We are heading up a recruitment drive for a global consultancy that require a Technical Architect to join them on a major project that's based in Sheffield. Job Title - Technical Architect Day Rate - £580 Location - Hybrid/Sheffield (2 days onsite) iR35 determination - Inside Duration - 6 months initial MUST BE PAYE THROUGH UMBRELLA Role Description: Proficiency in Word, Office, and Visio. A good understanding of all aspects of infrastructure technology, including Storage, Network (N/W), Active Directory (AD), Unix, and all on-premises & enterprise technologies.[Primarily onprem] Knowledge around Linux (Primary) & Windows systems, especially Storage & Backup, would be beneficial. The role involves building a number of solutions based on what Vault does and its capabilities. Cybersecurity recovery would not be covered via this role. Familiarity with Veritas & ComVault plus other multiplatform tools
13/06/2024
Project-based
We are heading up a recruitment drive for a global consultancy that require a Technical Architect to join them on a major project that's based in Sheffield. Job Title - Technical Architect Day Rate - £580 Location - Hybrid/Sheffield (2 days onsite) iR35 determination - Inside Duration - 6 months initial MUST BE PAYE THROUGH UMBRELLA Role Description: Proficiency in Word, Office, and Visio. A good understanding of all aspects of infrastructure technology, including Storage, Network (N/W), Active Directory (AD), Unix, and all on-premises & enterprise technologies.[Primarily onprem] Knowledge around Linux (Primary) & Windows systems, especially Storage & Backup, would be beneficial. The role involves building a number of solutions based on what Vault does and its capabilities. Cybersecurity recovery would not be covered via this role. Familiarity with Veritas & ComVault plus other multiplatform tools
Job Description: Title: Infrastructure Architect Skills: Storage& Backup Active Directory Linux Location: Hybrid/Sheffield (2 days onsite) Duration: Until 30/11/24 We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Infrastructure Architect for one of their Clients based in Hybrid/Sheffield (2 days onsite). IR35: This role is Inside of IR35 Role Description: Proficiency in Word, Office, and Visio. A good understanding of all aspects of infrastructure technology, including Storage, Network (N/W), Active Directory (AD), Unix, and all on-premises & enterprise technologies.[Primarily onprem] Knowledge around Linux (Primary) & Windows systems, especially Storage & Backup, would be beneficial. The role involves building a number of solutions based on what Vault does and its capabilities. Cybersecurity recovery would not be covered via this role. Familiarity with Veritas & ComVault plus other multiplatform tools If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
13/06/2024
Project-based
Job Description: Title: Infrastructure Architect Skills: Storage& Backup Active Directory Linux Location: Hybrid/Sheffield (2 days onsite) Duration: Until 30/11/24 We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Infrastructure Architect for one of their Clients based in Hybrid/Sheffield (2 days onsite). IR35: This role is Inside of IR35 Role Description: Proficiency in Word, Office, and Visio. A good understanding of all aspects of infrastructure technology, including Storage, Network (N/W), Active Directory (AD), Unix, and all on-premises & enterprise technologies.[Primarily onprem] Knowledge around Linux (Primary) & Windows systems, especially Storage & Backup, would be beneficial. The role involves building a number of solutions based on what Vault does and its capabilities. Cybersecurity recovery would not be covered via this role. Familiarity with Veritas & ComVault plus other multiplatform tools If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Technical Architect Whitehall Resources require a Technical Architect to work with a key client on an initial 5 month contract. *This role will involve on site work in Sheffield 2 days per week. *Inside IR35. Technical Architect Role Description: . Proficiency in Word, Office, and Visio. . A good understanding of all aspects of infrastructure technology, including Storage, Network (N/W), Active Directory (AD), Unix, and all on-premises & enterprise technologies.[Primarily onprem] . Knowledge around Linux (Primary) & Windows systems, especially Storage & Backup, would be beneficial. . The role involves building a number of solutions based on what Vault does and its capabilities. . Cybersecurity recovery would not be covered via this role. . Familiarity with Veritas & ComVault plus other multiplatform tools All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
13/06/2024
Project-based
Technical Architect Whitehall Resources require a Technical Architect to work with a key client on an initial 5 month contract. *This role will involve on site work in Sheffield 2 days per week. *Inside IR35. Technical Architect Role Description: . Proficiency in Word, Office, and Visio. . A good understanding of all aspects of infrastructure technology, including Storage, Network (N/W), Active Directory (AD), Unix, and all on-premises & enterprise technologies.[Primarily onprem] . Knowledge around Linux (Primary) & Windows systems, especially Storage & Backup, would be beneficial. . The role involves building a number of solutions based on what Vault does and its capabilities. . Cybersecurity recovery would not be covered via this role. . Familiarity with Veritas & ComVault plus other multiplatform tools All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
Infrastructure Project Engineer Opportunity: A market-leading IT solutions provider specialising in platform hosting, network infrastructure, data centre and business continuity services and supply chain management is currently seeking an Infrastructure Engineer paying 45,000 circa with high earning potential in overtime/on-call to be based in Kent on a hybrid basis (very remote). Our client is particularly interested in candidate who have strong capabilities in M365, Azure (Azure Virtual Desktop), Power Platform (Power Automate, Power BI) and Intune/Autopilot. Role responsibilities: Engaging with clients to determine their technology requirements Working with clients to deliver projects to a defined scope, quality, cost and timescale for outcome success. Clarifying client system specifications, understanding working practices and the nature of the customers' business. Working at customer sites, liaising with staff at all levels within their organisation - good stakeholder management is therefore a pre-requisite. Developing new technologies and then implementing these. Presenting solutions in clear and consistent written or oral reports using Word, Excel and PowerPoint. Designing, testing, installing and monitoring systems during the Project phase Preparing documentation and presenting progress reports to customers following implementation. Core skills: Strong capabilities in M365 and Azure is a must have Recent experience of Intune/Autopilot is a must have Basic knowledge of Power Automate (Power Apps, Power BI) is a must have Virtualisation (Microsoft Hyper-V/VMware)/Failover Clustering is a must have Exchange Server/Office 365 and associated e-mail protocols is a must have RDS/Terminal Server Active Directory, DFS, Security, GPO PowerShell TCP/IP, DNS, DHCP, VPN Storage including SAN, NAS, SCSI, iSCSI and Fibre Channel Firewall configuration/troubleshooting (Checkpoint/WatchGuard/PFSense) Layer 3 switch configuration (HP Procure/Dell) Experience of Security would be an advantage (CISSP/CISM or equivalent) Package: Salary - £40,000 to £50,000 (circa) Holiday entitlement which increased over years of service. Training budget/certification (Microsoft Partner). Flexible Working/Work from Home Overtime + On-Call allowance (10k-15k in some cases). Infrastructure Project Engineer
13/06/2024
Full time
Infrastructure Project Engineer Opportunity: A market-leading IT solutions provider specialising in platform hosting, network infrastructure, data centre and business continuity services and supply chain management is currently seeking an Infrastructure Engineer paying 45,000 circa with high earning potential in overtime/on-call to be based in Kent on a hybrid basis (very remote). Our client is particularly interested in candidate who have strong capabilities in M365, Azure (Azure Virtual Desktop), Power Platform (Power Automate, Power BI) and Intune/Autopilot. Role responsibilities: Engaging with clients to determine their technology requirements Working with clients to deliver projects to a defined scope, quality, cost and timescale for outcome success. Clarifying client system specifications, understanding working practices and the nature of the customers' business. Working at customer sites, liaising with staff at all levels within their organisation - good stakeholder management is therefore a pre-requisite. Developing new technologies and then implementing these. Presenting solutions in clear and consistent written or oral reports using Word, Excel and PowerPoint. Designing, testing, installing and monitoring systems during the Project phase Preparing documentation and presenting progress reports to customers following implementation. Core skills: Strong capabilities in M365 and Azure is a must have Recent experience of Intune/Autopilot is a must have Basic knowledge of Power Automate (Power Apps, Power BI) is a must have Virtualisation (Microsoft Hyper-V/VMware)/Failover Clustering is a must have Exchange Server/Office 365 and associated e-mail protocols is a must have RDS/Terminal Server Active Directory, DFS, Security, GPO PowerShell TCP/IP, DNS, DHCP, VPN Storage including SAN, NAS, SCSI, iSCSI and Fibre Channel Firewall configuration/troubleshooting (Checkpoint/WatchGuard/PFSense) Layer 3 switch configuration (HP Procure/Dell) Experience of Security would be an advantage (CISSP/CISM or equivalent) Package: Salary - £40,000 to £50,000 (circa) Holiday entitlement which increased over years of service. Training budget/certification (Microsoft Partner). Flexible Working/Work from Home Overtime + On-Call allowance (10k-15k in some cases). Infrastructure Project Engineer
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.
12/06/2024
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
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.
12/06/2024
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.
Senior CyberArk Consultant Candidates need SC Clearance and will need to be a UK resident. £550 (Inside IR35) 3 month contract Corsham, primarily remote Essential Responsibilities and Requirements: * Proven "Hands on" experience and technical abilities associated with BAU support activities for CyberArk's Privileged Identity and Privileged Session Management Suites (EPV, CPM, PVWA, PSM, HTML5GW, and DR). * Proven experience in extending existing CyberArk technologies/practices (EPV) and providing recommendations to optimise or enhance BAU services offerings. * Good knowledge and expertise in PAM processes, procedures, and onboarding of accounts into a PAM (ideally CyberArk) solution. Required Experience & Qualifications: * Familiarity with major operating systems such as Microsoft Windows, UNIX, Linux, and applications/Middleware technologies/platforms. * Familiarity with Active Directory structures and Identity Management policies and processes * Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. * Experience facilitating business process design as it relates to managing identities and access privileges. * Experience in the Industry acting as a BAU Support Engineer for a PAM (CyberArk) solution. Key skills, behaviours: * Flexible approach and ability to work co-operatively within a newly created team environment. * Should be a self-starter and be able to perform quality assurance and control to create technical deliverables that are error free/with minimal non-functional defects. * Experience in operationally supporting large, complex technical environment. * Methodical and structured in their approach to tasks. * Capability to organise and prioritise tasks. * Strong interpersonal skills to establish/maintain relationships and interact with team members. *Strong organisation and time management skills. * Strong analytical and problem solving skills. 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.
12/06/2024
Project-based
Senior CyberArk Consultant Candidates need SC Clearance and will need to be a UK resident. £550 (Inside IR35) 3 month contract Corsham, primarily remote Essential Responsibilities and Requirements: * Proven "Hands on" experience and technical abilities associated with BAU support activities for CyberArk's Privileged Identity and Privileged Session Management Suites (EPV, CPM, PVWA, PSM, HTML5GW, and DR). * Proven experience in extending existing CyberArk technologies/practices (EPV) and providing recommendations to optimise or enhance BAU services offerings. * Good knowledge and expertise in PAM processes, procedures, and onboarding of accounts into a PAM (ideally CyberArk) solution. Required Experience & Qualifications: * Familiarity with major operating systems such as Microsoft Windows, UNIX, Linux, and applications/Middleware technologies/platforms. * Familiarity with Active Directory structures and Identity Management policies and processes * Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. * Experience facilitating business process design as it relates to managing identities and access privileges. * Experience in the Industry acting as a BAU Support Engineer for a PAM (CyberArk) solution. Key skills, behaviours: * Flexible approach and ability to work co-operatively within a newly created team environment. * Should be a self-starter and be able to perform quality assurance and control to create technical deliverables that are error free/with minimal non-functional defects. * Experience in operationally supporting large, complex technical environment. * Methodical and structured in their approach to tasks. * Capability to organise and prioritise tasks. * Strong interpersonal skills to establish/maintain relationships and interact with team members. *Strong organisation and time management skills. * Strong analytical and problem solving skills. 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.
Infrastructure Engineer (3rd line) Location: Portsmouth (1x visit to office per month) Salary: £48,500 Responsibilities Incident and Problem Management Creation and updating of documentation Timely implementation of all changes Working as part of project teams to design and deliver customer requirements Platform builds/installations/upgrades Skills required Build and application integration Strong troubleshooting skills Windows Server 2012 and above Active Directory Clustering Powershell VMware vSphere Preferably V6.5 and above ESXi vCenter Internet connectivity including Proxy Servers Desirable Skills: Citrix Xenapp Legacy Visual Basic Scripting vSphere PowerCLI Scripting IBM Bigfix automation, package creation including ActionScript Public Key Infrastructure including MS Certificate Authority, OpenSSH Ability to convey technical information and advice appropriate to the audience Mandatory Requirements: 24x7 Standby cover as part of a rota Scheduled weekend overtime as required ECS Recruitment Group Ltd is acting as an Employment Agency in relation to this vacancy.
12/06/2024
Full time
Infrastructure Engineer (3rd line) Location: Portsmouth (1x visit to office per month) Salary: £48,500 Responsibilities Incident and Problem Management Creation and updating of documentation Timely implementation of all changes Working as part of project teams to design and deliver customer requirements Platform builds/installations/upgrades Skills required Build and application integration Strong troubleshooting skills Windows Server 2012 and above Active Directory Clustering Powershell VMware vSphere Preferably V6.5 and above ESXi vCenter Internet connectivity including Proxy Servers Desirable Skills: Citrix Xenapp Legacy Visual Basic Scripting vSphere PowerCLI Scripting IBM Bigfix automation, package creation including ActionScript Public Key Infrastructure including MS Certificate Authority, OpenSSH Ability to convey technical information and advice appropriate to the audience Mandatory Requirements: 24x7 Standby cover as part of a rota Scheduled weekend overtime as required ECS Recruitment Group Ltd is acting as an Employment Agency in relation to this vacancy.
Salary: Up to£650 per day inside ir35 Location: Onsite in Hampshire Active DV clearance is required for this role I am looking for an experienced VMWare Specialist to assist in creating an IaaS platform using VMWare technologies. You will be working as part of a team to architect, deploy and optimize virtualised environments. Experience in the following area is required; + Proven experience designing, implementing, and managing VMware-based virtualization solutions, with a focus on vRealize Orchestrator (VRO), VMware Cloud Director (VCD), and NSX-T. + In-depth knowledge of virtualization concepts, VMware vSphere architecture, and related technologies. + Hands on experience with Scripting languages eg Powershell, Python If you are interested in discussing this VMWare Specialist role further, please send your updated CV to (see below) CBSbutler is acting as an employment business for this role.
12/06/2024
Project-based
Salary: Up to£650 per day inside ir35 Location: Onsite in Hampshire Active DV clearance is required for this role I am looking for an experienced VMWare Specialist to assist in creating an IaaS platform using VMWare technologies. You will be working as part of a team to architect, deploy and optimize virtualised environments. Experience in the following area is required; + Proven experience designing, implementing, and managing VMware-based virtualization solutions, with a focus on vRealize Orchestrator (VRO), VMware Cloud Director (VCD), and NSX-T. + In-depth knowledge of virtualization concepts, VMware vSphere architecture, and related technologies. + Hands on experience with Scripting languages eg Powershell, Python If you are interested in discussing this VMWare Specialist role further, please send your updated CV to (see below) CBSbutler is acting as an employment business for this role.
We are recruiting for SC Cleared CyberArk Specialists to work with a secure client based predominantly remote on contract. Primarily Remote, Corsham is issuing site for the equipment, and will infrequent visits to site. Job Description Technology CyberArk On-Premises, hands on deployment of Technology Essential Responsibilities and Requirements Proven "Hands on" experience and technical abilities associated with BAU support activities for CyberArk's Privileged Identity and Privileged Session Management Suites (EPV, CPM, PVWA, PSM, HTML5GW, and DR) Proven experience in extending existing CyberArk technologies/practices (EPV) and providing recommendations to optimise or enhance BAU services offerings. Good knowledge and expertise in PAM processes, procedures and onboarding of accounts into a PAM (ideally CyberArk) solution Required Experience: Familiarity with major operating systems such as Microsoft Windows, UNIX, Linux and applications/Middleware technologies/platforms Familiarity with Active Directory structures and Identity Management policies and processes Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. Experience facilitating business process design as it relates to managing identities and access privileges Experience in the Industry acting as a BAU Support Engineer for a PAM (CyberArk) solution Key skills Flexible approach and ability to work co-operatively within a newly created team environment Should be a self-starter and be able to perform quality assurance and control to create technical deliverables that are error free/with minimal non-functional defects. Experience in operationally supporting large, complex technical environment. Methodical and structured in their approach to tasks. Capability to organise and prioritise tasks Strong interpersonal skills to establish/maintain relationships and interact with team members Strong organisation and time management skills Strong analytical and problem solving skills Additional Comments (Clearances, special conditions, Briefing call notes etc.) Candidates need SC clearance
12/06/2024
Project-based
We are recruiting for SC Cleared CyberArk Specialists to work with a secure client based predominantly remote on contract. Primarily Remote, Corsham is issuing site for the equipment, and will infrequent visits to site. Job Description Technology CyberArk On-Premises, hands on deployment of Technology Essential Responsibilities and Requirements Proven "Hands on" experience and technical abilities associated with BAU support activities for CyberArk's Privileged Identity and Privileged Session Management Suites (EPV, CPM, PVWA, PSM, HTML5GW, and DR) Proven experience in extending existing CyberArk technologies/practices (EPV) and providing recommendations to optimise or enhance BAU services offerings. Good knowledge and expertise in PAM processes, procedures and onboarding of accounts into a PAM (ideally CyberArk) solution Required Experience: Familiarity with major operating systems such as Microsoft Windows, UNIX, Linux and applications/Middleware technologies/platforms Familiarity with Active Directory structures and Identity Management policies and processes Familiarity with PAM aspects for major RDBMS such as Microsoft SQL, Oracle, etc. Experience facilitating business process design as it relates to managing identities and access privileges Experience in the Industry acting as a BAU Support Engineer for a PAM (CyberArk) solution Key skills Flexible approach and ability to work co-operatively within a newly created team environment Should be a self-starter and be able to perform quality assurance and control to create technical deliverables that are error free/with minimal non-functional defects. Experience in operationally supporting large, complex technical environment. Methodical and structured in their approach to tasks. Capability to organise and prioritise tasks Strong interpersonal skills to establish/maintain relationships and interact with team members Strong organisation and time management skills Strong analytical and problem solving skills Additional Comments (Clearances, special conditions, Briefing call notes etc.) Candidates need SC clearance
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
11/06/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. 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. 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. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
11/06/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. 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. 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. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
Robert Half have partnered exclusively with a global manufacturing business in North Devon to support the growth of their IT function. Our client, based in North Devon have an opening for an M365 Administrator to work within the European IT Department. The successful M365 Administrator will receive a salary of £35,000 - £40,000, company benefits and progressive opportunities . We are looking for a M365 Administrator with prior experience of working in a busy IT Department. The successful M365 Administrator applicant will be working as part of a dynamic and friendly team based in North Devon, to deliver support to employees across Europe. Though the M365 Administrator role is based in North Devon there will be opportunities to travel across Europe. Main duties and responsibilities: Maintaining and administrating the M365 platform. Providing primary support and training (including arrangement of) for the M365 platform. Working with the business to foster a change in working practice to make best use of the new tools available (document sharing, Teams etc.). providing further review and implementation on how the business could extend the use of M365 platform with secondary products (Power Automate, Planner, OneNote, Teams integration etc.). Working with the local site IT teams and training staff to deliver solutions. Skills and qualifications: The ideal candidate will have previous experience of: Administrating a Microsoft365 platform (eg, AzureAD, Office, Sharepoint, Teams, Exchange, Power Platform etc) Administrating on-premises Active Directory Supporting Microsoft Office and Outlook 365 Using Powershell for Microsoft365 administration Device management of both Windows and iOS using Intune. Dynamics 365 Sales/Customer Service/Marketing The candidate must be prepared to travel within Europe Work independently whilst being part of a global team. Salary/logistics: £35,000 - £40,000 per annum DOE Hybrid working on offer Hours of work: 37.5 hour week. (Mon - Thurs 7:30am - 4:30pm) (Fri 7:30am - 12pm) Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
11/06/2024
Full time
Robert Half have partnered exclusively with a global manufacturing business in North Devon to support the growth of their IT function. Our client, based in North Devon have an opening for an M365 Administrator to work within the European IT Department. The successful M365 Administrator will receive a salary of £35,000 - £40,000, company benefits and progressive opportunities . We are looking for a M365 Administrator with prior experience of working in a busy IT Department. The successful M365 Administrator applicant will be working as part of a dynamic and friendly team based in North Devon, to deliver support to employees across Europe. Though the M365 Administrator role is based in North Devon there will be opportunities to travel across Europe. Main duties and responsibilities: Maintaining and administrating the M365 platform. Providing primary support and training (including arrangement of) for the M365 platform. Working with the business to foster a change in working practice to make best use of the new tools available (document sharing, Teams etc.). providing further review and implementation on how the business could extend the use of M365 platform with secondary products (Power Automate, Planner, OneNote, Teams integration etc.). Working with the local site IT teams and training staff to deliver solutions. Skills and qualifications: The ideal candidate will have previous experience of: Administrating a Microsoft365 platform (eg, AzureAD, Office, Sharepoint, Teams, Exchange, Power Platform etc) Administrating on-premises Active Directory Supporting Microsoft Office and Outlook 365 Using Powershell for Microsoft365 administration Device management of both Windows and iOS using Intune. Dynamics 365 Sales/Customer Service/Marketing The candidate must be prepared to travel within Europe Work independently whilst being part of a global team. Salary/logistics: £35,000 - £40,000 per annum DOE Hybrid working on offer Hours of work: 37.5 hour week. (Mon - Thurs 7:30am - 4:30pm) (Fri 7:30am - 12pm) Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
Platforms & Storage Team Lead Location: London- 2 days a week Salary: £75,000 p/a About Us: Our client a well-known media company is looking to grow its Infrastructure Team and are actively looking for a Platforms & Storage Team Lead to manage a team of engineers, ensuring the design, security, and maintenance of hybrid infrastructure platforms (NetApp ONTAP, AWS). Key Responsibilities: Design, manage, and support cloud/on-premise platforms. Maintain patching, backup/recovery, and disaster recovery procedures. Monitor platforms for security threats. Troubleshoot technical issues and ensure timely resolution. Lead and oversee key projects and report progress. Implement best practices and maintain documentation. Collaborate with IT management and vendors. Key Skills and Experience: Experience leading technical teams and projects. Expertise in hybrid environments and technologies (NetApp ONTAP, AWS, Windows/Linux Server, AzureAD, Active Directory, VMWare). Knowledge of cloud platforms, ITIL, and project management methodologies. Strong problem-solving, communication, and organisational skills. If this is something of interest, please apply directly and or drop me an E-mail to discuss. (see below)
10/06/2024
Full time
Platforms & Storage Team Lead Location: London- 2 days a week Salary: £75,000 p/a About Us: Our client a well-known media company is looking to grow its Infrastructure Team and are actively looking for a Platforms & Storage Team Lead to manage a team of engineers, ensuring the design, security, and maintenance of hybrid infrastructure platforms (NetApp ONTAP, AWS). Key Responsibilities: Design, manage, and support cloud/on-premise platforms. Maintain patching, backup/recovery, and disaster recovery procedures. Monitor platforms for security threats. Troubleshoot technical issues and ensure timely resolution. Lead and oversee key projects and report progress. Implement best practices and maintain documentation. Collaborate with IT management and vendors. Key Skills and Experience: Experience leading technical teams and projects. Expertise in hybrid environments and technologies (NetApp ONTAP, AWS, Windows/Linux Server, AzureAD, Active Directory, VMWare). Knowledge of cloud platforms, ITIL, and project management methodologies. Strong problem-solving, communication, and organisational skills. If this is something of interest, please apply directly and or drop me an E-mail to discuss. (see below)
Salary: Up to £650 per day inside ir35 Location: Onsite in Hampshire Active DV clearance is required for this role I am looking for an experienced VMWare Specialist to assist in creating an IaaS platform using VMWare technologies. You will be working as part of a team to architect, deploy and optimize virtualised environments. Experience in the following area is required; + Proven experience designing, implementing, and managing VMware-based virtualization solutions, with a focus on vRealize Orchestrator (VRO), VMware Cloud Director (VCD), and NSX-T. + In-depth knowledge of virtualization concepts, VMware vSphere architecture, and related technologies. + Hands on experience with Scripting languages eg Powershell, Python If you are interested in discussing this VMWare Specialist role further, please send your updated CV to (see below) CBSbutler is acting as an employment business for this role.
10/06/2024
Project-based
Salary: Up to £650 per day inside ir35 Location: Onsite in Hampshire Active DV clearance is required for this role I am looking for an experienced VMWare Specialist to assist in creating an IaaS platform using VMWare technologies. You will be working as part of a team to architect, deploy and optimize virtualised environments. Experience in the following area is required; + Proven experience designing, implementing, and managing VMware-based virtualization solutions, with a focus on vRealize Orchestrator (VRO), VMware Cloud Director (VCD), and NSX-T. + In-depth knowledge of virtualization concepts, VMware vSphere architecture, and related technologies. + Hands on experience with Scripting languages eg Powershell, Python If you are interested in discussing this VMWare Specialist role further, please send your updated CV to (see below) CBSbutler is acting as an employment business for this role.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
08/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
*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.
07/06/2024
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.
07/06/2024
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.
07/06/2024
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 - 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.
07/06/2024
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.