Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
01/06/2024
Full time
Senior Software Engineer with strong commercial Machine Learning experience required for a defence & security Machine Learning company. As part of this role, you will be put through SC Clearance (and ideally, also DV clearance), so you must be eligible for these to apply. This role can be worked remotely from within the UK, however you must be able to travel to client sites when required (roughly 1 week every 2 months). As a Senior Software Engineer, you will be working as part of a fantastic, up to date technical environment based around Machine Learning and AI, using Python. You will be client facing and therefore working on a range of innovation projects based around AI/ML, science, and data. Primary technologies used are Python, Typescript/JavaScript, and Kubernetes, as well as production use of ML, so a proficiency in these is required. This is a Senior Software Engineer or Tech Lead level role, so some experience architecting scalable systems within a modern Devops environment is desirable. Senior Software Engineer essential skills Minimum 5 years career experience, ideally using Python as your primary development language Commercial production experience with Machine Learning (ML) and AI is important Strong commercial experience with Typescript and JavaScript You must be comfortable with Kubernetes and the modern Devops environment No work permit holders are allowed as you need to be able to obtain SC and/or DV clearance - ideally you will be a UK national and you must have no criminal history You must be happy travelling to client sites occasionally - roughly 1 week every couple of months If you already hold SC or DV clearance that would be great! There's a starting salary of £90,000-£95,000 plus shares/equity - and lots of other benefits including primarily remote working. There is a great flexible working setup as well, with core working hours, support for higher learning a generous holiday allowance (37 days) all part of the package. This is a fantastic opportunity for Senior Software Engineer or Tech Lead with commercial Machine Learning experience to join a fast-growing company and really further your career in a thriving sector! To apply please send your CV to Rob Goffin at IT Recruitment Solutions. Senior Software Engineer, Tech Lead, Machine Learning, AI, Python, Typescript, JavaScript, Kubernetes, UK, Remote, Travel to clients, Permanent £90,000 - £95,000 + Shares
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
31/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
-Site Reliability Engineer -Remote/Glasgow -Salary to £75,000 + Bonus -Immediate Start Fantastic new opportunity to the market to join our Glasgow-based tech-for-good client, specialising in digital solutions and who have a huge global reach. Due to increased success in their space and demand for their services, they are now recruiting for a Site Reliability Engineer to join the team as they embark on a hugely exciting roadmap. The core function of the role will be to maintain a secure and reliable infrastructure, define and manage the infrastructure and support the internal applications, administered in Kubernetes. From a tech perspective, I'm looking for someone from a software development background (ability to code in either Python, Java, C# or equivalent). A blend of AWS, CI/CD and containerisation will also be pivotal, as will a focus on automation. The role is multi-faceted and you will be tasked with maintaining uptime, handling coding issues, scalability and infrastructure-as-code for deployments among others. You will analyse and recommend technology improvements and upgrades, develop best practices and advise on scaling, ensuring a true contribution to the business. Communication and collaboration will be key to work alongside the software, systems and test teams effectively. Candidates who are proactive and dedicated are preferred, as this role is highly visible. This is a remote role, with a quarterly visit to the office in Glasgow for team retros and collaboration. Key Skills & Experience Mastery with at least one programming language and framework (Python, C#, Java etc.) Working knowledge of all enterprise domains Broad and demonstrable experience across the AWS Cloud platform Proven commercial experience of infrastructure as code techniques using Terraform, CloudFormation or Pulimi Ability to Administer Docker images in Kubernetes clusters. A depth of CI/CD tooling expertise - Jenkins, TeamCity, Spinnaker or equivalents Knowledge of Agile methodologies and the full Software Development Life Cycle (SDLC) Organisational and collaboration skills Ability to work under pressure in a fast-paced environment. Excellent communication The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
31/05/2024
Full time
-Site Reliability Engineer -Remote/Glasgow -Salary to £75,000 + Bonus -Immediate Start Fantastic new opportunity to the market to join our Glasgow-based tech-for-good client, specialising in digital solutions and who have a huge global reach. Due to increased success in their space and demand for their services, they are now recruiting for a Site Reliability Engineer to join the team as they embark on a hugely exciting roadmap. The core function of the role will be to maintain a secure and reliable infrastructure, define and manage the infrastructure and support the internal applications, administered in Kubernetes. From a tech perspective, I'm looking for someone from a software development background (ability to code in either Python, Java, C# or equivalent). A blend of AWS, CI/CD and containerisation will also be pivotal, as will a focus on automation. The role is multi-faceted and you will be tasked with maintaining uptime, handling coding issues, scalability and infrastructure-as-code for deployments among others. You will analyse and recommend technology improvements and upgrades, develop best practices and advise on scaling, ensuring a true contribution to the business. Communication and collaboration will be key to work alongside the software, systems and test teams effectively. Candidates who are proactive and dedicated are preferred, as this role is highly visible. This is a remote role, with a quarterly visit to the office in Glasgow for team retros and collaboration. Key Skills & Experience Mastery with at least one programming language and framework (Python, C#, Java etc.) Working knowledge of all enterprise domains Broad and demonstrable experience across the AWS Cloud platform Proven commercial experience of infrastructure as code techniques using Terraform, CloudFormation or Pulimi Ability to Administer Docker images in Kubernetes clusters. A depth of CI/CD tooling expertise - Jenkins, TeamCity, Spinnaker or equivalents Knowledge of Agile methodologies and the full Software Development Life Cycle (SDLC) Organisational and collaboration skills Ability to work under pressure in a fast-paced environment. Excellent communication The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
Computer Vision Engineer Location: Hybrid (Camberwell office and remote work) Salary: Up to £55,000 per annum (depending on experience) + Benefits Company Overview Our client is a leading technology company focused on developing innovative in-house products to solve real-world problems. Our team is dedicated to pushing the boundaries of whats possible with cutting-edge technology and robust engineering practices. They are currently seeking a talented Computer Vision Engineer to join our dynamic team and help develop new features for our products. Role Overview As a Computer Vision Engineer, you will be responsible for enhancing our in-house product by developing and implementing new computer vision features. You will work closely with a team of engineers and data scientists to design, develop, and deploy robust computer vision solutions. This hybrid role requires both in-office presence in Camberwell and remote working capabilities. Key Responsibilities . Develop and implement new computer vision features for our in-house product. . Collaborate with cross-functional teams to design, prototype, and deploy computer vision solutions. . Optimize and improve existing computer vision algorithms for performance and accuracy. . Integrate and manage computer vision pipelines using AWS Cloud services. . Utilize ROS 2 for developing and managing robotic systems. . Use GitLab for version control and continuous integration/continuous deployment (CI/CD) processes. . Leverage Pytorch and Roboflow for model training, evaluation, and deployment. . Conduct thorough testing and debugging of computer vision applications. . Stay updated with the latest advancements in computer vision and related fields. Required Skills and Experience . Programming Languages: Proficiency in Python and C++. . Cloud Services: Experience with AWS Cloud infrastructure and services. . Robotic Operating System: Experience with ROS 2. . Version Control: Proficient in using GitLab for source code management and CI/CD. . Machine Learning Frameworks: Strong experience with Pytorch. . Data Annotation and Management: Experience with Roboflow or similar tools. . Problem Solving: Excellent analytical and problem-solving skills. . Collaboration: Strong ability to work collaboratively in a team-oriented environment. . Communication: Effective verbal and written communication skills. Preferred Qualifications . Bachelors or Master's degree in Computer Science, Electrical Engineering, or a related field. . Experience with computer vision applications in real-world products. . Familiarity with Agile development methodologies. . Prior experience in a hybrid working environment. Benefits Competitive salary up to £55,000 per annum, depending on experience. Flexible hybrid working model. Opportunities for professional development and career progression. Collaborative and innovative working environment. Access to cutting-edge technology and tools. Application Process
31/05/2024
Full time
Computer Vision Engineer Location: Hybrid (Camberwell office and remote work) Salary: Up to £55,000 per annum (depending on experience) + Benefits Company Overview Our client is a leading technology company focused on developing innovative in-house products to solve real-world problems. Our team is dedicated to pushing the boundaries of whats possible with cutting-edge technology and robust engineering practices. They are currently seeking a talented Computer Vision Engineer to join our dynamic team and help develop new features for our products. Role Overview As a Computer Vision Engineer, you will be responsible for enhancing our in-house product by developing and implementing new computer vision features. You will work closely with a team of engineers and data scientists to design, develop, and deploy robust computer vision solutions. This hybrid role requires both in-office presence in Camberwell and remote working capabilities. Key Responsibilities . Develop and implement new computer vision features for our in-house product. . Collaborate with cross-functional teams to design, prototype, and deploy computer vision solutions. . Optimize and improve existing computer vision algorithms for performance and accuracy. . Integrate and manage computer vision pipelines using AWS Cloud services. . Utilize ROS 2 for developing and managing robotic systems. . Use GitLab for version control and continuous integration/continuous deployment (CI/CD) processes. . Leverage Pytorch and Roboflow for model training, evaluation, and deployment. . Conduct thorough testing and debugging of computer vision applications. . Stay updated with the latest advancements in computer vision and related fields. Required Skills and Experience . Programming Languages: Proficiency in Python and C++. . Cloud Services: Experience with AWS Cloud infrastructure and services. . Robotic Operating System: Experience with ROS 2. . Version Control: Proficient in using GitLab for source code management and CI/CD. . Machine Learning Frameworks: Strong experience with Pytorch. . Data Annotation and Management: Experience with Roboflow or similar tools. . Problem Solving: Excellent analytical and problem-solving skills. . Collaboration: Strong ability to work collaboratively in a team-oriented environment. . Communication: Effective verbal and written communication skills. Preferred Qualifications . Bachelors or Master's degree in Computer Science, Electrical Engineering, or a related field. . Experience with computer vision applications in real-world products. . Familiarity with Agile development methodologies. . Prior experience in a hybrid working environment. Benefits Competitive salary up to £55,000 per annum, depending on experience. Flexible hybrid working model. Opportunities for professional development and career progression. Collaborative and innovative working environment. Access to cutting-edge technology and tools. Application Process
Role: DevOps Engineer Salary: Up to £50,000 per annum dependent on experience Location: Hybrid/Romsey SC clearance is required for this role We are looking for an experienced DevOps Engineer with experience around 2-3 years experience in software development. You will be overseeing code releases, deployments, and support operational systems. Skills and experience; Active SC clearance Experience with cloud technologies ie AWS or Azure Programming language experience ie Java, Python, node.js or SQL Data technologies experience ie PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (see below) CBSbutler is acting as an employment agency for this role.
31/05/2024
Full time
Role: DevOps Engineer Salary: Up to £50,000 per annum dependent on experience Location: Hybrid/Romsey SC clearance is required for this role We are looking for an experienced DevOps Engineer with experience around 2-3 years experience in software development. You will be overseeing code releases, deployments, and support operational systems. Skills and experience; Active SC clearance Experience with cloud technologies ie AWS or Azure Programming language experience ie Java, Python, node.js or SQL Data technologies experience ie PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (see below) CBSbutler is acting as an employment agency for this role.
Role: DevOps Engineer Salary: Up to £50,000 per annum dependent on experience Location: Hybrid/Woking SC clearance is required for this role We are looking for an experienced DevOps Engineer with experience around 2-3 years experience in software development. You will be overseeing code releases, deployments, and support operational systems. Skills and experience; Active SC clearance Experience with cloud technologies ie AWS or Azure Programming language experience ie Java, Python, node.js or SQL Data technologies experience ie PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (see below) CBSbutler is acting as an employment agency for this role.
31/05/2024
Full time
Role: DevOps Engineer Salary: Up to £50,000 per annum dependent on experience Location: Hybrid/Woking SC clearance is required for this role We are looking for an experienced DevOps Engineer with experience around 2-3 years experience in software development. You will be overseeing code releases, deployments, and support operational systems. Skills and experience; Active SC clearance Experience with cloud technologies ie AWS or Azure Programming language experience ie Java, Python, node.js or SQL Data technologies experience ie PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (see below) CBSbutler is acting as an employment agency for this role.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
30/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. 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, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
30/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. 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, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
30/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, 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. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: 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
30/05/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, 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. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: 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
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. 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. 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. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
30/05/2024
Full time
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. 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. 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. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
Robert Half are working with a growing Engineering Consultancy in the Greater Bristol area to recruit an Front End Software Developer on a permanent basis. ABOUT THE ROLE: Work as part of a growing team delivering new cloud-based IoT applications, in addition to maintaining and upgrading existing products. Play an active part in delivering solutions in a fast-paced, agile environment. Develop a new React web application (including but not limited to customer data reporting, dashboards and visualization of timeseries analysis) Develop, adopt and promote software engineering best practice and processes internally within the team and business RESPONSIBILITIES: Specific Responsibilities of the Role Develop software products and solutions to customer requirements. Generate software design documentation in accordance with company procedures, including (but not limited to) specifications, test procedures, block diagrams, schematics, manuals, Application Programming Interface (API) or any other documentation required Provide verbal and written progress reports to all levels of management within the business. Evaluate current and new software technologies as well as their potential benefits and use case applications through research and testing. Support the preparation and filing of patent disclosures/applications by identifying novel technology and writing the initial idea descriptions. Support Agile software development processes as part of the development team. Undertake testing, evaluation, modification and re-testing of products/solutions. Work to defined project specifications, budgets and timescales. Support general tendering and marketing activities, as and when required. Support and assist in testing and commissioning, both on-site and off-site. Work to relevant international standards and best practice guidelines as required. Undertake engineering consultancy work in accordance with company and client requirements. Review development work as part of sprint iterations. Work cross-functionally with other departments to co-ordinate the transfer of new products/systems into commercial solutions. CANDIDATE REQUIREMENTS: Essential: Hons Degree or equivalent in a suitable discipline and/or proven work experience in line with the skills or knowledge required for the role Hands on commercial experience of React & TypeScript. Knowledge of the Software Engineering Lifecycle. Design, implementation and deployment of new software features. Demonstrated aptitude for learning new tools, concepts and programming languages. Adopting and adhering to industry best practices. Test-driven development. Desirable: Experience developing Back End APIs in Java (Spring) and/or Python Experience in UX/UI and tools such as Figma. Knowledge of IoT and Digital-twin architecture Knowledge of microservice architecture Experience of Azure Salary/logisitics: £50,000 - £60,000 DOE Discretionary bonus 5% matched pension scheme Flexible working around core business hours - great for chhilcare commitments Hybrid working on offer from the main site in Portishead Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
30/05/2024
Full time
Robert Half are working with a growing Engineering Consultancy in the Greater Bristol area to recruit an Front End Software Developer on a permanent basis. ABOUT THE ROLE: Work as part of a growing team delivering new cloud-based IoT applications, in addition to maintaining and upgrading existing products. Play an active part in delivering solutions in a fast-paced, agile environment. Develop a new React web application (including but not limited to customer data reporting, dashboards and visualization of timeseries analysis) Develop, adopt and promote software engineering best practice and processes internally within the team and business RESPONSIBILITIES: Specific Responsibilities of the Role Develop software products and solutions to customer requirements. Generate software design documentation in accordance with company procedures, including (but not limited to) specifications, test procedures, block diagrams, schematics, manuals, Application Programming Interface (API) or any other documentation required Provide verbal and written progress reports to all levels of management within the business. Evaluate current and new software technologies as well as their potential benefits and use case applications through research and testing. Support the preparation and filing of patent disclosures/applications by identifying novel technology and writing the initial idea descriptions. Support Agile software development processes as part of the development team. Undertake testing, evaluation, modification and re-testing of products/solutions. Work to defined project specifications, budgets and timescales. Support general tendering and marketing activities, as and when required. Support and assist in testing and commissioning, both on-site and off-site. Work to relevant international standards and best practice guidelines as required. Undertake engineering consultancy work in accordance with company and client requirements. Review development work as part of sprint iterations. Work cross-functionally with other departments to co-ordinate the transfer of new products/systems into commercial solutions. CANDIDATE REQUIREMENTS: Essential: Hons Degree or equivalent in a suitable discipline and/or proven work experience in line with the skills or knowledge required for the role Hands on commercial experience of React & TypeScript. Knowledge of the Software Engineering Lifecycle. Design, implementation and deployment of new software features. Demonstrated aptitude for learning new tools, concepts and programming languages. Adopting and adhering to industry best practices. Test-driven development. Desirable: Experience developing Back End APIs in Java (Spring) and/or Python Experience in UX/UI and tools such as Figma. Knowledge of IoT and Digital-twin architecture Knowledge of microservice architecture Experience of Azure Salary/logisitics: £50,000 - £60,000 DOE Discretionary bonus 5% matched pension scheme Flexible working around core business hours - great for chhilcare commitments Hybrid working on offer from the main site in Portishead Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
Job Title: System Engineer Location: London Salary: £60,000 Start Date: 01/07/2024 Job Type: Permanent Company Introduction Welcome to a company where innovation meets precision. A company who are passionate about pushing boundaries and redefining excellence. Our client's dedicated team is committed to delivering cutting-edge solutions that drive performance and inspire success. Join them as they accelerate towards a future where every challenge is met with a groundbreaking answer. Experience the difference - where your journey to excellence begins Job Responsibilities/Objectives My client are seeking an enthusiastic, focused engineer with a passion for Embedded systems, particularly telemetry solutions, to join our small and efficient team of systems, hardware, and Embedded software engineers. Your role will be crucial in driving the development of a new telemetry system, including components such as data loggers and telemetry radios, throughout the testing phase. You will have a high level of input into system design, field validation, and deployment. During the testing and validation phase, you will attend approximately 30% of major events to provide on-site support. Post-deployment, you will act as the subject matter expert, offering field support to operational teams at about 50% of major events. You will work at the Media and Technology Centre, further enhancing and improving the system based on feedback from the field. You will collaborate with other engineering and operational teams to ensure the telemetry systems meet performance and reliability requirements. Your responsibilities will also include maintaining and supporting both the current and new telemetry systems, troubleshooting issues, and liaising with regulatory bodies, teams, and internal senior stakeholders during events. You will monitor and analyse telemetry data to identify performance issues and areas for improvement. To keep our telemetry system at the forefront of technology, you will need to stay updated on the latest telemetry technologies and best practices, recommending new technologies and approaches to the team. Required Skills/Experience The ideal candidate will have the following: Educated to degree level (or equivalent vocational and industry experience) in electronics engineering or a suitable equivalent. Strong knowledge of systems engineering principles, including requirements analysis, system architecture, and system verification and validation, with experience in Embedded systems development and support, especially full life cycle. Experience designing or deploying/operating Radio Frequency based telemetry systems. Working with networking and serial protocols, video encoding and transmission protocols and RF systems. Experience with electronics hardware and software design principles. Developing Linux Kernel drivers or for an RTOS. Excellent communication and interpersonal skills, with the ability to work effectively in a multidisciplinary team environment, liaise with suppliers, and work with multiple external stakeholders. Python, C, and Linux. Excellent planning skills, including the ability to prioritise and multi-task effectively. Strong ability to write comprehensive technical design documentation including requirement specifications, test plans, and test reports. Desirable Skills/Experience Although not essential, the following skills are desired by the client: Experience with data acquisition and analysis software. Knowledge of regulations and standards, such as FIA or SAE. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
30/05/2024
Full time
Job Title: System Engineer Location: London Salary: £60,000 Start Date: 01/07/2024 Job Type: Permanent Company Introduction Welcome to a company where innovation meets precision. A company who are passionate about pushing boundaries and redefining excellence. Our client's dedicated team is committed to delivering cutting-edge solutions that drive performance and inspire success. Join them as they accelerate towards a future where every challenge is met with a groundbreaking answer. Experience the difference - where your journey to excellence begins Job Responsibilities/Objectives My client are seeking an enthusiastic, focused engineer with a passion for Embedded systems, particularly telemetry solutions, to join our small and efficient team of systems, hardware, and Embedded software engineers. Your role will be crucial in driving the development of a new telemetry system, including components such as data loggers and telemetry radios, throughout the testing phase. You will have a high level of input into system design, field validation, and deployment. During the testing and validation phase, you will attend approximately 30% of major events to provide on-site support. Post-deployment, you will act as the subject matter expert, offering field support to operational teams at about 50% of major events. You will work at the Media and Technology Centre, further enhancing and improving the system based on feedback from the field. You will collaborate with other engineering and operational teams to ensure the telemetry systems meet performance and reliability requirements. Your responsibilities will also include maintaining and supporting both the current and new telemetry systems, troubleshooting issues, and liaising with regulatory bodies, teams, and internal senior stakeholders during events. You will monitor and analyse telemetry data to identify performance issues and areas for improvement. To keep our telemetry system at the forefront of technology, you will need to stay updated on the latest telemetry technologies and best practices, recommending new technologies and approaches to the team. Required Skills/Experience The ideal candidate will have the following: Educated to degree level (or equivalent vocational and industry experience) in electronics engineering or a suitable equivalent. Strong knowledge of systems engineering principles, including requirements analysis, system architecture, and system verification and validation, with experience in Embedded systems development and support, especially full life cycle. Experience designing or deploying/operating Radio Frequency based telemetry systems. Working with networking and serial protocols, video encoding and transmission protocols and RF systems. Experience with electronics hardware and software design principles. Developing Linux Kernel drivers or for an RTOS. Excellent communication and interpersonal skills, with the ability to work effectively in a multidisciplinary team environment, liaise with suppliers, and work with multiple external stakeholders. Python, C, and Linux. Excellent planning skills, including the ability to prioritise and multi-task effectively. Strong ability to write comprehensive technical design documentation including requirement specifications, test plans, and test reports. Desirable Skills/Experience Although not essential, the following skills are desired by the client: Experience with data acquisition and analysis software. Knowledge of regulations and standards, such as FIA or SAE. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for a DevOps Engineer - Kubernetes. This role will focus on support and release of cloud applications running on Kubernetes within an AWS environment. This person will need experience with DevOps tools such as terraform, Jenkins, Ansible, Kafka, and Scripting for automation. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Qualifications: Bachelor's degree in a related area 7+ years of related experience Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes
30/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for a DevOps Engineer - Kubernetes. This role will focus on support and release of cloud applications running on Kubernetes within an AWS environment. This person will need experience with DevOps tools such as terraform, Jenkins, Ansible, Kafka, and Scripting for automation. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Qualifications: Bachelor's degree in a related area 7+ years of related experience Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes
Job Summary: We are seeking a talented and driven AI Developer on behalf of our client to join the team focusing on developing cutting-edge AI solutions for mobile devices in addressing User experience. Responsibilities: Design and develop efficient AI models and applications for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/CV models with mobile device hardware, including GPUs, specialized AI accelerators, and Embedded systems. Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed. Qualifications: Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus. Excellent problem-solving skills, with the ability to handle challenges, work under pressure, and deliver results in a team-based environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams. Industry experience in AI/ML or wireless communications is desirable but not mandatory. Demonstrated ability to learn quickly and adapt to new technologies and challenges. Embark on a rare opportunity in the realm of AI. If you're a seasoned professional seeking to elevate your skills and expand your application development horizons, we want to connect with you. Join us in shaping the future of AI innovation.
29/05/2024
Job Summary: We are seeking a talented and driven AI Developer on behalf of our client to join the team focusing on developing cutting-edge AI solutions for mobile devices in addressing User experience. Responsibilities: Design and develop efficient AI models and applications for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/CV models with mobile device hardware, including GPUs, specialized AI accelerators, and Embedded systems. Analyze and evaluate the performance of AI/ML models using various datasets and metrics, iterating and refining the models as needed. Qualifications: Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, Control Theory, or related field with a strong focus on AI/ML. Extensive hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge of communication systems like 5G-NR and baseband signal processing algorithms is a strong plus. Excellent problem-solving skills, with the ability to handle challenges, work under pressure, and deliver results in a team-based environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional and international teams. Industry experience in AI/ML or wireless communications is desirable but not mandatory. Demonstrated ability to learn quickly and adapt to new technologies and challenges. Embark on a rare opportunity in the realm of AI. If you're a seasoned professional seeking to elevate your skills and expand your application development horizons, we want to connect with you. Join us in shaping the future of AI innovation.
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs 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. 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. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Masters degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
28/05/2024
Full time
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs 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. 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. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Masters degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
Senior C++ Developer - Perm - up to £75k per annum - Staffordshire - hybrid Seeking an experienced C++ developer to join a engineering and development team for a client in the Staffordshire region. This role will focus on building applications that leverage data analytics, digital twins and machine learning in their quest to become market leaders in their sector. You need to have solid C++ coding experience alongside a blend of Python/C#/JSON and HTML working in a sandboxed development environment. Essential Experience required of a Senior C++ Developer Solid demonstratable track record coding in the following languages: C++ and a mix of: Python/C#/JSON and HTML Experience working with IoT platforms (ThingWorx, Aveva technology stack, analytical tools, digital twins and machine learning, or other relevant operational technology information systems) RESTful webservices experience is required Developing UI Agile methodologies Qualifications in Software engineering is highly beneficial To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson , by exploring the VIQU IT Recruitment website.
28/05/2024
Full time
Senior C++ Developer - Perm - up to £75k per annum - Staffordshire - hybrid Seeking an experienced C++ developer to join a engineering and development team for a client in the Staffordshire region. This role will focus on building applications that leverage data analytics, digital twins and machine learning in their quest to become market leaders in their sector. You need to have solid C++ coding experience alongside a blend of Python/C#/JSON and HTML working in a sandboxed development environment. Essential Experience required of a Senior C++ Developer Solid demonstratable track record coding in the following languages: C++ and a mix of: Python/C#/JSON and HTML Experience working with IoT platforms (ThingWorx, Aveva technology stack, analytical tools, digital twins and machine learning, or other relevant operational technology information systems) RESTful webservices experience is required Developing UI Agile methodologies Qualifications in Software engineering is highly beneficial To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson , by exploring the VIQU IT Recruitment website.