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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
University of the Arts London (UAL) is a world-leading creative university for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several institutes that further the university's mission. Under the leadership of our President and Vice-Chancellor, we are designing the University around social purpose; through the students and ideas we send out into the world, and the partnerships we build to achieve social, environmental, and economic progress. Digital & Technology at UAL is on an exciting journey, shifting from a technology-centric to a user-centric approach, investing in the people and processes enabled by digital and transforming the student and staff experience. The VLE Technical Operations Manager is a new role in the Teaching and Learning Product team, and will play a pivotal role in enhancing Student Experience, through ensuring the technical operations of UAL's Virtual Learning Environment (Moodle), along with other Teaching and Learning products. Reporting to the DevOps Manager, you will ensure the team is delivering on day-to-day 3rd line support issues, managing server upgrades, and broader infrastructure/hosting requirements. Alongside this, you'll work closely with colleagues who focus on Development and Support to ensure effective resolution of issues and change delivery. More broadly, you will provide technical leadership, build and maintain key stakeholder relationships and lead on major incident response ensuring functionality of the University's VLE. You will also play a key role supporting our DevOps maturity focusing on maintaining and improving operational excellence. Core Skills Experience with web applications and the infrastructure/hosting requirements (for example Moodle, WordPress or other learning management systems or content management systems) Strong knowledge of customer centric service management processes Experience with web hosting platforms and security standards (eg Apache) Demonstrated ability to adapt to an ever-changing technical landscape. Extensive experience of working with a diverse range of stakeholders and external partners to deliver and develop digital products and services. Demonstrable experience of driving and championing new ways of working while bringing people along with you UAL is a world-class university, shaping the creative industries worldwide, and staff have access to a range of benefits, which recognise and reward the contributions they make, including: Competitive salary package of up to £68,406 per annum 34 days annual leave plus public holidays Generous, defined benefit pension scheme Family-friendly policies, including 26 weeks of full maternity or paternity pay Closing date: Monday 20th May Interviews will take place virtually on Wednesday 29/Thursday 30th May Hays Technology have been appointed by UAL to manage the recruitment of this role. For all enquiries, please contact Daniel Friedman at Hays Technology 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.
03/05/2024
Full time
University of the Arts London (UAL) is a world-leading creative university for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several institutes that further the university's mission. Under the leadership of our President and Vice-Chancellor, we are designing the University around social purpose; through the students and ideas we send out into the world, and the partnerships we build to achieve social, environmental, and economic progress. Digital & Technology at UAL is on an exciting journey, shifting from a technology-centric to a user-centric approach, investing in the people and processes enabled by digital and transforming the student and staff experience. The VLE Technical Operations Manager is a new role in the Teaching and Learning Product team, and will play a pivotal role in enhancing Student Experience, through ensuring the technical operations of UAL's Virtual Learning Environment (Moodle), along with other Teaching and Learning products. Reporting to the DevOps Manager, you will ensure the team is delivering on day-to-day 3rd line support issues, managing server upgrades, and broader infrastructure/hosting requirements. Alongside this, you'll work closely with colleagues who focus on Development and Support to ensure effective resolution of issues and change delivery. More broadly, you will provide technical leadership, build and maintain key stakeholder relationships and lead on major incident response ensuring functionality of the University's VLE. You will also play a key role supporting our DevOps maturity focusing on maintaining and improving operational excellence. Core Skills Experience with web applications and the infrastructure/hosting requirements (for example Moodle, WordPress or other learning management systems or content management systems) Strong knowledge of customer centric service management processes Experience with web hosting platforms and security standards (eg Apache) Demonstrated ability to adapt to an ever-changing technical landscape. Extensive experience of working with a diverse range of stakeholders and external partners to deliver and develop digital products and services. Demonstrable experience of driving and championing new ways of working while bringing people along with you UAL is a world-class university, shaping the creative industries worldwide, and staff have access to a range of benefits, which recognise and reward the contributions they make, including: Competitive salary package of up to £68,406 per annum 34 days annual leave plus public holidays Generous, defined benefit pension scheme Family-friendly policies, including 26 weeks of full maternity or paternity pay Closing date: Monday 20th May Interviews will take place virtually on Wednesday 29/Thursday 30th May Hays Technology have been appointed by UAL to manage the recruitment of this role. For all enquiries, please contact Daniel Friedman at Hays Technology Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Position Available : Validation Engineer Location : Greater Manchester (Hybrid) & Dynamic Working Hours Salary : Up to £50,000 + Company Bonus & Very Good Pension Package Experience needed : Experience of working in manufacturing engineering or process engineering within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
03/05/2024
Full time
Position Available : Validation Engineer Location : Greater Manchester (Hybrid) & Dynamic Working Hours Salary : Up to £50,000 + Company Bonus & Very Good Pension Package Experience needed : Experience of working in manufacturing engineering or process engineering within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
Position Available : Validation Engineer Location : Hertfordshire (Hybrid) & Dynamic Working Hours Salary : Up to £50,000 + Company Bonus & Very Good Pension Package Experience needed : Experience of working in manufacturing engineering or process engineering within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
03/05/2024
Full time
Position Available : Validation Engineer Location : Hertfordshire (Hybrid) & Dynamic Working Hours Salary : Up to £50,000 + Company Bonus & Very Good Pension Package Experience needed : Experience of working in manufacturing engineering or process engineering within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
Position Available : Manufacturing Engineer Location : Hertfordshire (Hybrid) & Dynamic Working Hours Salary : Up to £50,000 + Company Bonus & Very Good Pension Package Experience needed : We are looking for a manufacturing engineer or process engineer with experience of validating the quality of parts/products, who is able to transfer their skill set into validating our supply chain. The candidate would need to have experience of working within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
03/05/2024
Full time
Position Available : Manufacturing Engineer Location : Hertfordshire (Hybrid) & Dynamic Working Hours Salary : Up to £50,000 + Company Bonus & Very Good Pension Package Experience needed : We are looking for a manufacturing engineer or process engineer with experience of validating the quality of parts/products, who is able to transfer their skill set into validating our supply chain. The candidate would need to have experience of working within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
Position Available : Manufacturing Engineer Location : Bolton (1-2 days in office a week) Salary : Up to £52,000 + Company Bonus & Very Good Pension Package Experience needed : We are looking for a manufacturing engineer or process engineer with experience of validating the quality of parts/products, who is able to transfer their skill set into validating our supply chain. The candidate would need to have experience of working within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
03/05/2024
Full time
Position Available : Manufacturing Engineer Location : Bolton (1-2 days in office a week) Salary : Up to £52,000 + Company Bonus & Very Good Pension Package Experience needed : We are looking for a manufacturing engineer or process engineer with experience of validating the quality of parts/products, who is able to transfer their skill set into validating our supply chain. The candidate would need to have experience of working within a complex engineering or manufacturing environment such as defence, aerospace, automotive, robotics and similar. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We currently have a vacancy available as a Supply Chain Validation Engineer to join our team who are responsible for validating the external supply chain to ensure successful delivery of parts required to support development programmes in preparation for full rate production. The role will include the following: Handling a portfolio of suppliers on a day-to-day basis and handle the project Industrial Validation Plan Assess & validate the supply chain and suppliers' capability to meet our requirements Undertake Industrial Validation activities such as: Process FMEAs, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews in preparation for series production. Identify potential manufacturing & supply chain risks and put in place associated improvement and mitigation plans Handle & validate elements of manufacturing capability transfer from in house to supplier Collaborating and supporting a multi-functional team What we need from you: Skilled in manufacturing engineering with a solid understanding of manufacturing processes and techniques An appreciation for project delivery and project management Proficient in Industrial Validation tools such as: Process FMEAs, Measurement System Analysis, Process Mapping, Manufacturing Readiness Level (MRL) assessments, Production Readiness Reviews Excellent problem-solving skills to develop and implement root cause analysis and improvement plans within Supply Chain for manufacturing system deviations Capable of supporting suppliers/customers to ensure that they develop robust manufacturing systems and control plans Ideally, the applicant will have New Product Introduction (NPI) and/or manufacturing capability transfer experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
SAP APO Functional Expert (m/f/d) with Languages English Westhouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT life cycle management, SAP, engineering, commerce and specialist consultancy. For our client we are currently looking for a SAP APO Functional Expert (m/f/d) General information Reference: 168123 Location: Remote Start: 01.05.2024/ASAP Volume: Full time 100% Duration: 6 months Languages: English Your Skills - Bachelor's degree in Computer Science, Information Systems, or related field. - Extensive experience (5+ years) in systems integration, particularly with SAP systems (APO and ECC). - Proficiency in configuring and managing SAP BW within APO. - Strong understanding of Process Chains, Heuristics, Deployment, and Optimizer functionalities within SAP APO. - Experience with CIF integration establishment and fine-tuning. - Excellent communication and collaboration skills to work effectively with cross-functional teams. - Attention to detail and problem-solving abilities. - SAP certification (desired but not mandatory). Your Tasks - Coordinate the integration of the new APO instance with NSA systems, liaising with relevant teams to ensure alignment and smooth data exchange. - Utilize configuration and data object management skills to support the relevant area, whether it be Demand Planning (DP) or Supply Network Planning (SNP), according to the role. - Configure and adjust BW within APO, supporting the data transfer from APO BW to a separate BI instance. - Demonstrate expertise in Process Chains for both DP and SNP, and set up/maintain process-related jobs for specific selections. - Possess knowledge of SNP Heuristics, Deployment, and Optimizer functionalities. - Manage CIF integration establishment from the new ECC to the new APO instance, with an additional focus on fine-tuning existing CIF usage where applicable. - Understand DP-specific data and process structures, including Macros, Data Structure (PA/Pbook/Pview), Forecast Release, FC upload from info cubes, and data loads to PA. Interested? We look forward to receiving your application documents in electronic form.
03/05/2024
Project-based
SAP APO Functional Expert (m/f/d) with Languages English Westhouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT life cycle management, SAP, engineering, commerce and specialist consultancy. For our client we are currently looking for a SAP APO Functional Expert (m/f/d) General information Reference: 168123 Location: Remote Start: 01.05.2024/ASAP Volume: Full time 100% Duration: 6 months Languages: English Your Skills - Bachelor's degree in Computer Science, Information Systems, or related field. - Extensive experience (5+ years) in systems integration, particularly with SAP systems (APO and ECC). - Proficiency in configuring and managing SAP BW within APO. - Strong understanding of Process Chains, Heuristics, Deployment, and Optimizer functionalities within SAP APO. - Experience with CIF integration establishment and fine-tuning. - Excellent communication and collaboration skills to work effectively with cross-functional teams. - Attention to detail and problem-solving abilities. - SAP certification (desired but not mandatory). Your Tasks - Coordinate the integration of the new APO instance with NSA systems, liaising with relevant teams to ensure alignment and smooth data exchange. - Utilize configuration and data object management skills to support the relevant area, whether it be Demand Planning (DP) or Supply Network Planning (SNP), according to the role. - Configure and adjust BW within APO, supporting the data transfer from APO BW to a separate BI instance. - Demonstrate expertise in Process Chains for both DP and SNP, and set up/maintain process-related jobs for specific selections. - Possess knowledge of SNP Heuristics, Deployment, and Optimizer functionalities. - Manage CIF integration establishment from the new ECC to the new APO instance, with an additional focus on fine-tuning existing CIF usage where applicable. - Understand DP-specific data and process structures, including Macros, Data Structure (PA/Pbook/Pview), Forecast Release, FC upload from info cubes, and data loads to PA. Interested? We look forward to receiving your application documents in electronic form.
Position Available : RF Systems Engineer Location : Bristol - Dynamic Working Hours Salary : Up to £63,000 + Paid Overtime, Company Bonus & Very Good Pension Package Experience needed : Experience in RF, DSP, Antenna & Modelling and experience being involved with the full product life cycle from research and concept development to system design, integration, verification and validation. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We are currently looking for a Supplier Development Manager to work in our team who primarily focus on navigation and sensor technologies. In this role you will support the team in: Designing and developing RF systems Participating in, or leading design reviews across the product life cycle. Coordinating the transition of development hardware into production, including environmental testing, qualification testing and design certification. System level functionality proving, Software/Firmware integration and proving. What we need from you: RF/Microwave systems knowledge Understanding of waveform design and implementation Requirements management and systems design Technical leadership of junior engineers System level RF modelling Antenna design and/or EM modelling Familiarity of Real Time Digital Signal Processing for high data bandwidth systems Systems modelling and Autocode generation experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
03/05/2024
Full time
Position Available : RF Systems Engineer Location : Bristol - Dynamic Working Hours Salary : Up to £63,000 + Paid Overtime, Company Bonus & Very Good Pension Package Experience needed : Experience in RF, DSP, Antenna & Modelling and experience being involved with the full product life cycle from research and concept development to system design, integration, verification and validation. About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We are currently looking for a Supplier Development Manager to work in our team who primarily focus on navigation and sensor technologies. In this role you will support the team in: Designing and developing RF systems Participating in, or leading design reviews across the product life cycle. Coordinating the transition of development hardware into production, including environmental testing, qualification testing and design certification. System level functionality proving, Software/Firmware integration and proving. What we need from you: RF/Microwave systems knowledge Understanding of waveform design and implementation Requirements management and systems design Technical leadership of junior engineers System level RF modelling Antenna design and/or EM modelling Familiarity of Real Time Digital Signal Processing for high data bandwidth systems Systems modelling and Autocode generation experience If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
Job Title: C++ Developer (Computer Vision) - Media Entertainment Location: Worcestershire, UK Salary: £40,000 - 50,000 per annum Company Overview: Join a dynamic team at the forefront of media entertainment innovation. We are a leading company in Worcestershire, leveraging cutting-edge computer vision technology to redefine the entertainment experience. Our team is passionate about pushing boundaries, delivering immersive experiences, and shaping the future of media entertainment. Position Overview: We are seeking a talented and enthusiastic C++ Developer with a key responsibilities specialisation in computer vision to join our team. As a C++ Developer, you will play a pivotal role in designing, developing, and implementing computer vision software solutions that enhance our media entertainment products. You will collaborate closely with cross-functional teams to bring innovative ideas to life and ensure the seamless integration of computer vision technologies into their products. Key Responsibilities Design, develop, and maintain C++ applications and libraries for computer vision-based features within media entertainment products. Implement computer vision algorithms and techniques to analyse, interpret, and enhance visual content. Optimise performance and memory usage of computer vision software to ensure efficient Real Time processing. Collaborate with software engineers, designers, and product managers to understand requirements and translate them into technical solutions. Conduct code reviews, identify areas for improvement, and adhere to coding standards to ensure high-quality software delivery. Stay up-to-date with the latest advancements in computer vision technology and contribute innovative ideas to enhance our products. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven experience developing software applications in C++ with a strong understanding of object-oriented programming principles. Solid understanding of computer vision fundamentals, including image processing, feature extraction, object detection, and tracking. Experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch. Proficiency in software development tools such as Git, CMake, and continuous integration systems. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Passion for media entertainment and a desire to innovate and push the boundaries of technology within the industry. Preferred Qualifications: Experience developing Real Time computer vision applications for media entertainment or related industries. Knowledge of graphics programming and GPU computing technologies. Familiarity with agile development methodologies such as Scrum or Kanban. Experience working with cloud computing platforms such as AWS or Azure. Benefits Competitive salary and benefits package. Spa Membership Tax free bonus Opportunity to work on cutting-edge technology in a fast-paced, collaborative environment. Career growth and development opportunities. Flexible work arrangements and a supportive work-life balance culture. Access to training and resources to enhance skills and knowledge. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
03/05/2024
Full time
Job Title: C++ Developer (Computer Vision) - Media Entertainment Location: Worcestershire, UK Salary: £40,000 - 50,000 per annum Company Overview: Join a dynamic team at the forefront of media entertainment innovation. We are a leading company in Worcestershire, leveraging cutting-edge computer vision technology to redefine the entertainment experience. Our team is passionate about pushing boundaries, delivering immersive experiences, and shaping the future of media entertainment. Position Overview: We are seeking a talented and enthusiastic C++ Developer with a key responsibilities specialisation in computer vision to join our team. As a C++ Developer, you will play a pivotal role in designing, developing, and implementing computer vision software solutions that enhance our media entertainment products. You will collaborate closely with cross-functional teams to bring innovative ideas to life and ensure the seamless integration of computer vision technologies into their products. Key Responsibilities Design, develop, and maintain C++ applications and libraries for computer vision-based features within media entertainment products. Implement computer vision algorithms and techniques to analyse, interpret, and enhance visual content. Optimise performance and memory usage of computer vision software to ensure efficient Real Time processing. Collaborate with software engineers, designers, and product managers to understand requirements and translate them into technical solutions. Conduct code reviews, identify areas for improvement, and adhere to coding standards to ensure high-quality software delivery. Stay up-to-date with the latest advancements in computer vision technology and contribute innovative ideas to enhance our products. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven experience developing software applications in C++ with a strong understanding of object-oriented programming principles. Solid understanding of computer vision fundamentals, including image processing, feature extraction, object detection, and tracking. Experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, or PyTorch. Proficiency in software development tools such as Git, CMake, and continuous integration systems. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Passion for media entertainment and a desire to innovate and push the boundaries of technology within the industry. Preferred Qualifications: Experience developing Real Time computer vision applications for media entertainment or related industries. Knowledge of graphics programming and GPU computing technologies. Familiarity with agile development methodologies such as Scrum or Kanban. Experience working with cloud computing platforms such as AWS or Azure. Benefits Competitive salary and benefits package. Spa Membership Tax free bonus Opportunity to work on cutting-edge technology in a fast-paced, collaborative environment. Career growth and development opportunities. Flexible work arrangements and a supportive work-life balance culture. Access to training and resources to enhance skills and knowledge. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Role : Full Stack Developer Location : UK (occasional trips to London) Salary : up to £75,000 (DOE) Having just had an injection of £15m in funding a Marketplace SaaS business is looking to hire a Full Stack Developer to join their journey of growth. Working cross-functionally in a closeknit, innovational team you will be working across their B2B2C platform is covering everything from complex business systems, payment gateways to API design and integration. The platform is engineered using Laravel, Vue.js, Livewire & Tailwind. Even though this position is at a mid-senior level, the progression and potential to level up into a leading figuring across the business is in your hands. The company welcomes anyone who is ready to roll up their sleeves, embed themselves within the platform and culture, and face any challenge faced. Experience 4 years'+ Laravel 4 years'+ Modern JavaScript framework experience (ideally Vue.js, Alpine.js or Inertia.js) LAMP OR TALL Stack - beneficial Ideally worked with marketplace platforms or SaaS environments Based in the UK Please note that we cannot accept applications from those outside of the UK or requiring visa sponsorship. Do send across your updated CV and look forward to speaking.
03/05/2024
Full time
Role : Full Stack Developer Location : UK (occasional trips to London) Salary : up to £75,000 (DOE) Having just had an injection of £15m in funding a Marketplace SaaS business is looking to hire a Full Stack Developer to join their journey of growth. Working cross-functionally in a closeknit, innovational team you will be working across their B2B2C platform is covering everything from complex business systems, payment gateways to API design and integration. The platform is engineered using Laravel, Vue.js, Livewire & Tailwind. Even though this position is at a mid-senior level, the progression and potential to level up into a leading figuring across the business is in your hands. The company welcomes anyone who is ready to roll up their sleeves, embed themselves within the platform and culture, and face any challenge faced. Experience 4 years'+ Laravel 4 years'+ Modern JavaScript framework experience (ideally Vue.js, Alpine.js or Inertia.js) LAMP OR TALL Stack - beneficial Ideally worked with marketplace platforms or SaaS environments Based in the UK Please note that we cannot accept applications from those outside of the UK or requiring visa sponsorship. Do send across your updated CV and look forward to speaking.
Position: Senior Audiovisual (AV) Systems Analyst Role Overview: The Senior AV Systems Analyst is a pivotal member of the Information Technology Services team, dedicated to the seamless operation and progressive enhancement of the organisation's audiovisual infrastructure. This role is instrumental in fostering an advanced educational environment through the maintenance and innovation of AV systems utilised in various university settings, including classrooms, lecture halls, conference rooms, and communal study areas. Key Responsibilities: Technical Leadership: Serve as the lead technical authority for AV systems, guiding the resolution of complex AV-related incidents and managing service requests with efficiency and expertise. Strategic Development: Collaborate with the AV Team Leader to strategise and implement advancements in AV services, ensuring alignment with the companies vision for cutting-edge learning and meeting spaces. Stakeholder Engagement: Maintain robust communication channels with internal teams and end-users, delivering clear, timely, and precise information to facilitate optimal AV usage. System Management: Oversee the monitoring, support, and maintenance of AV systems, guaranteeing high-performance standards and minimal downtime. Project Coordination: Participate in the deployment of innovative AV technologies, such as AV over IP solutions, interactive displays, and remote management tools, contributing to the university's multimillion-pound investment in AV excellence. Essential Qualifications: A bachelor's degree in a relevant field or equivalent professional experience demonstrating comprehensive AV technical proficiency. A proven track record in AV systems analysis, with substantial hands-on experience in managing and optimising a diverse range of AV equipment. Desired Skills: In-depth knowledge of current and emerging AV technologies. Strong problem-solving abilities and a customer-focused approach. Excellent organisational skills and attention to detail. The ability to work collaboratively within cross-functional teams. What We Offer: A dynamic and supportive work environment committed to innovation and excellence. Opportunities for professional development and growth within a leading educational institution. Access to state-of-the-art facilities and resources. If you feel that you are a suitable candidate for this role or are keen to hear more. Please email a copy of your CV 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.
03/05/2024
Full time
Position: Senior Audiovisual (AV) Systems Analyst Role Overview: The Senior AV Systems Analyst is a pivotal member of the Information Technology Services team, dedicated to the seamless operation and progressive enhancement of the organisation's audiovisual infrastructure. This role is instrumental in fostering an advanced educational environment through the maintenance and innovation of AV systems utilised in various university settings, including classrooms, lecture halls, conference rooms, and communal study areas. Key Responsibilities: Technical Leadership: Serve as the lead technical authority for AV systems, guiding the resolution of complex AV-related incidents and managing service requests with efficiency and expertise. Strategic Development: Collaborate with the AV Team Leader to strategise and implement advancements in AV services, ensuring alignment with the companies vision for cutting-edge learning and meeting spaces. Stakeholder Engagement: Maintain robust communication channels with internal teams and end-users, delivering clear, timely, and precise information to facilitate optimal AV usage. System Management: Oversee the monitoring, support, and maintenance of AV systems, guaranteeing high-performance standards and minimal downtime. Project Coordination: Participate in the deployment of innovative AV technologies, such as AV over IP solutions, interactive displays, and remote management tools, contributing to the university's multimillion-pound investment in AV excellence. Essential Qualifications: A bachelor's degree in a relevant field or equivalent professional experience demonstrating comprehensive AV technical proficiency. A proven track record in AV systems analysis, with substantial hands-on experience in managing and optimising a diverse range of AV equipment. Desired Skills: In-depth knowledge of current and emerging AV technologies. Strong problem-solving abilities and a customer-focused approach. Excellent organisational skills and attention to detail. The ability to work collaboratively within cross-functional teams. What We Offer: A dynamic and supportive work environment committed to innovation and excellence. Opportunities for professional development and growth within a leading educational institution. Access to state-of-the-art facilities and resources. If you feel that you are a suitable candidate for this role or are keen to hear more. Please email a copy of your CV 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.
Senior Systems Engineer/Junior Technical Architect - Cloud/IAM Hertfordshire - 3 days in the office £65-68k pa + good benefits package Working as part of a global IT team this role is responsible for ensuring that internal and external cloud, web and mobile applications meet IT technical and business requirements. Main responsibilities : Leading the liaison with 3rd party solution providers for new projects or changes to cloud, web and mobile applications Ensure designs adhere to good data practices, compliance, regulatory standards and security frameworks Identifying and capturing non-functional requirements Shaping and evolving technical standards and principles relating to cloud, web and mobile applications Required skills and experience : Cloud (including AWS), web and mobile application technologies Infrastructure and Network understanding, how systems and technology integrate Knowledge of single sign-on, identity and access management (IAM), plus application role-based access Reviewing and advising on third parties' technical designs This is an excellent opportunity for a Senior Systems Engineer/Junior Architect to move in to a more senior position. Please send a CV detailing the required skills and experience for consideration. Senior Systems Engineer/Junior Technical Architect Hertfordshire - 3 days in the office £65-68k pa + good benefits package
03/05/2024
Full time
Senior Systems Engineer/Junior Technical Architect - Cloud/IAM Hertfordshire - 3 days in the office £65-68k pa + good benefits package Working as part of a global IT team this role is responsible for ensuring that internal and external cloud, web and mobile applications meet IT technical and business requirements. Main responsibilities : Leading the liaison with 3rd party solution providers for new projects or changes to cloud, web and mobile applications Ensure designs adhere to good data practices, compliance, regulatory standards and security frameworks Identifying and capturing non-functional requirements Shaping and evolving technical standards and principles relating to cloud, web and mobile applications Required skills and experience : Cloud (including AWS), web and mobile application technologies Infrastructure and Network understanding, how systems and technology integrate Knowledge of single sign-on, identity and access management (IAM), plus application role-based access Reviewing and advising on third parties' technical designs This is an excellent opportunity for a Senior Systems Engineer/Junior Architect to move in to a more senior position. Please send a CV detailing the required skills and experience for consideration. Senior Systems Engineer/Junior Technical Architect Hertfordshire - 3 days in the office £65-68k pa + good benefits package
The Role As a ServiceNow Technical Lead , you will be responsible for leading at least a couple of Implementation projects in the ITSM area and one complete Implementation life cycle for ServiceNow. For this role, you will leverage your expertise in ServiceNow deployments, ITSM migrations, consolidations, upgrades, integration with other third-party tools, Orchestration, operational activities. Key Responsibilities: Understand Architecture Solution for the implementation or Maintenance of ServiceNow platform. Work with Architect and customers for the technical requirements, document them, play back and baseline. Develop a design aligned with the Architecture (if applicable) and technical requirements. Review requirements for accurate estimation. Review and do proactive analysis and resolve application issues as needed. Lead a team of ServiceNow developers, web designers, integration SMEs and QA analysts to build and deploy the applications meeting the customer requirements. Mentor and share technical knowledge/guidance to team. Perform Sprint activities (if agile) with the customer and the team. Do sprint planning and assign sprint activities to the team. Develop User stories from the requirements. Estimate effort, Work with the product sponsor to prioritise the user stores. Advise Best Practices and provide technical solutions and/or workaround for the issues/requirements. Track and share the status of sprint/user stories with the Project Manager. Identify and manage risks and challenges. Ensure the quality deployment of the product as per the design. Ensure the security, resilience of the components as per the design. Evaluate and identify the opportunities for continuous improvement in Delivery and/or in Design. Handle customer meetings and provide weekly/monthly reports for customer as well as TCS management. Participate and provide feedback during planning meetings (ie, pre-iteration, and retrospectives. Your Profile Key Skills/Knowledge/Experience: Experience as a Technical Consultant. Experience in ITIL Process Definition, Integration Solutions, understanding Architecture solutions. Ability to understand customer business requirements and convert to functional requirements. Experience in leading at least a couple of Implementation projects in ITSM area and one complete Implementation life cycle for ServiceNow. Expertise ServiceNow deployments, ITSM migrations, consolidations, upgrades, integration with other third-party tools, Orchestration, operational activities, Project Management expertise. Very good ITIL process knowledge and ability to evaluate and bring out the correlations and impacts with respect to customer requirements and ITIL/industry standards. Certified with ServiceNow Systems Administrator, ServiceNow Implementation Specialist and ITIL V3 foundation. Good knowledge in Agile/Scrum methodology. Good communication in orchestrating customer requirements/needs, solutions, customer responsibilities, risks, challenges, and impacts. Excellent team management skills to manage the project team and members. Good to have: Experience in ServiceNow custom application design and development. Evaluate the tool stability and performance and provide recommendations. Knowledge on new ServiceNow modules ( HRSD, SecOps, GRC, CSM, ITBM, Etc ). Preferred to have ServiceNow Implementation Specialist certification. Ability to manage conflicts that may arise with customers and/or TCS internal stakeholders.
03/05/2024
Full time
The Role As a ServiceNow Technical Lead , you will be responsible for leading at least a couple of Implementation projects in the ITSM area and one complete Implementation life cycle for ServiceNow. For this role, you will leverage your expertise in ServiceNow deployments, ITSM migrations, consolidations, upgrades, integration with other third-party tools, Orchestration, operational activities. Key Responsibilities: Understand Architecture Solution for the implementation or Maintenance of ServiceNow platform. Work with Architect and customers for the technical requirements, document them, play back and baseline. Develop a design aligned with the Architecture (if applicable) and technical requirements. Review requirements for accurate estimation. Review and do proactive analysis and resolve application issues as needed. Lead a team of ServiceNow developers, web designers, integration SMEs and QA analysts to build and deploy the applications meeting the customer requirements. Mentor and share technical knowledge/guidance to team. Perform Sprint activities (if agile) with the customer and the team. Do sprint planning and assign sprint activities to the team. Develop User stories from the requirements. Estimate effort, Work with the product sponsor to prioritise the user stores. Advise Best Practices and provide technical solutions and/or workaround for the issues/requirements. Track and share the status of sprint/user stories with the Project Manager. Identify and manage risks and challenges. Ensure the quality deployment of the product as per the design. Ensure the security, resilience of the components as per the design. Evaluate and identify the opportunities for continuous improvement in Delivery and/or in Design. Handle customer meetings and provide weekly/monthly reports for customer as well as TCS management. Participate and provide feedback during planning meetings (ie, pre-iteration, and retrospectives. Your Profile Key Skills/Knowledge/Experience: Experience as a Technical Consultant. Experience in ITIL Process Definition, Integration Solutions, understanding Architecture solutions. Ability to understand customer business requirements and convert to functional requirements. Experience in leading at least a couple of Implementation projects in ITSM area and one complete Implementation life cycle for ServiceNow. Expertise ServiceNow deployments, ITSM migrations, consolidations, upgrades, integration with other third-party tools, Orchestration, operational activities, Project Management expertise. Very good ITIL process knowledge and ability to evaluate and bring out the correlations and impacts with respect to customer requirements and ITIL/industry standards. Certified with ServiceNow Systems Administrator, ServiceNow Implementation Specialist and ITIL V3 foundation. Good knowledge in Agile/Scrum methodology. Good communication in orchestrating customer requirements/needs, solutions, customer responsibilities, risks, challenges, and impacts. Excellent team management skills to manage the project team and members. Good to have: Experience in ServiceNow custom application design and development. Evaluate the tool stability and performance and provide recommendations. Knowledge on new ServiceNow modules ( HRSD, SecOps, GRC, CSM, ITBM, Etc ). Preferred to have ServiceNow Implementation Specialist certification. Ability to manage conflicts that may arise with customers and/or TCS internal stakeholders.
We are looking for OMP Supply Chain Functional Consultant Project Introduction Supply Chain Business Technology Product Lines are responsible for the technological direction across business segments and serve as a critical point of contact for the business. As a Functional Consultant, you will work with the Pharma Plan Excellence and Operational Business Teams to identify, analyse and prioritize solutions for your product line and own the consistent implementation of these solutions across the business You will need to continuously improve our processes and solutions ensuring that value is realized by the business through the JJT solution and capabilities You will have a view of external Supply Chain IT capabilities in the market and how they can be applied to drive business value for the company. In this role, you will be part of a strong team for Pharma Foundational Planning Systems and Solutions Product Line and You will be responsible for developing and articulating our products and roadmaps and support the implementation of our large program portfolio . You will collaborate closely with our business partners to continually improve our end to end planning processes Job description: Support the implementation of product roadmaps and priorities for Innovative Medicine (IM) Planning products Globally including platforms and applications. Understand the business's needs and priorities from the product, support management of our intake and prioritization process. Understands development estimates and how levels of effort impact the priority of requirements. Where required with the Technical Product Owner (TPO) and Global Process Manager (GPM) support capacity and release planning including aligning to any project or other High-Performance Teams (HPT) team timelines. Responsible for ensuring Enhancements are aligned to our product vision work within the Product/HPT with implementation partners and the business to ensure these are efficiently developed aligned to the Job to be done following our Systems Development Life Cycle (SDLC) whilst ensuring high quality standards. Negotiate with the business to see what items (story points) are built and which are backlogged based on capacity. Become expert in eliciting and documenting user requirements/stories and acceptance criteria ensuring this address the problem statement for any new changes. Responsible for project oversight of product development initiatives. Conduct effective impact assessments for any changes and ensure test scope address any identified risk, that this is reflected in the design of test scripts. Support investigation and resolution of escalated incident and problem tickets including Root Cause Analysis (RCA) Qualifications: 8 years of technology experience, with some business supply chain experience ideally in a planning environment (OMP systems) within a manufacturing company, preferably in the healthcare industry. Functional and technical experience within IT in E2E Supply chain processes and applications - eg, Demand Planning, Supply Network Planning, Advanced planning capabilities Ideally OMP Experience of working in projects deploying planning systems or complex data management processes Some level of SAP S4/ECC org design and data definitions end user or project work ideally Material Management (MM) certified. Experience working with/managing large, culturally diverse, global teams. Experience driving business value through information technology. Ability to successfully lead multiple critical priorities/issues. Experience in working with multiple partners within a Matrix organization. Ability to coach/grow peers and team members. Must-Have SupplyChain processes, Pharma & Planning experience (preferably OMP) Nice2Have Life Sciences and/or Pharma experience. Work-mode 100% remote but able to also work US-EST time-zone Start May 2024 Call for further details
03/05/2024
Project-based
We are looking for OMP Supply Chain Functional Consultant Project Introduction Supply Chain Business Technology Product Lines are responsible for the technological direction across business segments and serve as a critical point of contact for the business. As a Functional Consultant, you will work with the Pharma Plan Excellence and Operational Business Teams to identify, analyse and prioritize solutions for your product line and own the consistent implementation of these solutions across the business You will need to continuously improve our processes and solutions ensuring that value is realized by the business through the JJT solution and capabilities You will have a view of external Supply Chain IT capabilities in the market and how they can be applied to drive business value for the company. In this role, you will be part of a strong team for Pharma Foundational Planning Systems and Solutions Product Line and You will be responsible for developing and articulating our products and roadmaps and support the implementation of our large program portfolio . You will collaborate closely with our business partners to continually improve our end to end planning processes Job description: Support the implementation of product roadmaps and priorities for Innovative Medicine (IM) Planning products Globally including platforms and applications. Understand the business's needs and priorities from the product, support management of our intake and prioritization process. Understands development estimates and how levels of effort impact the priority of requirements. Where required with the Technical Product Owner (TPO) and Global Process Manager (GPM) support capacity and release planning including aligning to any project or other High-Performance Teams (HPT) team timelines. Responsible for ensuring Enhancements are aligned to our product vision work within the Product/HPT with implementation partners and the business to ensure these are efficiently developed aligned to the Job to be done following our Systems Development Life Cycle (SDLC) whilst ensuring high quality standards. Negotiate with the business to see what items (story points) are built and which are backlogged based on capacity. Become expert in eliciting and documenting user requirements/stories and acceptance criteria ensuring this address the problem statement for any new changes. Responsible for project oversight of product development initiatives. Conduct effective impact assessments for any changes and ensure test scope address any identified risk, that this is reflected in the design of test scripts. Support investigation and resolution of escalated incident and problem tickets including Root Cause Analysis (RCA) Qualifications: 8 years of technology experience, with some business supply chain experience ideally in a planning environment (OMP systems) within a manufacturing company, preferably in the healthcare industry. Functional and technical experience within IT in E2E Supply chain processes and applications - eg, Demand Planning, Supply Network Planning, Advanced planning capabilities Ideally OMP Experience of working in projects deploying planning systems or complex data management processes Some level of SAP S4/ECC org design and data definitions end user or project work ideally Material Management (MM) certified. Experience working with/managing large, culturally diverse, global teams. Experience driving business value through information technology. Ability to successfully lead multiple critical priorities/issues. Experience in working with multiple partners within a Matrix organization. Ability to coach/grow peers and team members. Must-Have SupplyChain processes, Pharma & Planning experience (preferably OMP) Nice2Have Life Sciences and/or Pharma experience. Work-mode 100% remote but able to also work US-EST time-zone Start May 2024 Call for further details
Senior Software Engineer - (RL7309) Job Title - Senior Software Engineer Reference - RL7309 Salary - Competitive Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days' annual leave, Fitness Classes, & Progression Location - Paignton The Client - Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. They offer a collaborative and friendly environment, and benefit from excellent retention. The Role - You will be a member of the Positioning Technology (PT) Software Engineering team focusing on innovative design, development and support of software applications for both current and next generation Positioning, Navigating and Timing Simulation test solutions. The role will report directly to one of the Software Team Managers and will have a close working relationship with peer level Project Management Office (PMO), Product Marketing, Engineering and Services team members. Key Responsibilities: Play a technical role in assigned Software projects as a member of the Software team. Contribute to the software development life cycle from its design to implementation and validation. Work as part of the software and/or multi-disciplined Engineering teams to deliver projects and programs. Play a role in developing and defining new product concepts and ideas for both Product and Services. Connect with other functional areas within the organization to drive technical solutions Education: Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, or a similar discipline preferred Job Requirements: Longstanding, demonstrable experience of working within a structured engineering environment that includes Requirements Analysis/Definition, Design/Implementation, Defect Tracking, and Testing Good knowledge of modern C++. Experience using high level/Scripting languages eg Python, Perl, bash Good understanding of Linux based operating systems architecture and how to optimize applications for performance Experience developing multi-core/multi-threaded applications Can effectively apply client's ISO accredited Product Realisation Process (PRP) Desired: Digital Signal Processing experience Programming for Real Time operating systems Knowledge of GNSS signals Knowledge or experience in Visual Studio® product Good knowledge of Object-Oriented software principles Knowledge of configuration management tools and software version control Knowledge of CI best practice Ability to contribute to and eventually lead multi-disciplinary projects through the Project Realisation Process Personal Attributes: Concise, clear and professional communication Communicates effectively, listens sensitively, adapts communication to audience and fosters effective communication with others. Initiative - steps up and takes action without being asked. Looks for opportunities to make a difference. Resourcefulness - adapts to new/difficult situations and devises ways to overcome obstacles. Decisive, determined and persistent - demonstrating both individual and collective ownership. Leading by example and results oriented - focus is on getting to the desired outcome. Additional demonstrable leadership traits. Consistency of approach. Good organizational skills Creativity - original/innovative thinker, ability to go beyond traditional approaches. To apply for this Senior Software Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
03/05/2024
Full time
Senior Software Engineer - (RL7309) Job Title - Senior Software Engineer Reference - RL7309 Salary - Competitive Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days' annual leave, Fitness Classes, & Progression Location - Paignton The Client - Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. They offer a collaborative and friendly environment, and benefit from excellent retention. The Role - You will be a member of the Positioning Technology (PT) Software Engineering team focusing on innovative design, development and support of software applications for both current and next generation Positioning, Navigating and Timing Simulation test solutions. The role will report directly to one of the Software Team Managers and will have a close working relationship with peer level Project Management Office (PMO), Product Marketing, Engineering and Services team members. Key Responsibilities: Play a technical role in assigned Software projects as a member of the Software team. Contribute to the software development life cycle from its design to implementation and validation. Work as part of the software and/or multi-disciplined Engineering teams to deliver projects and programs. Play a role in developing and defining new product concepts and ideas for both Product and Services. Connect with other functional areas within the organization to drive technical solutions Education: Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, or a similar discipline preferred Job Requirements: Longstanding, demonstrable experience of working within a structured engineering environment that includes Requirements Analysis/Definition, Design/Implementation, Defect Tracking, and Testing Good knowledge of modern C++. Experience using high level/Scripting languages eg Python, Perl, bash Good understanding of Linux based operating systems architecture and how to optimize applications for performance Experience developing multi-core/multi-threaded applications Can effectively apply client's ISO accredited Product Realisation Process (PRP) Desired: Digital Signal Processing experience Programming for Real Time operating systems Knowledge of GNSS signals Knowledge or experience in Visual Studio® product Good knowledge of Object-Oriented software principles Knowledge of configuration management tools and software version control Knowledge of CI best practice Ability to contribute to and eventually lead multi-disciplinary projects through the Project Realisation Process Personal Attributes: Concise, clear and professional communication Communicates effectively, listens sensitively, adapts communication to audience and fosters effective communication with others. Initiative - steps up and takes action without being asked. Looks for opportunities to make a difference. Resourcefulness - adapts to new/difficult situations and devises ways to overcome obstacles. Decisive, determined and persistent - demonstrating both individual and collective ownership. Leading by example and results oriented - focus is on getting to the desired outcome. Additional demonstrable leadership traits. Consistency of approach. Good organizational skills Creativity - original/innovative thinker, ability to go beyond traditional approaches. To apply for this Senior Software Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.