Simulation Engineer Luton OR Edinburgh 6-month contract Paying up to 65p/h (InsideIR35) Please note - due to the nature of the work, you will need to hold or be eligible to obtain a high level of UK Security clearance - please only apply if suitable Key Responsibilities: Lead engine-driven projects from concept through delivery, building demos, bespoke tools, and integrated simulations. Exploit and extend game and simulation engines to meet performance, quality, and interoperability goals. Design and implement robust systems using C++, Python, and Lua to automate workflows and integrate third-party tools. Drive engine maintenance and optimisation, including profiling, memory and CPU tuning, and platform-specific improvements. Collaborate across disciplines with systems engineers, software teams, Human Factors designers, and IT to deliver cohesive solutions. Rapidly prototype and iterate, turning experimental ideas into validated features and production-ready components. Mentor and document: capture knowledge, run workshops, and support junior engineers to raise team capability. Required Skillset & Experience Degree in a STEM field, ideally to Masters level. Experience with animation pipelines, 3D modelling, or content creation workflows. Familiarity with HLA, DIS, or other simulation interoperability standards. Background in UX/HMI design or human-in-the-loop simulation. Proven experience as a game developer, engine engineer, or simulation engineer working with commercial game engines (Unreal, Unity, or similar). Good C++ skills and practical experience with Python and Lua scripting. Demonstrable track record of engine exploitation: profiling, optimization, custom module/plugin development, and toolchain integration. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Feb 25, 2026
Contractor
Simulation Engineer Luton OR Edinburgh 6-month contract Paying up to 65p/h (InsideIR35) Please note - due to the nature of the work, you will need to hold or be eligible to obtain a high level of UK Security clearance - please only apply if suitable Key Responsibilities: Lead engine-driven projects from concept through delivery, building demos, bespoke tools, and integrated simulations. Exploit and extend game and simulation engines to meet performance, quality, and interoperability goals. Design and implement robust systems using C++, Python, and Lua to automate workflows and integrate third-party tools. Drive engine maintenance and optimisation, including profiling, memory and CPU tuning, and platform-specific improvements. Collaborate across disciplines with systems engineers, software teams, Human Factors designers, and IT to deliver cohesive solutions. Rapidly prototype and iterate, turning experimental ideas into validated features and production-ready components. Mentor and document: capture knowledge, run workshops, and support junior engineers to raise team capability. Required Skillset & Experience Degree in a STEM field, ideally to Masters level. Experience with animation pipelines, 3D modelling, or content creation workflows. Familiarity with HLA, DIS, or other simulation interoperability standards. Background in UX/HMI design or human-in-the-loop simulation. Proven experience as a game developer, engine engineer, or simulation engineer working with commercial game engines (Unreal, Unity, or similar). Good C++ skills and practical experience with Python and Lua scripting. Demonstrable track record of engine exploitation: profiling, optimization, custom module/plugin development, and toolchain integration. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
London (Hybrid) Up to £120,000 + Benefits A leading London-based actuarial analytics and consulting organisation is seeking a highly academic and technically strong R&D Engineer to join its specialist innovation team. This is a highly project-focused role working across multiple actuarial and consulting teams, researching and developing new analytical models, algorithms, and technical solutions to solve complex real-world business problems. You will operate as an internal technical specialist, applying advanced mathematical, statistical, and computational techniques to design innovative analytics capabilities and production-grade tools. No prior insurance experience is required. Key Responsibilities Deliver applied research and technical innovation projects Translate complex business and actuarial problems into technical solutions Design and develop analytical models, algorithms, and data pipelines Build tools and prototypes using Python and modern data science techniques Work closely with actuarial, consulting, and engineering teams Contribute to development of new intellectual property and analytics capabilities Evaluate and implement emerging technologies including AI and machine learning This role offers significant variety, working across multiple projects and problem domains. Required Skills & Experience Master's degree or PhD in a quantitative discipline (Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or similar) Strong programming skills in Python, R, or similar Excellent mathematical modelling and analytical skills Experience working with large or complex datasets Ability to solve complex technical problems Strong communication skills Desirable Experience PhD or research background Machine learning or AI experience Algorithm development or optimisation Scientific computing or advanced analytics Experience developing analytical software or tools Salary & Benefits Up to £120,000 base salary Hybrid working (London) Highly technical, research-driven environment Opportunity to work on cutting-edge innovation projects Excellent career progression
Feb 25, 2026
Full time
London (Hybrid) Up to £120,000 + Benefits A leading London-based actuarial analytics and consulting organisation is seeking a highly academic and technically strong R&D Engineer to join its specialist innovation team. This is a highly project-focused role working across multiple actuarial and consulting teams, researching and developing new analytical models, algorithms, and technical solutions to solve complex real-world business problems. You will operate as an internal technical specialist, applying advanced mathematical, statistical, and computational techniques to design innovative analytics capabilities and production-grade tools. No prior insurance experience is required. Key Responsibilities Deliver applied research and technical innovation projects Translate complex business and actuarial problems into technical solutions Design and develop analytical models, algorithms, and data pipelines Build tools and prototypes using Python and modern data science techniques Work closely with actuarial, consulting, and engineering teams Contribute to development of new intellectual property and analytics capabilities Evaluate and implement emerging technologies including AI and machine learning This role offers significant variety, working across multiple projects and problem domains. Required Skills & Experience Master's degree or PhD in a quantitative discipline (Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or similar) Strong programming skills in Python, R, or similar Excellent mathematical modelling and analytical skills Experience working with large or complex datasets Ability to solve complex technical problems Strong communication skills Desirable Experience PhD or research background Machine learning or AI experience Algorithm development or optimisation Scientific computing or advanced analytics Experience developing analytical software or tools Salary & Benefits Up to £120,000 base salary Hybrid working (London) Highly technical, research-driven environment Opportunity to work on cutting-edge innovation projects Excellent career progression
Automated Intelligence SME Clearance Required: SC An opportunity is available for an experienced AI Subject Matter Expert to support the implementation and delivery of Automated Intelligence solutions within secure environments. You will work across technical and business teams to design, develop and deploy AI enabled automation capabilities that integrate into existing enterprise systems. The Role You will support the delivery of AI driven automation initiatives across secure programmes. The position requires strong technical capability combined with stakeholder engagement and risk awareness. Key Responsibilities Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts and build data pipelines covering ingestion, preprocessing and feature engineering. Conduct testing, troubleshooting and performance monitoring to maintain system accuracy and reliability. Collaborate with data scientists, software engineers and IT teams to ensure seamless deployment. Produce clear technical documentation and performance reporting. Support contract discussions, stakeholder engagement and business risk considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow. Experience and Capability Strong experience delivering AI or automation solutions within enterprise environments. Ability to work with cross functional teams and translate technical solutions into business value. Experience operating within controlled or regulated environments. Strong written and verbal communication skills. Experience supporting stakeholder engagement and business risk management. This role suits a technically credible AI professional who can design and implement automation solutions while engaging effectively across secure and regulated programmes. To apply, please send your CV by pressing the apply button
Feb 25, 2026
Contractor
Automated Intelligence SME Clearance Required: SC An opportunity is available for an experienced AI Subject Matter Expert to support the implementation and delivery of Automated Intelligence solutions within secure environments. You will work across technical and business teams to design, develop and deploy AI enabled automation capabilities that integrate into existing enterprise systems. The Role You will support the delivery of AI driven automation initiatives across secure programmes. The position requires strong technical capability combined with stakeholder engagement and risk awareness. Key Responsibilities Design, build and deploy automation solutions integrating AI and machine learning models into existing systems and workflows. Analyse business processes with stakeholders to identify automation opportunities and define clear requirements. Develop automation scripts and build data pipelines covering ingestion, preprocessing and feature engineering. Conduct testing, troubleshooting and performance monitoring to maintain system accuracy and reliability. Collaborate with data scientists, software engineers and IT teams to ensure seamless deployment. Produce clear technical documentation and performance reporting. Support contract discussions, stakeholder engagement and business risk considerations where required. Technical Skills Required Proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks including TensorFlow, PyTorch or Scikit-learn. Familiarity with cloud platforms such as AWS, Azure or Google Cloud and associated MLOps practices. Experience with automation and orchestration tooling such as UiPath, Airflow or Kubeflow. Experience and Capability Strong experience delivering AI or automation solutions within enterprise environments. Ability to work with cross functional teams and translate technical solutions into business value. Experience operating within controlled or regulated environments. Strong written and verbal communication skills. Experience supporting stakeholder engagement and business risk management. This role suits a technically credible AI professional who can design and implement automation solutions while engaging effectively across secure and regulated programmes. To apply, please send your CV by pressing the apply button
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Feb 25, 2026
Full time
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Feb 25, 2026
Full time
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architectureteam to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Proficiency in Data Engineering & Architecture, AI/ML with hands on experience in designing, implementing, testing, and ensuring the operational stability of large scale enterprise platforms and solutions Advanced in one or more programming language(s) eg. Java, Python , C/C++, C# Working knowledge of relational and NoSQL databases and data lake architectures Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience Preferred qualifications, capabilities, and skills Experience with modern data technologies such as Databricks or Snowflake. Hands on experience with Spark/PySpark and other big data processing technologies Knowledge of the financial services industry and their IT systems
Feb 25, 2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architectureteam to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Proficiency in Data Engineering & Architecture, AI/ML with hands on experience in designing, implementing, testing, and ensuring the operational stability of large scale enterprise platforms and solutions Advanced in one or more programming language(s) eg. Java, Python , C/C++, C# Working knowledge of relational and NoSQL databases and data lake architectures Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience Preferred qualifications, capabilities, and skills Experience with modern data technologies such as Databricks or Snowflake. Hands on experience with Spark/PySpark and other big data processing technologies Knowledge of the financial services industry and their IT systems
The Opportunity: Our client is looking for a seasoned Lead Software Engineer to provide end-to-end technical leadership across high-value mission-critical digital services within the public sector. This is a senior level position where you will be involved in hands-on development as well as team management to steer multi-disciplinary development teams for large-scale digital transformation programmes. Skills and Experience: Extensive experience leading Full Stack Engineering teams with advanced capabilities in .NET, Java, or Python, along with exposure to modern JavaScript frameworks. Proven track record mentoring engineers and elevating delivery quality through structured coaching. Strong client-facing acumen with the ability to advise on strategic technology direction. Delivery leadership within Agile environments (Scrum, Kanban, TDD, etc.) Hands-on experience architecting scalable secure cloud solutions on AWS and/or Azure A consulting or software house background is also highly desirable Role and Responsibilities: The Lead Software Engineer to provide end-to-end technical leadership across high-value, mission-critical digital services within the public sector. This is a senior strategically influential role where you will take full accountability for complex solution architectures, steer multi-disciplinary delivery teams, and set the engineering agenda for large-scale digital transformation programmes Operating in a technology-agnostic environment you will leverage a broad modern tech stack across .NET, Java, Python, Node.js, AWS, Azure and contemporary JavaScript frameworks Provide coaching and leadership, supporting the long-term development of engineers across the business Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
Feb 25, 2026
Full time
The Opportunity: Our client is looking for a seasoned Lead Software Engineer to provide end-to-end technical leadership across high-value mission-critical digital services within the public sector. This is a senior level position where you will be involved in hands-on development as well as team management to steer multi-disciplinary development teams for large-scale digital transformation programmes. Skills and Experience: Extensive experience leading Full Stack Engineering teams with advanced capabilities in .NET, Java, or Python, along with exposure to modern JavaScript frameworks. Proven track record mentoring engineers and elevating delivery quality through structured coaching. Strong client-facing acumen with the ability to advise on strategic technology direction. Delivery leadership within Agile environments (Scrum, Kanban, TDD, etc.) Hands-on experience architecting scalable secure cloud solutions on AWS and/or Azure A consulting or software house background is also highly desirable Role and Responsibilities: The Lead Software Engineer to provide end-to-end technical leadership across high-value, mission-critical digital services within the public sector. This is a senior strategically influential role where you will take full accountability for complex solution architectures, steer multi-disciplinary delivery teams, and set the engineering agenda for large-scale digital transformation programmes Operating in a technology-agnostic environment you will leverage a broad modern tech stack across .NET, Java, Python, Node.js, AWS, Azure and contemporary JavaScript frameworks Provide coaching and leadership, supporting the long-term development of engineers across the business Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
Feb 25, 2026
Full time
The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Feb 25, 2026
Full time
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Feb 25, 2026
Full time
We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis Proficie ncy in programming languages such as Golang and Python Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Feb 25, 2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Deployment and Integration Engineer Prestwick, Scotland Permanent Full time, Monday-Friday (on call rota once trained) Right to work in the UK and eligible for BPSS clearance The Role: We are seeking an experienced Deployment and Integration Engineer to join our onsite support team based in Prestwick, supporting critical UK national infrastructure. You will play a key role in the deployment, integration, and operational support of advanced Air Traffic Management (ATM) systems within a highly regulated, safety-critical environment. Working closely with project managers, engineers, offshore development teams, and customer stakeholders, you will support some of the most complex and mission-critical ATM systems in operation today. This is a customer-facing role involving Infrastructure as a Service (IaaS), system integration, virtualisation, networking, automation, and operational support activities. Key Responsibilities: Provide third line (expert) support for operational ATM systems, including incident investigation and resolution Collaborate with offshore development teams to diagnose and resolve complex technical issues Deploy and maintain operational, training, and test environments Act as the engineering focal point during system development, integration, and operational validation activities Deploy and integrate hardware and software systems within customer and internal ATM environments Participate in customer meetings, providing updates on investigations and progress Produce formal technical documentation, including procedures, high level designs, and network architectures Build and maintain strong, trusted relationships with customer stakeholders Contribute to continuous improvement, innovation, and knowledge sharing within the team Essential Skills & Experience: Experience working in regulated and safety critical environments (eg Defence, Aerospace, Rail, Nuclear, Oil & Gas, Automotive, Maritime) Strong hands on experience with: Linux (preferably RHEL) Virtualization (VMware, KVM) Networking (TCP/IP, multicast, routing) Scripting (Shell, Python) Experience with log analysis and system troubleshooting Familiarity with automation and provisioning tools (Ansible, Puppet) Network troubleshooting using tools such as Tcpdump and Wireshark Experience with software installation, deployment, and integration testing Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non technical stakeholders Strong customer facing skills and the ability to operate effectively under pressure Fluent English and willingness to undertake occasional business travel Desirable: Experience with container based technologies (Docker, Kubernetes) Experience working in highly distributed, multi site teams Spanish language skills To apply or find out more information on the role please send your CV
Feb 25, 2026
Full time
Deployment and Integration Engineer Prestwick, Scotland Permanent Full time, Monday-Friday (on call rota once trained) Right to work in the UK and eligible for BPSS clearance The Role: We are seeking an experienced Deployment and Integration Engineer to join our onsite support team based in Prestwick, supporting critical UK national infrastructure. You will play a key role in the deployment, integration, and operational support of advanced Air Traffic Management (ATM) systems within a highly regulated, safety-critical environment. Working closely with project managers, engineers, offshore development teams, and customer stakeholders, you will support some of the most complex and mission-critical ATM systems in operation today. This is a customer-facing role involving Infrastructure as a Service (IaaS), system integration, virtualisation, networking, automation, and operational support activities. Key Responsibilities: Provide third line (expert) support for operational ATM systems, including incident investigation and resolution Collaborate with offshore development teams to diagnose and resolve complex technical issues Deploy and maintain operational, training, and test environments Act as the engineering focal point during system development, integration, and operational validation activities Deploy and integrate hardware and software systems within customer and internal ATM environments Participate in customer meetings, providing updates on investigations and progress Produce formal technical documentation, including procedures, high level designs, and network architectures Build and maintain strong, trusted relationships with customer stakeholders Contribute to continuous improvement, innovation, and knowledge sharing within the team Essential Skills & Experience: Experience working in regulated and safety critical environments (eg Defence, Aerospace, Rail, Nuclear, Oil & Gas, Automotive, Maritime) Strong hands on experience with: Linux (preferably RHEL) Virtualization (VMware, KVM) Networking (TCP/IP, multicast, routing) Scripting (Shell, Python) Experience with log analysis and system troubleshooting Familiarity with automation and provisioning tools (Ansible, Puppet) Network troubleshooting using tools such as Tcpdump and Wireshark Experience with software installation, deployment, and integration testing Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non technical stakeholders Strong customer facing skills and the ability to operate effectively under pressure Fluent English and willingness to undertake occasional business travel Desirable: Experience with container based technologies (Docker, Kubernetes) Experience working in highly distributed, multi site teams Spanish language skills To apply or find out more information on the role please send your CV
We are seeking a highly skilled Cisco ACI Automation and Network Scripting Specialist to support the engineering, automation, optimisation, and day to day operations of large scale data centre network environments. The ideal candidate will have deep expertise in Cisco ACI fabric, programmability, API driven network automation and SDN concepts within enterprise or regulated environments. This role will play a key part in designing automation frameworks, implementing scalable infrastructure as code solutions, and enhancing operational efficiency across the network estate. Key Responsibilities Cisco ACI Engineering & Operations Design, implement, and manage Cisco ACI fabric across multi site data centre environments. Configure ACI components including tenants, VRFs, EPGs, contracts, L3Outs, multipod environments and APIC clusters. Lead troubleshooting, root cause analysis and performance optimisation of SDN environments. Develop automation for lifecycle management of ACI policies and configurations. Network Automation & Scripting Build and maintain automation workflows using Python, Ansible, Bash, Terraform or similar tools. Use Cisco ACI APIs (REST, XML/JSON), ACI Toolkit and Cobra SDK for automated fabric management. Develop CI/CD pipelines for network configuration deployment and validation. Implement infrastructure as code approaches to standardise and streamline network provisioning. Operational Excellence & Governance Ensure alignment with internal security, compliance and architectural standards. Produce operational documentation, design diagrams and automation runbooks. Collaborate with security, cloud and platform teams to integrate ACI within the wider technology ecosystem. Support transition towards policy based and software defined networking models. Innovation & Continuous Improvement Evaluate new Cisco ACI features, SDN technologies, and automation tools for adoption. Drive reduction of manual effort through reusable templates and automation frameworks. Contribute to networking strategy, architectural enhancements and long term technology roadmaps. Required Qualifications & Experience Strong hands on experience with Cisco ACI, APIC, multi site architectures and SDN principles. Proficiency in Python, YAML, JSON and REST APIs. Experience with automation tools such as Ansible, Git, Jenkins, Terraform or equivalents. Strong understanding of core networking technologies, including: BGP, OSPF, VXLAN, EVPN, MPLS Layer 2 / Layer 3 switching and routing Security policies, segmentation and firewalls Experience operating in large scale or regulated enterprise environments (financial services preferred). Ability to troubleshoot complex technical issues in mission critical environments. Desirable Skills CCNP/CCIE, DevNet Professional/Expert or equivalent certifications. Experience with cloud networking (AWS, Azure) and hybrid connectivity. Experience automating Cisco Nexus, next generation firewalls, or F5 load balancers. Familiarity with monitoring platforms such as Splunk, Grafana, AppDynamics, or ACI Health Score. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a 12 Month Fixed Term Contract located in London. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory. Expectations regarding hybrid working As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the clients' offices or our own offices depending on the client) aligns to what our clients' policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require. Who We Are Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non differentiating services. Our 3 offerings are Managed Services Consulting & Solutions Technology To know more about Delta Capita and our culture, see Working at DC - Delta Capita.
Feb 25, 2026
Full time
We are seeking a highly skilled Cisco ACI Automation and Network Scripting Specialist to support the engineering, automation, optimisation, and day to day operations of large scale data centre network environments. The ideal candidate will have deep expertise in Cisco ACI fabric, programmability, API driven network automation and SDN concepts within enterprise or regulated environments. This role will play a key part in designing automation frameworks, implementing scalable infrastructure as code solutions, and enhancing operational efficiency across the network estate. Key Responsibilities Cisco ACI Engineering & Operations Design, implement, and manage Cisco ACI fabric across multi site data centre environments. Configure ACI components including tenants, VRFs, EPGs, contracts, L3Outs, multipod environments and APIC clusters. Lead troubleshooting, root cause analysis and performance optimisation of SDN environments. Develop automation for lifecycle management of ACI policies and configurations. Network Automation & Scripting Build and maintain automation workflows using Python, Ansible, Bash, Terraform or similar tools. Use Cisco ACI APIs (REST, XML/JSON), ACI Toolkit and Cobra SDK for automated fabric management. Develop CI/CD pipelines for network configuration deployment and validation. Implement infrastructure as code approaches to standardise and streamline network provisioning. Operational Excellence & Governance Ensure alignment with internal security, compliance and architectural standards. Produce operational documentation, design diagrams and automation runbooks. Collaborate with security, cloud and platform teams to integrate ACI within the wider technology ecosystem. Support transition towards policy based and software defined networking models. Innovation & Continuous Improvement Evaluate new Cisco ACI features, SDN technologies, and automation tools for adoption. Drive reduction of manual effort through reusable templates and automation frameworks. Contribute to networking strategy, architectural enhancements and long term technology roadmaps. Required Qualifications & Experience Strong hands on experience with Cisco ACI, APIC, multi site architectures and SDN principles. Proficiency in Python, YAML, JSON and REST APIs. Experience with automation tools such as Ansible, Git, Jenkins, Terraform or equivalents. Strong understanding of core networking technologies, including: BGP, OSPF, VXLAN, EVPN, MPLS Layer 2 / Layer 3 switching and routing Security policies, segmentation and firewalls Experience operating in large scale or regulated enterprise environments (financial services preferred). Ability to troubleshoot complex technical issues in mission critical environments. Desirable Skills CCNP/CCIE, DevNet Professional/Expert or equivalent certifications. Experience with cloud networking (AWS, Azure) and hybrid connectivity. Experience automating Cisco Nexus, next generation firewalls, or F5 load balancers. Familiarity with monitoring platforms such as Splunk, Grafana, AppDynamics, or ACI Health Score. How We Work Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire. This is a 12 Month Fixed Term Contract located in London. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory. Expectations regarding hybrid working As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the clients' offices or our own offices depending on the client) aligns to what our clients' policies and expectations are and these vary. Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require. Who We Are Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non differentiating services. Our 3 offerings are Managed Services Consulting & Solutions Technology To know more about Delta Capita and our culture, see Working at DC - Delta Capita.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Feb 25, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Feb 25, 2026
Full time
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Flint is looking for a Transmission Engineer for a contracting opportunity with one of the main telco providers in the UK. Key Responsibilities Own and manage the complete E2E performance life cycle across RAN, IP transport/backhaul, and EPC/5GC domains. Develop and maintain performance baselines, KPIs/KQIs, and SLAs across all network layers. Lead complex multi-domain root cause analyses using cross-stack performance indicators and diverse data sources (RAN OSS, crowd-sourced data, transmission, transport, and core network elements). Identify root causes of underperforming KPIs and define corrective measures to improve network performance. Investigate systematic and mission-critical issues affecting service performance. Deliver detailed E2E performance reports with clear recommendations and action plans. Analyse end-to-end signalling flows (S1/X2/NG, GTP-C/U, SIP/IMS, PFCP). Monitor and optimise EPC/5GC KPIs, including registration/attach success, bearer/session setup, VoLTE/VoNR call quality, and handover success. Assess and troubleshoot backhaul performance issues related to latency, jitter, congestion, and packet loss. Collaborate with IP/Transport teams to evaluate routing, QoS, traffic engineering, synchronisation (PTP, SyncE), and network resiliency. Identify bottlenecks across microwave, fibre backhaul, and aggregation networks. Coordinate with Core Engineering teams on capacity planning, feature enablement, and software upgrades. Work cross-functionally with internal teams and third-party suppliers to agree and implement performance improvements. Apply automation and analytics techniques (SQL, Python, Tableau, Power BI) to identify trends, anomalies, and optimisation opportunities. Technical Expertise Deep understanding of LTE and 5G NR technologies, including mobility, capacity, interference, coverage, and VoLTE/VoNR performance. Strong knowledge of EPC and 5GC core network architecture and cloud-native network functions. Expertise in IP/MPLS, Ethernet, QoS behaviours, and transport network performance. Solid understanding of 3GPP and ETSI standards. Knowledge of DTLS/SRTP protocols. Strong troubleshooting capability using Wireshark and protocol analysers for 4G/5G networks. Good knowledge of LTE parameters and timers. Familiarity with test tools and devices such as Accuver and other industry-standard performance tools.
Feb 25, 2026
Contractor
Flint is looking for a Transmission Engineer for a contracting opportunity with one of the main telco providers in the UK. Key Responsibilities Own and manage the complete E2E performance life cycle across RAN, IP transport/backhaul, and EPC/5GC domains. Develop and maintain performance baselines, KPIs/KQIs, and SLAs across all network layers. Lead complex multi-domain root cause analyses using cross-stack performance indicators and diverse data sources (RAN OSS, crowd-sourced data, transmission, transport, and core network elements). Identify root causes of underperforming KPIs and define corrective measures to improve network performance. Investigate systematic and mission-critical issues affecting service performance. Deliver detailed E2E performance reports with clear recommendations and action plans. Analyse end-to-end signalling flows (S1/X2/NG, GTP-C/U, SIP/IMS, PFCP). Monitor and optimise EPC/5GC KPIs, including registration/attach success, bearer/session setup, VoLTE/VoNR call quality, and handover success. Assess and troubleshoot backhaul performance issues related to latency, jitter, congestion, and packet loss. Collaborate with IP/Transport teams to evaluate routing, QoS, traffic engineering, synchronisation (PTP, SyncE), and network resiliency. Identify bottlenecks across microwave, fibre backhaul, and aggregation networks. Coordinate with Core Engineering teams on capacity planning, feature enablement, and software upgrades. Work cross-functionally with internal teams and third-party suppliers to agree and implement performance improvements. Apply automation and analytics techniques (SQL, Python, Tableau, Power BI) to identify trends, anomalies, and optimisation opportunities. Technical Expertise Deep understanding of LTE and 5G NR technologies, including mobility, capacity, interference, coverage, and VoLTE/VoNR performance. Strong knowledge of EPC and 5GC core network architecture and cloud-native network functions. Expertise in IP/MPLS, Ethernet, QoS behaviours, and transport network performance. Solid understanding of 3GPP and ETSI standards. Knowledge of DTLS/SRTP protocols. Strong troubleshooting capability using Wireshark and protocol analysers for 4G/5G networks. Good knowledge of LTE parameters and timers. Familiarity with test tools and devices such as Accuver and other industry-standard performance tools.
Salary and Grade: Grade A2 EUR 91,754 ( Bonn/Germany) or GBP 76,384 (Reading/UK) NET annual basic salary + other benefits Deadline for applications: 12/03/2026 Department: Forecasts and Services Location: Bonn, Germany or Reading, UK Contract type: STF-PL Contract Duration: 3.5 years up to 31 December 2029, with possibility of extensions Your role We are in search of a highly motivated Machine Learning Engineer (A2) to work with ECMWF and its Member States on the next generation of machine learning weather forecasting models. This role is an integral part of a dynamic team, consisting of scientists and software engineers contributing to building ECMWF's next generation of weather forecasting systems. At ECMWF, you will join a passionate community collectively aiming to bring novel technology and science to the cutting-edge of numerical weather prediction. With the recent breakthrough in Artificial Intelligence (AI) and the progress made in AI-driven weather forecasting, it becomes clear that AI will play a key role in the next generation of forecasting systems. To this end, ECMWF built a dedicated multi-disciplinary group to tackle these challenges. ECMWF has been the first operational weather centre to publish results of its own global machine-learning weather model - the Artificial Intelligence Forecasting System (AIFS). In this role, you will contribute to the development of the ECMWF open-source software stack, particularly Anemoi, working with scientists and users at ECMWF and in the Member States to design and implement machine-learning components for operational weather forecasting. You will support the development of machine learning components for training and inference, ensuring software is robust and scalable for operational use, and engage with the open-source community to improve usability and maintainability. The role involves close collaboration with Member State teams and may include travel. The role sits in the Machine Learning Engineering team, within the Innovation Platform. The primary focus of the team is to ensure that ECMWF's machine-learning tools are robust, scalable, and suitable for operational weather forecasting, while adapting to rapid scientific advances in data-driven forecasting. The team develops and maintains production-ready ML frameworks in close collaboration with scientists and engineers at ECMWF and in the Member States, ensuring they can be used reliably in operational and research environments. By continuously evolving the software and workflows, the team aims to keep ECMWF at the forefront of global weather prediction. About ECMWF The European Centre for Medium-Range Weather Forecasts (ECMWF) is a world leader in Numerical Weather Predictions providing high-quality data for weather forecasts and environmental monitoring. As an intergovernmental organisation, we collaborate internationally to serve our members and the wider community with global weather predictions, data and training activities that are critical to contribute to safe and thriving societies. The success of our activities depends on the funding and partnerships of the 35 Member and Co-operating States who provide the support and direction of our work. Our talented staff together with the international scientific community, and our powerful supercomputing capabilities, are the core of a 24/7 research and operational centre with a focus on medium and long-range predictions. We also hold one of the largest meteorological data archives in the world. ECMWF has also developed a strong partnership with the European Union and has been entrusted with the implementation and operation of the Destination Earth Initiative and the Climate Change and Atmosphere Monitoring Services of the Copernicus Programme and the Strengthening Early Earning in Africa (SEWA) Programme. Other areas of work include High Performance Computing and the development of digital tools that enable ECMWF to extend provision of data and products covering weather, climate, air quality, fire and flood prediction and monitoring. Our vision: The strength of a common goal Our mission: Deliver global numerical weather predictions focusing on the medium-range and monitoring of the Earth system to and with our Member States ECMWF is a multi-site organisation, with its headquarters in Reading, UK, a data centre in Bologna, Italy, and a large presence in Bonn, Germany, as a central location for our EU-related activities. ECMWF is internationally recognised as the voice of expertise in numerical weather predictions for forecasts and climate science. Actively contribute to the ECWMF open-source software stack, particularly designing, implementing, and maintaining features in Anemoi core and inference pipelines. Collaborate with scientists and users to translate research ideas into production-ready ML systems. Contribute to open-source development, including code reviews, documentation, and community interaction. Ensure models and software meet operational reliability, scalability, and performance requirements. Provide support to Member States to build their machine learning weather forecasting models. What we are looking for Excellent analytical and problem-solving skills with a proactive, continuous improvement approach. Initiative and ability to work collaboratively, with other ECMWF teams and external collaborators, but also able to work independently. Ability to work effectively in interdisciplinary teams (ML engineers, domain scientists, operations). Ability to maintain a supportive and user-focused approach. Good interpersonal and communication skills. Willingness to travel across Europe multiple times per year. Dedication, passion, and enthusiasm to succeed both individually and across teams of developers. Highly organised with the capacity to work on a diverse range of tasks to tight deadlines. Your profile Experience in machine learning workflows, including training and inference pipelines. Demonstrated experience developing object-oriented software in Python. Experience contributing to large-scale software projects, preferably open source related to machine learning and/or involving multiple software components. Experience dealing with users, gathering feedback and planning developments. Knowledge of model versioning, experiment tracking, and reproducibility. Experience with CI/CD pipelines and test-driven development would be an advantage. Experience designing and maintaining robust configuration systems and well-defined APIs, including the use of data validation and modelling tools such as Pydantic would be an advantage. Experience developing software for high-availability operational environments would be an advantage. Capability to develop scientific software to process large datasets, including familiarity with large multidimensional scientific data formats such as NetCDF, GRIB, Zarr, or HDF5 would be desirable. If you feel that you have the relevant profile and motivation to join us but don't meet precisely all of the skills above, we still encourage you to apply! Other information Grade remuneration: The successful candidates will be recruited according to the scales of the Co-ordinated Organisations. Details of salary scales and allowances are available on the ECMWF website at . Starting date:as soon as possible. Candidates are expected to relocate to the duty station. As a multi-site organisation, ECMWF has adopted a hybrid organisation model which allows flexibility to staff to mix office working and teleworking, including away from the duty station (within the area of our member states and co-operating states). Interviews by videoconference (MS Team) are expected to take place shortly after the vacancy closing date. Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions. Who can apply Applicants are invited to complete the online application form by clicking on the apply button below. At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion. Applications are invited from nationals from ECMWF Member States and Co-operating States. In these exceptional times, we also welcome applications from Ukrainian nationals for this vacancy. Applications from nationals from other countries may be considered in exceptional cases. ECMWF Member States and Co-operating States are: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Morocco, the Netherlands, Norway, North Macedonia, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and the United Kingdom. 2026-03-:59 (Europe/London) 2026-03-:59 (CET) . click apply for full job details
Feb 25, 2026
Full time
Salary and Grade: Grade A2 EUR 91,754 ( Bonn/Germany) or GBP 76,384 (Reading/UK) NET annual basic salary + other benefits Deadline for applications: 12/03/2026 Department: Forecasts and Services Location: Bonn, Germany or Reading, UK Contract type: STF-PL Contract Duration: 3.5 years up to 31 December 2029, with possibility of extensions Your role We are in search of a highly motivated Machine Learning Engineer (A2) to work with ECMWF and its Member States on the next generation of machine learning weather forecasting models. This role is an integral part of a dynamic team, consisting of scientists and software engineers contributing to building ECMWF's next generation of weather forecasting systems. At ECMWF, you will join a passionate community collectively aiming to bring novel technology and science to the cutting-edge of numerical weather prediction. With the recent breakthrough in Artificial Intelligence (AI) and the progress made in AI-driven weather forecasting, it becomes clear that AI will play a key role in the next generation of forecasting systems. To this end, ECMWF built a dedicated multi-disciplinary group to tackle these challenges. ECMWF has been the first operational weather centre to publish results of its own global machine-learning weather model - the Artificial Intelligence Forecasting System (AIFS). In this role, you will contribute to the development of the ECMWF open-source software stack, particularly Anemoi, working with scientists and users at ECMWF and in the Member States to design and implement machine-learning components for operational weather forecasting. You will support the development of machine learning components for training and inference, ensuring software is robust and scalable for operational use, and engage with the open-source community to improve usability and maintainability. The role involves close collaboration with Member State teams and may include travel. The role sits in the Machine Learning Engineering team, within the Innovation Platform. The primary focus of the team is to ensure that ECMWF's machine-learning tools are robust, scalable, and suitable for operational weather forecasting, while adapting to rapid scientific advances in data-driven forecasting. The team develops and maintains production-ready ML frameworks in close collaboration with scientists and engineers at ECMWF and in the Member States, ensuring they can be used reliably in operational and research environments. By continuously evolving the software and workflows, the team aims to keep ECMWF at the forefront of global weather prediction. About ECMWF The European Centre for Medium-Range Weather Forecasts (ECMWF) is a world leader in Numerical Weather Predictions providing high-quality data for weather forecasts and environmental monitoring. As an intergovernmental organisation, we collaborate internationally to serve our members and the wider community with global weather predictions, data and training activities that are critical to contribute to safe and thriving societies. The success of our activities depends on the funding and partnerships of the 35 Member and Co-operating States who provide the support and direction of our work. Our talented staff together with the international scientific community, and our powerful supercomputing capabilities, are the core of a 24/7 research and operational centre with a focus on medium and long-range predictions. We also hold one of the largest meteorological data archives in the world. ECMWF has also developed a strong partnership with the European Union and has been entrusted with the implementation and operation of the Destination Earth Initiative and the Climate Change and Atmosphere Monitoring Services of the Copernicus Programme and the Strengthening Early Earning in Africa (SEWA) Programme. Other areas of work include High Performance Computing and the development of digital tools that enable ECMWF to extend provision of data and products covering weather, climate, air quality, fire and flood prediction and monitoring. Our vision: The strength of a common goal Our mission: Deliver global numerical weather predictions focusing on the medium-range and monitoring of the Earth system to and with our Member States ECMWF is a multi-site organisation, with its headquarters in Reading, UK, a data centre in Bologna, Italy, and a large presence in Bonn, Germany, as a central location for our EU-related activities. ECMWF is internationally recognised as the voice of expertise in numerical weather predictions for forecasts and climate science. Actively contribute to the ECWMF open-source software stack, particularly designing, implementing, and maintaining features in Anemoi core and inference pipelines. Collaborate with scientists and users to translate research ideas into production-ready ML systems. Contribute to open-source development, including code reviews, documentation, and community interaction. Ensure models and software meet operational reliability, scalability, and performance requirements. Provide support to Member States to build their machine learning weather forecasting models. What we are looking for Excellent analytical and problem-solving skills with a proactive, continuous improvement approach. Initiative and ability to work collaboratively, with other ECMWF teams and external collaborators, but also able to work independently. Ability to work effectively in interdisciplinary teams (ML engineers, domain scientists, operations). Ability to maintain a supportive and user-focused approach. Good interpersonal and communication skills. Willingness to travel across Europe multiple times per year. Dedication, passion, and enthusiasm to succeed both individually and across teams of developers. Highly organised with the capacity to work on a diverse range of tasks to tight deadlines. Your profile Experience in machine learning workflows, including training and inference pipelines. Demonstrated experience developing object-oriented software in Python. Experience contributing to large-scale software projects, preferably open source related to machine learning and/or involving multiple software components. Experience dealing with users, gathering feedback and planning developments. Knowledge of model versioning, experiment tracking, and reproducibility. Experience with CI/CD pipelines and test-driven development would be an advantage. Experience designing and maintaining robust configuration systems and well-defined APIs, including the use of data validation and modelling tools such as Pydantic would be an advantage. Experience developing software for high-availability operational environments would be an advantage. Capability to develop scientific software to process large datasets, including familiarity with large multidimensional scientific data formats such as NetCDF, GRIB, Zarr, or HDF5 would be desirable. If you feel that you have the relevant profile and motivation to join us but don't meet precisely all of the skills above, we still encourage you to apply! Other information Grade remuneration: The successful candidates will be recruited according to the scales of the Co-ordinated Organisations. Details of salary scales and allowances are available on the ECMWF website at . Starting date:as soon as possible. Candidates are expected to relocate to the duty station. As a multi-site organisation, ECMWF has adopted a hybrid organisation model which allows flexibility to staff to mix office working and teleworking, including away from the duty station (within the area of our member states and co-operating states). Interviews by videoconference (MS Team) are expected to take place shortly after the vacancy closing date. Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions. Who can apply Applicants are invited to complete the online application form by clicking on the apply button below. At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion. Applications are invited from nationals from ECMWF Member States and Co-operating States. In these exceptional times, we also welcome applications from Ukrainian nationals for this vacancy. Applications from nationals from other countries may be considered in exceptional cases. ECMWF Member States and Co-operating States are: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Morocco, the Netherlands, Norway, North Macedonia, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Türkiye and the United Kingdom. 2026-03-:59 (Europe/London) 2026-03-:59 (CET) . click apply for full job details
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Feb 25, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Our Mission At Vertical Aerospace, we are pioneering the way for electric aviation. The Valo, our eVTOL (electric, vertical, take-off and landing), 'zero emissions' aircraft will set a new safety standard for how we will navigate the sky. We won't realise our mission following the same legacy processes and traditions our predecessors followed, instead, we want to 'redefine' aerospace best practices. We are growing quickly from a prototype business to a scaling SME, and the next few years will be critical to our success and delivering on our ambitious goals. Valo is targeting airliner-level safety certification in 2028 ahead of entering service with our airline and operator customers. Make your mark on the future of flight - this summer From June to August, we're offering a 3-month internship within our Flight Control Laws team - where the physics of flight meets cutting-edge control software. You'll be directly involved in developing and validating the control laws that govern how the Valo aircraft responds in flight. This isn't just an observational role - you'll get hands-on with model-based design, simulation, and data analysis from the very start. You'll collaborate with systems, software, and supplier teams to assess and refine how the aircraft behaves across its flight envelope. Throughout the internship, you'll be supported with mentorship, feedback, and the chance to learn from engineers solving some of the most complex problems in eVTOL development. If you're passionate about flight dynamics, control theory, and using code to shape aircraft behaviour, this is the internship for you. What you'll be doing Support the design and simulation of flight control laws Maintain and improve dynamic system models used in control development Analyse test and simulation data to assess control performance Help validate and verify control law functionality Contribute to automation of testing and data workflows Work with suppliers to understand system interfaces Document findings and design decisions clearly Who we're looking for We're looking for students who are analytical, hands-on, and eager to understand how theory becomes reality in the air. You should be: Studying aerospace, control, or a related engineering discipline Confident in control theory and system dynamics Experienced with MATLAB/Simulink for modelling or analysis Familiar with Python or other data tools Curious about aircraft behaviour and real-world flight performance Detail-oriented, collaborative, and keen to learn quickly If you don't meet every single requirement - that's okay. We value curiosity, initiative, and a drive to grow. What happens next? We're excited to learn more about you! Here's how our recruitment process works: Apply: Submit your CV along with a brief cover letter (at the top of your CV) addressing these three questions: What excites you about Vertical Aerospace? What are you hoping to gain from an internship with us? How do you stay organised when working on time-critical projects? (max 200 words) First Stage: Successful applicants will be asked to complete a short take-home written technical exercise Second Stage: We'll invite you to a friendly 20-minute video call with one of our Talent Partners to get to know you better. Final Stage: Ideally, our hiring manager would love to meet you face-to-face at our Camwal Court Bristol office . If that's not possible, we're happy to arrange a remote Teams interview instead. We're aiming to complete all stages by end of February so we can extend offers shortly afterwards. We'll keep you informed at every step of the journey. What can you expect from us? We're on a mission. Where others see limits, we see opportunity, and we work at pace. Working at Vertical isn't your average role but for those seeking a challenge, a flexible, supportive organisation and an incredible team; working here is an opportunity to do the best work of your career. Our approach promotes ingenuity and courage, while our environment builds success through diligence in safety and being open in the way we work. The only way we're going to assure the next chapter of aviation history is by working as a team, relentlessly, towards our goal. Our benefits Our people matter - we're not going anywhere without them. Which is why our company benefits go beyond the essentials. 26 days holiday, plus bank holiday 5 extra days per year to buy (or sell) 5 extra days holiday when you get married or enter a civil partnership Additional 4% of your salary to spend on extra benefits Award-winning digital health and wellbeing service Company performance based bonus - rewarding company and individual performance Company Share Scheme - open to every Vertical employee Company Pension Scheme - 5% and we match it Breakfast on us, every day We may just be the hardest job you've ever had, but we're confident it will be the most rewarding. Join the team today and help us shape the future of Advanced Air Mobility. Disclaimer Statement We encourage you to apply even if you may not have all the experience listed in the advert. We recognise that talent comes in various forms and we are committed to providing opportunities that create an environment of growth, diversity, and inclusion for everyone. As part of our desire to review and make our processes fair, we may ask you questions related to these aspects during the application process. For more information on how we will use your data, see our Legal section.
Feb 25, 2026
Full time
Our Mission At Vertical Aerospace, we are pioneering the way for electric aviation. The Valo, our eVTOL (electric, vertical, take-off and landing), 'zero emissions' aircraft will set a new safety standard for how we will navigate the sky. We won't realise our mission following the same legacy processes and traditions our predecessors followed, instead, we want to 'redefine' aerospace best practices. We are growing quickly from a prototype business to a scaling SME, and the next few years will be critical to our success and delivering on our ambitious goals. Valo is targeting airliner-level safety certification in 2028 ahead of entering service with our airline and operator customers. Make your mark on the future of flight - this summer From June to August, we're offering a 3-month internship within our Flight Control Laws team - where the physics of flight meets cutting-edge control software. You'll be directly involved in developing and validating the control laws that govern how the Valo aircraft responds in flight. This isn't just an observational role - you'll get hands-on with model-based design, simulation, and data analysis from the very start. You'll collaborate with systems, software, and supplier teams to assess and refine how the aircraft behaves across its flight envelope. Throughout the internship, you'll be supported with mentorship, feedback, and the chance to learn from engineers solving some of the most complex problems in eVTOL development. If you're passionate about flight dynamics, control theory, and using code to shape aircraft behaviour, this is the internship for you. What you'll be doing Support the design and simulation of flight control laws Maintain and improve dynamic system models used in control development Analyse test and simulation data to assess control performance Help validate and verify control law functionality Contribute to automation of testing and data workflows Work with suppliers to understand system interfaces Document findings and design decisions clearly Who we're looking for We're looking for students who are analytical, hands-on, and eager to understand how theory becomes reality in the air. You should be: Studying aerospace, control, or a related engineering discipline Confident in control theory and system dynamics Experienced with MATLAB/Simulink for modelling or analysis Familiar with Python or other data tools Curious about aircraft behaviour and real-world flight performance Detail-oriented, collaborative, and keen to learn quickly If you don't meet every single requirement - that's okay. We value curiosity, initiative, and a drive to grow. What happens next? We're excited to learn more about you! Here's how our recruitment process works: Apply: Submit your CV along with a brief cover letter (at the top of your CV) addressing these three questions: What excites you about Vertical Aerospace? What are you hoping to gain from an internship with us? How do you stay organised when working on time-critical projects? (max 200 words) First Stage: Successful applicants will be asked to complete a short take-home written technical exercise Second Stage: We'll invite you to a friendly 20-minute video call with one of our Talent Partners to get to know you better. Final Stage: Ideally, our hiring manager would love to meet you face-to-face at our Camwal Court Bristol office . If that's not possible, we're happy to arrange a remote Teams interview instead. We're aiming to complete all stages by end of February so we can extend offers shortly afterwards. We'll keep you informed at every step of the journey. What can you expect from us? We're on a mission. Where others see limits, we see opportunity, and we work at pace. Working at Vertical isn't your average role but for those seeking a challenge, a flexible, supportive organisation and an incredible team; working here is an opportunity to do the best work of your career. Our approach promotes ingenuity and courage, while our environment builds success through diligence in safety and being open in the way we work. The only way we're going to assure the next chapter of aviation history is by working as a team, relentlessly, towards our goal. Our benefits Our people matter - we're not going anywhere without them. Which is why our company benefits go beyond the essentials. 26 days holiday, plus bank holiday 5 extra days per year to buy (or sell) 5 extra days holiday when you get married or enter a civil partnership Additional 4% of your salary to spend on extra benefits Award-winning digital health and wellbeing service Company performance based bonus - rewarding company and individual performance Company Share Scheme - open to every Vertical employee Company Pension Scheme - 5% and we match it Breakfast on us, every day We may just be the hardest job you've ever had, but we're confident it will be the most rewarding. Join the team today and help us shape the future of Advanced Air Mobility. Disclaimer Statement We encourage you to apply even if you may not have all the experience listed in the advert. We recognise that talent comes in various forms and we are committed to providing opportunities that create an environment of growth, diversity, and inclusion for everyone. As part of our desire to review and make our processes fair, we may ask you questions related to these aspects during the application process. For more information on how we will use your data, see our Legal section.
About the Role We are building agentic workflows that operate directly inside our GTM and revenue stack. As a Principal AI / Automation Engineer, you will own the architecture, data and intelligence layer, and execution quality of autonomous and semi-autonomous agents that power GTM use cases such as event-based personalized communications, churn prevention, expansion, deal acceleration, and GTM intelligence. This role sits at the intersection of LLM-powered agents, Model Context Protocols (MCPs), Data warehouse, CRM systems, and GTM stack. You will work as an execution partner to the Global Head of GTM Systems, translating GTM goals into scalable, production-grade agentic systems with measurable revenue impact. Key Responsibilities Agentic Systems Architecture Design event-driven, multi-step agent workflows with reasoning, memory, and tools. Define standards for autonomy, guardrails, and human-in-the-loop escalation. Build reusable agent frameworks across churn, expansion, pipeline, and ops etc. Design, build, and maintain scalable ELT/ETL pipelines that centralize data from disparate GTM sources into our data warehouse. Own the "Reverse ETL" process to push actionable insights from the warehouse back into frontline tools (e.g., pushing lead scores into Salesforce or churn alerts into Slack). Model Context Protocols (MCPs) and Data warehouse integration Design and implement reusable MCPs that govern how agents request data, receive structured context, write back actions and outcomes for account & lifecycle context, product usage and adoption, pipeline, deal, and forecast context and customer health and revenue risk etc. Build secure connectors to data warehouses (Snowflake, BigQuery, Redshift, etc.), CRMs (Salesforce, HubSpot), Product, billing, and support systems etc. Ensure data freshness, correctness, and permission-aware access. Implement prompt strategies, tool calling, and RAG pipelines. Optimize agents for accuracy, latency, and cost. Build feedback loops to continuously improve agent decisions. Reliability, Governance & Trust Implement observability across MCP calls, data access, and agent decisions. Enforce role-based access control, PII handling, and auditability. Reduce hallucinations and ensure consistent revenue definitions. Preferred Experience and Qualifications Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related STEM field. A course providing deeper knowledge in AI/ML is preferred. 5+ years of data/AI engineering experience. Proven ownership of large-scale automation or AI systems. Hands on with LLMs (OpenAI, Anthropic etc.) and experience shipping LLM powered applications or agents. Strong in Python and/or TypeScript. Experience with agent frameworks (LangGraph, AutoGen, CrewAI, etc.). Deep experience with SQL, data modeling, and warehouses. Familiar with event driven architectures and workflow orchestration. Comfortable operating with high ambiguity and high ownership. Equal Opportunity Employer Multiplier Technologies Private Limited does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Feb 25, 2026
Full time
About the Role We are building agentic workflows that operate directly inside our GTM and revenue stack. As a Principal AI / Automation Engineer, you will own the architecture, data and intelligence layer, and execution quality of autonomous and semi-autonomous agents that power GTM use cases such as event-based personalized communications, churn prevention, expansion, deal acceleration, and GTM intelligence. This role sits at the intersection of LLM-powered agents, Model Context Protocols (MCPs), Data warehouse, CRM systems, and GTM stack. You will work as an execution partner to the Global Head of GTM Systems, translating GTM goals into scalable, production-grade agentic systems with measurable revenue impact. Key Responsibilities Agentic Systems Architecture Design event-driven, multi-step agent workflows with reasoning, memory, and tools. Define standards for autonomy, guardrails, and human-in-the-loop escalation. Build reusable agent frameworks across churn, expansion, pipeline, and ops etc. Design, build, and maintain scalable ELT/ETL pipelines that centralize data from disparate GTM sources into our data warehouse. Own the "Reverse ETL" process to push actionable insights from the warehouse back into frontline tools (e.g., pushing lead scores into Salesforce or churn alerts into Slack). Model Context Protocols (MCPs) and Data warehouse integration Design and implement reusable MCPs that govern how agents request data, receive structured context, write back actions and outcomes for account & lifecycle context, product usage and adoption, pipeline, deal, and forecast context and customer health and revenue risk etc. Build secure connectors to data warehouses (Snowflake, BigQuery, Redshift, etc.), CRMs (Salesforce, HubSpot), Product, billing, and support systems etc. Ensure data freshness, correctness, and permission-aware access. Implement prompt strategies, tool calling, and RAG pipelines. Optimize agents for accuracy, latency, and cost. Build feedback loops to continuously improve agent decisions. Reliability, Governance & Trust Implement observability across MCP calls, data access, and agent decisions. Enforce role-based access control, PII handling, and auditability. Reduce hallucinations and ensure consistent revenue definitions. Preferred Experience and Qualifications Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related STEM field. A course providing deeper knowledge in AI/ML is preferred. 5+ years of data/AI engineering experience. Proven ownership of large-scale automation or AI systems. Hands on with LLMs (OpenAI, Anthropic etc.) and experience shipping LLM powered applications or agents. Strong in Python and/or TypeScript. Experience with agent frameworks (LangGraph, AutoGen, CrewAI, etc.). Deep experience with SQL, data modeling, and warehouses. Familiar with event driven architectures and workflow orchestration. Comfortable operating with high ambiguity and high ownership. Equal Opportunity Employer Multiplier Technologies Private Limited does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
