Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Job Title: Head of Production (Water Industry) Location: Green Lane, Walsall or Fulbourn Road, Cambridge (Hybrid - 3dpw in office location) Team : 3 direct reports, total team size 64 employees. Package: To 75k DOE + Company Car/Allowance + Bonus to 10% Travel: Frequent travel to Production sites including Cambridge and Hampton Loade Step into a pivotal role as our Head of Production and lead our passionate production teams to deliver pristine drinking water to communities across South Staffs and Cambridge. Drive transformative strategies that address industry challenges while championing our unwavering commitment to exceptional quality, safety, and environmental stewardship. This influential senior leadership position empowers you to oversee the day-to-day operations of water production and storage, ensuring a reliable and continuous water supply for all. Join us in making a meaningful impact-providing clean, safe water to enhance lives and sustain our communities. About us: At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. About the role: • Champion Human Organisation Performance (HOP) principles to drive health and safety performance improvements to mitigate critical risk / hazards. • Deliver water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Deliver annual unplanned interruption outcome delivery incentive (ODI). • Deliver maintenance, compliance, and team activities within annual operating expenditure budgets. • Continuous employee engagement, staff retention and team development. The key deliverables: • Effective leadership of Production teams across both operating regions • Management and implementation of industry leading Health & Safety standards associated with all operational staff and sites. • Providing direction, strategies and tracking operational performance to ensure compliance with Defra, EA, HSE, DWI standards. • Liaising with external bodies, auditors, review bodies and regulators • Evaluation of key business processes to ensure internal controls and risk measures are effective. • Ensuring sufficient competent staff are in place and that training is evaluated and maintained at the required standard. • Effectively managing budgets for operational and capital spend • Developing strategies and tactical plans for the risk-based optimisation of maintenance and reactive interventions • Developing strategies for the management of interventions to balance the operational risks of failure. • Overall accountability for Competent Operator Scheme compliance and assurance. • Responsible for water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Being part of emergency/incident standby rota. What you'll need: • Experience of Production leadership roles in a Water/Energy or similar environment • The ability to think strategically, make decisions, and set priorities. • Ability to lead, develop and motivate distributed teams in an agile environment. • Demonstrate well-honed emotional intelligence and communication skills, able to influence and build effective relationships across a range of internal and external stakeholders and act as an ambassador for the business. • Experience of managing operating and capital budgets is essential. • Demonstrate the ability to engage with internal and external stakeholders at a senior level. • Educated to degree level or equivalent experience • NEBOSH Diploma or NVQ Level 5 Diploma in H&S desired. • Hold or working towards Chartership of an Institution desired • Must hold a full UK Driving Licence. What you'll get in return: • Basic salary to £75k DOE • Bonus up to 10% • Car/Car Allowance • Matched pension contributions • Employee assistance and wellbeing programme • Private Health • Retail discounts • On-site gym • On-site nursery
17/05/2024
Full time
Job Title: Head of Production (Water Industry) Location: Green Lane, Walsall or Fulbourn Road, Cambridge (Hybrid - 3dpw in office location) Team : 3 direct reports, total team size 64 employees. Package: To 75k DOE + Company Car/Allowance + Bonus to 10% Travel: Frequent travel to Production sites including Cambridge and Hampton Loade Step into a pivotal role as our Head of Production and lead our passionate production teams to deliver pristine drinking water to communities across South Staffs and Cambridge. Drive transformative strategies that address industry challenges while championing our unwavering commitment to exceptional quality, safety, and environmental stewardship. This influential senior leadership position empowers you to oversee the day-to-day operations of water production and storage, ensuring a reliable and continuous water supply for all. Join us in making a meaningful impact-providing clean, safe water to enhance lives and sustain our communities. About us: At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. About the role: • Champion Human Organisation Performance (HOP) principles to drive health and safety performance improvements to mitigate critical risk / hazards. • Deliver water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Deliver annual unplanned interruption outcome delivery incentive (ODI). • Deliver maintenance, compliance, and team activities within annual operating expenditure budgets. • Continuous employee engagement, staff retention and team development. The key deliverables: • Effective leadership of Production teams across both operating regions • Management and implementation of industry leading Health & Safety standards associated with all operational staff and sites. • Providing direction, strategies and tracking operational performance to ensure compliance with Defra, EA, HSE, DWI standards. • Liaising with external bodies, auditors, review bodies and regulators • Evaluation of key business processes to ensure internal controls and risk measures are effective. • Ensuring sufficient competent staff are in place and that training is evaluated and maintained at the required standard. • Effectively managing budgets for operational and capital spend • Developing strategies and tactical plans for the risk-based optimisation of maintenance and reactive interventions • Developing strategies for the management of interventions to balance the operational risks of failure. • Overall accountability for Competent Operator Scheme compliance and assurance. • Responsible for water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Being part of emergency/incident standby rota. What you'll need: • Experience of Production leadership roles in a Water/Energy or similar environment • The ability to think strategically, make decisions, and set priorities. • Ability to lead, develop and motivate distributed teams in an agile environment. • Demonstrate well-honed emotional intelligence and communication skills, able to influence and build effective relationships across a range of internal and external stakeholders and act as an ambassador for the business. • Experience of managing operating and capital budgets is essential. • Demonstrate the ability to engage with internal and external stakeholders at a senior level. • Educated to degree level or equivalent experience • NEBOSH Diploma or NVQ Level 5 Diploma in H&S desired. • Hold or working towards Chartership of an Institution desired • Must hold a full UK Driving Licence. What you'll get in return: • Basic salary to £75k DOE • Bonus up to 10% • Car/Car Allowance • Matched pension contributions • Employee assistance and wellbeing programme • Private Health • Retail discounts • On-site gym • On-site nursery
Configuration Engineer £43ph (Umbrella, Inside IR35) Lincoln (Regular home working available) Initial 6 months An experienced Configuration Engineer is required for our Lincoln site, preferably within the Defence and Aerospace Sector; you will be required to discharge the 5 key Configuration activities into IPT's across all life cycle phases of a Programme. Within this role, you shall give clear direction into the IPT on C&DM process and tools be that at System Requirements, System level, Software, or hardware. In doing so, you must be prepared to 'challenge the norm' and support the IPT's in process tailoring to fit the life cycle phase and/or context of a Programme As a Configuration Engineer, you are expected to: Drive a pro-active approach to C&DM into IPT's Support the Head of Configuration and Data Management in encouraging new ideas and innovative solutions into the IPT and the Line of Business. (LoB) As an individual, you are expected: To resolve C&DM issues within an IPT by making proposals and driving through solutions To build and manage Customer and Supplier relationships To develop and promote knowledge and use of PLM Key Responsibility Areas Configuration Management Planning including generation and review of CM Plan Configuration Identification Change Control - Must have had experience in operating Change Control Boards including Configuration status input to the Board Configuration Status Accounting with emphasis on the generation of Configuration Baselines Verification and Audit (led FCA/PCA) Working hand-in-hand with our engineering delivery teams to ensure the Project dataset is maintained and configuration controlled Skills, Qualifications & Knowledge Required A good understanding of Configuration Management in accordance with DEF STAN 05-57. Excellent practical understanding of the five key elements of Configuration Management: Planning, Identification, Change Management, Status Accounting and Audit/Verification Document management experience including delivery and receipt within the bounds of ITAR and Export controls Software Configuration Management at the point of release into the Product structure Provided C&DM input to Design Reviews and Certification (Configuration Baseline Management) Strong Administration Skills with an attention to detail - you are required to have a logical mind-set
17/05/2024
Project-based
Configuration Engineer £43ph (Umbrella, Inside IR35) Lincoln (Regular home working available) Initial 6 months An experienced Configuration Engineer is required for our Lincoln site, preferably within the Defence and Aerospace Sector; you will be required to discharge the 5 key Configuration activities into IPT's across all life cycle phases of a Programme. Within this role, you shall give clear direction into the IPT on C&DM process and tools be that at System Requirements, System level, Software, or hardware. In doing so, you must be prepared to 'challenge the norm' and support the IPT's in process tailoring to fit the life cycle phase and/or context of a Programme As a Configuration Engineer, you are expected to: Drive a pro-active approach to C&DM into IPT's Support the Head of Configuration and Data Management in encouraging new ideas and innovative solutions into the IPT and the Line of Business. (LoB) As an individual, you are expected: To resolve C&DM issues within an IPT by making proposals and driving through solutions To build and manage Customer and Supplier relationships To develop and promote knowledge and use of PLM Key Responsibility Areas Configuration Management Planning including generation and review of CM Plan Configuration Identification Change Control - Must have had experience in operating Change Control Boards including Configuration status input to the Board Configuration Status Accounting with emphasis on the generation of Configuration Baselines Verification and Audit (led FCA/PCA) Working hand-in-hand with our engineering delivery teams to ensure the Project dataset is maintained and configuration controlled Skills, Qualifications & Knowledge Required A good understanding of Configuration Management in accordance with DEF STAN 05-57. Excellent practical understanding of the five key elements of Configuration Management: Planning, Identification, Change Management, Status Accounting and Audit/Verification Document management experience including delivery and receipt within the bounds of ITAR and Export controls Software Configuration Management at the point of release into the Product structure Provided C&DM input to Design Reviews and Certification (Configuration Baseline Management) Strong Administration Skills with an attention to detail - you are required to have a logical mind-set
Paid Media Manager required by a small, local firm who are bringing their Paid Media campaigns in-house, and require a dynamic individual to take ownership of this process. The Paid Media Manager will be an autonomous individual who thrives in a fast-paced environment. Previous experience might include: Experience creating and executing PPC campaigns Google Ads and Microsoft Ads (Bing) Analytical skills, using data for insights to drive future campaigns Adept at maximising ROI and conversion Keyword research, advert copywriting, A/B testing Owning Paid Social initiatives Working closely with the Development team, the Head of Digital, the MD, and various other internal stakeholders. This Paid Media Manager role offers the chance to join a friendly local company with a possibility of a hybrid working arrangement. Initially this Paid Media Manager role will require working a minimum 3 days a week in-office, but over time this requirement could be relaxed once you are up to speed with the company products and ways of working. The role offers a base salary of £28k to £45k. To apply for this Paid Media Manager role, send your CV to Dave Goffin at IT Recruitment Solutions now!
17/05/2024
Full time
Paid Media Manager required by a small, local firm who are bringing their Paid Media campaigns in-house, and require a dynamic individual to take ownership of this process. The Paid Media Manager will be an autonomous individual who thrives in a fast-paced environment. Previous experience might include: Experience creating and executing PPC campaigns Google Ads and Microsoft Ads (Bing) Analytical skills, using data for insights to drive future campaigns Adept at maximising ROI and conversion Keyword research, advert copywriting, A/B testing Owning Paid Social initiatives Working closely with the Development team, the Head of Digital, the MD, and various other internal stakeholders. This Paid Media Manager role offers the chance to join a friendly local company with a possibility of a hybrid working arrangement. Initially this Paid Media Manager role will require working a minimum 3 days a week in-office, but over time this requirement could be relaxed once you are up to speed with the company products and ways of working. The role offers a base salary of £28k to £45k. To apply for this Paid Media Manager role, send your CV to Dave Goffin at IT Recruitment Solutions now!
Senior Document Controller Initial 12 month contract Leatherhead (Hybrid) £30 per hour. Umbrella. Advantage Resourcing are working in partnership with a large engineering organisation who are currently seeking a Document Controller to work on an offshore project Your responsibilities will include: Under broad direction, oversees and performs the full range of activities with associated with document management work on a Project. Coordinate execution of the document management plan and procedures. Collaborates within the department, and the Client and customer, to ensure work processes are aligned with project processes and contractual requirements. Ensure document management deliverables are understood and delivered to contract, quality, and schedule requirements. Ensures the correct implementation, utilization, maintenance and use of the Document Management processes, systems, tools eg, IPMS, Documentum, SharePoint etc. This role is to support client with their document management system and processes and to interface with engineering contractors. Skills Required: Communicate/liaison with Project Management & Team, Client and Sub-Contractors effectively and resolve problems & issues relating to documentation, information and associated data. Proficient in Engineering & Supplier Document distribution management. Define and develop Project Document reports and statistics. Work within an integrated, multi-location, Document Management team. Communicates regularly with Document Management employees in various global offices by use of briefing sessions to share knowledge, best practices and lessons learned. Production and update of Master Document Register. Manage development and update of Distribution Matrix Production and update of Supplier SDRL/SDLs within Project EDMS Operate Document Request for Release process. If you are a Senior Document Controller seeking a new opportunity, please apply now. Reference: 72884 Hafsa Akram
17/05/2024
Project-based
Senior Document Controller Initial 12 month contract Leatherhead (Hybrid) £30 per hour. Umbrella. Advantage Resourcing are working in partnership with a large engineering organisation who are currently seeking a Document Controller to work on an offshore project Your responsibilities will include: Under broad direction, oversees and performs the full range of activities with associated with document management work on a Project. Coordinate execution of the document management plan and procedures. Collaborates within the department, and the Client and customer, to ensure work processes are aligned with project processes and contractual requirements. Ensure document management deliverables are understood and delivered to contract, quality, and schedule requirements. Ensures the correct implementation, utilization, maintenance and use of the Document Management processes, systems, tools eg, IPMS, Documentum, SharePoint etc. This role is to support client with their document management system and processes and to interface with engineering contractors. Skills Required: Communicate/liaison with Project Management & Team, Client and Sub-Contractors effectively and resolve problems & issues relating to documentation, information and associated data. Proficient in Engineering & Supplier Document distribution management. Define and develop Project Document reports and statistics. Work within an integrated, multi-location, Document Management team. Communicates regularly with Document Management employees in various global offices by use of briefing sessions to share knowledge, best practices and lessons learned. Production and update of Master Document Register. Manage development and update of Distribution Matrix Production and update of Supplier SDRL/SDLs within Project EDMS Operate Document Request for Release process. If you are a Senior Document Controller seeking a new opportunity, please apply now. Reference: 72884 Hafsa Akram
Senior Frontend Developer/Leeds/£60,000/SaaS/Tech4Good/Health and Safety/React.js/JavaScript/TypeScript Are you looking for a Tech4Good role that will improve the health and safety of teams across the globe? Or are you looking to work on a SaaS product where you get to see the fruits of your labour? I have partnered with a company that is changing the way high hazard industries and sites manage the safety of their staff. Their product is used by many incredible companies such as Fuji, Budweiser, SSE Renewables, EDF Renewables and Mitsubishi and they have doubled their turnover within the last 2 years. Their product is built in house and helps staff accessing the site complete a health and safety induction prior to entering. This helps speeds up the induction process whilst also making it thorough and protecting the staff in question. You would be joining their development team and reporting into their Head of Development to help maintain their product as well as implement new features, complete bug fixes, and create a new electronic permit to work system. Given the stage of the product development the day-to-day role would vary, and nothing would be repetitive. A successful candidate would have at least 2 years commercial experience using React.js, Next.js and TypeScript. Some of the benefits include: Up to £60,000 salary Remote or hybrid depending on your preference 25 days holiday + 3 days between Xmas and New year + bank holidays Free-on-site gym 35 hr working week Statutory workplace pension Should this role be of interest to you or anyone you know, please apply below or send me a CV on (see below) and I will be in touch! Please note this role does not offer sponsorship. Senior Frontend Developer/Leeds/£60,000/SaaS/Tech4Good/Health and Safety/React.js/JavaScript/TypeScript
16/05/2024
Full time
Senior Frontend Developer/Leeds/£60,000/SaaS/Tech4Good/Health and Safety/React.js/JavaScript/TypeScript Are you looking for a Tech4Good role that will improve the health and safety of teams across the globe? Or are you looking to work on a SaaS product where you get to see the fruits of your labour? I have partnered with a company that is changing the way high hazard industries and sites manage the safety of their staff. Their product is used by many incredible companies such as Fuji, Budweiser, SSE Renewables, EDF Renewables and Mitsubishi and they have doubled their turnover within the last 2 years. Their product is built in house and helps staff accessing the site complete a health and safety induction prior to entering. This helps speeds up the induction process whilst also making it thorough and protecting the staff in question. You would be joining their development team and reporting into their Head of Development to help maintain their product as well as implement new features, complete bug fixes, and create a new electronic permit to work system. Given the stage of the product development the day-to-day role would vary, and nothing would be repetitive. A successful candidate would have at least 2 years commercial experience using React.js, Next.js and TypeScript. Some of the benefits include: Up to £60,000 salary Remote or hybrid depending on your preference 25 days holiday + 3 days between Xmas and New year + bank holidays Free-on-site gym 35 hr working week Statutory workplace pension Should this role be of interest to you or anyone you know, please apply below or send me a CV on (see below) and I will be in touch! Please note this role does not offer sponsorship. Senior Frontend Developer/Leeds/£60,000/SaaS/Tech4Good/Health and Safety/React.js/JavaScript/TypeScript
Lead Radar Developer/Pricing Analyst - HYBRID/REMOTE We have a fantastic opportunity for an experienced individual to join one of our biggest customers. They are a leading force in their industry sector and are consistently receiving awards for being a top employer who take great care looking after their staff. Lead Radar Developer We have an exciting opportunity for an Lead Pricing Implementation Analyst to join the Pricing team based in Hampshire. The Lead Implementation Analyst role will involve the management and deployment of pricing models and underwriting rules across risk and retail pricing which will be key ensuring the client meets its strategic goals. Main Responsibilities as Lead Radar Developer: Develop, validate, review and promote Radar Live models for Risk and Market Pricing. Integration of models ahead of deployment Responsible for XML changes within model Build and deployment of Percayso quote manipulation rules. Manage Radar defects arising from other areas of business from BAU/Standard/Project changes. Radar version/licence updates Enrichment capstone specification maintenance Provide impact assessments for BAU, Standard &Project changes. Ownership and maintenance of Pricing Product Spec documents Ensuring accuracy of Private Car, Commercial Vehicle, Motorcycle and Household rates and rules on internal systems and third party SWH. Management, development and coaching of more Junior Implementation Analysts. Excellent at creating innovative solutions to problems and constantly striving to improve process. Iteratively creating and improving best practices and standards for the team, and ensuring they are clearly communicated and adopted. Excellent spoken and written communication, with the ability to engage constructively in both technical and non-technical discussions at all levels. Ensure close collaboration and alignment with Product teams to ensure knowledge sharing and understanding of what the product builds are trying to achieve. Deputise for the Pricing implementation manager when necessary. Skills and experience you need as Lead Radar Developer Educated to A-level or equivalent with numerical disciplines studied. Experience in insurance pricing, underwriting or product writing. Experienced user of Radar and Radar Live Proven experience of devising solutions to business problems. Good understanding of messaging structures and transform for various SWHs and how they interact Effective coaching of junior staff and development of pricing skills. Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors. Ability to understand complex rating structures and offer solutions for efficient builds Self-motivated, with the drive, energy and ability to work on own initiative. Very strong planning, prioritisation and organisational skills. Delivery of high quality pricing projects from start to end with minimal oversight Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
16/05/2024
Full time
Lead Radar Developer/Pricing Analyst - HYBRID/REMOTE We have a fantastic opportunity for an experienced individual to join one of our biggest customers. They are a leading force in their industry sector and are consistently receiving awards for being a top employer who take great care looking after their staff. Lead Radar Developer We have an exciting opportunity for an Lead Pricing Implementation Analyst to join the Pricing team based in Hampshire. The Lead Implementation Analyst role will involve the management and deployment of pricing models and underwriting rules across risk and retail pricing which will be key ensuring the client meets its strategic goals. Main Responsibilities as Lead Radar Developer: Develop, validate, review and promote Radar Live models for Risk and Market Pricing. Integration of models ahead of deployment Responsible for XML changes within model Build and deployment of Percayso quote manipulation rules. Manage Radar defects arising from other areas of business from BAU/Standard/Project changes. Radar version/licence updates Enrichment capstone specification maintenance Provide impact assessments for BAU, Standard &Project changes. Ownership and maintenance of Pricing Product Spec documents Ensuring accuracy of Private Car, Commercial Vehicle, Motorcycle and Household rates and rules on internal systems and third party SWH. Management, development and coaching of more Junior Implementation Analysts. Excellent at creating innovative solutions to problems and constantly striving to improve process. Iteratively creating and improving best practices and standards for the team, and ensuring they are clearly communicated and adopted. Excellent spoken and written communication, with the ability to engage constructively in both technical and non-technical discussions at all levels. Ensure close collaboration and alignment with Product teams to ensure knowledge sharing and understanding of what the product builds are trying to achieve. Deputise for the Pricing implementation manager when necessary. Skills and experience you need as Lead Radar Developer Educated to A-level or equivalent with numerical disciplines studied. Experience in insurance pricing, underwriting or product writing. Experienced user of Radar and Radar Live Proven experience of devising solutions to business problems. Good understanding of messaging structures and transform for various SWHs and how they interact Effective coaching of junior staff and development of pricing skills. Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors. Ability to understand complex rating structures and offer solutions for efficient builds Self-motivated, with the drive, energy and ability to work on own initiative. Very strong planning, prioritisation and organisational skills. Delivery of high quality pricing projects from start to end with minimal oversight Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Location: Cambridge We're seeking an experienced Lead Mechatronic Engineer to spearhead the development of our autonomous harvesting robot. In this role, you'll design, build, and test prototypes, ensuring the system's robustness and manufacturability for market readiness. Responsibilities: Lead the design and development of the robotic platform for precision harvesting. Integrate sensors, electronics, software, and electromechanical devices into cost-effective designs. Collaborate with cross-functional teams on system integration and manufacturing processes. Conduct field trials and validation at grower sites. Manage projects, partnerships, and suppliers to meet timelines and budgets. Present technical reports and updates to senior leadership. Oversee CAD and PDM infrastructure, providing training and support. Qualifications/Experience: Degree in Mechatronic Engineering or equivalent. 5+ years of product development experience in robotics or manufacturing. Expertise in SolidWorks, Altium, and the full product development life cycle. Proficient in 3D CAD modelling, tolerance analysis, and design for manufacturability. Ability to lead projects, interpret customer needs, and translate requirements. Skilled in managing multiple projects, deadlines, and priorities. Experience with design for manufacturing principles and FEA (preferred). Familiarity with robot arm actuators, end-effectors/grippers, and soft robotics. Strong problem-solving, analytical, and organizational skills. Excellent team player with the ability to work autonomously. Proficient in MS Office tools Job Types: Full-time, Permanent
16/05/2024
Full time
Location: Cambridge We're seeking an experienced Lead Mechatronic Engineer to spearhead the development of our autonomous harvesting robot. In this role, you'll design, build, and test prototypes, ensuring the system's robustness and manufacturability for market readiness. Responsibilities: Lead the design and development of the robotic platform for precision harvesting. Integrate sensors, electronics, software, and electromechanical devices into cost-effective designs. Collaborate with cross-functional teams on system integration and manufacturing processes. Conduct field trials and validation at grower sites. Manage projects, partnerships, and suppliers to meet timelines and budgets. Present technical reports and updates to senior leadership. Oversee CAD and PDM infrastructure, providing training and support. Qualifications/Experience: Degree in Mechatronic Engineering or equivalent. 5+ years of product development experience in robotics or manufacturing. Expertise in SolidWorks, Altium, and the full product development life cycle. Proficient in 3D CAD modelling, tolerance analysis, and design for manufacturability. Ability to lead projects, interpret customer needs, and translate requirements. Skilled in managing multiple projects, deadlines, and priorities. Experience with design for manufacturing principles and FEA (preferred). Familiarity with robot arm actuators, end-effectors/grippers, and soft robotics. Strong problem-solving, analytical, and organizational skills. Excellent team player with the ability to work autonomously. Proficient in MS Office tools Job Types: Full-time, Permanent
About Us We are the International Division of our client, quoted on the LSE. Our client provides innovative and high-quality engineered components for the fenestration industry. The Division operates in Europe, Africa, Asia, Australia and Latin America. It is headquartered in Bologna and besides in Italy, it has manufacturing operations in the UK, China and Australia, along with sales and distribution units with light assembly facilities in Argentina, France, Greece, India, Spain, Turkey, Brasil, Germany and the United Arab Emirates. Our client's products are sold into residential and commercial applications all over the world under the Schlegel brand for sealing solutions to aluminium, PVCu and timber applications, the Giesse brand for hardware systems in aluminium doors and windows and the Reguitti brand for doors and windows handles. What You'll Do For our plant located in Henlow, we are looking for a Maintenance Engineer to join our team. Your main tasks & responsibilities Maintain and service all production machinery, using a multi-skilled approach, in accordance with manufacturers OEM'S Provide frontline engineering support Assist the Engineering Supervisor in minimising machine down time by proposing and introducing improved maintenance programmes and continuous improvement ideas Execute DPM/PPM systems Carry out property/facility maintenance duties as required Carry out routine statutory checks as required Complete a breakdown/fault log on a daily basis Liaise with the cell leaders on a daily basis providing engineering support Liaise with contracted service providers when on site, sign on/off in line with the companies site visitor/"permit to work" procedures Ensure TDI Monitoring system is operating correctly at all times Monitor engineering stock usage, order spares as required to provide continuous production support Participate in continuous improvement programmes Complete additional skills training as required by the company To provide out of hours "call-out" service Carry out such other duties as the management team may reasonably require To adhere to all Health, Safety and Environmental procedures To report any unsafe acts or Health, Safety and Environmental incidents Key Contacts Engineering Manager Engineering Supervisor Plant Manager Production Manager Shift Supervisors Key Outputs Contribute to smooth operation of production plant and site facilities. Key Skills Ideally Electrically Biased Multi Skilled Apprenticeship and NVQ level 3 Electrical 18th Edition qualification desirable Technically competent Knowledge of electrical/mechanical DPM/PPM procedures an advantage Knowledge of hydraulic and pneumatic systems an advantage Conversant with electrical/PLC control systems desirable Conversant with H&S rules, regulations and best practices (LOTO) Ability to prioritise workload and concisely record information Basic IT Knowledge Be able to work independently and part of a team "Hands on" and "can do" approach Additional Information Competitive Salary Immediate start
16/05/2024
Full time
About Us We are the International Division of our client, quoted on the LSE. Our client provides innovative and high-quality engineered components for the fenestration industry. The Division operates in Europe, Africa, Asia, Australia and Latin America. It is headquartered in Bologna and besides in Italy, it has manufacturing operations in the UK, China and Australia, along with sales and distribution units with light assembly facilities in Argentina, France, Greece, India, Spain, Turkey, Brasil, Germany and the United Arab Emirates. Our client's products are sold into residential and commercial applications all over the world under the Schlegel brand for sealing solutions to aluminium, PVCu and timber applications, the Giesse brand for hardware systems in aluminium doors and windows and the Reguitti brand for doors and windows handles. What You'll Do For our plant located in Henlow, we are looking for a Maintenance Engineer to join our team. Your main tasks & responsibilities Maintain and service all production machinery, using a multi-skilled approach, in accordance with manufacturers OEM'S Provide frontline engineering support Assist the Engineering Supervisor in minimising machine down time by proposing and introducing improved maintenance programmes and continuous improvement ideas Execute DPM/PPM systems Carry out property/facility maintenance duties as required Carry out routine statutory checks as required Complete a breakdown/fault log on a daily basis Liaise with the cell leaders on a daily basis providing engineering support Liaise with contracted service providers when on site, sign on/off in line with the companies site visitor/"permit to work" procedures Ensure TDI Monitoring system is operating correctly at all times Monitor engineering stock usage, order spares as required to provide continuous production support Participate in continuous improvement programmes Complete additional skills training as required by the company To provide out of hours "call-out" service Carry out such other duties as the management team may reasonably require To adhere to all Health, Safety and Environmental procedures To report any unsafe acts or Health, Safety and Environmental incidents Key Contacts Engineering Manager Engineering Supervisor Plant Manager Production Manager Shift Supervisors Key Outputs Contribute to smooth operation of production plant and site facilities. Key Skills Ideally Electrically Biased Multi Skilled Apprenticeship and NVQ level 3 Electrical 18th Edition qualification desirable Technically competent Knowledge of electrical/mechanical DPM/PPM procedures an advantage Knowledge of hydraulic and pneumatic systems an advantage Conversant with electrical/PLC control systems desirable Conversant with H&S rules, regulations and best practices (LOTO) Ability to prioritise workload and concisely record information Basic IT Knowledge Be able to work independently and part of a team "Hands on" and "can do" approach Additional Information Competitive Salary Immediate start
JAVA Solution Architect Are you an experienced JAVA Solution Architect? Have you taken charge of the redesign and rearchitecture of large monolithic JAVA based applications into microservices? Have you provided JAVA development teams with direction and architectural decisions in an Agile way? Are you interested in becoming part of a team that is responsible for API development, which enables developers to develop their own microservices? If so, this could be the perfect JAVA Solution Architect job for you! You will join a specialist team based in Zurich that take responsibility for API development. You will work as a Senior JAVA Solution architect in this role, reporting directly into the Head of the team and working with another Architect to make architectural and design decisions. Alongside the developers in Zurich, there is also a near shore team that contribute to the ongoing development and growth of the platform. The team have developed an integration platform that enables developers to develop their own microservices and currently have circa 60 microservices in production. They do this by following a strict Agile approach to development, making use of high test coverage and also Cucumber for BDD. The core competencies are strong JAVA development skills, good knowledge of the Spring framework (Boot, Integration), microservices and Kafka for streaming. Given the nature of their work, there is containerization using Docker & Kubernetes. As part of this team you will get the best of both worlds in the sense that you will work for a large well funded firm, but get to operate without as much of the classic red tape associated with a large environment. If you are interested in finding out more about this JAVA Solution Architect job, please send your CV to (see below) or alternatively you can call me
16/05/2024
Project-based
JAVA Solution Architect Are you an experienced JAVA Solution Architect? Have you taken charge of the redesign and rearchitecture of large monolithic JAVA based applications into microservices? Have you provided JAVA development teams with direction and architectural decisions in an Agile way? Are you interested in becoming part of a team that is responsible for API development, which enables developers to develop their own microservices? If so, this could be the perfect JAVA Solution Architect job for you! You will join a specialist team based in Zurich that take responsibility for API development. You will work as a Senior JAVA Solution architect in this role, reporting directly into the Head of the team and working with another Architect to make architectural and design decisions. Alongside the developers in Zurich, there is also a near shore team that contribute to the ongoing development and growth of the platform. The team have developed an integration platform that enables developers to develop their own microservices and currently have circa 60 microservices in production. They do this by following a strict Agile approach to development, making use of high test coverage and also Cucumber for BDD. The core competencies are strong JAVA development skills, good knowledge of the Spring framework (Boot, Integration), microservices and Kafka for streaming. Given the nature of their work, there is containerization using Docker & Kubernetes. As part of this team you will get the best of both worlds in the sense that you will work for a large well funded firm, but get to operate without as much of the classic red tape associated with a large environment. If you are interested in finding out more about this JAVA Solution Architect job, please send your CV to (see below) or alternatively you can call me
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
15/05/2024
Full time
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
15/05/2024
Full time
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
15/05/2024
Full time
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.