Outstanding permanent opportunity to join this global enterprise and famous brand within the magic circle' of the legal sector. From a technology perspective, this organisation is a leader in its domain, significantly investing in AI, Machine Learning and automation technologies within an established cloud native (Azure), DevOps and Agile environment. We're looking for a hands-on Senior Developer or Senior Engineer to work with Product Owners, Architecture, Engineering Leads and Executive Technology Stakeholders to shape and deliver disruptive technology solutions. You'll require the following skills and experience: Prior experience operating in senior development & engineering positions within large technology teams in global, enterprise scale settings Extensive experience of C# and the .NET ecosystem within Azure environments Strong Front End skills inc. Javascript, Typescript, HTML and CSS Knowledge of software architecture, patterns, testing and debugging Experience authoring and maintain CI/CD pipelines Experience with a variety of database technologies (inc. SQL Server) Experience of modern API development eg Swagger Experience of UI development with Blazor Basic exposure to Artificial Intelligence and Machine Learning technologies with a desire to develops skills in this field In depth knowledge of scalable, secure & high performance cloud engineering platforms Exposure to Python, OpenAI and Infrastructure as Code beneficial but not essential Extensive experience in Agile, product centric engineering environments Outstanding communications and stakeholder engagement & management skills, proven in large corporate settings An entrepreneurial thinker with a growth mindset £80k-£100k + bonus + excellent benefits. London & 70% remote
13/05/2024
Full time
Outstanding permanent opportunity to join this global enterprise and famous brand within the magic circle' of the legal sector. From a technology perspective, this organisation is a leader in its domain, significantly investing in AI, Machine Learning and automation technologies within an established cloud native (Azure), DevOps and Agile environment. We're looking for a hands-on Senior Developer or Senior Engineer to work with Product Owners, Architecture, Engineering Leads and Executive Technology Stakeholders to shape and deliver disruptive technology solutions. You'll require the following skills and experience: Prior experience operating in senior development & engineering positions within large technology teams in global, enterprise scale settings Extensive experience of C# and the .NET ecosystem within Azure environments Strong Front End skills inc. Javascript, Typescript, HTML and CSS Knowledge of software architecture, patterns, testing and debugging Experience authoring and maintain CI/CD pipelines Experience with a variety of database technologies (inc. SQL Server) Experience of modern API development eg Swagger Experience of UI development with Blazor Basic exposure to Artificial Intelligence and Machine Learning technologies with a desire to develops skills in this field In depth knowledge of scalable, secure & high performance cloud engineering platforms Exposure to Python, OpenAI and Infrastructure as Code beneficial but not essential Extensive experience in Agile, product centric engineering environments Outstanding communications and stakeholder engagement & management skills, proven in large corporate settings An entrepreneurial thinker with a growth mindset £80k-£100k + bonus + excellent benefits. London & 70% remote
Spectrum IT Recruitment (South) Ltd
Bracknell, Berkshire
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (see below) or call. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
13/05/2024
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (see below) or call. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £170k + 25% Bonus + 10% Pension
13/05/2024
Full time
Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £170k + 25% Bonus + 10% Pension
Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Buy-side asset management (hedge fund, asset manager, investment management) Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Buy-side asset management (hedge fund, asset manager, investment management) Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £180k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £180k + 20% Guaranteed Bonus + 10% Pension
Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Software Engineer Team Lead/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Software Engineer Team Lead (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £170k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £170k + 20% Guaranteed Bonus + 10% Pension
Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Python Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £120k - £150k + 20% Guaranteed Bonus + 10% Pension
Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £170k + 20% Guaranteed Bonus + 10% Pension
13/05/2024
Full time
Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You MUST have the following: Advanced ability as a Java Solutions Architect/Principal Engineer/Engineering Manager Leadership experience: you must have led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Java Solutions Architect (Architecture Programmer Developer Java Python Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my asset management client in London. You will join a relatively new department that is responsible for the data used across the Front Office. The data is sourced from a variety of external vendors and internal departments and held in an AWS data lake, although this is being migrated to a data mesh architecture. They are working heavily with AWS, Glue, Dremio, Snowflake, Python and Java. You will lead a team of 5 engineers and collaborate with a product manager who will be assigned to the team. You will have line-management responsibility of the team and need to have previous management experience. This is a hands-on role that will include coding, code reviews, design and architectural leadership and technical strategy. Your first project for the initial 12 months, will be to classify a large number of securities over a range of industries. They have a very flexible hybrid working set up. Salary: £150k - £170k + 20% Guaranteed Bonus + 10% Pension
Westhouse Managed Services Srl
Madrid, Comunidad de Madrid
Westhouse is a leading company that operates in the field of research & selection of personnel, project management and is authorized for an indefinite period for the provision of work with Italian Ministerial Authorization Prot. N. of 03/08/2018 For an important partner of ours, International Leader in IT consultancy field, we are looking for a EU React Developer freelancer, resident in Spain , for an important project opportunity in the banking sector. Details below: Technical skills : Responsibilities: you will contribute to web development with React, Typescript, Javascript, HTML, and CSS. Given that a large part of our product is based on code libraries that will be consumed by multiple teams, a strong emphasis is placed on testing. Your role includes crafting a robust test suite using Jest and react-testing-library. Actively contribute to the enhancement and definition of our Front End architecture, rooted in clean architecture principles, SOLID, hexagonal architecture, and Domain-Driven Design (DDD). Collaborating in the improvement of our shared libraries, fostering a culture that welcomes individual contributions from all engineering team members, regardless of seniority! Engage in code reviews, pair programming sessions, and actively contribute to reinforcing common best practices to maintain code quality and consistency. Approach tasks with a results-oriented mindset, taking ownership of your deliveries and encouraging strong communication and collaboration with team members and stakeholders. We're all committed to promote and foster a healthy and collaborative culture! What are we looking for in this position? 3+ years of hands-on experience in Javascript. 1+ years of proficient experience with Typescript, expertise in generics, type narrowing, and other advanced topics will be valued. A minimum of 2 years of focused experience with ReactJS frameworks last versions, demonstrating a deep understanding of compound components and associated concepts. Proven track record in writing unit tests using Jest and react-testing-library, or similar testing frameworks. Proficiency in CSS, with a preference for experience with Sass or Less preprocessors or CSS-in-JS solutions. Knowledge of Object-Oriented Programming (OOP) in the context of Javascript. Familiarity with SOLID principles, clean architecture concepts, and a profound understanding of general software design patterns, including where and why to apply them. Nice to have: understanding of hexagonal (ports & adapters) architecture and Domain-Driven Design (DDD). Good communication skills both in English and Spanish at a B2-C1 level. Work Experience: 3+ years of JS experience 2 years of experience in Typescript, (Generic, ) 2 years of experience in React, (needs to be familiar with the latest versions of React, 16 and 18) Testing (unit) with React Testing Library (JEST) Proficiency in CSS (Styled Components) Nice to have: Knowledge of OOP (object-oriented programming) Languages: Native/Fluent command of the Spanish language Level of English equivalent to B2. Preferred Technical Expertise: Knowledge of Domain Driven Development architecture and Hexagonal architecture (layered responsibilities) Design Patterns Accessibility knowledge. Development of applications that comply with security standards. Contract estimated duration : min. 6 months - Working hours details : 9-18 - Preferred location : Madrid - Languages needed: English, Spanish, - English level required : Advanced (C1) - Details about experience required: 3+ years - Details about rates expected : Depends on experience - Other comments : Can be remote but only for Spain. We are the 100% digital bank and we are currently undergoing a technological transformation and international expansion. In 2016 the re-launch of the Bank began and since then we have been in continuous expansion and growth, especially in our technological side. We work in a start-up format, using agile methodologies to take our clients' experience to the next level. In 2019 we launched the Bank in the Netherlands, Germany and Portugal and recently following also the launch in Argentina with others to follow. Our culture makes us different; social and diversity clubs are part of our essence and allow us to live our culture every day. We are a flexible and fast adapting team that currently works remotely most of the time using all kinds of communication tools, we havent noticed the change! Mission: We're building an innovative, cutting-edge, banking platform designed for seamless international expansion, prioritizing scalability, extension, and accessibility. Our architectural foundation embraces Domain-Driven Design, Ports & Adapters pattern, and other clean architecture concepts meticulously tailored to meet our unique requirements. Join us in shaping the future of Front End development within this visionary project! Only CVs with consent to the storage and processing of personal data in accordance with EU Regulation 2016/679 (GDPR) will be taken into consideration. Candidates of both genres (Legislative Decree No. 198/2006) are invited to read the Privacy Policy on the website (Articles 13 and 14 of EU Reg. 679/2016). We also inform you that the Resumé may be considered for other vacant positions and could also be managed and communicated through the use of own tools and/or the client company.
13/05/2024
Project-based
Westhouse is a leading company that operates in the field of research & selection of personnel, project management and is authorized for an indefinite period for the provision of work with Italian Ministerial Authorization Prot. N. of 03/08/2018 For an important partner of ours, International Leader in IT consultancy field, we are looking for a EU React Developer freelancer, resident in Spain , for an important project opportunity in the banking sector. Details below: Technical skills : Responsibilities: you will contribute to web development with React, Typescript, Javascript, HTML, and CSS. Given that a large part of our product is based on code libraries that will be consumed by multiple teams, a strong emphasis is placed on testing. Your role includes crafting a robust test suite using Jest and react-testing-library. Actively contribute to the enhancement and definition of our Front End architecture, rooted in clean architecture principles, SOLID, hexagonal architecture, and Domain-Driven Design (DDD). Collaborating in the improvement of our shared libraries, fostering a culture that welcomes individual contributions from all engineering team members, regardless of seniority! Engage in code reviews, pair programming sessions, and actively contribute to reinforcing common best practices to maintain code quality and consistency. Approach tasks with a results-oriented mindset, taking ownership of your deliveries and encouraging strong communication and collaboration with team members and stakeholders. We're all committed to promote and foster a healthy and collaborative culture! What are we looking for in this position? 3+ years of hands-on experience in Javascript. 1+ years of proficient experience with Typescript, expertise in generics, type narrowing, and other advanced topics will be valued. A minimum of 2 years of focused experience with ReactJS frameworks last versions, demonstrating a deep understanding of compound components and associated concepts. Proven track record in writing unit tests using Jest and react-testing-library, or similar testing frameworks. Proficiency in CSS, with a preference for experience with Sass or Less preprocessors or CSS-in-JS solutions. Knowledge of Object-Oriented Programming (OOP) in the context of Javascript. Familiarity with SOLID principles, clean architecture concepts, and a profound understanding of general software design patterns, including where and why to apply them. Nice to have: understanding of hexagonal (ports & adapters) architecture and Domain-Driven Design (DDD). Good communication skills both in English and Spanish at a B2-C1 level. Work Experience: 3+ years of JS experience 2 years of experience in Typescript, (Generic, ) 2 years of experience in React, (needs to be familiar with the latest versions of React, 16 and 18) Testing (unit) with React Testing Library (JEST) Proficiency in CSS (Styled Components) Nice to have: Knowledge of OOP (object-oriented programming) Languages: Native/Fluent command of the Spanish language Level of English equivalent to B2. Preferred Technical Expertise: Knowledge of Domain Driven Development architecture and Hexagonal architecture (layered responsibilities) Design Patterns Accessibility knowledge. Development of applications that comply with security standards. Contract estimated duration : min. 6 months - Working hours details : 9-18 - Preferred location : Madrid - Languages needed: English, Spanish, - English level required : Advanced (C1) - Details about experience required: 3+ years - Details about rates expected : Depends on experience - Other comments : Can be remote but only for Spain. We are the 100% digital bank and we are currently undergoing a technological transformation and international expansion. In 2016 the re-launch of the Bank began and since then we have been in continuous expansion and growth, especially in our technological side. We work in a start-up format, using agile methodologies to take our clients' experience to the next level. In 2019 we launched the Bank in the Netherlands, Germany and Portugal and recently following also the launch in Argentina with others to follow. Our culture makes us different; social and diversity clubs are part of our essence and allow us to live our culture every day. We are a flexible and fast adapting team that currently works remotely most of the time using all kinds of communication tools, we havent noticed the change! Mission: We're building an innovative, cutting-edge, banking platform designed for seamless international expansion, prioritizing scalability, extension, and accessibility. Our architectural foundation embraces Domain-Driven Design, Ports & Adapters pattern, and other clean architecture concepts meticulously tailored to meet our unique requirements. Join us in shaping the future of Front End development within this visionary project! Only CVs with consent to the storage and processing of personal data in accordance with EU Regulation 2016/679 (GDPR) will be taken into consideration. Candidates of both genres (Legislative Decree No. 198/2006) are invited to read the Privacy Policy on the website (Articles 13 and 14 of EU Reg. 679/2016). We also inform you that the Resumé may be considered for other vacant positions and could also be managed and communicated through the use of own tools and/or the client company.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
10/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
Head of Automation AI experience or knowledge required Fully remote Up to £85k + bonus We are working with a successful Test Consultancy who work with multiple high profile and SME accounts. They are a very forward thinking business, always striving to introduce the best and latest technologies for their clients. Candidates must have experience in, or a very good understanding of, the benefits of Artificial Intelligence within test. This is a hands on testing role which will utilise your experience in automation, driving continuous improvements and leading a team of QA Engineers and Developers. Skills and experience will include: Point of escalation for Automation Services and QA Engineers and Development resource Owner of the Automation product set, planning and managing enhancements with the team Strategic thinking and problem-solving skills, with the ability to translate business requirements into actionable automation (and possibly AI strategies) Focus on continuous QA improvements including usage of appropriate testing tools, test techniques, test automation including future technology opportunities (AI would be particularly interesting) Keep QA best practice standards up to date, along with supporting documentation for service support, onboarding, and maintenance Accountable for the test automation projects, mentor, and provide leadership to the QA automation developers and Leads Tech experience including: Designed and built automation frameworks on a range of technology and toolsets covering Unit, API, UI level automation, including but not limited to - Selenium, Specflow, Serenity BDD/Specflow, Appium, Cypress, Playwright, Postman, Rest Assured, Jmeter, BrowserStack, Saucelabs (or similar). Experience of coding with Java and .NET environments Experience of codeless automation tools, and ERP tool extensions (eg ATF in ServiceNow) Knowledge of automation solutions for non-functional phases of testing such as Accessibility, Performance, and Security. Providing automation solutions within a CI/CD environment Implementing automation across Cloud based pipelines and implementations such as Azure and AWS. Ideally, an understanding of the potential of AI within the QA landscape This is a fully remote role with occasional visits to Head Office. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
10/05/2024
Full time
Head of Automation AI experience or knowledge required Fully remote Up to £85k + bonus We are working with a successful Test Consultancy who work with multiple high profile and SME accounts. They are a very forward thinking business, always striving to introduce the best and latest technologies for their clients. Candidates must have experience in, or a very good understanding of, the benefits of Artificial Intelligence within test. This is a hands on testing role which will utilise your experience in automation, driving continuous improvements and leading a team of QA Engineers and Developers. Skills and experience will include: Point of escalation for Automation Services and QA Engineers and Development resource Owner of the Automation product set, planning and managing enhancements with the team Strategic thinking and problem-solving skills, with the ability to translate business requirements into actionable automation (and possibly AI strategies) Focus on continuous QA improvements including usage of appropriate testing tools, test techniques, test automation including future technology opportunities (AI would be particularly interesting) Keep QA best practice standards up to date, along with supporting documentation for service support, onboarding, and maintenance Accountable for the test automation projects, mentor, and provide leadership to the QA automation developers and Leads Tech experience including: Designed and built automation frameworks on a range of technology and toolsets covering Unit, API, UI level automation, including but not limited to - Selenium, Specflow, Serenity BDD/Specflow, Appium, Cypress, Playwright, Postman, Rest Assured, Jmeter, BrowserStack, Saucelabs (or similar). Experience of coding with Java and .NET environments Experience of codeless automation tools, and ERP tool extensions (eg ATF in ServiceNow) Knowledge of automation solutions for non-functional phases of testing such as Accessibility, Performance, and Security. Providing automation solutions within a CI/CD environment Implementing automation across Cloud based pipelines and implementations such as Azure and AWS. Ideally, an understanding of the potential of AI within the QA landscape This is a fully remote role with occasional visits to Head Office. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Overview: We are seeking a highly skilled SAP Integration Architect to join our dynamic team. As an SAP Integration Architect, you will be responsible for designing, implementing, and maintaining SAP integration solutions that seamlessly connect various SAP modules and external systems. You will collaborate closely with cross-functional teams to understand business requirements and develop robust integration strategies to optimize system performance and enhance overall efficiency. Responsibilities: Solution Design: Design end-to-end integration solutions for SAP systems, considering factors such as scalability, security, and performance. Technical Leadership: Provide technical leadership and guidance to development teams throughout the integration life cycle, ensuring adherence to best practices and standards. Requirements Analysis: Collaborate with business stakeholders to gather and analyze integration requirements, translating them into technical specifications and design documents. Integration Development: Develop and configure integration solutions using SAP technologies such as SAP PI/PO, SAP Cloud Platform Integration (CPI), SAP Data Services, and SAP API Management. Custom Development: Design and develop custom interfaces, APIs, and Middleware components to facilitate seamless data exchange between SAP and external systems. Performance Optimization: Identify performance bottlenecks and optimize integration processes to ensure optimal system performance and reliability. Quality Assurance: Conduct thorough testing of integration solutions to ensure accuracy, reliability, and compliance with functional requirements. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and configuration guides. Troubleshooting and Support: Provide expert-level support for integration-related issues, investigating and resolving issues in a timely manner to minimize disruption to business operations. Continuous Improvement: Stay abreast of emerging SAP technologies and industry trends, continuously seeking opportunities to enhance integration capabilities and improve efficiency. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Master's degree preferred. Proven experience as an SAP Integration Architect or similar role, with a minimum of [X] years of experience in designing and implementing SAP integration solutions. In-depth knowledge of SAP technologies, including SAP PI/PO, SAP CPI, SAP Data Services, and SAP API Management. Strong understanding of integration patterns, protocols, and standards, such as SOAP, REST, XML, and JSON. Proficiency in programming languages such as Java, ABAP, or Python, with experience in developing custom integration solutions. Excellent analytical and problem-solving skills, with the ability to troubleshoot complex integration issues and implement effective solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. SAP certification(s) in relevant technologies is a plus.
10/05/2024
Project-based
Overview: We are seeking a highly skilled SAP Integration Architect to join our dynamic team. As an SAP Integration Architect, you will be responsible for designing, implementing, and maintaining SAP integration solutions that seamlessly connect various SAP modules and external systems. You will collaborate closely with cross-functional teams to understand business requirements and develop robust integration strategies to optimize system performance and enhance overall efficiency. Responsibilities: Solution Design: Design end-to-end integration solutions for SAP systems, considering factors such as scalability, security, and performance. Technical Leadership: Provide technical leadership and guidance to development teams throughout the integration life cycle, ensuring adherence to best practices and standards. Requirements Analysis: Collaborate with business stakeholders to gather and analyze integration requirements, translating them into technical specifications and design documents. Integration Development: Develop and configure integration solutions using SAP technologies such as SAP PI/PO, SAP Cloud Platform Integration (CPI), SAP Data Services, and SAP API Management. Custom Development: Design and develop custom interfaces, APIs, and Middleware components to facilitate seamless data exchange between SAP and external systems. Performance Optimization: Identify performance bottlenecks and optimize integration processes to ensure optimal system performance and reliability. Quality Assurance: Conduct thorough testing of integration solutions to ensure accuracy, reliability, and compliance with functional requirements. Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and configuration guides. Troubleshooting and Support: Provide expert-level support for integration-related issues, investigating and resolving issues in a timely manner to minimize disruption to business operations. Continuous Improvement: Stay abreast of emerging SAP technologies and industry trends, continuously seeking opportunities to enhance integration capabilities and improve efficiency. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Master's degree preferred. Proven experience as an SAP Integration Architect or similar role, with a minimum of [X] years of experience in designing and implementing SAP integration solutions. In-depth knowledge of SAP technologies, including SAP PI/PO, SAP CPI, SAP Data Services, and SAP API Management. Strong understanding of integration patterns, protocols, and standards, such as SOAP, REST, XML, and JSON. Proficiency in programming languages such as Java, ABAP, or Python, with experience in developing custom integration solutions. Excellent analytical and problem-solving skills, with the ability to troubleshoot complex integration issues and implement effective solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. SAP certification(s) in relevant technologies is a plus.