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.
02/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
02/06/2024
Full time
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
02/06/2024
Full time
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
*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.
01/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Job Summary: We are seeking a dedicated and experienced Foreman to oversee our projects. The ideal candidate is a natural problem solver who enjoys working outdoors, has significant trade experience, and demonstrates excellent leadership and project management skills. This role requires someone who can see the big picture, ensure projects run both on time and on budget, maintain high standards of health and safety and creates a vibrant and positive atmosphere for a long term team of contractors. Essential Skills and Experience: Minimum 5 years of experience as a joiner or carpenter (or possibly some other trade) Minimum 2 years of experience supervising or managing others. All round understanding of what it would take to work with other contractors to help deliver a project; 90% of which would be garden rooms. Strong planning and coordination skills to ensure projects run smoothly. Natural problem solver with the ability to keep the team working efficiently. Excellent leadership skills, capable of coaching and supporting team members. Self-motivated and directed, with a focus on project completion. Friendly and sociable, committed to both the team and company Directors. Driver with own vehicle. High standards of project management and resource coordination. Ability to make commercially sound decisions that priortise the companies goals. Conscientious attitude, reliability, and consistency. Adherence to health and safety standards, maintaining tidy and organized sites. No BS approach to getting things done, and able to discern when others are trying to pull a fast one. Desirable Skills: Experience working with external building structures, such as cabins and pods. Possession of own van. Wide network of tradespeople (e.g., electricians, plumbers). Willingness to work on remote jobs when necessary. Ability to generate reports using company software and identify areas for improvement. Experience in recruiting and interviewing team members. Responsibilities: Overseeing day-to-day operations on the construction site. Ensuring materials and tools are available as needed. Coaching and mentoring younger team members. Maintaining necessary standards of health and safety on site. Ensuring projects are completed on time, on budget, and to a high standard. Maintaining professionalism and representing the company positively at all times. Generating reports and providing feedback for continuous improvement. Values: Our company values are integral to our operations and decision-making processes. We love creating a fun, inclusive and positive culture where we celebrate what we do, yet have each others backs for challenges outside of work. We love creating a sense of tribe; think an SAS squad that can hit the ground running and smash a project out of the work seriously impressing customers. We seek individuals who align with our emphasis on trustworthiness, integrity, honesty, and teamwork. We re passionate about what we do, and work with those who are proper grafters and love to celebrate at the end of the week and for special occasions. Application Process: Interested candidates are encouraged to apply directly. We will be conducting first and second interviews in the coming week with a starting date on the 7th June for an exciting new project starting on the 10th June. It will be continuous work. HQ is based in Southbourne, Bournemouth. How to Apply: Please send your CV and a cover letter detailing your experience and suitability for the role We look forward to receiving your application and discussing how you can become a valuable part of our team. Let's do this!
01/06/2024
Full time
Job Summary: We are seeking a dedicated and experienced Foreman to oversee our projects. The ideal candidate is a natural problem solver who enjoys working outdoors, has significant trade experience, and demonstrates excellent leadership and project management skills. This role requires someone who can see the big picture, ensure projects run both on time and on budget, maintain high standards of health and safety and creates a vibrant and positive atmosphere for a long term team of contractors. Essential Skills and Experience: Minimum 5 years of experience as a joiner or carpenter (or possibly some other trade) Minimum 2 years of experience supervising or managing others. All round understanding of what it would take to work with other contractors to help deliver a project; 90% of which would be garden rooms. Strong planning and coordination skills to ensure projects run smoothly. Natural problem solver with the ability to keep the team working efficiently. Excellent leadership skills, capable of coaching and supporting team members. Self-motivated and directed, with a focus on project completion. Friendly and sociable, committed to both the team and company Directors. Driver with own vehicle. High standards of project management and resource coordination. Ability to make commercially sound decisions that priortise the companies goals. Conscientious attitude, reliability, and consistency. Adherence to health and safety standards, maintaining tidy and organized sites. No BS approach to getting things done, and able to discern when others are trying to pull a fast one. Desirable Skills: Experience working with external building structures, such as cabins and pods. Possession of own van. Wide network of tradespeople (e.g., electricians, plumbers). Willingness to work on remote jobs when necessary. Ability to generate reports using company software and identify areas for improvement. Experience in recruiting and interviewing team members. Responsibilities: Overseeing day-to-day operations on the construction site. Ensuring materials and tools are available as needed. Coaching and mentoring younger team members. Maintaining necessary standards of health and safety on site. Ensuring projects are completed on time, on budget, and to a high standard. Maintaining professionalism and representing the company positively at all times. Generating reports and providing feedback for continuous improvement. Values: Our company values are integral to our operations and decision-making processes. We love creating a fun, inclusive and positive culture where we celebrate what we do, yet have each others backs for challenges outside of work. We love creating a sense of tribe; think an SAS squad that can hit the ground running and smash a project out of the work seriously impressing customers. We seek individuals who align with our emphasis on trustworthiness, integrity, honesty, and teamwork. We re passionate about what we do, and work with those who are proper grafters and love to celebrate at the end of the week and for special occasions. Application Process: Interested candidates are encouraged to apply directly. We will be conducting first and second interviews in the coming week with a starting date on the 7th June for an exciting new project starting on the 10th June. It will be continuous work. HQ is based in Southbourne, Bournemouth. How to Apply: Please send your CV and a cover letter detailing your experience and suitability for the role We look forward to receiving your application and discussing how you can become a valuable part of our team. Let's do this!
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* Prestigious Global Firm is currently seeking a Senior Legal Presentation Designer with Adobe Creative Suite experience. Candidate will deliver superior graphical production support and consultation to attorneys, legal assistants and expert witnesses. They are experts regarding the use of specialized graphics as visual aids to assist juries, judges, arbitrators and mock juries in matters involving complex litigation. This position requires at least 5 years of technical experience providing some combination of graphics creation, support at pre-trial and at-trial functions. The Senior Presentation Designer must be self-motivated, diligent, disciplined, resourceful, organized, be able to multi-task, and operate especially well under time constraints and similar demanding influences. Superior written and oral communication skills are required, as are the abilities to cultivate customer relationships and foster collaborative relationships with attorneys, legal assistants and colleagues. Responsibilities: Work closely with trial teams to develop graphic recommendations for effective visual communication of case themes. Conceptualize, design, revise, and oversee completion of high-level graphics, illustrations, and animations. Create, revise and reformat PowerPoint presentations, developing and maintaining litigation-specific formatting, style, and consistency. Provide on-site trial support, serving as point of contact and directing workflow when multiple designers present. Assist with marketing and promotion of Firm's internal trial resources. Build and maintain strong working relationships with attorneys, legal assistants and colleagues. Qualifications: Proficiency in Adobe Creative Cloud and Microsoft Office Suite required; working knowledge of 2D/3D animation and modelling software a plus. Minimum required and preferred qualifications needed to effectively perform the job. Education. Bachelor of Arts or Science from accredited College or University, preferred. 5+ years of Legal Technology experience, required. Technologies/Software Proficiency in Adobe Creative Cloud and Microsoft Office Suite required. Working knowledge of 2D/3D animation and modelling software a plus.
31/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* Prestigious Global Firm is currently seeking a Senior Legal Presentation Designer with Adobe Creative Suite experience. Candidate will deliver superior graphical production support and consultation to attorneys, legal assistants and expert witnesses. They are experts regarding the use of specialized graphics as visual aids to assist juries, judges, arbitrators and mock juries in matters involving complex litigation. This position requires at least 5 years of technical experience providing some combination of graphics creation, support at pre-trial and at-trial functions. The Senior Presentation Designer must be self-motivated, diligent, disciplined, resourceful, organized, be able to multi-task, and operate especially well under time constraints and similar demanding influences. Superior written and oral communication skills are required, as are the abilities to cultivate customer relationships and foster collaborative relationships with attorneys, legal assistants and colleagues. Responsibilities: Work closely with trial teams to develop graphic recommendations for effective visual communication of case themes. Conceptualize, design, revise, and oversee completion of high-level graphics, illustrations, and animations. Create, revise and reformat PowerPoint presentations, developing and maintaining litigation-specific formatting, style, and consistency. Provide on-site trial support, serving as point of contact and directing workflow when multiple designers present. Assist with marketing and promotion of Firm's internal trial resources. Build and maintain strong working relationships with attorneys, legal assistants and colleagues. Qualifications: Proficiency in Adobe Creative Cloud and Microsoft Office Suite required; working knowledge of 2D/3D animation and modelling software a plus. Minimum required and preferred qualifications needed to effectively perform the job. Education. Bachelor of Arts or Science from accredited College or University, preferred. 5+ years of Legal Technology experience, required. Technologies/Software Proficiency in Adobe Creative Cloud and Microsoft Office Suite required. Working knowledge of 2D/3D animation and modelling software a plus.
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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.
31/05/2024
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.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
31/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
Technical Author - API documentation Are you looking for your next technical writing challenge? Do you enjoy working with API documentation? Does the thought of setting up an API documentation set from scratch excite you? Then look no further as this could be the role for you! Our innovative, fast-growing software client is looking for a technical author with significant API experience to join their friendly technical communications team. Your main focus will be setting up the new API documentation set from scratch whilst also teaching the team how best to document APIs. You will also write and review a range of technical documentation such as user guides, release notes, and installation guides. This company welcomes people with an inquisitive mind and new ideas to share. You will have: At least two years' experience of setting up and creating API documentation. Any experience with React or JSON would be very useful. Working knowledge of agile approaches such as Scrum and Kanban. Excellent written and verbal communication skills, with the ability to understand highly complex technical ideas and explain them in simple, clear and concise terms. Experience working on multiple projects at once and in a fast-paced environment. The ability to speak to people at all levels of the business and to clients. Enthusiasm and motivation to learn new skills. The following are desirable, but not essential: Experience with technical authoring tools such as MadCap Flare, RoboHelp. A working knowledge of Git, HTML, CSS or JavaScript. This is a hybrid role where you will be required to be onsite in our client's Greater Manchester office for one day a week. From September 2024 this will increase to two days per week. There is parking available onsite and it's a short walk/shuttle bus from the nearest train station.
31/05/2024
Full time
Technical Author - API documentation Are you looking for your next technical writing challenge? Do you enjoy working with API documentation? Does the thought of setting up an API documentation set from scratch excite you? Then look no further as this could be the role for you! Our innovative, fast-growing software client is looking for a technical author with significant API experience to join their friendly technical communications team. Your main focus will be setting up the new API documentation set from scratch whilst also teaching the team how best to document APIs. You will also write and review a range of technical documentation such as user guides, release notes, and installation guides. This company welcomes people with an inquisitive mind and new ideas to share. You will have: At least two years' experience of setting up and creating API documentation. Any experience with React or JSON would be very useful. Working knowledge of agile approaches such as Scrum and Kanban. Excellent written and verbal communication skills, with the ability to understand highly complex technical ideas and explain them in simple, clear and concise terms. Experience working on multiple projects at once and in a fast-paced environment. The ability to speak to people at all levels of the business and to clients. Enthusiasm and motivation to learn new skills. The following are desirable, but not essential: Experience with technical authoring tools such as MadCap Flare, RoboHelp. A working knowledge of Git, HTML, CSS or JavaScript. This is a hybrid role where you will be required to be onsite in our client's Greater Manchester office for one day a week. From September 2024 this will increase to two days per week. There is parking available onsite and it's a short walk/shuttle bus from the nearest train station.
You will be working for a UK - headquartered biotechnology company with an innovative Computational platform designed to enhance drug discovery and a proprietary RNA Interference platform, able to silence any gene in the liver. This is an extremely exciting opportunity to truly make a difference to people's live through AI, RNAi and software development. You will be joining a small agile team working closely with others to build and maintain a computational drug discovery platform. This is a unique opportunity to play a significant Role in building software products that have never been built before, anywhere. You will be the expert in the team on building cloud-native applications, guiding us in best practice and patterns. As the most senior member, you will play a leadership role - actively identifying and guiding the team through technical and operational challenges. Responsibilities Using your experience of successfully delivering projects to lead and mentor the team in working processes and standards, and engineering best practice and concepts - to be their first point of reference for difficulties or advice throughout the software life cycle. Working with teams across the company to design, build, and deploy new software products to aid in drug discovery. Monitoring and maintaining deployed software in line with our Service Level Agreement Being the technical leader on architecting native applications in AWS Skills Comfortable in a senior or leadership position in teams Generalist with a background in full-stack, end-to-end cloud application design and development Experience of designing, planning, delivering project deadlines/sprint goals Strong experience with infrastructure as code on AWS using a wide range of AWS services; ECS and networking especially, but including S3, SQS, RDS, CloudWatch Python application or Java expert, but keen polyglot - very confident in at least one other mainstream language Comfortable with SQL and noSQL databases - both populating and querying Experience working with non-technical users - gathering and refining complex requirements. Salary up to £100,000 Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
31/05/2024
Full time
You will be working for a UK - headquartered biotechnology company with an innovative Computational platform designed to enhance drug discovery and a proprietary RNA Interference platform, able to silence any gene in the liver. This is an extremely exciting opportunity to truly make a difference to people's live through AI, RNAi and software development. You will be joining a small agile team working closely with others to build and maintain a computational drug discovery platform. This is a unique opportunity to play a significant Role in building software products that have never been built before, anywhere. You will be the expert in the team on building cloud-native applications, guiding us in best practice and patterns. As the most senior member, you will play a leadership role - actively identifying and guiding the team through technical and operational challenges. Responsibilities Using your experience of successfully delivering projects to lead and mentor the team in working processes and standards, and engineering best practice and concepts - to be their first point of reference for difficulties or advice throughout the software life cycle. Working with teams across the company to design, build, and deploy new software products to aid in drug discovery. Monitoring and maintaining deployed software in line with our Service Level Agreement Being the technical leader on architecting native applications in AWS Skills Comfortable in a senior or leadership position in teams Generalist with a background in full-stack, end-to-end cloud application design and development Experience of designing, planning, delivering project deadlines/sprint goals Strong experience with infrastructure as code on AWS using a wide range of AWS services; ECS and networking especially, but including S3, SQS, RDS, CloudWatch Python application or Java expert, but keen polyglot - very confident in at least one other mainstream language Comfortable with SQL and noSQL databases - both populating and querying Experience working with non-technical users - gathering and refining complex requirements. Salary up to £100,000 Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Overview: Join a leading news media company known for its commitment to quality journalism and innovative digital presence. We are looking for a talented and experienced Product Lead to drive the growth of the online communities. This role is crucial for enhancing user engagement and developing new revenue streams within the digital ecosystem. Job Summary: The Product Lead - Online Community Growth will be responsible for strategising, planning, and executing initiatives to build and expand the online communities. This role requires a proven track record of growing online communities and revenue streams within a media company . The ideal candidate will be adept at leveraging digital platforms, creating engaging content, and fostering a vibrant community culture. Key Responsibilities: Strategic Planning: Develop and implement a comprehensive strategy to grow and engage online communities, aligning with the company's overall digital strategy. Community Building: Foster and manage online communities across various platforms, including social media, forums, and proprietary digital channels. Content Development: Collaborate with editorial and content teams to create compelling content that drives community engagement and growth. Revenue Generation: Identify and develop new revenue streams related to community growth, such as subscription models, sponsored content, and partnership opportunities. Data Analysis: Utilise analytics to monitor community growth, engagement metrics, and revenue performance, making data-driven decisions to optimise strategies. User Engagement: Implement initiatives to enhance user interaction, satisfaction, and loyalty within online communities. Collaboration: Work closely with cross-functional teams, including marketing, product development, and customer support, to ensure cohesive community-building efforts. Feedback Loop: Establish mechanisms for collecting and analysing user feedback to continuously improve the community experience. Trend Monitoring: Stay up-to-date with industry trends and best practices in community management and digital engagement. Qualifications: Experience: Minimum of 5-7 years of experience in growing online communities and developing revenue streams within a media company. Digital Expertise: Strong understanding of digital platforms, social media, and community engagement tools. Education: Bachelor's degree in Marketing, Communications, Digital Media, or a related field. A master's degree is a plus. Analytical Skills: Proficiency in data analysis and using metrics to drive decision-making and strategy adjustments. Communication Skills: Excellent verbal and written communication skills, with the ability to craft compelling narratives and engage diverse audiences. Project Management: Proven ability to manage multiple projects simultaneously, with strong organisational and time management skills. Leadership: Strong leadership and team management abilities, with experience leading cross-functional initiatives. Creativity: Innovative mindset with a passion for creating engaging digital experiences. Interpersonal Skills: Excellent interpersonal skills, with the ability to build relationships and work collaboratively with internal and external stakeholders.
31/05/2024
Project-based
Overview: Join a leading news media company known for its commitment to quality journalism and innovative digital presence. We are looking for a talented and experienced Product Lead to drive the growth of the online communities. This role is crucial for enhancing user engagement and developing new revenue streams within the digital ecosystem. Job Summary: The Product Lead - Online Community Growth will be responsible for strategising, planning, and executing initiatives to build and expand the online communities. This role requires a proven track record of growing online communities and revenue streams within a media company . The ideal candidate will be adept at leveraging digital platforms, creating engaging content, and fostering a vibrant community culture. Key Responsibilities: Strategic Planning: Develop and implement a comprehensive strategy to grow and engage online communities, aligning with the company's overall digital strategy. Community Building: Foster and manage online communities across various platforms, including social media, forums, and proprietary digital channels. Content Development: Collaborate with editorial and content teams to create compelling content that drives community engagement and growth. Revenue Generation: Identify and develop new revenue streams related to community growth, such as subscription models, sponsored content, and partnership opportunities. Data Analysis: Utilise analytics to monitor community growth, engagement metrics, and revenue performance, making data-driven decisions to optimise strategies. User Engagement: Implement initiatives to enhance user interaction, satisfaction, and loyalty within online communities. Collaboration: Work closely with cross-functional teams, including marketing, product development, and customer support, to ensure cohesive community-building efforts. Feedback Loop: Establish mechanisms for collecting and analysing user feedback to continuously improve the community experience. Trend Monitoring: Stay up-to-date with industry trends and best practices in community management and digital engagement. Qualifications: Experience: Minimum of 5-7 years of experience in growing online communities and developing revenue streams within a media company. Digital Expertise: Strong understanding of digital platforms, social media, and community engagement tools. Education: Bachelor's degree in Marketing, Communications, Digital Media, or a related field. A master's degree is a plus. Analytical Skills: Proficiency in data analysis and using metrics to drive decision-making and strategy adjustments. Communication Skills: Excellent verbal and written communication skills, with the ability to craft compelling narratives and engage diverse audiences. Project Management: Proven ability to manage multiple projects simultaneously, with strong organisational and time management skills. Leadership: Strong leadership and team management abilities, with experience leading cross-functional initiatives. Creativity: Innovative mindset with a passion for creating engaging digital experiences. Interpersonal Skills: Excellent interpersonal skills, with the ability to build relationships and work collaboratively with internal and external stakeholders.
Exciting Contract Opportunity in Great Yarmouth for IT Specialist Role: IT Specialist Location: Great Yarmouth Work Type: Contract Duration: 6 months Work Model: Hybrid Are you passionate about IT support and eager to contribute to the transition to renewable energy? Role Overview: As an IT Specialist, you'll play a pivotal role in assisting on-site staff with technical issues, diagnosing and resolving hardware and software problems, and ensuring smooth operation across various IT systems. You'll thrive in a dynamic environment where your troubleshooting skills and communication abilities will be key. Essential Skills: 2+ years of experience in IT support or related roles within an IT department. Proficiency in troubleshooting general IT hardware, software, and network issues. Basic to intermediate understanding of cybersecurity principles. Excellent communication skills in English, both verbal and written. If you're a results-driven IT professional with a passion for excellence in technical support, we encourage you to apply for this exciting opportunity! Share your CV with us to take the next step in your career journey. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
31/05/2024
Project-based
Exciting Contract Opportunity in Great Yarmouth for IT Specialist Role: IT Specialist Location: Great Yarmouth Work Type: Contract Duration: 6 months Work Model: Hybrid Are you passionate about IT support and eager to contribute to the transition to renewable energy? Role Overview: As an IT Specialist, you'll play a pivotal role in assisting on-site staff with technical issues, diagnosing and resolving hardware and software problems, and ensuring smooth operation across various IT systems. You'll thrive in a dynamic environment where your troubleshooting skills and communication abilities will be key. Essential Skills: 2+ years of experience in IT support or related roles within an IT department. Proficiency in troubleshooting general IT hardware, software, and network issues. Basic to intermediate understanding of cybersecurity principles. Excellent communication skills in English, both verbal and written. If you're a results-driven IT professional with a passion for excellence in technical support, we encourage you to apply for this exciting opportunity! Share your CV with us to take the next step in your career journey. Randstad Technologies is acting as an Employment Business in relation to this vacancy.