Technical Lead - Underwriting Technology Permanent London Hybrid - 2 days in office £110,000 + Bonus + Progression + Benefits Fantastic Opportunity. About the Role The Technology Lead will need to have a clear understanding of the commercial imperatives for these UW Technology Initiatives and drive technology direction, staying up to date with the latest technologies and industry trends, and driving continuous improvement initiatives to enhance team productivity and business outcomes. About the Department & Team Key Responsibilities Understanding the UW Technology initiatives landscape for my client on a global basis, and the different UW Technology initiatives to design and support the implementation of proportionate and fit for purpose solutions designs and plans, including the downstream impacts on the technology landscape, and associated governance/controls Solution Design: Understand the individual initiatives and products to build and present designs (based on the high-level design considerations and transition states) to a sufficient level of detail for translation into technical deliverables Set-up and run a Design Authority Group, in line with the Terms of Reference Collaborate with Product Owners, Architects and Development teams to develop the solution design, aligning detailed designs with the high-level design and escalating any deviations Work closely with Software Architects, challenging their decisions and collaborating with them to optimise technical designs and translate them into technical deliverables Documenting key transition states from a Technology delivery point of view, and evolution throughout interim states, to a target Technology state Technology Capabilities & Standards: Provide application design and programming expertise and guidance to Technology professionals involved in the development and enhancement of business applications Work with Technology areas to identify, propose and implement new technologies as solutions to business needs, based on strategic direction and priorities Aligning the detailed designs with the wider GRS Technology Roadmap and 'North Star' Architecture and standards Create technical documentation for development solutions, future reference, and reporting Supporting the Development Teams: Work with agile development teams to build and enhance a growing software platform and provide technical leadership throughout the technical design and sprint process and ensure the team delivers high quality work that supports the delivery of business capabilities and associated value. Develop and set documentation and standards for all development and delivery activities, including using a common approach, structure, and platform (eg Confluence) for documentation, be responsible for checking that these standards are being properly met and ensure documentation and reporting evolves as requirements change over time. Supporting GRS/GRSI's Agile Transformation - the Technology Lead is also responsible supporting Agile practices at both the Team and Portfolio level, including: Facilitating the prioritisation of features for Program Increment (PI) 90/30-day planning and individual Sprint planning and prioritisation, supporting the Portfolio Head and Product Owners to manage change to the programs' PI plan and identify the impacts of those changes Driving cross team, Portfolio, and departmental planning, collaboration, coordination, including identifying dependencies and resolving impediments Driving delivery and continuous improvement by utilising feedback and metrics (quality, delivery rate, etc.) to identify areas of opportunity Participating at Portfolio level and within cross-functional teams as a subject matter expert to develop and improve operating policies and procedures and be an advocate in adopting Agile best practices and processes Supporting the configuration of Scaled Agile to the needs of the organisation, standardising, and documenting practices Skills and Experience Technology Expertise - you will have experience as the technology expert on a development team where you were responsible for everything from planning to delivering key features and management of those features. To be successful in the role you will need to quickly develop a deep understanding of the products and business goals which you can translate into technology direction, design, and decisions. Experience of Insurance and Reinsurance business and supporting technologies and/or experience leading implementation programs for the same is preferable. Agile and Scaled Agile practices - you know about and can lead on a range of Agile and Scaled Agile tools and techniques and be an advocate for these tools and techniques. You can establish a feedback loop for teams; you can take responsibility for the translation and measurement of value (what you put in and what you will get out) and ensure this relates to UW Technology Initiatives objectives and business needs. You can ensure the team has a situational awareness of work and priorities across the team. Angular 6 Java/JavaScript/JSON Ci/Cd pipeline build & deployment tools eg Bamboo Micro services & APIs Cloud experience (AWS & Azure) and serverless code deployment API integration experience, REST preferred Understanding of event driven architecture. Different AWS deployment methods eg native EC2, Pivotal Cloud Foundry (JVM) & Docker Familiar with design thinking, behaviour, and test-driven development/familiarity with test-and-learn approaches Experience of SQL database development, SSIS and cloud deployment eg RDS in AWS Knowledge of containerised deployments and optimisation techniques & tools eg Docker, Fargate, Kubernetes Experience of working with wider project teams including Scrum Masters, Product Owners, Business Analysts and Testers Experience of producing technical support documentation Experience of writing technical specifications/User Stories Experience of working within the full development life cycle ie development, unit testing and release management Experience of source code repositories, code branching and version control systems eg GIT and TFS
07/05/2024
Full time
Technical Lead - Underwriting Technology Permanent London Hybrid - 2 days in office £110,000 + Bonus + Progression + Benefits Fantastic Opportunity. About the Role The Technology Lead will need to have a clear understanding of the commercial imperatives for these UW Technology Initiatives and drive technology direction, staying up to date with the latest technologies and industry trends, and driving continuous improvement initiatives to enhance team productivity and business outcomes. About the Department & Team Key Responsibilities Understanding the UW Technology initiatives landscape for my client on a global basis, and the different UW Technology initiatives to design and support the implementation of proportionate and fit for purpose solutions designs and plans, including the downstream impacts on the technology landscape, and associated governance/controls Solution Design: Understand the individual initiatives and products to build and present designs (based on the high-level design considerations and transition states) to a sufficient level of detail for translation into technical deliverables Set-up and run a Design Authority Group, in line with the Terms of Reference Collaborate with Product Owners, Architects and Development teams to develop the solution design, aligning detailed designs with the high-level design and escalating any deviations Work closely with Software Architects, challenging their decisions and collaborating with them to optimise technical designs and translate them into technical deliverables Documenting key transition states from a Technology delivery point of view, and evolution throughout interim states, to a target Technology state Technology Capabilities & Standards: Provide application design and programming expertise and guidance to Technology professionals involved in the development and enhancement of business applications Work with Technology areas to identify, propose and implement new technologies as solutions to business needs, based on strategic direction and priorities Aligning the detailed designs with the wider GRS Technology Roadmap and 'North Star' Architecture and standards Create technical documentation for development solutions, future reference, and reporting Supporting the Development Teams: Work with agile development teams to build and enhance a growing software platform and provide technical leadership throughout the technical design and sprint process and ensure the team delivers high quality work that supports the delivery of business capabilities and associated value. Develop and set documentation and standards for all development and delivery activities, including using a common approach, structure, and platform (eg Confluence) for documentation, be responsible for checking that these standards are being properly met and ensure documentation and reporting evolves as requirements change over time. Supporting GRS/GRSI's Agile Transformation - the Technology Lead is also responsible supporting Agile practices at both the Team and Portfolio level, including: Facilitating the prioritisation of features for Program Increment (PI) 90/30-day planning and individual Sprint planning and prioritisation, supporting the Portfolio Head and Product Owners to manage change to the programs' PI plan and identify the impacts of those changes Driving cross team, Portfolio, and departmental planning, collaboration, coordination, including identifying dependencies and resolving impediments Driving delivery and continuous improvement by utilising feedback and metrics (quality, delivery rate, etc.) to identify areas of opportunity Participating at Portfolio level and within cross-functional teams as a subject matter expert to develop and improve operating policies and procedures and be an advocate in adopting Agile best practices and processes Supporting the configuration of Scaled Agile to the needs of the organisation, standardising, and documenting practices Skills and Experience Technology Expertise - you will have experience as the technology expert on a development team where you were responsible for everything from planning to delivering key features and management of those features. To be successful in the role you will need to quickly develop a deep understanding of the products and business goals which you can translate into technology direction, design, and decisions. Experience of Insurance and Reinsurance business and supporting technologies and/or experience leading implementation programs for the same is preferable. Agile and Scaled Agile practices - you know about and can lead on a range of Agile and Scaled Agile tools and techniques and be an advocate for these tools and techniques. You can establish a feedback loop for teams; you can take responsibility for the translation and measurement of value (what you put in and what you will get out) and ensure this relates to UW Technology Initiatives objectives and business needs. You can ensure the team has a situational awareness of work and priorities across the team. Angular 6 Java/JavaScript/JSON Ci/Cd pipeline build & deployment tools eg Bamboo Micro services & APIs Cloud experience (AWS & Azure) and serverless code deployment API integration experience, REST preferred Understanding of event driven architecture. Different AWS deployment methods eg native EC2, Pivotal Cloud Foundry (JVM) & Docker Familiar with design thinking, behaviour, and test-driven development/familiarity with test-and-learn approaches Experience of SQL database development, SSIS and cloud deployment eg RDS in AWS Knowledge of containerised deployments and optimisation techniques & tools eg Docker, Fargate, Kubernetes Experience of working with wider project teams including Scrum Masters, Product Owners, Business Analysts and Testers Experience of producing technical support documentation Experience of writing technical specifications/User Stories Experience of working within the full development life cycle ie development, unit testing and release management Experience of source code repositories, code branching and version control systems eg GIT and TFS
We are currently looking on behalf of one of our important clients for a Head of Embedded Software Development. The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Oversee the Technical & Personnel Management & further development of a Software & Control Specialist Team containing 6 Engineers. Further develop software development processes in collaboration with R&D Management. Ensure the implementation of software projects in accordance with product development processes. Concept, design & implement Embedded software for the control of RF Generators. Support the definition of new software requirements & functions. Partake in quality assurance, code management & releases. Your Skills & Experience: At least 5 years of professional experience in Software Development with Industrial Production Environments. At least 2 years of experience in the Technical Management of Employees. Strong experience in C, C++, Embedded Software Development & Agile Software Development. Any experience in the area of Control is a strong plus. Ideally experienced in Technical Sub-Project Management and/or Module Ownership. Your Profile: Completed University Degree, ideally in the area of Computer Science, Physics, Electrical Engineering, Microtechnology, Materials Science or similar. Customer & team-oriented with strong communication skills. Fluent in English (spoken & written), German language skills are considered very advantageous.
06/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Head of Embedded Software Development. The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Oversee the Technical & Personnel Management & further development of a Software & Control Specialist Team containing 6 Engineers. Further develop software development processes in collaboration with R&D Management. Ensure the implementation of software projects in accordance with product development processes. Concept, design & implement Embedded software for the control of RF Generators. Support the definition of new software requirements & functions. Partake in quality assurance, code management & releases. Your Skills & Experience: At least 5 years of professional experience in Software Development with Industrial Production Environments. At least 2 years of experience in the Technical Management of Employees. Strong experience in C, C++, Embedded Software Development & Agile Software Development. Any experience in the area of Control is a strong plus. Ideally experienced in Technical Sub-Project Management and/or Module Ownership. Your Profile: Completed University Degree, ideally in the area of Computer Science, Physics, Electrical Engineering, Microtechnology, Materials Science or similar. Customer & team-oriented with strong communication skills. Fluent in English (spoken & written), German language skills are considered very advantageous.
GNSS Engineer - Positioning - RF Engineering - Software - Paignton/Remote - (RL7360) Salary - Competitive Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days' annual leave, Fitness Classes & Progression Location - Paignton, Devon (Hybrid remote/onsite) The Client: Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. Their automated test and assurance solutions accelerate technology development in the lab, and ensure new products and services perform in the real world. Their innovative portfolio of products and services address the test, assurance, and automation challenges of a new generation of technologies: 5G, SD-WAN, Cloud, Autonomous Vehicles and beyond. The Candidate: This position would suit a candidate with Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. The Role: This role offers the exciting challenge of providing technical and project support across the organisations customised product portfolio. The Tailored Solutions team primarily works with leading-edge GNSS simulators across the Positioning Navigation and Timing technologies. In supporting this portfolio there is the opportunity to be supporting all technical and management phases of the Product Realisation Process', together with some customer engagement. Key Duties: Liaise with Sales team and customers directly to capture, question and understand requirements, ahead of proposing appropriate technical solutions in conjunction with cross-functional subject matter specialists. Development and ownership of the detailed technical content provided in the formal Tailored Solution technical proposal. Provide resource and materials costings for inclusion in the commercial response. In selected cases and dependent upon the project type, the opportunity to act as an individual contributor on the project delivery. Requirements: Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. Time spent in an individual technical contributor role. Requirements gathering and technical proposal writing knowledge, including some exposure to direct customer engagement. Familiar with (Ideally GNSS based) R&D methods; GNSS test; simulator development. Ability to grasp an understanding of new technologies and their application quickly. Good communication skills required to liaise across multi-discipline project teams and a diverse range of customers. Exposure to working on multiple projects simultaneously, with an ability to prioritise work. Comfortable working in small teams as well as on an individual basis. Preparation of process related materials (eg Bills of Materials) Excellent problem-solving skills. High level of computer literacy. To apply for this GNSS Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
06/05/2024
Full time
GNSS Engineer - Positioning - RF Engineering - Software - Paignton/Remote - (RL7360) Salary - Competitive Benefits - Pension, Life Insurance, Health Care, Dental, Gym, Birthday Benefits, 25 days' annual leave, Fitness Classes & Progression Location - Paignton, Devon (Hybrid remote/onsite) The Client: Curo are Partnering with a Global Company who deliver their B2B Customers cutting-edge technology. Their automated test and assurance solutions accelerate technology development in the lab, and ensure new products and services perform in the real world. Their innovative portfolio of products and services address the test, assurance, and automation challenges of a new generation of technologies: 5G, SD-WAN, Cloud, Autonomous Vehicles and beyond. The Candidate: This position would suit a candidate with Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. The Role: This role offers the exciting challenge of providing technical and project support across the organisations customised product portfolio. The Tailored Solutions team primarily works with leading-edge GNSS simulators across the Positioning Navigation and Timing technologies. In supporting this portfolio there is the opportunity to be supporting all technical and management phases of the Product Realisation Process', together with some customer engagement. Key Duties: Liaise with Sales team and customers directly to capture, question and understand requirements, ahead of proposing appropriate technical solutions in conjunction with cross-functional subject matter specialists. Development and ownership of the detailed technical content provided in the formal Tailored Solution technical proposal. Provide resource and materials costings for inclusion in the commercial response. In selected cases and dependent upon the project type, the opportunity to act as an individual contributor on the project delivery. Requirements: Knowledge of a suitable technology with a degree in GNSS, Software or RF Engineering specialty. Time spent in an individual technical contributor role. Requirements gathering and technical proposal writing knowledge, including some exposure to direct customer engagement. Familiar with (Ideally GNSS based) R&D methods; GNSS test; simulator development. Ability to grasp an understanding of new technologies and their application quickly. Good communication skills required to liaise across multi-discipline project teams and a diverse range of customers. Exposure to working on multiple projects simultaneously, with an ability to prioritise work. Comfortable working in small teams as well as on an individual basis. Preparation of process related materials (eg Bills of Materials) Excellent problem-solving skills. High level of computer literacy. To apply for this GNSS Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Job Description: Infosight Consulting is looking for IAP designer/developer for one of the challenging and exciting projects. Role: IAP designer/developer (Itential Automation Platform) Location: Reading UK Contract Position Infosight is looking for IAP designer with: Highly skilled Front End React.js developer (minimum 2 years of hands-on experience) Proficient with Node.js/Express and REST API development (Minimum 2 years of hands-on experience), Templating - XML, Yang, json Proficient with Java, HTML, SQL or Python development, MongoDB Hands on development experience on IAP(Itential Automation Platform) & Google Cloud or similar Can implement CI/CD pipelines using tools such as Bamboo, GIT (BitBucket), CodePipeline , etc Resource Domain and Element Management - IP Network Nice to have: Experience working Scrum agile methodology. Can work proficiently in Linux environments , competent at Scripting . Experience in software development, system administration, or process engineering, and must be able to work with customers and team members to define requirements and design solutions. Knowledge on implementing a Robotic Automation solution at an enterprise level WHAT INFOSIGHT OFFERS Excellent Pay Packages An Opportunity to work in Global locations at our Client Sites Flexi-Working arrangement ABOUT INFOSIGHT Infosight Consulting is a Business & IT consulting company, head quartered in United Kingdom, operating since 2006 globally, specializes in SAP, Oracle & Ramco Solutions. Infosight has been delivering outstanding value to its customers by addressing their Business Challenges with appropriate application & services.
03/05/2024
Project-based
Job Description: Infosight Consulting is looking for IAP designer/developer for one of the challenging and exciting projects. Role: IAP designer/developer (Itential Automation Platform) Location: Reading UK Contract Position Infosight is looking for IAP designer with: Highly skilled Front End React.js developer (minimum 2 years of hands-on experience) Proficient with Node.js/Express and REST API development (Minimum 2 years of hands-on experience), Templating - XML, Yang, json Proficient with Java, HTML, SQL or Python development, MongoDB Hands on development experience on IAP(Itential Automation Platform) & Google Cloud or similar Can implement CI/CD pipelines using tools such as Bamboo, GIT (BitBucket), CodePipeline , etc Resource Domain and Element Management - IP Network Nice to have: Experience working Scrum agile methodology. Can work proficiently in Linux environments , competent at Scripting . Experience in software development, system administration, or process engineering, and must be able to work with customers and team members to define requirements and design solutions. Knowledge on implementing a Robotic Automation solution at an enterprise level WHAT INFOSIGHT OFFERS Excellent Pay Packages An Opportunity to work in Global locations at our Client Sites Flexi-Working arrangement ABOUT INFOSIGHT Infosight Consulting is a Business & IT consulting company, head quartered in United Kingdom, operating since 2006 globally, specializes in SAP, Oracle & Ramco Solutions. Infosight has been delivering outstanding value to its customers by addressing their Business Challenges with appropriate application & services.
Role: Head of engineering/product lead Salary: £70,000 - £75,000 approximately really depends on skills and experience Location: Dundee Onsite 3x days per week My client is looking for a head of engineering product lead. Will be responsible for taking small physical products to market in the electronics and mechanical sector in a harsh environment. You will need to deal with the manufactures and understand how the physical product is manufactured and understand the quality standards. If you have gone to field with a product this will be a huge advantage as you may need to re-engineer a product and complete root cause analysis and DFMA. Role description and purpose The Head of Product is a critical role. Its purpose is to deliver innovation pipeline; organising, supporting, mentoring and managing a group of dedicated professionals to deliver a series of new propositions that will contribute towards our ambition to deliver integrated solutions that support smart farming and processing operations. We have several propositions in development including a biomass camera, a sea-lice treatment system, a seal detection camera, a novel pump and a waterjet bleeder. These propositions are at various stages of development but share the need to be driven through development to deliver manufacturing ready outcomes. Delivery of these outcomes is critical to our ambition to become a leading provider of value-adding solutions to customers throughout the world. The range of activity to be overseen by the Head of Product extends from verification of market need, through prototyping, to the development and documentation of specifications for manufacturing. Development leadership requires an understanding of the constituent elements of each proposition, including software, electronics, mechanical and power engineering. As well as a capable in-house development team, we have an established network of partners within its supply chain that can be tapped to introduce additional capability and capacity. This role will require significant contact with all members of the senior management team and reports to the Chief Operating Officer. Responsibilities of the role Provide leadership to the company's product team and to those within the supply chain involved in supporting the development of products Support the continuous development of the product team, ensuring that skills and capacity are aligned with the delivery objectives from this business unit Plan for and implement a process that achieves the transition of knowledge and capability from the more experienced members of the product team to new employees Actively manage the relationship between and our 3rd party manufacturing units, to ensure quality and timely delivery. Focusing on the documentation, design artifacts and quality reporting. Liaise with marketing department (and third parties as required) to gather intelligence on customer requirements and case studies Own responsibility for delivering next generation propositions Support the transfer of new proposition designs to manufacturing business unit, to include the provision of all documentation required to build and safely operate the equipment Schedule and define draft budgets for the activities of the product team Maintain an up to date understanding of the regulatory environments within which operates and ensure that new product designs do not breach regulations Promote a culture of health and safety Define OKRs relevant to the role, agree goals with the COO, and deliver Provide periodical reports to the COO on progress against OKRs Experience & Skills: Relevant degree with an engineering background and prior experience of owning the delivery of new value propositions within a fast moving SME environment Ability to effectively work on the delivery of multiple new propositions simultaneously Ability to apply business knowledge to real-world scenarios Leadership capability and effective people manager Planning and management skills Strategic thinker capable of making a meaningful contribution to the direction of the business Problem solving skills and analytical mindset Understanding of budgeting process and financial management Excellent communication skills Pro-active and self-starting Ability to assimilate detailed product knowledge and to disseminate this within the team and to third party supporters as required Presentation capability: written and verbal Technical competencies: Project & task management People management Facilitation & change management Strategic leadership How To Apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
03/05/2024
Full time
Role: Head of engineering/product lead Salary: £70,000 - £75,000 approximately really depends on skills and experience Location: Dundee Onsite 3x days per week My client is looking for a head of engineering product lead. Will be responsible for taking small physical products to market in the electronics and mechanical sector in a harsh environment. You will need to deal with the manufactures and understand how the physical product is manufactured and understand the quality standards. If you have gone to field with a product this will be a huge advantage as you may need to re-engineer a product and complete root cause analysis and DFMA. Role description and purpose The Head of Product is a critical role. Its purpose is to deliver innovation pipeline; organising, supporting, mentoring and managing a group of dedicated professionals to deliver a series of new propositions that will contribute towards our ambition to deliver integrated solutions that support smart farming and processing operations. We have several propositions in development including a biomass camera, a sea-lice treatment system, a seal detection camera, a novel pump and a waterjet bleeder. These propositions are at various stages of development but share the need to be driven through development to deliver manufacturing ready outcomes. Delivery of these outcomes is critical to our ambition to become a leading provider of value-adding solutions to customers throughout the world. The range of activity to be overseen by the Head of Product extends from verification of market need, through prototyping, to the development and documentation of specifications for manufacturing. Development leadership requires an understanding of the constituent elements of each proposition, including software, electronics, mechanical and power engineering. As well as a capable in-house development team, we have an established network of partners within its supply chain that can be tapped to introduce additional capability and capacity. This role will require significant contact with all members of the senior management team and reports to the Chief Operating Officer. Responsibilities of the role Provide leadership to the company's product team and to those within the supply chain involved in supporting the development of products Support the continuous development of the product team, ensuring that skills and capacity are aligned with the delivery objectives from this business unit Plan for and implement a process that achieves the transition of knowledge and capability from the more experienced members of the product team to new employees Actively manage the relationship between and our 3rd party manufacturing units, to ensure quality and timely delivery. Focusing on the documentation, design artifacts and quality reporting. Liaise with marketing department (and third parties as required) to gather intelligence on customer requirements and case studies Own responsibility for delivering next generation propositions Support the transfer of new proposition designs to manufacturing business unit, to include the provision of all documentation required to build and safely operate the equipment Schedule and define draft budgets for the activities of the product team Maintain an up to date understanding of the regulatory environments within which operates and ensure that new product designs do not breach regulations Promote a culture of health and safety Define OKRs relevant to the role, agree goals with the COO, and deliver Provide periodical reports to the COO on progress against OKRs Experience & Skills: Relevant degree with an engineering background and prior experience of owning the delivery of new value propositions within a fast moving SME environment Ability to effectively work on the delivery of multiple new propositions simultaneously Ability to apply business knowledge to real-world scenarios Leadership capability and effective people manager Planning and management skills Strategic thinker capable of making a meaningful contribution to the direction of the business Problem solving skills and analytical mindset Understanding of budgeting process and financial management Excellent communication skills Pro-active and self-starting Ability to assimilate detailed product knowledge and to disseminate this within the team and to third party supporters as required Presentation capability: written and verbal Technical competencies: Project & task management People management Facilitation & change management Strategic leadership How To Apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Location: Hybrid (options in Newcastle, Edinburgh, Glasgow, Leeds, Manchester, Birmingham, London) Job Summary: Join Scrumconnect, a catalyst for digital transformation impacting over 50+ million citizens, saving taxpayers over £25 million, and launching 64 services in the past 24 months. As a Senior Scala Developer, you will lead our development initiatives, champion a culture of innovation and collaboration, and help define the future of digital public services. Key Responsibilities: Lead Development Projects: Spearhead the development of high-quality applications using Scala and Play Framework, focusing on scalability and performance. Software Architecture: Direct software design and architectural discussions to craft robust and scalable solutions, integrating modern design patterns. Mentorship: Mentor junior developers, fostering an environment of learning and growth by promoting best practices in coding and process. Collaborative Engagement: Work closely with cross-functional teams to ensure seamless delivery of comprehensive software solutions. Continuous Improvement: Drive technical excellence, clean code principles, Test-Driven Development (TDD), and Behavior-Driven Development (BDD) within the team. Innovation: Play a key role in the evolution of our Agile processes and strive for a high level of automation in continuous integration and delivery. Required Qualifications: Minimum of 7 years of experience in Scala development, with a strong portfolio of projects. At least 3 years of experience specifically in Scala development. Proficiency in functional programming, modern software design patterns, asynchronous programming, and Multithreading. Skilled in: Scala, Play framework, NoSql (Mongo DB), ScalaTest/ScalaMock, Wiremock, Jenkins, Kibana, Grafana, Git, Intellij Preferred Qualifications: Tech stack is: Scala, Play framework, NoSql (Mongo DB), ScalaTest/ScalaMock, Wiremock, Jenkins, Kibana, Grafana, Git, Intellij Familiarity with Apache Kafka and RESTful web services. Strong understanding of architectural and integration design patterns. Commitment to Agile best practices. Commitment: Permanent About Scrumconnect: At Scrumconnect, we are dedicated to pioneering advancements in technology that serve public needs and lead to significant societal benefits. Our team is comprised of innovators and thinkers who are committed to redefining the possibilities of digital solutions in public services. What We Offer: A competitive salary alongside performance-based incentives. Comprehensive health and wellness benefits. Opportunities for professional growth through continuous learning and development. Flexible working arrangements to support a healthy work-life balance. A vibrant, inclusive work environment where your contributions make a visible impact. Join Us: If you are looking to make a significant impact and lead in the development of critical digital services, we encourage you to apply. Please submit your CV and a cover letter detailing your relevant experience and why you are excited about this opportunity at Scrumconnect.
03/05/2024
Full time
Location: Hybrid (options in Newcastle, Edinburgh, Glasgow, Leeds, Manchester, Birmingham, London) Job Summary: Join Scrumconnect, a catalyst for digital transformation impacting over 50+ million citizens, saving taxpayers over £25 million, and launching 64 services in the past 24 months. As a Senior Scala Developer, you will lead our development initiatives, champion a culture of innovation and collaboration, and help define the future of digital public services. Key Responsibilities: Lead Development Projects: Spearhead the development of high-quality applications using Scala and Play Framework, focusing on scalability and performance. Software Architecture: Direct software design and architectural discussions to craft robust and scalable solutions, integrating modern design patterns. Mentorship: Mentor junior developers, fostering an environment of learning and growth by promoting best practices in coding and process. Collaborative Engagement: Work closely with cross-functional teams to ensure seamless delivery of comprehensive software solutions. Continuous Improvement: Drive technical excellence, clean code principles, Test-Driven Development (TDD), and Behavior-Driven Development (BDD) within the team. Innovation: Play a key role in the evolution of our Agile processes and strive for a high level of automation in continuous integration and delivery. Required Qualifications: Minimum of 7 years of experience in Scala development, with a strong portfolio of projects. At least 3 years of experience specifically in Scala development. Proficiency in functional programming, modern software design patterns, asynchronous programming, and Multithreading. Skilled in: Scala, Play framework, NoSql (Mongo DB), ScalaTest/ScalaMock, Wiremock, Jenkins, Kibana, Grafana, Git, Intellij Preferred Qualifications: Tech stack is: Scala, Play framework, NoSql (Mongo DB), ScalaTest/ScalaMock, Wiremock, Jenkins, Kibana, Grafana, Git, Intellij Familiarity with Apache Kafka and RESTful web services. Strong understanding of architectural and integration design patterns. Commitment to Agile best practices. Commitment: Permanent About Scrumconnect: At Scrumconnect, we are dedicated to pioneering advancements in technology that serve public needs and lead to significant societal benefits. Our team is comprised of innovators and thinkers who are committed to redefining the possibilities of digital solutions in public services. What We Offer: A competitive salary alongside performance-based incentives. Comprehensive health and wellness benefits. Opportunities for professional growth through continuous learning and development. Flexible working arrangements to support a healthy work-life balance. A vibrant, inclusive work environment where your contributions make a visible impact. Join Us: If you are looking to make a significant impact and lead in the development of critical digital services, we encourage you to apply. Please submit your CV and a cover letter detailing your relevant experience and why you are excited about this opportunity at Scrumconnect.
People Source Consulting Ltd
Warwick, Warwickshire
Role: Mechanical Engineer Location: Warwick + Hybrid working Salary: £40,000 - £60,000 (depending on experience and ability) The Role Power electronics requires collaborative working between electronics engineering and mechanical engineering to ensure thermal management, production feasibility, durability, and service life. As a Mechanical Engineer, reporting to the Mechanical Engineering Team Leader, you will take responsibility for the technical delivery of one or more projects and ensure that the tasks assigned to you are completed in a timely and conscientious fashion. Continued close communication with the relevant project leads is required. You will produce SolidWorks CAD models and associated drawings of complex cooling structures with an eye to manufacturability and cost effectiveness at all times. To assess the effectiveness of these designs you will be required to conduct mechanical and thermal analysis. You will have the opportunity to integrate your own methods and ideas in order to deliver the company's technical innovations. Responsibilities Simulate, Model, and Validate Cooling Structures: Conduct detailed simulations and modelling to design cooling structures that efficiently extract heat from power electronics devices. Validate these designs through rigorous testing, considering both liquid and air cooling methods SolidWorks CAD Design and Prototyping: Utilize SolidWorks to create innovative and efficient CAD designs. Develop associated drawings and guide designs from prototype build to volume manufacturing Sealing System Design and Testing: Design and rigorously test sealing systems for optimal environmental performance on housing component Advanced Manufacturing Processes: Spearhead the development of industry-leading manufacturing processes for machined, sheet metal, and polymer parts Mechanical-Electronics Integration: Specify mechanical connections and interfaces for seamless integration with electronic components. Collaborate with electronics engineers to optimize package size and functionality PCB Component Layout and Durability: Support PCB component layout design, ensuring durability under static, dynamic, and thermal loading conditions Comprehensive Documentation: Produce thorough product documentation, including design notes, bills of materials, and user manuals Quality and Safety Adherence: Apply rigorous quality and safety standards throughout project execution. In house prototyping we build and test our products in house. Mechanical dexterity and ability is required. Customer-Centric Approach: Interpret product requirements from customer specifications and ensure strict adherence. Effectively communicate design concepts to multiple stakeholders, including direct interaction with customers Company Values and Self-Driven Problem Solving: Adhere to company policies and procedures related to testing, quality, and documentation release. Demonstrate a proactive and self-motivated approach to solving engineering challenges. Benefits: You will enjoy working as part of a close-knit team where every individual's contribution matters and where you will have the freedom to interact directly with every member of the business. Hybrid Working Unlimited Leave 5% towards each staff members pension scheme contribution Group Life Insurance (4 times basic annual salary) Employee Assistance Programme Minimum educational qualifications: Degree level education in Mechanical Engineering or related subject. Applicants with equivalent alternative qualifications or experience will be considered. Previous Experience: You will have a minimum of 2 years working within a field of mechanical design or simulation. Other advantageous skills: Knowledge of the use of simulation software - both CFD and FEA. Interest in 3D printing technologies. Good mechanical ability, eg experience of machine shops, product assembly Experience of SolidWorks CAD software Working understanding of electronics Familiarity with high voltage (eg electric vehicle) working Design for manufacture and assembly How to apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
02/05/2024
Full time
Role: Mechanical Engineer Location: Warwick + Hybrid working Salary: £40,000 - £60,000 (depending on experience and ability) The Role Power electronics requires collaborative working between electronics engineering and mechanical engineering to ensure thermal management, production feasibility, durability, and service life. As a Mechanical Engineer, reporting to the Mechanical Engineering Team Leader, you will take responsibility for the technical delivery of one or more projects and ensure that the tasks assigned to you are completed in a timely and conscientious fashion. Continued close communication with the relevant project leads is required. You will produce SolidWorks CAD models and associated drawings of complex cooling structures with an eye to manufacturability and cost effectiveness at all times. To assess the effectiveness of these designs you will be required to conduct mechanical and thermal analysis. You will have the opportunity to integrate your own methods and ideas in order to deliver the company's technical innovations. Responsibilities Simulate, Model, and Validate Cooling Structures: Conduct detailed simulations and modelling to design cooling structures that efficiently extract heat from power electronics devices. Validate these designs through rigorous testing, considering both liquid and air cooling methods SolidWorks CAD Design and Prototyping: Utilize SolidWorks to create innovative and efficient CAD designs. Develop associated drawings and guide designs from prototype build to volume manufacturing Sealing System Design and Testing: Design and rigorously test sealing systems for optimal environmental performance on housing component Advanced Manufacturing Processes: Spearhead the development of industry-leading manufacturing processes for machined, sheet metal, and polymer parts Mechanical-Electronics Integration: Specify mechanical connections and interfaces for seamless integration with electronic components. Collaborate with electronics engineers to optimize package size and functionality PCB Component Layout and Durability: Support PCB component layout design, ensuring durability under static, dynamic, and thermal loading conditions Comprehensive Documentation: Produce thorough product documentation, including design notes, bills of materials, and user manuals Quality and Safety Adherence: Apply rigorous quality and safety standards throughout project execution. In house prototyping we build and test our products in house. Mechanical dexterity and ability is required. Customer-Centric Approach: Interpret product requirements from customer specifications and ensure strict adherence. Effectively communicate design concepts to multiple stakeholders, including direct interaction with customers Company Values and Self-Driven Problem Solving: Adhere to company policies and procedures related to testing, quality, and documentation release. Demonstrate a proactive and self-motivated approach to solving engineering challenges. Benefits: You will enjoy working as part of a close-knit team where every individual's contribution matters and where you will have the freedom to interact directly with every member of the business. Hybrid Working Unlimited Leave 5% towards each staff members pension scheme contribution Group Life Insurance (4 times basic annual salary) Employee Assistance Programme Minimum educational qualifications: Degree level education in Mechanical Engineering or related subject. Applicants with equivalent alternative qualifications or experience will be considered. Previous Experience: You will have a minimum of 2 years working within a field of mechanical design or simulation. Other advantageous skills: Knowledge of the use of simulation software - both CFD and FEA. Interest in 3D printing technologies. Good mechanical ability, eg experience of machine shops, product assembly Experience of SolidWorks CAD software Working understanding of electronics Familiarity with high voltage (eg electric vehicle) working Design for manufacture and assembly How to apply? Please send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
UI/UX DESIGNER CONTRACT LOCATION: CHICAGO, IL, Must be onsite 5 days/week DURATION - ONE YEAR MINIMUM SELLING POINTS: User experience design and user interface Figma, sketch or Adobe creative suite and currently working with HTML CSS design systems. Must be able to create a design system from scratch. Must have at least 6 years of UI/UX professional design experience. L ooking for highly motivated and talented UI/UX consultants to work on site with our fast-paced application development team in its Chicago Loop headquarters. As a UI/UX consultant, you will assist a group of top-calibre business analysts and developers responsible for doing test-driven development of software components using Blazor/C# in multiple layers including the user interface, business domain, and data access. Job Qualifications Hands-on proficiency in Figma, Sketch, or Adobe Creative Suite Proficiency in HTML, CSS (SCSS), and JavaScript In-Depth understanding of CSS Design Systems. Must be able to create a Design System from scratch. Experience investigating user experience design requirements Experience developing and conceptualizing a comprehensive UI/UX design strategy Proficiency in Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes. Working knowledge of Microsoft Blazor preferred Overhaul the Legacy CBA application (AngularJS & Bootstrap) design using modern design concepts and human computer interaction (HCI) principles. Simplify the workflows followed by Basic, Advanced & Admin users. Review the more modern CBA Admin Dashboard application (Blazor). Convert designs into working prototypes using HTML, CSS & JavaScript (if applicable) Test Runner Redesign of the entire application,and simplify difference user experience flows based on user requirements. Help simplify the UX flows for this data intensive application. Convert all designs into working prototypes using HTML, CSS & JavaScript (if applicable) Web Platform Review the Legacy and new UI/UX of the Events & Notifications feature, and create designs & mockups to overcome any identified limitations.
01/05/2024
UI/UX DESIGNER CONTRACT LOCATION: CHICAGO, IL, Must be onsite 5 days/week DURATION - ONE YEAR MINIMUM SELLING POINTS: User experience design and user interface Figma, sketch or Adobe creative suite and currently working with HTML CSS design systems. Must be able to create a design system from scratch. Must have at least 6 years of UI/UX professional design experience. L ooking for highly motivated and talented UI/UX consultants to work on site with our fast-paced application development team in its Chicago Loop headquarters. As a UI/UX consultant, you will assist a group of top-calibre business analysts and developers responsible for doing test-driven development of software components using Blazor/C# in multiple layers including the user interface, business domain, and data access. Job Qualifications Hands-on proficiency in Figma, Sketch, or Adobe Creative Suite Proficiency in HTML, CSS (SCSS), and JavaScript In-Depth understanding of CSS Design Systems. Must be able to create a Design System from scratch. Experience investigating user experience design requirements Experience developing and conceptualizing a comprehensive UI/UX design strategy Proficiency in Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes. Working knowledge of Microsoft Blazor preferred Overhaul the Legacy CBA application (AngularJS & Bootstrap) design using modern design concepts and human computer interaction (HCI) principles. Simplify the workflows followed by Basic, Advanced & Admin users. Review the more modern CBA Admin Dashboard application (Blazor). Convert designs into working prototypes using HTML, CSS & JavaScript (if applicable) Test Runner Redesign of the entire application,and simplify difference user experience flows based on user requirements. Help simplify the UX flows for this data intensive application. Convert all designs into working prototypes using HTML, CSS & JavaScript (if applicable) Web Platform Review the Legacy and new UI/UX of the Events & Notifications feature, and create designs & mockups to overcome any identified limitations.
IT Security Manager - Security Operations - Birmingham Hybrid working available Salary £40,000-50,950 %Flex fund IT Security Manager required for a leading client based in Birmingham. My client is currently seeking a IT Security Manager to come on board to effectively manage the Security Operations pillar within the IT Security, Compliance & Identity function. This involves overseeing Security technology and Security Operations Centre management. Additionally, this position involves leveraging and applying understanding of business objectives and security needs to identify issues and establish priorities for both internal and external delivery teams. Key skills and responsibilities, * Strong IT Security Management experience * Direct the Security Operations pillar, devising and implementing requirements, techniques, and resources to enhance value and mitigate risks across proactive monitoring, incident response, threat management, and vulnerability management, among other areas. * Spearhead the development and upkeep of Security Operations policies, standards, procedures, and documentation, including playbooks and guidelines. * Oversee the implementation and adherence to security operations procedures, assessing real and potential security breaches, and ensuring thorough investigation and resolution. * Familiarity with IT Service Frameworks, methodologies, and industry best practices such as ITIL v4 and Agile. * Understanding of day-to-day operations and industry best practices within a Security Operations Center (SOC). * Proficiency in technical security aspects including Firewalls, network security groups, and access controls. * Demonstrated leadership in guiding teams through the entire IT service life cycle, fortifying security measures, and advancing capabilities through continual service enhancement. * Track record of leading response efforts during live cyber incidents and executing remediation strategies. * Experience collaborating with supplier teams to facilitate managed services delivery for enhancements. * Broad experience spanning the entire spectrum of IT security, encompassing software, Servers, infrastructure, and networks. * Proven expertise in designing and implementing secure systems, and leading reviews of intricate security matters when necessary. Interested? Please submit your updated CV to Emma Siwicki at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy
01/05/2024
Full time
IT Security Manager - Security Operations - Birmingham Hybrid working available Salary £40,000-50,950 %Flex fund IT Security Manager required for a leading client based in Birmingham. My client is currently seeking a IT Security Manager to come on board to effectively manage the Security Operations pillar within the IT Security, Compliance & Identity function. This involves overseeing Security technology and Security Operations Centre management. Additionally, this position involves leveraging and applying understanding of business objectives and security needs to identify issues and establish priorities for both internal and external delivery teams. Key skills and responsibilities, * Strong IT Security Management experience * Direct the Security Operations pillar, devising and implementing requirements, techniques, and resources to enhance value and mitigate risks across proactive monitoring, incident response, threat management, and vulnerability management, among other areas. * Spearhead the development and upkeep of Security Operations policies, standards, procedures, and documentation, including playbooks and guidelines. * Oversee the implementation and adherence to security operations procedures, assessing real and potential security breaches, and ensuring thorough investigation and resolution. * Familiarity with IT Service Frameworks, methodologies, and industry best practices such as ITIL v4 and Agile. * Understanding of day-to-day operations and industry best practices within a Security Operations Center (SOC). * Proficiency in technical security aspects including Firewalls, network security groups, and access controls. * Demonstrated leadership in guiding teams through the entire IT service life cycle, fortifying security measures, and advancing capabilities through continual service enhancement. * Track record of leading response efforts during live cyber incidents and executing remediation strategies. * Experience collaborating with supplier teams to facilitate managed services delivery for enhancements. * Broad experience spanning the entire spectrum of IT security, encompassing software, Servers, infrastructure, and networks. * Proven expertise in designing and implementing secure systems, and leading reviews of intricate security matters when necessary. Interested? Please submit your updated CV to Emma Siwicki at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy