Authentication) technologies across server and client components. Actively manage and monitor Active Directory and Server estate related ServiceNow tickets, and remediations from monitoring and alerting systems. Strong Windows Support Skills - 2012 to 2019. Experience in supporting MS Exchange. Experience in Microsoft 365 services and Endpoint Manager Good knowledge of VMWare ESX. Strong PowerShell, SCCM and SCOM skills. Contribute to IT infrastructure related security, maintenance, performance, capacity, and life cycle management. Contribute reports on infrastructure operations, services, and major incidents. Create and maintain work plans, design, and operations documentation sets. Create and review change requests to support project delivery and operational change. Work as part of a team to deliver complex solutions as lead specialist, project team resource or technical support. Good understanding of ITIL & related processes. Liaise with third parties and vendors. ITILv3/ITIL4 certified or recent relevant experience working in ITIL controlled environment. Experience writing process documentation including operational support guidelines, policies, and procedures. Strong Change management, Incident Management and Problem Management processes. Ability to create and maintain technical and design documents. Must be willing to work out of Rugby, UK site (subject to COVID regulations). Candidate must have the valid SC Clearance.
09/05/2024
Full time
Position: Windows/Dell Infra Admin Location: Rugby, UK Duration: Permanent JOB DESCRIPTION: As a Senior Windows Infrastructure Admin/Engineer, you'll have a broad remit of responsibilities across the entire Windows infrastructure, service operations and support, including Active Directory, DNS, DHCP, Group policy, MFA (Multi-Factor Authentication) and Windows Server 2003 to 2012 R2 and Widows desktop solutions. You will proactively troubleshoot complex issues, devising innovative solutions and proactively introducing improvements, enhancements, and automation. Working with a wide variety of platforms and programming languages, you will be a key player in delivering a reliable, high-quality trading environment as part of a diverse, globally distributed team. Essential Responsibilities/Qualifications: Take ownership of Active Directory and Windows Server infrastructure, service operations and support. Proven track record in a similar role supporting and maintaining Microsoft AD & Server Environments. Lead on all phases of Active Directory and Windows Server estate life cycle management. Lead on troubleshooting Active Directory, DNS, DHCP, MFA and Group Policy issues. Strong technical experience in administering MFA (Multi-Factor Authentication) technologies across server and client components. Actively manage and monitor Active Directory and Server estate related ServiceNow tickets, and remediations from monitoring and alerting systems. Strong Windows Support Skills - 2012 to 2019. Experience in supporting MS Exchange. Experience in Microsoft 365 services and Endpoint Manager Good knowledge of VMWare ESX. Strong PowerShell, SCCM and SCOM skills. Contribute to IT infrastructure related security, maintenance, performance, capacity, and life cycle management. Contribute reports on infrastructure operations, services, and major incidents. Create and maintain work plans, design, and operations documentation sets. Create and review change requests to support project delivery and operational change. Work as part of a team to deliver complex solutions as lead specialist, project team resource or technical support. Good understanding of ITIL & related processes. Liaise with third parties and vendors. ITILv3/ITIL4 certified or recent relevant experience working in ITIL controlled environment. Experience writing process documentation including operational support guidelines, policies, and procedures. Strong Change management, Incident Management and Problem Management processes. Ability to create and maintain technical and design documents. Must be willing to work out of Rugby, UK site (subject to COVID regulations). Candidate must have the valid SC Clearance.