Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation and secure storage of mission-critical data. Key Responsibilities: Work closely in partnership with large system integrators to support the delivery of the programs that align to data strategy. Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred Analyses data requirements and provides data analysis techniques, and applies Datamodelling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (eg Scrum, SAFe) and tools (ie Jira, Azure DevOps) Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. Experience with mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus *All salaries are subject to experience* For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. Arc is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
21/05/2024
Full time
Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation and secure storage of mission-critical data. Key Responsibilities: Work closely in partnership with large system integrators to support the delivery of the programs that align to data strategy. Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred Analyses data requirements and provides data analysis techniques, and applies Datamodelling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (eg Scrum, SAFe) and tools (ie Jira, Azure DevOps) Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. Experience with mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus *All salaries are subject to experience* For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. Arc is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
21/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator. Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
20/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator. Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
20/05/2024
Full time
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
Senior Full Stack Developer (.Net/JavaScript/Azure) About Methods Since our establishment in 1990, Methods has worked with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to deliver value to our customers through effective application of digital thinking and technology change. Methods was acquired by ALTEN Plc (a French multi-national Engineering and IT company) in 2022. Our strategy is to deliver profitable, sustainable growth; expanding ALTEN's Enterprise IT Service capabilities in the UK for both public and private sector customers. Our TDSE (Technical Delivery and Software Engineering) portfolio is a key part of Methods' growth strategy, focusing on software and cloud engineering, consultancy, and technical architecture. Our aim is to deliver value by delivering high-quality solutions, built on a DevOps culture and continuous delivery principles to support digital, data and technology transformation. The business has grown rapidly (from startup in 2019 to just under £30m turnover in 2022-3) and targets profitable growth over the next 5 years as part of ALTEN's global expansion strategy. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share knowledge and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Description Methods is seeking a Senior Developer to join our growing software engineering team. As a Senior Developer at Methods you will be expected to work on client projects delivering high quality software. You will be expected to feed in to design decisions, help promote best working practices, carry out code reviews, take part in sprint ceremonies and be part of meetings with client stakeholders as required. Away from project work you will be given time for personal development and will be expected to keep improving existing skills and learning new technologies. You will also be asked at times to provide input into bids for new work. Our core technology stack currently includes Java, Node, Python, Go and C#; but we believe in using the best technology for each situation, so we are always trying new tools and learning new languages. You will get to work on a wide variety of projects and learn and work with lots of different technologies. Responsibilities Designing and developing high-quality web applications Collaborating with cross-functional teams to gather requirements and define project scopes Implementing innovative solutions to meet project objectives and deliverables Working with Front End developers to integrate user interfaces with Back End functionalities Conducting code reviews and ensuring code quality and best practices Troubleshooting and debugging applications to identify and fix issues Sharing knowledge and providing support to other developers Keeping up-to-date with the latest industry trends and technologies Assisting with writing bids Skills Extensive C#/.Net development experience (ASP .NET Core with MVC) Experience with the Azure cloud platform (Functions, Service Bus, SQL/CosmosDB, AKS) Experience with Front End technologies such as HTML, CSS, and JavaScript Experience working in multi-disciplinary teams delivering user centred services Experience developing secure web services and RESTful APIs Experience of software testing best practices (TDD, BDD) Familiarity with relational and non-relational databases Experience with continuous integration and deployment Knowledge of web accessibility and associated tooling Excellent communication and problem-solving skills Strong attention to detail and ability to prioritise tasks This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. SC Roles Have you lived in the UK for the last 5 years? Have you travelled outside of the UK for more than 28 days in the last 12 months? Have you had any extended periods of travel over 3 months in the last 5 years? Do you have dual nationality or any former nationalities? Are you willing to go through the vetting process for SC? Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring and thought-provoking leadership A supportive and collaborative environment Development - access to LinkedIn Learning, a management development programme, and training Wellness - 24/7 confidential employee assistance programme Flexible Working - including home working and part time Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus - based on company and individual performance Life Assurance - of 4 times base salary Private Medical Insurance - which is non-contributory (spouse and dependents included) Worldwide Travel Insurance - which is non-contributory (spouse and dependents included) Enhanced Maternity and Paternity Pay Travel - season ticket loan, cycle to work scheme For a full list of benefits please visit our website.
20/05/2024
Full time
Senior Full Stack Developer (.Net/JavaScript/Azure) About Methods Since our establishment in 1990, Methods has worked with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to deliver value to our customers through effective application of digital thinking and technology change. Methods was acquired by ALTEN Plc (a French multi-national Engineering and IT company) in 2022. Our strategy is to deliver profitable, sustainable growth; expanding ALTEN's Enterprise IT Service capabilities in the UK for both public and private sector customers. Our TDSE (Technical Delivery and Software Engineering) portfolio is a key part of Methods' growth strategy, focusing on software and cloud engineering, consultancy, and technical architecture. Our aim is to deliver value by delivering high-quality solutions, built on a DevOps culture and continuous delivery principles to support digital, data and technology transformation. The business has grown rapidly (from startup in 2019 to just under £30m turnover in 2022-3) and targets profitable growth over the next 5 years as part of ALTEN's global expansion strategy. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share knowledge and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Description Methods is seeking a Senior Developer to join our growing software engineering team. As a Senior Developer at Methods you will be expected to work on client projects delivering high quality software. You will be expected to feed in to design decisions, help promote best working practices, carry out code reviews, take part in sprint ceremonies and be part of meetings with client stakeholders as required. Away from project work you will be given time for personal development and will be expected to keep improving existing skills and learning new technologies. You will also be asked at times to provide input into bids for new work. Our core technology stack currently includes Java, Node, Python, Go and C#; but we believe in using the best technology for each situation, so we are always trying new tools and learning new languages. You will get to work on a wide variety of projects and learn and work with lots of different technologies. Responsibilities Designing and developing high-quality web applications Collaborating with cross-functional teams to gather requirements and define project scopes Implementing innovative solutions to meet project objectives and deliverables Working with Front End developers to integrate user interfaces with Back End functionalities Conducting code reviews and ensuring code quality and best practices Troubleshooting and debugging applications to identify and fix issues Sharing knowledge and providing support to other developers Keeping up-to-date with the latest industry trends and technologies Assisting with writing bids Skills Extensive C#/.Net development experience (ASP .NET Core with MVC) Experience with the Azure cloud platform (Functions, Service Bus, SQL/CosmosDB, AKS) Experience with Front End technologies such as HTML, CSS, and JavaScript Experience working in multi-disciplinary teams delivering user centred services Experience developing secure web services and RESTful APIs Experience of software testing best practices (TDD, BDD) Familiarity with relational and non-relational databases Experience with continuous integration and deployment Knowledge of web accessibility and associated tooling Excellent communication and problem-solving skills Strong attention to detail and ability to prioritise tasks This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. SC Roles Have you lived in the UK for the last 5 years? Have you travelled outside of the UK for more than 28 days in the last 12 months? Have you had any extended periods of travel over 3 months in the last 5 years? Do you have dual nationality or any former nationalities? Are you willing to go through the vetting process for SC? Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring and thought-provoking leadership A supportive and collaborative environment Development - access to LinkedIn Learning, a management development programme, and training Wellness - 24/7 confidential employee assistance programme Flexible Working - including home working and part time Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus - based on company and individual performance Life Assurance - of 4 times base salary Private Medical Insurance - which is non-contributory (spouse and dependents included) Worldwide Travel Insurance - which is non-contributory (spouse and dependents included) Enhanced Maternity and Paternity Pay Travel - season ticket loan, cycle to work scheme For a full list of benefits please visit our website.
Lead Network Automation Engineer Reading - Hybrid £85,000 + car allowance, bonus, private healthcare & strong pension A telecommunications giant are seeking a Lead Network Automation Engineer to play a pivotal role in the development and delivery of an enormous company-wide reorganisation and digital transformation. This role encompasses diverse responsibilities, including acting as an SME within teams for network automation. The Lead Network Automation Engineer will lead the Digital Networks Platform team to build and manage mission-critical automation platforms. You will need good knowledge of cloud platforms (Azure, AWS, GCP) and Cisco NSO or Itential Automation platform. In addition to strong technical skills, exceptional problem-solving abilities, and an eye for detail, effective communication will be paramount for collaborating with stakeholders and mentoring team members. Key Skills Commercial experience with cloud platforms (Azure, AWS, GCP) Cisco NSO/Itential Automation Platform OSS (Operational Support Systems) Telecommunications industry experience Product journey management & alignment Background in DevOps or architecture is an advantage If you are interested in the role please apply!.*OSS or large teleco experience is required. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
20/05/2024
Full time
Lead Network Automation Engineer Reading - Hybrid £85,000 + car allowance, bonus, private healthcare & strong pension A telecommunications giant are seeking a Lead Network Automation Engineer to play a pivotal role in the development and delivery of an enormous company-wide reorganisation and digital transformation. This role encompasses diverse responsibilities, including acting as an SME within teams for network automation. The Lead Network Automation Engineer will lead the Digital Networks Platform team to build and manage mission-critical automation platforms. You will need good knowledge of cloud platforms (Azure, AWS, GCP) and Cisco NSO or Itential Automation platform. In addition to strong technical skills, exceptional problem-solving abilities, and an eye for detail, effective communication will be paramount for collaborating with stakeholders and mentoring team members. Key Skills Commercial experience with cloud platforms (Azure, AWS, GCP) Cisco NSO/Itential Automation Platform OSS (Operational Support Systems) Telecommunications industry experience Product journey management & alignment Background in DevOps or architecture is an advantage If you are interested in the role please apply!.*OSS or large teleco experience is required. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Power Platform Developer Midlands (Hybrid) £42,000 - £45,000 + 15% Bonus VIQU have partnered with a leading engineering business based in the Midlands. They are looking to grow their platform development function by adding a Dynamics 365 Developer. Main responsibilities of this position include, to assist the design, development and maintenance of Dynamics 365 solutions using Power Platform, Power Apps, Power Automate, .NET and Cloud Technologies. Responsibilities: Work with the team to develop Dynamics and Power Platform Estate. Support development using the Microsoft .NET Platform. Support the integration of existing core systems with the D365 Platform. Provide support and root cause analysis with other in the group where necessary. Technical Skills: 2 years of development experience on Dynamics 365. Knowledge of building and deploying solutions on the Dynamics and Power Platform. Working knowledge of Power Apps such as Canvas Apps and Model Driven Apps. Knowledge of IT infrastructure and ITIL Processes. Worked on projects using Agile and DevOps methodologies. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
17/05/2024
Full time
Power Platform Developer Midlands (Hybrid) £42,000 - £45,000 + 15% Bonus VIQU have partnered with a leading engineering business based in the Midlands. They are looking to grow their platform development function by adding a Dynamics 365 Developer. Main responsibilities of this position include, to assist the design, development and maintenance of Dynamics 365 solutions using Power Platform, Power Apps, Power Automate, .NET and Cloud Technologies. Responsibilities: Work with the team to develop Dynamics and Power Platform Estate. Support development using the Microsoft .NET Platform. Support the integration of existing core systems with the D365 Platform. Provide support and root cause analysis with other in the group where necessary. Technical Skills: 2 years of development experience on Dynamics 365. Knowledge of building and deploying solutions on the Dynamics and Power Platform. Working knowledge of Power Apps such as Canvas Apps and Model Driven Apps. Knowledge of IT infrastructure and ITIL Processes. Worked on projects using Agile and DevOps methodologies. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
Microsoft Cloud Native Engineer UK Wide £65,000 - £75,000 Security Clearance is required or at least have eligibility for this! A leading consultancy organisation is currently looking to recruit x5 Microsoft Cloud Native Engineer who will specialise in agile custom software development and integration at an enterprise scale. You will be working on exciting IT projects, all built on Microsoft technology built on Azure working to deliver the most innovative solutions using the Microsoft stack and a variety of Open Source to achieve the best possible outcome for clients. Your role Design and document technical Azure Cloud Native solutions that incorporate recommended security practices and assisting with architectural decisions. Be a software engineer and subject matter expert on delivery engagements for clients with responsibility for the specification, development, testing and implementation of complex cloud native applications build on Azure. Help shape and implement delivery best practices across projects eg branching strategy, testing methodology, CI/CD and pipelines. Support services before they go live through activities such as system design consulting, developing software platforms, frameworks, automated testing, deployment and release pipelines, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, errors, saturation, traffic and overall system health. Your skills and experience Great software engineering practices including knowledge and the application of SOLID principles, software engineering design patterns, Test Driven Development as well as cloud design patterns. Experience developing resilient and scaleable APIs and working on integration led transformations and platforms. Expertise in end to end Azure native solution development and delivery with a focus on Azure PaaS services. Experience of .NET and related technologies (C#, .NET 6+, MVC, Entity Framework, Blazor, SQL Backend etc.) Experience using Azure DevOps, experience of Continuous Integration (CI) and Continuous Delivery (CD), ideally using GIT, ARM templates and Azure DevOps. Experience of working in collaborative teams and working in an agile manner in a commercial environment.
17/05/2024
Full time
Microsoft Cloud Native Engineer UK Wide £65,000 - £75,000 Security Clearance is required or at least have eligibility for this! A leading consultancy organisation is currently looking to recruit x5 Microsoft Cloud Native Engineer who will specialise in agile custom software development and integration at an enterprise scale. You will be working on exciting IT projects, all built on Microsoft technology built on Azure working to deliver the most innovative solutions using the Microsoft stack and a variety of Open Source to achieve the best possible outcome for clients. Your role Design and document technical Azure Cloud Native solutions that incorporate recommended security practices and assisting with architectural decisions. Be a software engineer and subject matter expert on delivery engagements for clients with responsibility for the specification, development, testing and implementation of complex cloud native applications build on Azure. Help shape and implement delivery best practices across projects eg branching strategy, testing methodology, CI/CD and pipelines. Support services before they go live through activities such as system design consulting, developing software platforms, frameworks, automated testing, deployment and release pipelines, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, errors, saturation, traffic and overall system health. Your skills and experience Great software engineering practices including knowledge and the application of SOLID principles, software engineering design patterns, Test Driven Development as well as cloud design patterns. Experience developing resilient and scaleable APIs and working on integration led transformations and platforms. Expertise in end to end Azure native solution development and delivery with a focus on Azure PaaS services. Experience of .NET and related technologies (C#, .NET 6+, MVC, Entity Framework, Blazor, SQL Backend etc.) Experience using Azure DevOps, experience of Continuous Integration (CI) and Continuous Delivery (CD), ideally using GIT, ARM templates and Azure DevOps. Experience of working in collaborative teams and working in an agile manner in a commercial environment.
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
17/05/2024
Full time
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
Power Platform Technical Consultant Hybrid £60,000-75,000 + perm benefits A leading consultancy organisation is currently looking to recruit Power Platform Consultants who can bring a wealth of knowledge across the whole of the Power Platform to projects and end clients. Utilising both technical and functional skills to build applications, advise on solutions, lead discussions and design sessions and drive adoption of the power platform. Due to the nature of the end clients, we require candidates to be eligible to obtain SC Clearance Your role Identify user needs and create great relationships with project stakeholders. Lead the design, development, and implementation of Power Platform solutions to meet user needs within a delivery team. Be a technical specialist, producing high quality applications, both model driven and canvas, as well as enterprise scale Power Automate Cloud Flow solutions. Build solutions as part of an agile team using declarative tools, backed by Microsoft and using our own technical accelerators. You will be part of teams that follow software engineering best practices, and you will have a say in the design of a solution. Your profile Hands on experience in the setup of Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Hands on experience with Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. You have a passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus on delivering positive outcomes to our clients, whatever their scale. Experience delivering according to an agile methodology, working in collaborative teams in a commercial environment. An understanding of the broader Microsoft technology stack and an ability to leverage it to create powerful solutions. A desire to continually develop your knowledge of new functionality in the Microsoft technology stack, shown by recent exams and certifications.
17/05/2024
Full time
Power Platform Technical Consultant Hybrid £60,000-75,000 + perm benefits A leading consultancy organisation is currently looking to recruit Power Platform Consultants who can bring a wealth of knowledge across the whole of the Power Platform to projects and end clients. Utilising both technical and functional skills to build applications, advise on solutions, lead discussions and design sessions and drive adoption of the power platform. Due to the nature of the end clients, we require candidates to be eligible to obtain SC Clearance Your role Identify user needs and create great relationships with project stakeholders. Lead the design, development, and implementation of Power Platform solutions to meet user needs within a delivery team. Be a technical specialist, producing high quality applications, both model driven and canvas, as well as enterprise scale Power Automate Cloud Flow solutions. Build solutions as part of an agile team using declarative tools, backed by Microsoft and using our own technical accelerators. You will be part of teams that follow software engineering best practices, and you will have a say in the design of a solution. Your profile Hands on experience in the setup of Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Hands on experience with Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. You have a passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus on delivering positive outcomes to our clients, whatever their scale. Experience delivering according to an agile methodology, working in collaborative teams in a commercial environment. An understanding of the broader Microsoft technology stack and an ability to leverage it to create powerful solutions. A desire to continually develop your knowledge of new functionality in the Microsoft technology stack, shown by recent exams and certifications.
Solution Architect - Cloud Infrastructure vacancy for our Aargau based client in the technology sector. Your tasks: Developing and optimizing Google and Azure infrastructure architecture to support cloud-based IT solutions within the company Establishing organization-wide cloud standards in collaboration with local IS delivery teams and partner vendors Driving initiatives for evaluating and scaling cloud-native services and solutions Accelerating implementation of automation around cloud infrastructure to enhance delivery processes and support DevOps-based service models Supporting definition and maintenance of architectural roadmaps for cloud platforms and related technologies Providing technical knowledge and insights to support business and IT projects, ensuring successful deployment and commercial viability Your experience/knowledge: 10+ years of IT experience, including 8+ years in Infrastructure Solution Architecture, with 4+ years specifically in cloud-related roles Proficient in Google Cloud Platform GCP and Microsoft Azure, with hands-on experience in architecture design, deployment, and management of cloud-based solutions Strong ability to design and implement infrastructure solutions aligned with business requirements, translating them into effective and cost-efficient IT solutions Solid understanding of networking concepts and security principles in cloud environments, including WAN, LAN, DNS, Firewalls, and load balancers Experienced in implementing automation strategies for cloud infrastructure, leveraging DevOps practices to enhance deployment speed and reliability Degree in Computer Science, Engineering, Business Management, or related field; Google and Azure Cloud certifications is a plus Your soft skills: Excellent communication skills, essential for collaborating with stakeholders and presenting technical ideas clearly Proven leadership skills to drive initiatives, resolve conflicts, and motivate teams towards successful cloud adoption Location: Aargau, Switzerland Sector: Technology Start: ASAP Duration: 06MM+ Ref .Nr.: BH21572 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
17/05/2024
Project-based
Solution Architect - Cloud Infrastructure vacancy for our Aargau based client in the technology sector. Your tasks: Developing and optimizing Google and Azure infrastructure architecture to support cloud-based IT solutions within the company Establishing organization-wide cloud standards in collaboration with local IS delivery teams and partner vendors Driving initiatives for evaluating and scaling cloud-native services and solutions Accelerating implementation of automation around cloud infrastructure to enhance delivery processes and support DevOps-based service models Supporting definition and maintenance of architectural roadmaps for cloud platforms and related technologies Providing technical knowledge and insights to support business and IT projects, ensuring successful deployment and commercial viability Your experience/knowledge: 10+ years of IT experience, including 8+ years in Infrastructure Solution Architecture, with 4+ years specifically in cloud-related roles Proficient in Google Cloud Platform GCP and Microsoft Azure, with hands-on experience in architecture design, deployment, and management of cloud-based solutions Strong ability to design and implement infrastructure solutions aligned with business requirements, translating them into effective and cost-efficient IT solutions Solid understanding of networking concepts and security principles in cloud environments, including WAN, LAN, DNS, Firewalls, and load balancers Experienced in implementing automation strategies for cloud infrastructure, leveraging DevOps practices to enhance deployment speed and reliability Degree in Computer Science, Engineering, Business Management, or related field; Google and Azure Cloud certifications is a plus Your soft skills: Excellent communication skills, essential for collaborating with stakeholders and presenting technical ideas clearly Proven leadership skills to drive initiatives, resolve conflicts, and motivate teams towards successful cloud adoption Location: Aargau, Switzerland Sector: Technology Start: ASAP Duration: 06MM+ Ref .Nr.: BH21572 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
A Senior Developer (cloud platform) is required for our client based in Doncaster. This is mainly a remote position with a monthly visit to the office. Our client is looking for a Senior Developer or someone who is ready to take the next step in their career. The postholder will be responsible for the design, development and maintenance of digital solutions with a focus around CRM Netcalls low code platform (process, forms and workflows), Web/CMS integration, Back Office application integrations. The candidate will have experience in .NET, Cloud platforms, ICT operational frameworks and development life cycles such as Azure, ITIL, Azure DevOps & C# as well as examples of successful outcomes/deliveries using the AGILE methodology. Experience using Netcall's low code platform will be advantageous. This platform is designed to help organisations rapidly build and deploy custom applications, and the ideal candidate will have an understanding of its capabilities and how to leverage them to deliver effective digital solutions. Core responsibilities and duties will include: Designing, developing and maintaining, sustainable CRM processes, forms, workflows and Web integration, which innovate and add value, improving the services we provide. Responsibility for release management processes, ensuring any development and/or changes made within the digital services are released into the corporate production environments in a safe, controlled and secure way. Responsibility for defect resolution, ensuring development and changes made with in the digital services are appropriately tested to ensure they are functionally correct, meet requirements and do not break, damage or degrade the wider digital platform. Working with strategic leads to maintain an innovative technical platform, ensuring future technology and approaches are planned in line with the Digital Transformation agenda move forward. In return for your hard work and dedication, our client offers the chance to be part of a great team and have access to a variety of attractive employee benefits including competitive leave entitlement, local government pension scheme and access to a range of staff discount and flexible benefits schemes.
16/05/2024
Full time
A Senior Developer (cloud platform) is required for our client based in Doncaster. This is mainly a remote position with a monthly visit to the office. Our client is looking for a Senior Developer or someone who is ready to take the next step in their career. The postholder will be responsible for the design, development and maintenance of digital solutions with a focus around CRM Netcalls low code platform (process, forms and workflows), Web/CMS integration, Back Office application integrations. The candidate will have experience in .NET, Cloud platforms, ICT operational frameworks and development life cycles such as Azure, ITIL, Azure DevOps & C# as well as examples of successful outcomes/deliveries using the AGILE methodology. Experience using Netcall's low code platform will be advantageous. This platform is designed to help organisations rapidly build and deploy custom applications, and the ideal candidate will have an understanding of its capabilities and how to leverage them to deliver effective digital solutions. Core responsibilities and duties will include: Designing, developing and maintaining, sustainable CRM processes, forms, workflows and Web integration, which innovate and add value, improving the services we provide. Responsibility for release management processes, ensuring any development and/or changes made within the digital services are released into the corporate production environments in a safe, controlled and secure way. Responsibility for defect resolution, ensuring development and changes made with in the digital services are appropriately tested to ensure they are functionally correct, meet requirements and do not break, damage or degrade the wider digital platform. Working with strategic leads to maintain an innovative technical platform, ensuring future technology and approaches are planned in line with the Digital Transformation agenda move forward. In return for your hard work and dedication, our client offers the chance to be part of a great team and have access to a variety of attractive employee benefits including competitive leave entitlement, local government pension scheme and access to a range of staff discount and flexible benefits schemes.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus