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
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.
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.
A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in Android development to join their Everyday Banking team! This will be a senior technical position in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java/Kotlin within Android development Background in defining standards and setting best practices Previous experience of leading and motivating teams, creating a culture of positivity Jetpack Restful APIs and integrating with Back End android applications Agile TDD/BDD The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Everyday Banking function. *Please note, strong commercial experience of Android development is required for this position. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role.
15/05/2024
Full time
A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in Android development to join their Everyday Banking team! This will be a senior technical position in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java/Kotlin within Android development Background in defining standards and setting best practices Previous experience of leading and motivating teams, creating a culture of positivity Jetpack Restful APIs and integrating with Back End android applications Agile TDD/BDD The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Everyday Banking function. *Please note, strong commercial experience of Android development is required for this position. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role.
Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in iOS to join their Payments team! This will be a Chapter Lead Engineer - iOS in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: * iOS Mobile developer * TDD, BDD and DevOps practices * Knowledge of iOS frameworks such as UIKit, Core Animation, Core Data * Experience with offline storage, threading, and performance tuning * RESTful APIs, and connecting iOS applications to Back End services * Understanding of Apple's design principles and interface guidelines * Agile The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Payments function. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role. Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh
15/05/2024
Full time
Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in iOS to join their Payments team! This will be a Chapter Lead Engineer - iOS in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: * iOS Mobile developer * TDD, BDD and DevOps practices * Knowledge of iOS frameworks such as UIKit, Core Animation, Core Data * Experience with offline storage, threading, and performance tuning * RESTful APIs, and connecting iOS applications to Back End services * Understanding of Apple's design principles and interface guidelines * Agile The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Payments function. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role. Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh
A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in Java to join their Lending team! This will be a senior technical position in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £100k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java 17+ AWS Kafka Springboot Docker/Kubernetes Devops & CI/CD pipelines Microservices TDD approach API gateways/Kong The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Lending function. *Please note, strong commercial experience of Java is required for this position. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role.
15/05/2024
Full time
A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in Java to join their Lending team! This will be a senior technical position in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £100k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java 17+ AWS Kafka Springboot Docker/Kubernetes Devops & CI/CD pipelines Microservices TDD approach API gateways/Kong The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Lending function. *Please note, strong commercial experience of Java is required for this position. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role.
Manufacturing Sales, Business Development Switzerland, German speaker big OTE! Permanent Switzerland/flexible on location German speaking Consulting - Technology - Manufacturing. We are looking for people who will accompany our customers on their way into the digital future and actively support them in the challenges ahead. To be successful here, you need industry Manufacturing knowledge across the entire value chain from sales, development, production to assembly and service, as well as the necessary IT know-how, and the willingness to go the extra mile to achieve excellent performance together with the customer achieve Your area of responsibility includes: -You work in various roles on projects and develop excellent solutions for complex tasks together with our customers. -As a business consultant, you are in close contact with our customers and actively develop our customer base, discuss questions and derive tasks and projects from them with which we can support our customers. -Where necessary, you will provide technical support to our sales department in the various sales phases, from preparing an offer to concluding a contract. -Control and coordination of partners and service providers. -Development of new solution offerings depending on industry developments. -Developing customer campaigns with the support of our marketing department. Ideal experience -You have a completed degree in computer science, business informatics or a technical engineering course. -You have at least 8 years of professional experience in an industrial Manufacturing environment. -You have already worked as a project manager, business analyst, requirements engineer or in test management and are certified. -You are passionate about topics such as lean processes, variant management, digital production, IoT, predictive maintenance, etc., have the necessary expertise and are hungry for the latest trends in the industry. -You present complex ideas and solutions in an understandable and effective way. -You have no problems networking and cooperating with stakeholders across all hierarchy levels. -We require fluent German and good English skills. -Willingness to travel within Switzerland. If you are interested please apply with your most up to date CV Michael Bailey International is acting as an Employment Agency in relation to this vacancy.
13/05/2024
Full time
Manufacturing Sales, Business Development Switzerland, German speaker big OTE! Permanent Switzerland/flexible on location German speaking Consulting - Technology - Manufacturing. We are looking for people who will accompany our customers on their way into the digital future and actively support them in the challenges ahead. To be successful here, you need industry Manufacturing knowledge across the entire value chain from sales, development, production to assembly and service, as well as the necessary IT know-how, and the willingness to go the extra mile to achieve excellent performance together with the customer achieve Your area of responsibility includes: -You work in various roles on projects and develop excellent solutions for complex tasks together with our customers. -As a business consultant, you are in close contact with our customers and actively develop our customer base, discuss questions and derive tasks and projects from them with which we can support our customers. -Where necessary, you will provide technical support to our sales department in the various sales phases, from preparing an offer to concluding a contract. -Control and coordination of partners and service providers. -Development of new solution offerings depending on industry developments. -Developing customer campaigns with the support of our marketing department. Ideal experience -You have a completed degree in computer science, business informatics or a technical engineering course. -You have at least 8 years of professional experience in an industrial Manufacturing environment. -You have already worked as a project manager, business analyst, requirements engineer or in test management and are certified. -You are passionate about topics such as lean processes, variant management, digital production, IoT, predictive maintenance, etc., have the necessary expertise and are hungry for the latest trends in the industry. -You present complex ideas and solutions in an understandable and effective way. -You have no problems networking and cooperating with stakeholders across all hierarchy levels. -We require fluent German and good English skills. -Willingness to travel within Switzerland. If you are interested please apply with your most up to date CV Michael Bailey International is acting as an Employment Agency in relation to this vacancy.
Electrical Hardware Engineer Staffordshire (Hybrid) Up to £65,000 + benefits We have partnered with an organisation who specialises in digital transformations and operational technology who have been ahead of the game with their advanced systems for years. The business who are going from strength to strength, are looking to hire a Hardware Engineer to be part of the business's world class team ahead of their expanding project opportunities. The Hardware Engineer will be primary based in the office in Stafford and will be designing hardware systems using various hardware components for a key focus on MCCs, PLCs, Switchgear and Drives & Controls. Essential requirements for the Electrical Hardware Engineer Minimum of 5 years experience in a similar role with qualifications in this field Strong understanding of designing electrical panels containing PLC's and LV distribution systems. Design of containment systems and electrical cabling Proven experience of AutoCAD Electrical, Microsoft office products. Working with production to see the design through to completion. Mentoring experience with junior engineer Understanding of IEC BS EN 61439-1,Low-voltage switchgear and control gear assemblies Ability to develop technical solutions to meet customer and project expectations Working knowledge of BS7671 IEE 18th Edition Wiring Regulations Benefits of the Electrical Hardware Engineer 25 days holiday plus bank holidays Tailored pension planning scheme Life assurance policy and private health care Support in achieving professional engineer status (IEng, CEng) and professional memberships fees covered. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
13/05/2024
Full time
Electrical Hardware Engineer Staffordshire (Hybrid) Up to £65,000 + benefits We have partnered with an organisation who specialises in digital transformations and operational technology who have been ahead of the game with their advanced systems for years. The business who are going from strength to strength, are looking to hire a Hardware Engineer to be part of the business's world class team ahead of their expanding project opportunities. The Hardware Engineer will be primary based in the office in Stafford and will be designing hardware systems using various hardware components for a key focus on MCCs, PLCs, Switchgear and Drives & Controls. Essential requirements for the Electrical Hardware Engineer Minimum of 5 years experience in a similar role with qualifications in this field Strong understanding of designing electrical panels containing PLC's and LV distribution systems. Design of containment systems and electrical cabling Proven experience of AutoCAD Electrical, Microsoft office products. Working with production to see the design through to completion. Mentoring experience with junior engineer Understanding of IEC BS EN 61439-1,Low-voltage switchgear and control gear assemblies Ability to develop technical solutions to meet customer and project expectations Working knowledge of BS7671 IEE 18th Edition Wiring Regulations Benefits of the Electrical Hardware Engineer 25 days holiday plus bank holidays Tailored pension planning scheme Life assurance policy and private health care Support in achieving professional engineer status (IEng, CEng) and professional memberships fees covered. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
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
25/04/2024
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