Hays Specialist Recruitment
Cookstown, County Tyrone
My client based in Cookstown is seeking a software developer to join their team. As part of their software team, you'll have the opportunity to collaborate and work together to standardise processes across our manufacturing sites, participate in global project teams, and implement best practices. Additionally, you'll stay at the forefront of technology by researching and deploying the latest advancements. Your contributions will play a vital role in continuous improvement initiatives. Role: Develop logic for product flow control. Create machine interface tools. Manage production control and quality systems. Automate office workflows. Ideal Candidate: 2 years' experience in C# and .NET. Familiarity with MSSQL/SQL Server. Enthusiastic and self-motivated. Benefits: Life Assurance. Private Healthcare Pension: Enhanced contribution Canteen: Subsidized meals Recognition: Reward scheme Cycle to Work: Scheme available. Long Service Awards Workwear Provided Savings Scheme On-Site Gym If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. . Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
07/05/2024
Full time
My client based in Cookstown is seeking a software developer to join their team. As part of their software team, you'll have the opportunity to collaborate and work together to standardise processes across our manufacturing sites, participate in global project teams, and implement best practices. Additionally, you'll stay at the forefront of technology by researching and deploying the latest advancements. Your contributions will play a vital role in continuous improvement initiatives. Role: Develop logic for product flow control. Create machine interface tools. Manage production control and quality systems. Automate office workflows. Ideal Candidate: 2 years' experience in C# and .NET. Familiarity with MSSQL/SQL Server. Enthusiastic and self-motivated. Benefits: Life Assurance. Private Healthcare Pension: Enhanced contribution Canteen: Subsidized meals Recognition: Reward scheme Cycle to Work: Scheme available. Long Service Awards Workwear Provided Savings Scheme On-Site Gym If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. . Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Global Investment/Financial Services company is looking to hire an experienced Kubernetes Site Reliability Engineer as part of their Digital Assets Technical Operations Team. You will work with various engineering teams to own the design of a new multi-region, highly available, cloud-based deployment of our applications to AWS's Kubernetes Platform (EKS) Experience Several years of hands-on experience with AWS in a production environment Production experience running Kubernetes workloads on AWS using EKS Experience creating and deploying Helm charts & libraries Specialist in AWS CloudFormation, IAM, VPC and network security Experience with monitoring tools eg Cloudwatch, Datadog, Splunk Proficiency with Unix operating systems and Shell Scripting Programming experience, eg Python, preferred Experience with CDN Providers eg Akamai, preferred Experience with the agile software development life cycle preferred Automated CI/CD pipelines, eg JenkinsX (Kubernetes native), Jenkins Enterprise Skills Experience with Amazon Web Services (AWS), having managed services and applications in a large AWS cross-account environment using IAM and federated SSO Experience crafting and maintaining logging, monitoring, and alerting capabilities using tools like Datadog, Splunk, and Kibana See problems as opportunities to automate Ability to work independently with minimal direction Coordinate the overall design of highly available, secure, scalable microservices-based applications in AWS Track record of providing technical leadership to strong teams of Site Reliability Engineers Experience with configuring and deploying resilient infrastructure in multiple regions and multiple availability zones Work multi-functionally with other organizations and collaborate with our risk, product and engineering team leaders Ability to communicate at all levels with track record of strong written and verbal communications Full job spec available. To apply and find out more please reach out (see below)
07/05/2024
Project-based
Global Investment/Financial Services company is looking to hire an experienced Kubernetes Site Reliability Engineer as part of their Digital Assets Technical Operations Team. You will work with various engineering teams to own the design of a new multi-region, highly available, cloud-based deployment of our applications to AWS's Kubernetes Platform (EKS) Experience Several years of hands-on experience with AWS in a production environment Production experience running Kubernetes workloads on AWS using EKS Experience creating and deploying Helm charts & libraries Specialist in AWS CloudFormation, IAM, VPC and network security Experience with monitoring tools eg Cloudwatch, Datadog, Splunk Proficiency with Unix operating systems and Shell Scripting Programming experience, eg Python, preferred Experience with CDN Providers eg Akamai, preferred Experience with the agile software development life cycle preferred Automated CI/CD pipelines, eg JenkinsX (Kubernetes native), Jenkins Enterprise Skills Experience with Amazon Web Services (AWS), having managed services and applications in a large AWS cross-account environment using IAM and federated SSO Experience crafting and maintaining logging, monitoring, and alerting capabilities using tools like Datadog, Splunk, and Kibana See problems as opportunities to automate Ability to work independently with minimal direction Coordinate the overall design of highly available, secure, scalable microservices-based applications in AWS Track record of providing technical leadership to strong teams of Site Reliability Engineers Experience with configuring and deploying resilient infrastructure in multiple regions and multiple availability zones Work multi-functionally with other organizations and collaborate with our risk, product and engineering team leaders Ability to communicate at all levels with track record of strong written and verbal communications Full job spec available. To apply and find out more please reach out (see below)
*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.
07/05/2024
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.
*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.
07/05/2024
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.
07/05/2024
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.
Your new role Axiom Developer required for Hybrid opportunity based in Glasgow 2 days per week. You will be an Axiom Developer with experience of SDLC, Agile full life cycle knowledge, finance industry exposure along with regulatory reporting platform knowledge. You will work in the role of an Axiom Developer in a fast-paced environment, must be a self-starter, comfortable dealing with clients with strong communication skills What you'll need to succeed Axiom SL Controllerview CV10 Oracle SQL, PL/SQL Unix, Shell Scripting Autosys - batch job configurationExperience independently designing and developing Axiom ControllerView CV10 objects - freeform reports, Aggregators, Data Models, Data Sources & Portfolios. Experience troubleshooting production issues and provide solutions, including user support for UAT execution. Experience with PL/SQL is required. Creation of Data Sources, Data Models, Shorthands, Portfolios, Aggregations, Free Form and Tabular Report and workflows using AXIOM Controller View tool based on Regulatory Report Requirements. Migration of Axiom components from one environment to another. Understanding the Functional documents and work with BA/Users to develop the reports. Contribute on behalf of the Technology Team to any need of reconciliation across streams. Experience with Data warehousing. Good experience in Regulatory Reporting and Data Warehousing. Experience in Regulatory and Risk reporting such as FRY 9C, FFIECxxx, 14M, 14Q is preferred.Axiom Controller View Certified preferred What you'll get in return £500 per day (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
07/05/2024
Project-based
Your new role Axiom Developer required for Hybrid opportunity based in Glasgow 2 days per week. You will be an Axiom Developer with experience of SDLC, Agile full life cycle knowledge, finance industry exposure along with regulatory reporting platform knowledge. You will work in the role of an Axiom Developer in a fast-paced environment, must be a self-starter, comfortable dealing with clients with strong communication skills What you'll need to succeed Axiom SL Controllerview CV10 Oracle SQL, PL/SQL Unix, Shell Scripting Autosys - batch job configurationExperience independently designing and developing Axiom ControllerView CV10 objects - freeform reports, Aggregators, Data Models, Data Sources & Portfolios. Experience troubleshooting production issues and provide solutions, including user support for UAT execution. Experience with PL/SQL is required. Creation of Data Sources, Data Models, Shorthands, Portfolios, Aggregations, Free Form and Tabular Report and workflows using AXIOM Controller View tool based on Regulatory Report Requirements. Migration of Axiom components from one environment to another. Understanding the Functional documents and work with BA/Users to develop the reports. Contribute on behalf of the Technology Team to any need of reconciliation across streams. Experience with Data warehousing. Good experience in Regulatory Reporting and Data Warehousing. Experience in Regulatory and Risk reporting such as FRY 9C, FFIECxxx, 14M, 14Q is preferred.Axiom Controller View Certified preferred What you'll get in return £500 per day (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
An NHS organisation in the North West are looking for an experienced Senior IT Systems Specialist/Architect to join the team on a permanent basis . Must be an experienced Server and Storage Engineer , MSCE certified with expertise across a range of IT server infrastructure areas including Active Directory , DNS & DHCP , Certificates , Security (AV and GPO), Backup & Restore applications and methodologies as well as have specialised knowledge in SAN technologies and virtualisation and advanced skills in Microsoft Office applications. Further duties can be seen below: Responsible for all the IT server & storage Infrastructure for the organisation. Responsible for the design, development, implementation and maintenance of all server & storage integrated solutions throughout the organisation. Proactively monitor and manage the organisations server and storage to highlight trends and resolve user/network/security issues Production of technical plans and papers as required. To provide expert advice and support to other team members, and other Informatics staff as well as customers and third-party organisations as required. Responsible for the installation and configuration of any and all systems within the specific area of responsibility, ensuring that all additions and changes are documented, and that support and monitoring systems are adjusted accordingly. Must carry out the installation and documentation process personally, with others or as a delegated task to another member of the team.
07/05/2024
Full time
An NHS organisation in the North West are looking for an experienced Senior IT Systems Specialist/Architect to join the team on a permanent basis . Must be an experienced Server and Storage Engineer , MSCE certified with expertise across a range of IT server infrastructure areas including Active Directory , DNS & DHCP , Certificates , Security (AV and GPO), Backup & Restore applications and methodologies as well as have specialised knowledge in SAN technologies and virtualisation and advanced skills in Microsoft Office applications. Further duties can be seen below: Responsible for all the IT server & storage Infrastructure for the organisation. Responsible for the design, development, implementation and maintenance of all server & storage integrated solutions throughout the organisation. Proactively monitor and manage the organisations server and storage to highlight trends and resolve user/network/security issues Production of technical plans and papers as required. To provide expert advice and support to other team members, and other Informatics staff as well as customers and third-party organisations as required. Responsible for the installation and configuration of any and all systems within the specific area of responsibility, ensuring that all additions and changes are documented, and that support and monitoring systems are adjusted accordingly. Must carry out the installation and documentation process personally, with others or as a delegated task to another member of the team.
An NHS organisation in the North West are looking for an experienced Senior IT Systems Specialist/Architect to join the team on a permanent basis . Must be an experienced Server and Storage Engineer , MSCE certified with expertise across a range of IT server infrastructure areas including Active Directory , DNS & DHCP , Certificates , Security (AV and GPO), Backup & Restore applications and methodologies as well as have specialised knowledge in SAN technologies and virtualisation and advanced skills in Microsoft Office applications. Must also be experienced in Leading a Team , as this post will be responsible for Managing staff. Further duties can be seen below: Responsible for all the IT server & storage Infrastructure for the organisation. Responsible for the design, development, implementation and maintenance of all server & storage integrated solutions throughout the organisation. Proactively monitor and manage the organisations server and storage to highlight trends and resolve user/network/security issues Production of technical plans and papers as required. To provide expert advice and support to other team members, and other Informatics staff as well as customers and third-party organisations as required. Responsible for the installation and configuration of any and all systems within the specific area of responsibility, ensuring that all additions and changes are documented, and that support and monitoring systems are adjusted accordingly. Must carry out the installation and documentation process personally, with others or as a delegated task to another member of the team. Previous experience as Team Lead/Manager is essential.
07/05/2024
Full time
An NHS organisation in the North West are looking for an experienced Senior IT Systems Specialist/Architect to join the team on a permanent basis . Must be an experienced Server and Storage Engineer , MSCE certified with expertise across a range of IT server infrastructure areas including Active Directory , DNS & DHCP , Certificates , Security (AV and GPO), Backup & Restore applications and methodologies as well as have specialised knowledge in SAN technologies and virtualisation and advanced skills in Microsoft Office applications. Must also be experienced in Leading a Team , as this post will be responsible for Managing staff. Further duties can be seen below: Responsible for all the IT server & storage Infrastructure for the organisation. Responsible for the design, development, implementation and maintenance of all server & storage integrated solutions throughout the organisation. Proactively monitor and manage the organisations server and storage to highlight trends and resolve user/network/security issues Production of technical plans and papers as required. To provide expert advice and support to other team members, and other Informatics staff as well as customers and third-party organisations as required. Responsible for the installation and configuration of any and all systems within the specific area of responsibility, ensuring that all additions and changes are documented, and that support and monitoring systems are adjusted accordingly. Must carry out the installation and documentation process personally, with others or as a delegated task to another member of the team. Previous experience as Team Lead/Manager is essential.
We are currently looking on behalf of one of our important clients for a Head of Embedded Software Development. The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Oversee the Technical & Personnel Management & further development of a Software & Control Specialist Team containing 6 Engineers. Further develop software development processes in collaboration with R&D Management. Ensure the implementation of software projects in accordance with product development processes. Concept, design & implement Embedded software for the control of RF Generators. Support the definition of new software requirements & functions. Partake in quality assurance, code management & releases. Your Skills & Experience: At least 5 years of professional experience in Software Development with Industrial Production Environments. At least 2 years of experience in the Technical Management of Employees. Strong experience in C, C++, Embedded Software Development & Agile Software Development. Any experience in the area of Control is a strong plus. Ideally experienced in Technical Sub-Project Management and/or Module Ownership. Your Profile: Completed University Degree, ideally in the area of Computer Science, Physics, Electrical Engineering, Microtechnology, Materials Science or similar. Customer & team-oriented with strong communication skills. Fluent in English (spoken & written), German language skills are considered very advantageous.
06/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Head of Embedded Software Development. The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Oversee the Technical & Personnel Management & further development of a Software & Control Specialist Team containing 6 Engineers. Further develop software development processes in collaboration with R&D Management. Ensure the implementation of software projects in accordance with product development processes. Concept, design & implement Embedded software for the control of RF Generators. Support the definition of new software requirements & functions. Partake in quality assurance, code management & releases. Your Skills & Experience: At least 5 years of professional experience in Software Development with Industrial Production Environments. At least 2 years of experience in the Technical Management of Employees. Strong experience in C, C++, Embedded Software Development & Agile Software Development. Any experience in the area of Control is a strong plus. Ideally experienced in Technical Sub-Project Management and/or Module Ownership. Your Profile: Completed University Degree, ideally in the area of Computer Science, Physics, Electrical Engineering, Microtechnology, Materials Science or similar. Customer & team-oriented with strong communication skills. Fluent in English (spoken & written), German language skills are considered very advantageous.
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.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - 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.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*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.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
ARM (Advanced Resource Managers)
Corsham, Wiltshire
Lead Mechanical Engineer (Assembly, Integration & Testing) Corsham 12-month contract Paying up to £45p/h (Umbrella) ARM have partnered with an Aerospace client who are looking for an experienced AIT engineer to work out of their manufacturing site based in Corsham. As the AIT Lead Engineer, you'll be responsible for leading the Mechanical team and ensuring all engineering concepts are delivered to the shop floor. Responsibilities: * Leading a team of AIT engineers on specific projects as well as planning the mechanical team's activities on a weekly basis. * Responsible for the Mechanical Satellite element and lead the mechanical team on an ENS project through Phases 'A - E' * Produce specs from test requirements, write test plans, DDV, plans, AIT plans, test procedures, and test reports. * Control of all project MGSE, flight & support equipment * Produce MGSE requirement specs from test requirements, operating and maintaining MGSE. * Alignment - producing test procedures and operating and maintaining optical alignment equipment. * Designing test equipment, overseeing its manufacture, and commissioning * Mechanical handling of spacecraft, instruments, payloads, solar arrays, antennas etc * Prepare and carry out environmental tests (Vibration, Acoustic, Mass properties, Thermal) at unit, subsystem, instrument, and spacecraft levels. * Install and validate test instrumentation. * Support propulsion testing * Handling and installation of thermal hardware * Mechanical integration and testing of electronic units, subsystems and instruments, mechanisms, antennas, solar arrays, mechanical sub-systems, instruments, payloads, and spacecraft and control the documentation associated with performing these tasks. * Pyrotechnic handling, installation, and safety * Plan and control the workload of the AIT team consisting of engineers and technicians. * Be able to travel overseas to work for short periods (typically 2-3 months, could be 6-7 months on occasions) * Be able to integrate quickly and easily into an AIT team. Experience required: * Appreciation of satellite integration processes and project phases * Use of SAP or other ERP System * Understanding of build documentation and the need for it * Driving build quality through review of processes and implementation of improvements * Managing a team during day-to-day activities ensuring work is completed on time and the correct standard. * Controlling and delivery of projects to budget and schedule * Face-to-face dealings with customers and suppliers * Worked in volatile, high-pressure environments to resolve technical and personnel conflicts. * Spacecraft Mechanical testing on prime projects is essential. * Leading other team members * Production of MGSE specs and operation of MGSE and flight HW * Production of high-quality documentation (test specs, test plans, test procedures, AIT Plans, DDV plans) Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
03/05/2024
Project-based
Lead Mechanical Engineer (Assembly, Integration & Testing) Corsham 12-month contract Paying up to £45p/h (Umbrella) ARM have partnered with an Aerospace client who are looking for an experienced AIT engineer to work out of their manufacturing site based in Corsham. As the AIT Lead Engineer, you'll be responsible for leading the Mechanical team and ensuring all engineering concepts are delivered to the shop floor. Responsibilities: * Leading a team of AIT engineers on specific projects as well as planning the mechanical team's activities on a weekly basis. * Responsible for the Mechanical Satellite element and lead the mechanical team on an ENS project through Phases 'A - E' * Produce specs from test requirements, write test plans, DDV, plans, AIT plans, test procedures, and test reports. * Control of all project MGSE, flight & support equipment * Produce MGSE requirement specs from test requirements, operating and maintaining MGSE. * Alignment - producing test procedures and operating and maintaining optical alignment equipment. * Designing test equipment, overseeing its manufacture, and commissioning * Mechanical handling of spacecraft, instruments, payloads, solar arrays, antennas etc * Prepare and carry out environmental tests (Vibration, Acoustic, Mass properties, Thermal) at unit, subsystem, instrument, and spacecraft levels. * Install and validate test instrumentation. * Support propulsion testing * Handling and installation of thermal hardware * Mechanical integration and testing of electronic units, subsystems and instruments, mechanisms, antennas, solar arrays, mechanical sub-systems, instruments, payloads, and spacecraft and control the documentation associated with performing these tasks. * Pyrotechnic handling, installation, and safety * Plan and control the workload of the AIT team consisting of engineers and technicians. * Be able to travel overseas to work for short periods (typically 2-3 months, could be 6-7 months on occasions) * Be able to integrate quickly and easily into an AIT team. Experience required: * Appreciation of satellite integration processes and project phases * Use of SAP or other ERP System * Understanding of build documentation and the need for it * Driving build quality through review of processes and implementation of improvements * Managing a team during day-to-day activities ensuring work is completed on time and the correct standard. * Controlling and delivery of projects to budget and schedule * Face-to-face dealings with customers and suppliers * Worked in volatile, high-pressure environments to resolve technical and personnel conflicts. * Spacecraft Mechanical testing on prime projects is essential. * Leading other team members * Production of MGSE specs and operation of MGSE and flight HW * Production of high-quality documentation (test specs, test plans, test procedures, AIT Plans, DDV plans) Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
ARM (Advanced Resource Managers)
Stevenage, Hertfordshire
Mechanical Engineer (Assembly, Integration & Testing) Stevenage 12-month contract Paying up to £35p/h (Umbrella) ARM has partnered with an Aerospace client who is looking for an experienced Mechanical Engineer (AIT) to work out of their manufacturing site based in Stevenage. As the AIT Mechanical Engineer, you'll be responsible for providing support on writing processes, plans, and procedures in 3D Experience for the production of Satellites and payloads. This includes supporting hardware assembly on the Satellites such as black boxes, Solar Array, and structure panels. Supporting Satellite environmental testing at the test facility. Responsibilities: * Support to the customization phase starting at the project kick-off. * Support project DMU (Digital mock-up/design for manufacture) sessions to ensure design for manufacture. * Lead the installation of Satellite appendages and applicable integration flows and preparation. * Oversee unit installation activities on the Satellite. * Support quality reviews, conduct PFMEA and Root Cause Analysis * Support in the creation of re-work instructions based on project requirements and identify parts and tooling required to carry them out. * Design of tooling/build aids for assembly execution * Support to R&D * Training module creation and maintenance. Experience required: * Minimum of HNC level in a Mechanical engineering discipline * Good planning skills and process competence, (MRP system experience an advantage) * Satellite Appendage installation process (Solar Array, reflectors, antennas, deployable systems). * Good understanding and detailed experience of complex mechanical systems. * Lean manufacturing techniques including 5S, root cause analysis, and continuous improvement. * Prepare and carry out environmental tests (Vibration, Acoustic, Mass properties, Thermal) at unit, subsystem, instrument, and spacecraft levels. * Handling and installation of thermal hardware (heaters, thermistors) * Mechanical integration of electronic units, subsystems and instruments, mechanisms, antennas, solar arrays, mechanical sub-systems, instruments, payloads, and spacecraft and control the documentation/process associated with performing these * Previous experience with payload builds is a distinct advantage. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
03/05/2024
Project-based
Mechanical Engineer (Assembly, Integration & Testing) Stevenage 12-month contract Paying up to £35p/h (Umbrella) ARM has partnered with an Aerospace client who is looking for an experienced Mechanical Engineer (AIT) to work out of their manufacturing site based in Stevenage. As the AIT Mechanical Engineer, you'll be responsible for providing support on writing processes, plans, and procedures in 3D Experience for the production of Satellites and payloads. This includes supporting hardware assembly on the Satellites such as black boxes, Solar Array, and structure panels. Supporting Satellite environmental testing at the test facility. Responsibilities: * Support to the customization phase starting at the project kick-off. * Support project DMU (Digital mock-up/design for manufacture) sessions to ensure design for manufacture. * Lead the installation of Satellite appendages and applicable integration flows and preparation. * Oversee unit installation activities on the Satellite. * Support quality reviews, conduct PFMEA and Root Cause Analysis * Support in the creation of re-work instructions based on project requirements and identify parts and tooling required to carry them out. * Design of tooling/build aids for assembly execution * Support to R&D * Training module creation and maintenance. Experience required: * Minimum of HNC level in a Mechanical engineering discipline * Good planning skills and process competence, (MRP system experience an advantage) * Satellite Appendage installation process (Solar Array, reflectors, antennas, deployable systems). * Good understanding and detailed experience of complex mechanical systems. * Lean manufacturing techniques including 5S, root cause analysis, and continuous improvement. * Prepare and carry out environmental tests (Vibration, Acoustic, Mass properties, Thermal) at unit, subsystem, instrument, and spacecraft levels. * Handling and installation of thermal hardware (heaters, thermistors) * Mechanical integration of electronic units, subsystems and instruments, mechanisms, antennas, solar arrays, mechanical sub-systems, instruments, payloads, and spacecraft and control the documentation/process associated with performing these * Previous experience with payload builds is a distinct advantage. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Job Title: Technical Experience Specialist Department: Customer Support Company Overview: Our client is a renowned provider of innovative technology solutions. They are committed to enhancing customer experiences through cutting-edge products and exceptional support services. Job Description: We are seeking a dynamic and detail-oriented Customer Experience Specialist/Analyst to join our Customer Support team. The primary focus of this role is to create engaging and user-friendly content for our customers, develop our Chat Bot function, and analyse data to continually improve the customer experience. Key Responsibilities: Participate in building and developing chatbot/Chat GPT and machine translation processes and workflows. Conduct thorough analysis of previous Chat Bot data to identify improvement areas and enhance user interactions. Contribute to proposals for the design, structure, and delivery methods of content to optimise customer engagement. Collaborate with the call centre team to review contact trends and recommend improvements to end-user content. Liaise with document and development teams across international Brother sales offices to ensure consistent content quality and user-friendliness. Review, edit, and create English-language content for product guides, user interfaces, FAQs, and other informational materials. Manage production schedules to meet all deadlines and maintain high standards of content delivery. Education and Experience Required: Essential: Experience in end user content review and creation, ideally in hardware and/or software domains. Good understanding of customer journey and mapping, particularly using Chat Bot systems. Excellent analytical skills and strong communication abilities. Previous work experience in a customer support function with attention to detail. Proficiency in Microsoft Office and Adobe Acrobat. Desirable: Degree-level education or equivalent professional experience. Team leader or Supervisory experience Experience working within a global company, collaborating with multi-national teams. Familiarity with corporate industry-standard style guides for content creation. Knowledge of machine translation systems. Benefits: £38k-43k based on experience Flexi Working Hours (37.5 working week) Monday-Friday Hybrid working model (2 Office/3 Home) 25 days holidays + BH Free Parking Opportunities for professional growth and development within a leading technology company. How to Apply: If you are a motivated individual who thrives in a dynamic environment and is passionate about enhancing customer experiences through innovative solutions, we encourage you to apply. Please send your CV and a cover letter detailing your relevant experience The Recruitment Co. is an equal opportunities employer and we're committed to diversity and inclusion in the workplace.
03/05/2024
Full time
Job Title: Technical Experience Specialist Department: Customer Support Company Overview: Our client is a renowned provider of innovative technology solutions. They are committed to enhancing customer experiences through cutting-edge products and exceptional support services. Job Description: We are seeking a dynamic and detail-oriented Customer Experience Specialist/Analyst to join our Customer Support team. The primary focus of this role is to create engaging and user-friendly content for our customers, develop our Chat Bot function, and analyse data to continually improve the customer experience. Key Responsibilities: Participate in building and developing chatbot/Chat GPT and machine translation processes and workflows. Conduct thorough analysis of previous Chat Bot data to identify improvement areas and enhance user interactions. Contribute to proposals for the design, structure, and delivery methods of content to optimise customer engagement. Collaborate with the call centre team to review contact trends and recommend improvements to end-user content. Liaise with document and development teams across international Brother sales offices to ensure consistent content quality and user-friendliness. Review, edit, and create English-language content for product guides, user interfaces, FAQs, and other informational materials. Manage production schedules to meet all deadlines and maintain high standards of content delivery. Education and Experience Required: Essential: Experience in end user content review and creation, ideally in hardware and/or software domains. Good understanding of customer journey and mapping, particularly using Chat Bot systems. Excellent analytical skills and strong communication abilities. Previous work experience in a customer support function with attention to detail. Proficiency in Microsoft Office and Adobe Acrobat. Desirable: Degree-level education or equivalent professional experience. Team leader or Supervisory experience Experience working within a global company, collaborating with multi-national teams. Familiarity with corporate industry-standard style guides for content creation. Knowledge of machine translation systems. Benefits: £38k-43k based on experience Flexi Working Hours (37.5 working week) Monday-Friday Hybrid working model (2 Office/3 Home) 25 days holidays + BH Free Parking Opportunities for professional growth and development within a leading technology company. How to Apply: If you are a motivated individual who thrives in a dynamic environment and is passionate about enhancing customer experiences through innovative solutions, we encourage you to apply. Please send your CV and a cover letter detailing your relevant experience The Recruitment Co. is an equal opportunities employer and we're committed to diversity and inclusion in the workplace.
ARM (Advanced Resource Managers)
Gloucester, Gloucestershire
A market-leading Aerospace client of ours is currently in the market for a Maintenance Fitter to join their team based in Gloucester. You will be part of a diverse multi skilled process and assemble maintenance team, working on equipment used in surface finish, heat treatment, Non-Destructive Testing (NDT), paint & OE Assembly. This role involves being responsible for the safe upkeep and reliability of production assets used in the manufacturing of aircraft parts. Your responsibilities will include: * Carrying out reactive and preventative maintenance. * Interoperation of engineering drawings to fault find & identify spare parts required. * Documenting & Prioritising work through a CMMS. * Operate within all HS&E standards and Policies. What they are looking for. Mandatory: * Time served engineering maintenance apprenticeship (NVQ Level 3) * Must be able to read mechanical drawings including assembly and schematics. * Ability to work as part of a team and work independently. * Ability to demonstrate fault-finding skills/abilities. * Fabrication and fitting skills (Core bench-fitting skills necessary). * Experience using a CMMS (Computerised Maintenance Management System). * Be able to work safely and adhere to HS&E standards and policies. Preferred: * Suitable experience working with furnaces, NDT equipment or surface finish equipment * Electrical experience/qualification. * HNC in mechanical engineering. * Knowledge of lean, 5s & 6 sigma methodologies. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
03/05/2024
Full time
A market-leading Aerospace client of ours is currently in the market for a Maintenance Fitter to join their team based in Gloucester. You will be part of a diverse multi skilled process and assemble maintenance team, working on equipment used in surface finish, heat treatment, Non-Destructive Testing (NDT), paint & OE Assembly. This role involves being responsible for the safe upkeep and reliability of production assets used in the manufacturing of aircraft parts. Your responsibilities will include: * Carrying out reactive and preventative maintenance. * Interoperation of engineering drawings to fault find & identify spare parts required. * Documenting & Prioritising work through a CMMS. * Operate within all HS&E standards and Policies. What they are looking for. Mandatory: * Time served engineering maintenance apprenticeship (NVQ Level 3) * Must be able to read mechanical drawings including assembly and schematics. * Ability to work as part of a team and work independently. * Ability to demonstrate fault-finding skills/abilities. * Fabrication and fitting skills (Core bench-fitting skills necessary). * Experience using a CMMS (Computerised Maintenance Management System). * Be able to work safely and adhere to HS&E standards and policies. Preferred: * Suitable experience working with furnaces, NDT equipment or surface finish equipment * Electrical experience/qualification. * HNC in mechanical engineering. * Knowledge of lean, 5s & 6 sigma methodologies. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
Job Purpose & Summary Your expertise as a Multimedia Specialist is essential to our team. This is a multi-disciplinary role across a broad range of platforms, and you will need to be an expert in graphic design, photography, videography, web development and search engine marketing. You will work both independently and as part of a team, and your ability to execute these tasks effectively is crucial to the growth and prosperity of our organisation. Key responsibilities Implement and manage performance of Magenta, Joomla, Shopify, WordPress & HTML sites via organic search engine marketing. Devise, develop and execute off-page linking strategies, where necessary. Optimize websites, Google/Facebook feeds to ensure content engagement and conversion. Monitor performance of sites against acquisition targets identifying areas for improvement and provide recommendations. Create and implement on-page and off-page strategies to facilitate acquisition targets across all digital channels. Identify digital gaps and provide development team with recommendations for implementation based on driving maximum traffic, engagement and conversion while following white-hat SEO best practices. Monitor competitors and provide recommendations to ensure clients achieve maximum returns. Development in conjunction with design team for specific landing page optimization/conversion AdWords campaigns across Magento, Joomla, Shopify, WordPress and HTML. Provide assistance with specifying and designing Internet strategies and web-based methods. Oversee the creative process and give guidance to the design/media team as required. Collaborate with web developers to integrate multimedia elements into websites and optimize user experiences. Ensure content is responsive and accessible. Create and format multimedia content for various media platforms, adapting content to meet platform-specific requirements and trends. Testing multimedia products for technical errors or faults and correct accordingly. Analysing, designing and developing Internet sites applying a mixture of artistry and creativity with software programming and Scripting languages and interfacing with operating environments. Communicating with network specialists regarding web-related issues, such as security and hosting websites, to control and enforce Internet and web server security, space allocation, user access, business continuity, website backup and disaster recovery planning. Designing, developing and integrating computer code with other specialised inputs, such as image files, audio files and Scripting languages, to produce, maintain and support websites. Continue to develop enhancements for product HyperGift. Monitor Product HyperGift sales and provide marketing strategies for current HyperGift clients. Production of HyperGift training videos. Monitor and upgrade Product HyperGift Voucher Templates. Skills and Qualifications Minimum of 5 years' in SEO and development experience across multiple CMS/websites. Excellent analytical skills with experience of delivering reports and ensuring recommended actions. Working development knowledge of Opensource CMS, Shopify, PHP, HTML 5, Java and Python. C# added advantage. Proficiency in multimedia software and tools, such as Adobe Creative Suite (Premiere Pro, After Effects, Photoshop, Illustrator), Final Cut Pro, or similar. Strong understanding of photo/video production techniques, including shooting, editing, color correction, and sound design. Drone operator experience, preferably DJI. A good understanding of technologies used to run, track and optimise campaigns. Super analytical, evaluative and problem-solving abilities. Ability to establish priorities, work independently and proceed with objectives without supervision. Team Player.
03/05/2024
Full time
Job Purpose & Summary Your expertise as a Multimedia Specialist is essential to our team. This is a multi-disciplinary role across a broad range of platforms, and you will need to be an expert in graphic design, photography, videography, web development and search engine marketing. You will work both independently and as part of a team, and your ability to execute these tasks effectively is crucial to the growth and prosperity of our organisation. Key responsibilities Implement and manage performance of Magenta, Joomla, Shopify, WordPress & HTML sites via organic search engine marketing. Devise, develop and execute off-page linking strategies, where necessary. Optimize websites, Google/Facebook feeds to ensure content engagement and conversion. Monitor performance of sites against acquisition targets identifying areas for improvement and provide recommendations. Create and implement on-page and off-page strategies to facilitate acquisition targets across all digital channels. Identify digital gaps and provide development team with recommendations for implementation based on driving maximum traffic, engagement and conversion while following white-hat SEO best practices. Monitor competitors and provide recommendations to ensure clients achieve maximum returns. Development in conjunction with design team for specific landing page optimization/conversion AdWords campaigns across Magento, Joomla, Shopify, WordPress and HTML. Provide assistance with specifying and designing Internet strategies and web-based methods. Oversee the creative process and give guidance to the design/media team as required. Collaborate with web developers to integrate multimedia elements into websites and optimize user experiences. Ensure content is responsive and accessible. Create and format multimedia content for various media platforms, adapting content to meet platform-specific requirements and trends. Testing multimedia products for technical errors or faults and correct accordingly. Analysing, designing and developing Internet sites applying a mixture of artistry and creativity with software programming and Scripting languages and interfacing with operating environments. Communicating with network specialists regarding web-related issues, such as security and hosting websites, to control and enforce Internet and web server security, space allocation, user access, business continuity, website backup and disaster recovery planning. Designing, developing and integrating computer code with other specialised inputs, such as image files, audio files and Scripting languages, to produce, maintain and support websites. Continue to develop enhancements for product HyperGift. Monitor Product HyperGift sales and provide marketing strategies for current HyperGift clients. Production of HyperGift training videos. Monitor and upgrade Product HyperGift Voucher Templates. Skills and Qualifications Minimum of 5 years' in SEO and development experience across multiple CMS/websites. Excellent analytical skills with experience of delivering reports and ensuring recommended actions. Working development knowledge of Opensource CMS, Shopify, PHP, HTML 5, Java and Python. C# added advantage. Proficiency in multimedia software and tools, such as Adobe Creative Suite (Premiere Pro, After Effects, Photoshop, Illustrator), Final Cut Pro, or similar. Strong understanding of photo/video production techniques, including shooting, editing, color correction, and sound design. Drone operator experience, preferably DJI. A good understanding of technologies used to run, track and optimise campaigns. Super analytical, evaluative and problem-solving abilities. Ability to establish priorities, work independently and proceed with objectives without supervision. Team Player.