Important: All applicants must be able to obtain Security Clearance and must hold British Nationality as their primary nationality. Dual Nationals can be considered. Working: The role offers flexible working but does require engineers on site for 4 days per week and is a on secure site where SC clearance is needed. Join a business at the forefront of innovation, with a lot to offer! A company backed by a record multi-year order book, offering long-term stability and sustained investment, with years of secured work ahead! We're looking for an Algorithm Developer to join a highly collaborative engineering environment working on complex, real-world systems. This is a fantastic opportunity to be part of a specialist team focused on developing advanced algorithms that sit at the heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. The Company: Invested in your growth - strong development, clear progression, and continuous learning. Global leader - cutting-edge defence innovation with an outstanding culture. Award-winning employer - Sunday Times Best Places to Work 2024 , Most Loved Organisation . People-first - Investors in People Gold & Wellbeing Platinum. Inclusive & supportive - 10+ employee networks and strong ED&I focus. Forces-friendly - top UK employer for veterans, Armed Forces Covenant Gold. Innovative & growing - work on advanced, international programmes. Flexible & rewarding - great benefits and flexible working. What You'll Be Doing: Designing, developing, and testing mathematical algorithms using tools such as MATLAB/Simulink and Python Interpreting technical requirements and translating them into effective algorithmic solutions Collaborating closely with multidisciplinary teams, including software engineers, to ensure seamless implementation Contributing to best practices and influencing how algorithms are developed across the wider team Applying a rigorous, quality-focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar Confidence working with mathematical concepts and applying them to real problems A strong attention to detail and commitment to producing high-quality work A proactive mindset with the drive to make an impact and contribute ideas Desirable Experience: Experience in the Defence / Aerospace or safety regulated environment would be advantageous. Geospatial data or geographic information systems (GIS) Even If you feel like you don't meet every requirement, we encourage you to reach out and apply.
26/05/2026
Full time
Important: All applicants must be able to obtain Security Clearance and must hold British Nationality as their primary nationality. Dual Nationals can be considered. Working: The role offers flexible working but does require engineers on site for 4 days per week and is a on secure site where SC clearance is needed. Join a business at the forefront of innovation, with a lot to offer! A company backed by a record multi-year order book, offering long-term stability and sustained investment, with years of secured work ahead! We're looking for an Algorithm Developer to join a highly collaborative engineering environment working on complex, real-world systems. This is a fantastic opportunity to be part of a specialist team focused on developing advanced algorithms that sit at the heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. The Company: Invested in your growth - strong development, clear progression, and continuous learning. Global leader - cutting-edge defence innovation with an outstanding culture. Award-winning employer - Sunday Times Best Places to Work 2024 , Most Loved Organisation . People-first - Investors in People Gold & Wellbeing Platinum. Inclusive & supportive - 10+ employee networks and strong ED&I focus. Forces-friendly - top UK employer for veterans, Armed Forces Covenant Gold. Innovative & growing - work on advanced, international programmes. Flexible & rewarding - great benefits and flexible working. What You'll Be Doing: Designing, developing, and testing mathematical algorithms using tools such as MATLAB/Simulink and Python Interpreting technical requirements and translating them into effective algorithmic solutions Collaborating closely with multidisciplinary teams, including software engineers, to ensure seamless implementation Contributing to best practices and influencing how algorithms are developed across the wider team Applying a rigorous, quality-focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar Confidence working with mathematical concepts and applying them to real problems A strong attention to detail and commitment to producing high-quality work A proactive mindset with the drive to make an impact and contribute ideas Desirable Experience: Experience in the Defence / Aerospace or safety regulated environment would be advantageous. Geospatial data or geographic information systems (GIS) Even If you feel like you don't meet every requirement, we encourage you to reach out and apply.
Business Systems Developer Ammanford 27972/611 50,000 Benefits Package: A starting salary of up to 50,000, depending on experience Hybrid flexibility - option to work 1 day from home Company Pension Scheme 25 days plus bank holidays Pension - up to 5% matched A leading advanced manufacturer operating from South Wales are currently looking to recruit a Business Systems Developer. As a business they supply a diverse range of industries and are growing significantly. This opportunity offers the chance to join an excellent manufacturing business along with genuine long-term career development and progression. The business operates an ERP system, but a lot of work still happens in spreadsheets, emails and manual processes. No one currently owns the gap between the systems and how people actually work. Its costing the business time and efficiency every day. The right person for this role is a process developer, who understands how a business operates and can build the technical solutions to make it run better. Role & Responsibilities: Analyse how work happens across the business and identify improvements Streamline processes by removing duplication, waste and manual steps Implement practical changes, with or without technology Build integrations, tools, and AI solutions to automate workflows Own and maintain solutions, tracking impact and efficiency gains A full job description can be provided upon request Knowledge, Skills & Experience: Previous experience in a business systems analyst role Strong analytical mindset Experience building integrations, APIs, and working with databases Comfortable working across both business processes and technical delivery If you are interested in more information, please contact Sam Paynter. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
26/05/2026
Full time
Business Systems Developer Ammanford 27972/611 50,000 Benefits Package: A starting salary of up to 50,000, depending on experience Hybrid flexibility - option to work 1 day from home Company Pension Scheme 25 days plus bank holidays Pension - up to 5% matched A leading advanced manufacturer operating from South Wales are currently looking to recruit a Business Systems Developer. As a business they supply a diverse range of industries and are growing significantly. This opportunity offers the chance to join an excellent manufacturing business along with genuine long-term career development and progression. The business operates an ERP system, but a lot of work still happens in spreadsheets, emails and manual processes. No one currently owns the gap between the systems and how people actually work. Its costing the business time and efficiency every day. The right person for this role is a process developer, who understands how a business operates and can build the technical solutions to make it run better. Role & Responsibilities: Analyse how work happens across the business and identify improvements Streamline processes by removing duplication, waste and manual steps Implement practical changes, with or without technology Build integrations, tools, and AI solutions to automate workflows Own and maintain solutions, tracking impact and efficiency gains A full job description can be provided upon request Knowledge, Skills & Experience: Previous experience in a business systems analyst role Strong analytical mindset Experience building integrations, APIs, and working with databases Comfortable working across both business processes and technical delivery If you are interested in more information, please contact Sam Paynter. If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Project Contractor Senior Data Engineer, Anti-Fraud Technology Manchester OR London Contract Purpose Technology, at the forefront of cybersecurity Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients' funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions. Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems. Build ELT pipelines, from source to presentation of data to our internal customers. Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience. Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes. Own the deployment and operations of the system across environments from development, test, and through to production. Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective. Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required. Experience as a data engineer. Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). Proficient using transformation tools such as PySpark/Pandas. Knowledge and practice of graph databases is preferred but not required. Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie. Great Expectations. Experience building cloud infrastructure using IaC (CloudFormation/Terraform). Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. An understanding of agile software development methodology, with scrum framework experience preferred. A desire to continuously learn and develop yourself in both technical and non-technical skillsets. Working at Vanguard We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
26/05/2026
Full time
Project Contractor Senior Data Engineer, Anti-Fraud Technology Manchester OR London Contract Purpose Technology, at the forefront of cybersecurity Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients' funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions. Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems. Build ELT pipelines, from source to presentation of data to our internal customers. Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience. Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes. Own the deployment and operations of the system across environments from development, test, and through to production. Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective. Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required. Experience as a data engineer. Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). Proficient using transformation tools such as PySpark/Pandas. Knowledge and practice of graph databases is preferred but not required. Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie. Great Expectations. Experience building cloud infrastructure using IaC (CloudFormation/Terraform). Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. An understanding of agile software development methodology, with scrum framework experience preferred. A desire to continuously learn and develop yourself in both technical and non-technical skillsets. Working at Vanguard We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Project Contractor Senior Data Engineer, Anti-Fraud Technology Manchester OR London Contract Purpose Technology, at the forefront of cybersecurity Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients' funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions. Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems. Build ELT pipelines, from source to presentation of data to our internal customers. Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience. Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes. Own the deployment and operations of the system across environments from development, test, and through to production. Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective. Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required. Experience as a data engineer. Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). Proficient using transformation tools such as PySpark/Pandas. Knowledge and practice of graph databases is preferred but not required. Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie. Great Expectations. Experience building cloud infrastructure using IaC (CloudFormation/Terraform). Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. An understanding of agile software development methodology, with scrum framework experience preferred. A desire to continuously learn and develop yourself in both technical and non-technical skillsets. Working at Vanguard We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
26/05/2026
Full time
Project Contractor Senior Data Engineer, Anti-Fraud Technology Manchester OR London Contract Purpose Technology, at the forefront of cybersecurity Vanguard manages over $11 trillion in assets across the globe, and with this comes an immense responsibility to safeguard our clients' funds from bad actors. As a digital-first company, our Enterprise Security & Fraud (ES&F) team aims to innovate using cutting edge technology to prevent fraud and financial crime on our investment platform. Join an established cybersecurity-focused development team for Vanguard Europe and be on the cutting edge of implementing a suite of tools to protect hundreds of thousands of clients across the UK & Europe. In this role you will: Be creative with solutions for business needs, it's important that we consider our options outside of what is already being done. We want to build resilient, future-proof novel solutions. Aid with the design and implement of pipelines for real-time analysis and critical decision making for operational systems. Build ELT pipelines, from source to presentation of data to our internal customers. Write high quality, testable and readable code, assist with code reviews, provide solution design input, build automated tests, create documentation, and other tasks throughout the development lifecycle. Collaborate closely with junior and senior developers, scrum master, and product owner to ensure the data is enabling our client experience. Identify and help implement continuous improvement of technical standards, methodologies, technologies, and processes. Own the deployment and operations of the system across environments from development, test, and through to production. Participate in agile meetings aligned to the scrum framework: sprint planning, daily scrums, sprint review, sprint retrospective. Qualifications we're looking for: A bachelor's degree in computer science, STEM or related discipline is a plus, but not strictly required. Experience as a data engineer. Strong experience with Python and SQL is required as well as a solid understanding of working in a cloud-based environment (AWS is preferred). Proficient using transformation tools such as PySpark/Pandas. Knowledge and practice of graph databases is preferred but not required. Key responsibilities/ Skills and experience Familiarity using data quality frameworks, ie. Great Expectations. Experience building cloud infrastructure using IaC (CloudFormation/Terraform). Demonstrable understanding of industry standards and best practices as it relates to development methodology such as testing, code quality and consistency. Great communication skills: the ability to bridge the gap between the technical and non-technical across various communication channels. An understanding of agile software development methodology, with scrum framework experience preferred. A desire to continuously learn and develop yourself in both technical and non-technical skillsets. Working at Vanguard We offer an attractive base salary, annual performance bonus (paid in January), partnership bonus (paid in June), and competitive benefits. Our hybrid working model includes office days on Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Why Vanguard? Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. It's what we stand for: value to investors. Inclusion Statement Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing." We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values. When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Shopify & Ecommerce Manager Sibie Holding Group UK, EU & US Full-time On-site - London base Hire Priority: Health & Wellness About Sibie Pharma Group We are a group of fast-growing online pharmacies serving patients and health-conscious consumers across the UK and EU, with imminent launches in the United States and the Gulf Cooperation Council (GCC). We sit at the intersection of health, science, and technology, making evidence-based pharmacy products accessible, personal, and trustworthy. The Role As a Shopify & Ecommerce Manager you will own the technical and operational backbone of our ecommerce business. This role ensures both of our Shopify stores are fast, stable, conversion-optimized, and continuously improving. You'll sit at the intersection of engineering, marketing, and growth, making sure every campaign lands on a high-performing storefront, and every customer journey is seamless. From managing the app ecosystem to optimizing site speed and checkout flows, your work will directly impact revenue, conversion rates, and average order value. Why This Role Matters Now We're operating across two pharmacy brands, multiple international markets, and subscription-based models. The complexity is growing, and so is the opportunity. This role is critical to ensuring our ecommerce infrastructure can support that scale. You'll own the systems that power performance: fast-loading pages, optimized product journeys, and a smart app stack that increases AOV through upsells and cross-sells, without increasing ad spend. What You'll Own Shopify Storefront & Theme Manage and optimize Shopify themes across both stores Technical conversion rate optimisation across both stores Implement UX/UI improvements that increase conversion rates Ensure storefront consistency across devices and markets App Stack Management Own and optimize the ecommerce app ecosystem (upsell, cross-sell, reviews, subscriptions) Evaluate, implement, and manage third-party apps for performance and ROI Reduce bloat while maximizing functionality and efficiency Catalogue & Market Management Maintain product catalogue across regions (pricing, availability, localization) Ensure accuracy and consistency across all SKUs and markets Support cross-border ecommerce operations and regional requirements Website Performance & Speed Monitor and improve Core Web Vitals and page load speed Identify and resolve performance bottlenecks Ensure fast, reliable site performance across all devices and geographies Automation & Workflows Build and manage Shopify Flow automations Collaborate with CRM to streamline lifecycle and operational workflows Reduce manual processes through smart automation Ecommerce Analytics & Reporting Track and report on revenue, conversion rates, AOV, and funnel performance Identify opportunities for optimization across the customer journey Work closely with marketing and product teams to align on performance insights Key Impact Areas Both Shopify Stores: Stability, scalability, and performance across all markets Upsell & Cross-sell: Increasing AOV through smart app usage and UX improvements Store Speed: Fast, frictionless user experience that supports conversion Catalogue & Apps: Clean, optimized infrastructure that supports growth How Success Is Measured Store Performance Improvement in conversion rates and revenue per visitor Stable, high-performing storefronts across all markets Speed & UX Strong Core Web Vitals and fast page load times Reduced friction across key user journeys (product to checkout) AOV Growth Measurable increase in average order value through upsell/cross-sell strategies Effective use of apps without degrading site performance Operational Excellence Accurate, well-managed product catalogue across regions Efficient, automated workflows reducing manual overhead Data & Optimization Clear reporting on ecommerce performance metrics Continuous identification and execution of improvement opportunities Who We Are Looking For You're a technically strong ecommerce operator who understands that performance lives in the details. You know how to make Shopify stores faster, cleaner, and more effective, and you're comfortable getting hands-on with themes, apps, and workflows. You think in systems, not just fixes. You care about conversion, speed, and scalability, and you understand how small improvements across the funnel compound into meaningful revenue gains. You're proactive, resourceful, and comfortable working across teams, bridging gaps between marketing, product, and operations to keep everything running smoothly. Essential Strong hands-on experience managing Shopify stores end-to-end Solid understanding of Shopify themes, Liquid, and frontend performance Experience managing and optimizing Shopify app ecosystems Proven ability to improve site speed and Core Web Vitals Experience with product catalogue management across multiple markets Strong understanding of ecommerce KPIs (conversion rate, AOV, revenue) Experience with Shopify Flow or similar automation tools Analytical mindset with the ability to translate data into improvements Highly Desirable Experience with Shopify Plus Background in subscription-based ecommerce models Experience in cross-border ecommerce (multi-region pricing, localization) Familiarity with CRO principles and experimentation frameworks Experience integrating ecommerce with CRM or lifecycle marketing tools Exposure to regulated industries (e.g., pharmacy, healthcare) Ability to collaborate with developers or make light code changes independently What We Offer Our team, our methods, and our technology define our identity. Immerse yourself in a dynamic, stimulating, and fulfilling environment where you have a real chance to impact the healthcare sector. A genuinely ground-floor creative role in a group of companies at an inflection point Exposure to three of the world's most exciting markets: UK, EU and US Clear path to Head of Ecommerce as the team scales in Phase 2 Competitive salary of £35,000 - £50,000 DOE, plus performance-related bonus A fast-moving, founder-led culture where great ideas are acted on, not buried in process
26/05/2026
Full time
Shopify & Ecommerce Manager Sibie Holding Group UK, EU & US Full-time On-site - London base Hire Priority: Health & Wellness About Sibie Pharma Group We are a group of fast-growing online pharmacies serving patients and health-conscious consumers across the UK and EU, with imminent launches in the United States and the Gulf Cooperation Council (GCC). We sit at the intersection of health, science, and technology, making evidence-based pharmacy products accessible, personal, and trustworthy. The Role As a Shopify & Ecommerce Manager you will own the technical and operational backbone of our ecommerce business. This role ensures both of our Shopify stores are fast, stable, conversion-optimized, and continuously improving. You'll sit at the intersection of engineering, marketing, and growth, making sure every campaign lands on a high-performing storefront, and every customer journey is seamless. From managing the app ecosystem to optimizing site speed and checkout flows, your work will directly impact revenue, conversion rates, and average order value. Why This Role Matters Now We're operating across two pharmacy brands, multiple international markets, and subscription-based models. The complexity is growing, and so is the opportunity. This role is critical to ensuring our ecommerce infrastructure can support that scale. You'll own the systems that power performance: fast-loading pages, optimized product journeys, and a smart app stack that increases AOV through upsells and cross-sells, without increasing ad spend. What You'll Own Shopify Storefront & Theme Manage and optimize Shopify themes across both stores Technical conversion rate optimisation across both stores Implement UX/UI improvements that increase conversion rates Ensure storefront consistency across devices and markets App Stack Management Own and optimize the ecommerce app ecosystem (upsell, cross-sell, reviews, subscriptions) Evaluate, implement, and manage third-party apps for performance and ROI Reduce bloat while maximizing functionality and efficiency Catalogue & Market Management Maintain product catalogue across regions (pricing, availability, localization) Ensure accuracy and consistency across all SKUs and markets Support cross-border ecommerce operations and regional requirements Website Performance & Speed Monitor and improve Core Web Vitals and page load speed Identify and resolve performance bottlenecks Ensure fast, reliable site performance across all devices and geographies Automation & Workflows Build and manage Shopify Flow automations Collaborate with CRM to streamline lifecycle and operational workflows Reduce manual processes through smart automation Ecommerce Analytics & Reporting Track and report on revenue, conversion rates, AOV, and funnel performance Identify opportunities for optimization across the customer journey Work closely with marketing and product teams to align on performance insights Key Impact Areas Both Shopify Stores: Stability, scalability, and performance across all markets Upsell & Cross-sell: Increasing AOV through smart app usage and UX improvements Store Speed: Fast, frictionless user experience that supports conversion Catalogue & Apps: Clean, optimized infrastructure that supports growth How Success Is Measured Store Performance Improvement in conversion rates and revenue per visitor Stable, high-performing storefronts across all markets Speed & UX Strong Core Web Vitals and fast page load times Reduced friction across key user journeys (product to checkout) AOV Growth Measurable increase in average order value through upsell/cross-sell strategies Effective use of apps without degrading site performance Operational Excellence Accurate, well-managed product catalogue across regions Efficient, automated workflows reducing manual overhead Data & Optimization Clear reporting on ecommerce performance metrics Continuous identification and execution of improvement opportunities Who We Are Looking For You're a technically strong ecommerce operator who understands that performance lives in the details. You know how to make Shopify stores faster, cleaner, and more effective, and you're comfortable getting hands-on with themes, apps, and workflows. You think in systems, not just fixes. You care about conversion, speed, and scalability, and you understand how small improvements across the funnel compound into meaningful revenue gains. You're proactive, resourceful, and comfortable working across teams, bridging gaps between marketing, product, and operations to keep everything running smoothly. Essential Strong hands-on experience managing Shopify stores end-to-end Solid understanding of Shopify themes, Liquid, and frontend performance Experience managing and optimizing Shopify app ecosystems Proven ability to improve site speed and Core Web Vitals Experience with product catalogue management across multiple markets Strong understanding of ecommerce KPIs (conversion rate, AOV, revenue) Experience with Shopify Flow or similar automation tools Analytical mindset with the ability to translate data into improvements Highly Desirable Experience with Shopify Plus Background in subscription-based ecommerce models Experience in cross-border ecommerce (multi-region pricing, localization) Familiarity with CRO principles and experimentation frameworks Experience integrating ecommerce with CRM or lifecycle marketing tools Exposure to regulated industries (e.g., pharmacy, healthcare) Ability to collaborate with developers or make light code changes independently What We Offer Our team, our methods, and our technology define our identity. Immerse yourself in a dynamic, stimulating, and fulfilling environment where you have a real chance to impact the healthcare sector. A genuinely ground-floor creative role in a group of companies at an inflection point Exposure to three of the world's most exciting markets: UK, EU and US Clear path to Head of Ecommerce as the team scales in Phase 2 Competitive salary of £35,000 - £50,000 DOE, plus performance-related bonus A fast-moving, founder-led culture where great ideas are acted on, not buried in process
Full Stack Engineer (Kotlin and/or Python) - VP Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Department Overview Equities Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. Role Overview Citi is seeking an accomplished and highly motivated Vice President (VP) level developer to join our Strategic Equity Solutions (SES) team. This role offers the opportunity to contribute to the creation of greenfield services focused on enhancing trader workflow tooling. As a key member of an agile, self organizing team, you will have direct engagement with business users globally, offering substantial autonomy in technology decisions. Our team is committed to continuous delivery, owning the entire pipeline to production, and striving for frequent releases that drive immediate business value. What will you do Design & Develop: Iteratively develop robust, high performance software solutions from initial concept through to production deployment, directly impacting trader efficiency and capabilities. Business Acumen & Product Ownership: Collaborate closely with business stakeholders, demonstrating a keen understanding of business drivers and a strong product owner mindset. Translate complex requirements into technical specifications and innovative solutions that address critical trading needs. Functionally, this role will directly support the Strategic Equity Solutions (SES) business. Code Excellence: Produce clean, efficient, and well documented code, adhering to best practices and contributing to a high quality codebase. Engineering Leadership: Champion and share best engineering practices, foster a culture of continuous improvement, and mentor junior colleagues across the wider technology team. Technically, you will be an integral part of the ABS team. Innovation & Adaptation: Proactively evaluate and integrate new technologies, including AI tooling, to maintain a leading edge in our solutions. Full Lifecycle Ownership: Take ownership of the entire software development lifecycle, from design and development to testing, deployment and monitoring in a DevOps centric environment. Key Skills and Experience We are looking for a versatile and experienced professional. This position can be tailored to a Full Stack Developer or a dedicated Backend Developer, depending on the candidate's core strengths and career aspirations. Technology Skills Desired Backend Expertise (Mandatory for Backend Role, Highly Desired for Full Stack): Strong proficiency in modern backend languages such as Kotlin and/or Python. Extensive experience with microservices architecture and developing scalable, resilient services. Demonstrated experience deploying and managing applications within containerisation platforms like Kubernetes and OpenShift. Frontend Expertise: Experienced in Python based frontend frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC: Deep understanding and practical application of DevOps principles, including CI/CD pipelines, automated testing and trunk based development. A strong commitment to fully automated testing and continuous integration. Domain Knowledge: Prior experience with front office applications and an understanding of trading workflows, financial instruments or market data will be a significant advantage. Educational Background: Bachelor's degree or University degree in Computer Science, Engineering or a related field, or equivalent practical experience in a similar role. What we'll provide you 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 Access to an array of learning and development resources Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster. Accessibility at Citi.
26/05/2026
Full time
Full Stack Engineer (Kotlin and/or Python) - VP Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Department Overview Equities Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. Role Overview Citi is seeking an accomplished and highly motivated Vice President (VP) level developer to join our Strategic Equity Solutions (SES) team. This role offers the opportunity to contribute to the creation of greenfield services focused on enhancing trader workflow tooling. As a key member of an agile, self organizing team, you will have direct engagement with business users globally, offering substantial autonomy in technology decisions. Our team is committed to continuous delivery, owning the entire pipeline to production, and striving for frequent releases that drive immediate business value. What will you do Design & Develop: Iteratively develop robust, high performance software solutions from initial concept through to production deployment, directly impacting trader efficiency and capabilities. Business Acumen & Product Ownership: Collaborate closely with business stakeholders, demonstrating a keen understanding of business drivers and a strong product owner mindset. Translate complex requirements into technical specifications and innovative solutions that address critical trading needs. Functionally, this role will directly support the Strategic Equity Solutions (SES) business. Code Excellence: Produce clean, efficient, and well documented code, adhering to best practices and contributing to a high quality codebase. Engineering Leadership: Champion and share best engineering practices, foster a culture of continuous improvement, and mentor junior colleagues across the wider technology team. Technically, you will be an integral part of the ABS team. Innovation & Adaptation: Proactively evaluate and integrate new technologies, including AI tooling, to maintain a leading edge in our solutions. Full Lifecycle Ownership: Take ownership of the entire software development lifecycle, from design and development to testing, deployment and monitoring in a DevOps centric environment. Key Skills and Experience We are looking for a versatile and experienced professional. This position can be tailored to a Full Stack Developer or a dedicated Backend Developer, depending on the candidate's core strengths and career aspirations. Technology Skills Desired Backend Expertise (Mandatory for Backend Role, Highly Desired for Full Stack): Strong proficiency in modern backend languages such as Kotlin and/or Python. Extensive experience with microservices architecture and developing scalable, resilient services. Demonstrated experience deploying and managing applications within containerisation platforms like Kubernetes and OpenShift. Frontend Expertise: Experienced in Python based frontend frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC: Deep understanding and practical application of DevOps principles, including CI/CD pipelines, automated testing and trunk based development. A strong commitment to fully automated testing and continuous integration. Domain Knowledge: Prior experience with front office applications and an understanding of trading workflows, financial instruments or market data will be a significant advantage. Educational Background: Bachelor's degree or University degree in Computer Science, Engineering or a related field, or equivalent practical experience in a similar role. What we'll provide you 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 Access to an array of learning and development resources Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster. Accessibility at Citi.
Sage is a forward-thinking technology company that specialises in software. The team you'd be applying for models itself on creating a robust culture of belonging. We pride ourselves on fostering a fast-paced, innovative environment where experimentation and continuous improvement are highly valued. Our infrastructure is built on AWS, enabling us to deliver robust and scalable solutions to our clients. The key purpose of this role is to help the team develop Embeddable UI components using React as the preferred technology of choice. You will be supported by being positioned in a squad with a strong lead, principal, senior, mid-level and graduate engineer set up, that will support your growth as well as a leader who will invest in your career. This is a hybrid role, requiring three days per week in our Newcastle office. Responsibilities Design, develop, and maintain a new high-quality, scalable front-end application that integrates with internal APIs bringing it together as a complete solution. You will collaborate closely with Product, Design, and QA to ship an elegant, performant, and reliable product that delivers a seamless user experience. Additional Responsibilities Design, develop, and maintain scalable and high-performance APIs and backend services using C#, .NET and node.js technologies that integrate with other Sage products. Collaborate with global teams across Sage, to define, design, deliver and maintain services across the Payroll and HR Business Unit. Work cross-functionally with various Sage teams: Product management, QA/XD, various product lines and business units to deliver for our customers. Ensure the performance, quality, and responsiveness of applications. Resolve defects/bugs during QA testing, pre-production, production, and post-release patches. Help maintain code quality, organization, and automatization. Utilise AWS services to build, deploy, and manage applications. Experiment with new technologies and methodologies to improve our development processes and product offerings. Participate in code reviews, providing constructive feedback to peers. Maintain relevant documentation to describe logic, coding/configuration, testing and changes where applicable. Contribute to the continuous improvement of our software development lifecycle. Be an active and enthusiastic team player. Partner effectively with all team members to deliver against commitments. What we're looking for Experience in front end development with a focus on React/Accessibility etc. Experience in software development with a focus on C#, .NET and/or node.js. Experience using Github Co-Pilot as a complimentary tool building on your own skills making deliver as efficient as possible. Experienced in building and consuming APIs and backend services. Knowledge of AWS services (e.g., EC2, S3, RDS, Lambda, API Gateway, DocumentDB etc.) Proven experience with Agile Development & SCRUM. Experience with relational databases would be beneficial (e.g., SQL Server, MySQL) and/or NoSQL databases (e.g., DynamoDB, MongoDB). Experience with version control in Git and CI/CD pipelines. Strong problem-solving skills and attention to detail. Ability to work effectively in a fast-paced, agile environment. Good communication and collaboration skills. Bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.
26/05/2026
Full time
Sage is a forward-thinking technology company that specialises in software. The team you'd be applying for models itself on creating a robust culture of belonging. We pride ourselves on fostering a fast-paced, innovative environment where experimentation and continuous improvement are highly valued. Our infrastructure is built on AWS, enabling us to deliver robust and scalable solutions to our clients. The key purpose of this role is to help the team develop Embeddable UI components using React as the preferred technology of choice. You will be supported by being positioned in a squad with a strong lead, principal, senior, mid-level and graduate engineer set up, that will support your growth as well as a leader who will invest in your career. This is a hybrid role, requiring three days per week in our Newcastle office. Responsibilities Design, develop, and maintain a new high-quality, scalable front-end application that integrates with internal APIs bringing it together as a complete solution. You will collaborate closely with Product, Design, and QA to ship an elegant, performant, and reliable product that delivers a seamless user experience. Additional Responsibilities Design, develop, and maintain scalable and high-performance APIs and backend services using C#, .NET and node.js technologies that integrate with other Sage products. Collaborate with global teams across Sage, to define, design, deliver and maintain services across the Payroll and HR Business Unit. Work cross-functionally with various Sage teams: Product management, QA/XD, various product lines and business units to deliver for our customers. Ensure the performance, quality, and responsiveness of applications. Resolve defects/bugs during QA testing, pre-production, production, and post-release patches. Help maintain code quality, organization, and automatization. Utilise AWS services to build, deploy, and manage applications. Experiment with new technologies and methodologies to improve our development processes and product offerings. Participate in code reviews, providing constructive feedback to peers. Maintain relevant documentation to describe logic, coding/configuration, testing and changes where applicable. Contribute to the continuous improvement of our software development lifecycle. Be an active and enthusiastic team player. Partner effectively with all team members to deliver against commitments. What we're looking for Experience in front end development with a focus on React/Accessibility etc. Experience in software development with a focus on C#, .NET and/or node.js. Experience using Github Co-Pilot as a complimentary tool building on your own skills making deliver as efficient as possible. Experienced in building and consuming APIs and backend services. Knowledge of AWS services (e.g., EC2, S3, RDS, Lambda, API Gateway, DocumentDB etc.) Proven experience with Agile Development & SCRUM. Experience with relational databases would be beneficial (e.g., SQL Server, MySQL) and/or NoSQL databases (e.g., DynamoDB, MongoDB). Experience with version control in Git and CI/CD pipelines. Strong problem-solving skills and attention to detail. Ability to work effectively in a fast-paced, agile environment. Good communication and collaboration skills. Bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience.
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
26/05/2026
Full time
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
Google - London, UK Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 8 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialisation in another ML field. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 8 years of experience in a technical leadership role leading project teams and setting technical direction. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between core product developing teams and customer needs, directly accelerating customer success and shaping the future of AI products. Applied AI builds conversational agents deployed at a large-scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering managed by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. Responsibilities Partner directly with customers to understand their business issues while designing, co-developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value. Systematise insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation-wide use. Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
26/05/2026
Full time
Google - London, UK Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 8 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 8 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialisation in another ML field. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 8 years of experience in a technical leadership role leading project teams and setting technical direction. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between core product developing teams and customer needs, directly accelerating customer success and shaping the future of AI products. Applied AI builds conversational agents deployed at a large-scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering managed by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. Responsibilities Partner directly with customers to understand their business issues while designing, co-developing, debugging, and deploying custom conversational AI agents and solutions to accelerate their time to value. Systematise insights from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices for organisation-wide use. Act as a problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
26/05/2026
Full time
Senior Machine Learning Engineer About the Role We are looking for a Senior ML Engineer to take technical ownership of our machine learning production environment. You will lead the transition of experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle-from automated training pipelines to real-time inference clusters-and serve as a key software engineering contributor to our AI product stack. This is a hybrid role - three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle is versioned and reproducible Software Engineering Best Practices Lead the team in adopting professional engineering standards Own the strategy for unit/integration testing, peer code reviews, and applying SOLID principles to ML codebases to ensure they remain modular and maintainable ML Observability Establish and own the telemetry framework for the AI stack Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy FinOps & Cost Management Own the strategy for AI cloud spend Build monitoring and alerting frameworks to track compute costs (training and inference) Implement optimization strategies like auto-scaling and spot-instance usage AI Systems Engineering Act as a lead software engineer to integrate models into the product ecosystem Develop high-performance, secure APIs and microservices that wrap our ML capabilities for production consumption Data & Model Governance Own the versioning strategy for the "Holy Trinity" of ML: code, data, and model artifacts Ensure clear documentation and audit trails for all production deployments What We're Looking For Essential Skills (Entry Requirements) Demonstrating strong software engineering fundamentals, including production-quality Python, testing, CI/CD practices, and version control Designing and operating reliable, versioned REST APIs using an API-first approach Building, deploying, and operating backend services in cloud environments, with AWS as the primary platform (experience on other major clouds considered transferable) Using containerisation and modern deployment approaches, including Docker, automated pipelines, and basic observability Working effectively with real-world data and production systems in collaboration with product, data, and platform teams Bringing either hands on experience delivering machine learning systems in production or a very strong software engineering background with clear motivation to grow into ML and MLOps Desirable Skills (Strong Differentiators) Using AWS SageMaker for training, deploying, and operating machine learning workloads, or demonstrating equivalent experience on similar cloud ML platforms Exposing machine learning models via APIs (e.g. FastAPI based inference services) and operating them reliably at scale Applying MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event driven architectures, or multi version services Serving LLM or GenAI based capabilities in production, including model serving, RAG pipelines, and inference controls Designing reusable, platform level services and shared ML patterns rather than one off implementations Managing cloud operational trade offs, including cost efficiency, latency, scalability, and reliability Function: Service Fabric (Data and Developer Services) Country: United Kingdom Office Location: Newcastle Work Place Type: Hybrid
Job Title: AWS Cloud DeveloperJob Location: Guildford, UKJob Type: Contract / PermanentAbout Us: We are currently seeking a skilled AWS Cloud Developer with a strong background in data engineering to join our dynamic team. This role will focus on large-scale data engineering projects using AWS cloud-native capabilities.Job Description: As an AWS Cloud Developer with Data Engineering skills, you will be responsible for designing, developing, and maintaining scalable data solutions on the AWS platform. You will work closely with cross-functional teams to ensure seamless integration and optimal performance of our data engineering projects.Key Responsibilities:Design, develop, and implement data pipelines and ETL processes using AWS services.Collaborate directly with our FinOps teams and market units across the organization to understand data requirements and deliver solutions that meet business needs.Optimize and manage data storage solutions using AWS services such as S3, RDS, and NoSQL databases.Ensure data quality, integrity, and security across all data engineering projects.Monitor and troubleshoot data workflows to ensure high availability and performance.Design and build advanced and interactive dashboards using tools such as AWS QuickSight and Power BI.Create and oversee a cloud billing dashboard to track, manage and optimize cloud costs and Reserved Instance purchasesBuild a dashboard that provides secure selfservice capabilities to all teams on cloud spendKnowledge of DevOps practices and CI/CD pipelines.Stay updated with the latest AWS technologies and best practices to continuously improve our data infrastructure.Solve technical problems and create viable toolingDesign and implement shared services in cloud infrastructure.Use best appropriate infrastructure automation tools to provision cloud infrastructure componentsAttend important Agile events and finish assigned work packages / tasksEnsure smooth handover of project deliverables to internal and external customersActively contributing to internal projects such as tooling and documentationMentor new team memberPromote the use of automation to solve technical challengesSkills:Bachelor's degree in computer science, Information Technology, or a related field.Proven experience as a Cloud Developer or Data Engineer, with a focus on AWS.Strong proficiency in AWS services such as EKS, EC2, S3, Lambda, Glue.Solid understanding of data modeling, ETL processes, and data warehousing concepts.Strong proficiency in PythonFamiliarity with infrastructure as code tools like CloudFormation or Terraform.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Experience in building and utilizing REST APIs.Experience building and running Kubernetes Background Tasks with Batch-Jobs.Hands on experience Git-Hub ActionPreferred Qualifications:AWS Certified DevOps Engineer - Professional and or AWS Certified Data Engineer - AssociateKnowledge of DevOps practices and CI/CD pipelines.Knowledge in using Flask framework to create dynamic websites, APIs or microservices is a plus.
26/05/2026
Full time
Job Title: AWS Cloud DeveloperJob Location: Guildford, UKJob Type: Contract / PermanentAbout Us: We are currently seeking a skilled AWS Cloud Developer with a strong background in data engineering to join our dynamic team. This role will focus on large-scale data engineering projects using AWS cloud-native capabilities.Job Description: As an AWS Cloud Developer with Data Engineering skills, you will be responsible for designing, developing, and maintaining scalable data solutions on the AWS platform. You will work closely with cross-functional teams to ensure seamless integration and optimal performance of our data engineering projects.Key Responsibilities:Design, develop, and implement data pipelines and ETL processes using AWS services.Collaborate directly with our FinOps teams and market units across the organization to understand data requirements and deliver solutions that meet business needs.Optimize and manage data storage solutions using AWS services such as S3, RDS, and NoSQL databases.Ensure data quality, integrity, and security across all data engineering projects.Monitor and troubleshoot data workflows to ensure high availability and performance.Design and build advanced and interactive dashboards using tools such as AWS QuickSight and Power BI.Create and oversee a cloud billing dashboard to track, manage and optimize cloud costs and Reserved Instance purchasesBuild a dashboard that provides secure selfservice capabilities to all teams on cloud spendKnowledge of DevOps practices and CI/CD pipelines.Stay updated with the latest AWS technologies and best practices to continuously improve our data infrastructure.Solve technical problems and create viable toolingDesign and implement shared services in cloud infrastructure.Use best appropriate infrastructure automation tools to provision cloud infrastructure componentsAttend important Agile events and finish assigned work packages / tasksEnsure smooth handover of project deliverables to internal and external customersActively contributing to internal projects such as tooling and documentationMentor new team memberPromote the use of automation to solve technical challengesSkills:Bachelor's degree in computer science, Information Technology, or a related field.Proven experience as a Cloud Developer or Data Engineer, with a focus on AWS.Strong proficiency in AWS services such as EKS, EC2, S3, Lambda, Glue.Solid understanding of data modeling, ETL processes, and data warehousing concepts.Strong proficiency in PythonFamiliarity with infrastructure as code tools like CloudFormation or Terraform.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.Experience in building and utilizing REST APIs.Experience building and running Kubernetes Background Tasks with Batch-Jobs.Hands on experience Git-Hub ActionPreferred Qualifications:AWS Certified DevOps Engineer - Professional and or AWS Certified Data Engineer - AssociateKnowledge of DevOps practices and CI/CD pipelines.Knowledge in using Flask framework to create dynamic websites, APIs or microservices is a plus.
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Senior Data Engineer You'll be part of the Operations Delivery Intelligence (ODI) directorate, working in data delivery teams that build and operate the data pipelines and platforms underpinning data products across the organisation. This team plays a critical role in enabling scalable, secure and high performing data solutions that support business decision making and value creation. What you'll do: Design, build, test and deploy secure, scalable data pipelines Operate and maintain data products, ensuring availability, performance and resilience through monitoring, alerting and incident management Write code and automation scripts to manage and optimise data flows Participate in service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Contribute to data processing documentation and ensure changes are tracked and version controlled Support senior engineers in defining and embedding engineering patterns, coding standards and automated testing practices Actively participate in agile ceremonies, delivery planning and retrospectives Improve developer experience by working with data product teams to streamline integration and resolve platform issues Line manage Data Engineers and support their development Participate in an on call rota to support data products What you'll bring to British Airways: Strong hands on data engineering capability in cloud based environments Deep understanding of data ingestion, processing, testing and monitoring practices Experience supporting production data systems and resolving operational issues Confidence writing maintainable, well tested code and automation Strong delivery and accountability mindset Ability to work collaboratively within agile teams Clear communication skills and openness to feedback Proactive approach to problem solving and continuous improvement Your experience: Extensive experience in a technical or engineering role within a cloud data engineering environment. Extensive experience using some of all of BA core coding languages and technology stack. Deep understanding data processing, testing, and monitoring practices and frameworks. Knowledge of supporting production data systems and resolving operational issues. Experienced in CI/CD processes and agile development workflows. Sound working knowledge of information security principles and access control within platform environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
26/05/2026
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. Senior Data Engineer You'll be part of the Operations Delivery Intelligence (ODI) directorate, working in data delivery teams that build and operate the data pipelines and platforms underpinning data products across the organisation. This team plays a critical role in enabling scalable, secure and high performing data solutions that support business decision making and value creation. What you'll do: Design, build, test and deploy secure, scalable data pipelines Operate and maintain data products, ensuring availability, performance and resilience through monitoring, alerting and incident management Write code and automation scripts to manage and optimise data flows Participate in service reviews, health checks and root cause analysis to improve reliability and reduce operational overhead Contribute to data processing documentation and ensure changes are tracked and version controlled Support senior engineers in defining and embedding engineering patterns, coding standards and automated testing practices Actively participate in agile ceremonies, delivery planning and retrospectives Improve developer experience by working with data product teams to streamline integration and resolve platform issues Line manage Data Engineers and support their development Participate in an on call rota to support data products What you'll bring to British Airways: Strong hands on data engineering capability in cloud based environments Deep understanding of data ingestion, processing, testing and monitoring practices Experience supporting production data systems and resolving operational issues Confidence writing maintainable, well tested code and automation Strong delivery and accountability mindset Ability to work collaboratively within agile teams Clear communication skills and openness to feedback Proactive approach to problem solving and continuous improvement Your experience: Extensive experience in a technical or engineering role within a cloud data engineering environment. Extensive experience using some of all of BA core coding languages and technology stack. Deep understanding data processing, testing, and monitoring practices and frameworks. Knowledge of supporting production data systems and resolving operational issues. Experienced in CI/CD processes and agile development workflows. Sound working knowledge of information security principles and access control within platform environments. Degree or equivalent training in Computer Science, Engineering, or a related discipline is desirable What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real time betting markets. The Quantitative Analysis department harnesses data driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets to develop models that determine odds and drive in play betting decisions while leveraging state of the art machine learning techniques to analyse and interpret complex sports data. Our fast paced, delivery focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications Ability to leverage in depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. Master's degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large scale production environments. Track record of mentoring junior colleagues and successfully leading technical projects. Experience with cloud computing environments for scalable solutions. Additional Information Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate domain expertise into mathematical models. Partnering with software architects and developers to ensure alignment with technical solutions. Optimising model performance for both accuracy and computational efficiency. Researching and implementing novel approaches from academic literature and industry advancements. Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities. Identifying and defining new opportunities for data driven insights.
26/05/2026
Full time
Job Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real time betting markets. The Quantitative Analysis department harnesses data driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products. In this role, you will work with extensive datasets to develop models that determine odds and drive in play betting decisions while leveraging state of the art machine learning techniques to analyse and interpret complex sports data. Our fast paced, delivery focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications Ability to leverage in depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. Master's degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large scale production environments. Track record of mentoring junior colleagues and successfully leading technical projects. Experience with cloud computing environments for scalable solutions. Additional Information Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate domain expertise into mathematical models. Partnering with software architects and developers to ensure alignment with technical solutions. Optimising model performance for both accuracy and computational efficiency. Researching and implementing novel approaches from academic literature and industry advancements. Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities. Identifying and defining new opportunities for data driven insights.
The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists-who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team - a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems - architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers - translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. Own and deliver significant engineering work - take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance. Write high-quality production code - build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability. Contribute to engineering standards and practices - help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment. Collaborate across AISI - work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication. Support technical direction - contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs. Mentor others through technical leadership - support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of delivering substantial technical work. Strong infrastructure and platform skills - experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: Experience working in a research environment - you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. Familiarity with computational biology tools, workflows, or datasets. Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London (Whitehall) at least 3 days/week. You should be UK-based. What We Offer Impactyou couldn't have anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI researchand adjacent sciences. Ifyou'rtalented and driven,you'llown important problems early. 5 days offand annual stipends forlearning and development, andfunding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office (cafes, food court, gym),orwhere applicable,optionto work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh,Salfordor Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-widebreaksand 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option foradditionalunpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technicalexpertisein frontier AI safety,robustnessand advanced AI architectures. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
26/05/2026
Full time
The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team-made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists-who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team - a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems - architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers - translate varied research needs across general agents, science agents, chemical and biological models and other CB workstreams into well-engineered, maintainable systems. Own and deliver significant engineering work - take responsibility for substantial technical projects and shared components, driving them from design through implementation, iteration, and maintenance. Write high-quality production code - build scalable, robust, and maintainable software, primarily in Python, with strong engineering discipline around testing, documentation, and observability. Contribute to engineering standards and practices - help improve code quality, development workflows, and shared engineering approaches within a growing engineering team embedded in a research-heavy environment. Collaborate across AISI - work with our Core Technology and engineering teams to share tooling, align on infrastructure, and avoid duplication. Support technical direction - contribute to architectural decisions, identify opportunities to strengthen shared infrastructure, and help make pragmatic technical trade-offs. Mentor others through technical leadership - support other engineers through collaboration, code review, and knowledge sharing, without formal line-management responsibility. Role Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Significant experience writing production-level Python code that is scalable, robust, and easy to maintain, with a track record of delivering substantial technical work. Strong infrastructure and platform skills - experience with cloud environments (AWS), container orchestration (Kubernetes), and job scheduling (Slurm or similar). Experience owning technical projects or major systems as a senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission, urgency, and responsibility for success: Demonstrated ability to solve challenging problems, implement solutions efficiently and acquire any missing knowledge necessary to get the job done. Motivated to build software with direct policy impact. Strong communication skills, with the ability to work effectively in a dynamic, multidisciplinary team environment. Strong candidates may also have: Experience working in a research environment - you don't need to be a researcher, but you should be comfortable working alongside them and translating ambiguous research requirements into engineering plans. Familiarity with computational biology tools, workflows, or datasets. Experience building or maintaining internal developer platforms, shared libraries, or CI/CD systems for technical teams. Other core requirements You should be able to spend at least 9 days per fortnight working with us. You should be willing to work from our office in London (Whitehall) at least 3 days/week. You should be UK-based. What We Offer Impactyou couldn't have anywhere else Incredibly talented, mission-drivenand supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI researchand adjacent sciences. Ifyou'rtalented and driven,you'llown important problems early. 5 days offand annual stipends forlearning and development, andfunding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office (cafes, food court, gym),orwhere applicable,optionto work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh,Salfordor Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days' annual leave, 8 public holidays, extra team-widebreaksand 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option foradditionalunpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technicalexpertisein frontier AI safety,robustnessand advanced AI architectures. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
Job Type:PermanentBuild a brilliant future with HiscoxPrincipal Machine Learning EngineerLocation: London/YorkWhy Hiscox London MarketHiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.You'll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.Role PurposeAs a Principal Machine Learning Engineer (MLE), you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI assisted development tools as part of a broader approach to improving developer experience, system quality, and long term sustainability.Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.Key ResponsibilitiesTechnical Leadership & Ownership (Individual Contributor)Act as the technical lead for Machine Learning Engineering and MLOps across London Market.Technically lead the most complex and business critical ML systems, from architectural design through to production operation.Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.Lead deep technical decision making, balancing scalability, reliability, security, and developer experience.Contribute hands on to critical systems, frameworks, and platform components where the complexity or impact demands it.Define best practices and guardrails for the use of AI assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.Lead by example in applying AI assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.ML Platform Strategy & Build OutPartner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:Reusable and scalable deployment patternsCI/CD for machine learningFull model lifecycle managementMonitoring, observability, and alertingSecure and compliant operationShape platform standards and interfaces that enable consistent ML delivery across squads and value streams.Lead technical spikes and proof of concepts to evaluate new tools, approaches, and architectural patterns.Influence developer tooling choices so that AI assisted coding tools integrate safely with CI/CD, testing, and governance workflows.Ensure the platform enables fast, safe experimentation while supporting robust, long lived production systems.Governance, Reliability & Commercial ImpactEnsure ML systems meet architecture, security, compliance, and operational standards.Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.Champion operational excellence across ML services, including monitoring, alerting, incident management, and post incident learning.Ensure clear ownership and lifecycle management for models and ML backed services.Promote responsible use of automation and AI assisted tooling in safety critical or regulated contexts.Collaboration & InfluenceWork closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.Collaborate with software engineers, product managers, and business stakeholders to deliver end to end ML driven solutions.Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.Technical Mentorship & Capability DevelopmentProvide hands on technical mentorship to Machine Learning Engineers and Data Scientists.Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.Coach teams on the effective and critical use of AI assisted coding tools, reinforcing the importance of code review discipline, testing, and long term maintainability.Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.Help shape long term capability by identifying gaps in tooling, skills, and platform maturity.What You'll BringExperience & BackgroundBachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.Experience operating in complex, cross functional environments (insurance or financial services experience is advantageous but not essential).Technical ExpertiseExceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).Deep experience building, deploying, and operating production ML systems, including:Online and batch model servingMonitoring, alerting, and observabilityRetraining and lifecycle managementStrong understanding of core data science concepts, sufficient to:Review and challenge modelling approachesEnsure models are production ready and correctly evaluatedHands on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.Expert knowledge of MLOps and CI/CD, including:Git based workflowsInfrastructure as Code (e.g. Terraform)Automated testing and deployment pipelinesStrong operational mindset, including APIs, logging, monitoring, reliability, and incident response.Working knowledge of SQL and integration of ML services into wider data and application ecosystems.Experience using AI assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.Why Join Us?This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.Work with amazing people and be part of a unique culture
26/05/2026
Full time
Job Type:PermanentBuild a brilliant future with HiscoxPrincipal Machine Learning EngineerLocation: London/YorkWhy Hiscox London MarketHiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.You'll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.Role PurposeAs a Principal Machine Learning Engineer (MLE), you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI assisted development tools as part of a broader approach to improving developer experience, system quality, and long term sustainability.Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.Key ResponsibilitiesTechnical Leadership & Ownership (Individual Contributor)Act as the technical lead for Machine Learning Engineering and MLOps across London Market.Technically lead the most complex and business critical ML systems, from architectural design through to production operation.Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.Lead deep technical decision making, balancing scalability, reliability, security, and developer experience.Contribute hands on to critical systems, frameworks, and platform components where the complexity or impact demands it.Define best practices and guardrails for the use of AI assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.Lead by example in applying AI assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.ML Platform Strategy & Build OutPartner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:Reusable and scalable deployment patternsCI/CD for machine learningFull model lifecycle managementMonitoring, observability, and alertingSecure and compliant operationShape platform standards and interfaces that enable consistent ML delivery across squads and value streams.Lead technical spikes and proof of concepts to evaluate new tools, approaches, and architectural patterns.Influence developer tooling choices so that AI assisted coding tools integrate safely with CI/CD, testing, and governance workflows.Ensure the platform enables fast, safe experimentation while supporting robust, long lived production systems.Governance, Reliability & Commercial ImpactEnsure ML systems meet architecture, security, compliance, and operational standards.Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.Champion operational excellence across ML services, including monitoring, alerting, incident management, and post incident learning.Ensure clear ownership and lifecycle management for models and ML backed services.Promote responsible use of automation and AI assisted tooling in safety critical or regulated contexts.Collaboration & InfluenceWork closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.Collaborate with software engineers, product managers, and business stakeholders to deliver end to end ML driven solutions.Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.Technical Mentorship & Capability DevelopmentProvide hands on technical mentorship to Machine Learning Engineers and Data Scientists.Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.Coach teams on the effective and critical use of AI assisted coding tools, reinforcing the importance of code review discipline, testing, and long term maintainability.Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.Help shape long term capability by identifying gaps in tooling, skills, and platform maturity.What You'll BringExperience & BackgroundBachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.Experience operating in complex, cross functional environments (insurance or financial services experience is advantageous but not essential).Technical ExpertiseExceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).Deep experience building, deploying, and operating production ML systems, including:Online and batch model servingMonitoring, alerting, and observabilityRetraining and lifecycle managementStrong understanding of core data science concepts, sufficient to:Review and challenge modelling approachesEnsure models are production ready and correctly evaluatedHands on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.Expert knowledge of MLOps and CI/CD, including:Git based workflowsInfrastructure as Code (e.g. Terraform)Automated testing and deployment pipelinesStrong operational mindset, including APIs, logging, monitoring, reliability, and incident response.Working knowledge of SQL and integration of ML services into wider data and application ecosystems.Experience using AI assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.Why Join Us?This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.Work with amazing people and be part of a unique culture
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. 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 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.
26/05/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. 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 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.
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. 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 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.
26/05/2026
Full time
We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting edge technologies into secure, scalable, and high performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world class position. What you'll do: Architectural Leadership Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third party vendor selection and integration. Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security. Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third party commodities, for porting self serving AI in house developed solutions. Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles. Solution Design Partner with product and engineering teams to translate business requirements into scalable AI solutions. Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies. Ensure optimized integration of AI solutions with existing systems and data sources. Technical Expertise Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high level advice on opportunities and possible solutions. Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices. Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication Foster strong relationships with stakeholders, including business leaders, product managers. Collaborate with senior leadership to align AI initiatives with organizational goals. Communicate complex technical concepts to non technical stakeholders effectively. Promote a collaborative and innovative AI culture within the whole organisation. Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions. Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails. Work closely with the procurement and legal team in the negotiations with vendors. Governance and Compliance Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI. Ensure compliance with industry standards and international regulations. What you'll bring: Advanced degree in Computer Science, AI, or a related field. Contributions to open source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem solving abilities. Ability to work in a fast paced, dynamic environment. 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 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.
Job Title: Java Fullstack Developer (with Camunda)About the Job you are considering:We are looking for a highly skilled Java Fullstack Developer Developer with strong expertise in workflow orchestration and full-stack development. The ideal candidate will have extensive experience in Camunda, Java-based backend technologies, and React-based frontend development. You should be passionate about building scalable, high-quality applications using modern engineering practices like TDD and CI/CD. Experience in Agile environments and enterprise systems will be a strong advantage.Hybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Your Role:Design and develop lending origination workflows using Camunda 8 for process orchestration.Implement service-task-driven integrations using Java-based job workers.Build and integrate React-based user interfaces for handling user tasks.Develop and maintain backend services using Java and SQL-based systems.Analyze business requirements and deliver clean, scalable, and testable code.Ensure all features and user stories are delivered with 100% automated test coverage.Participate actively in SCRUM ceremonies and keep JIRA updated regularly.Provide 3rd line support for production and assist with 1st line UAT support.Ensure compliance with CIB metrics (including TADS) and maintain quality standards.Your Skills:10+ years of experience designing and implementing Camunda-based solutions, along with strong backend development skills in Java, Spring Boot, JPA, Hibernate, JUnit, Rest Assured, and Mockito.Hands-on experience with React.js, Redux, Axios, JavaScript, HTML, and CSS for building responsive user interfaces.Strong SQL knowledge (MS SQL preferred) and experience working with aPaaS platforms, particularly OpenShift V4.Familiarity with GitLab, Stash, Jenkins, Nexus, JIRA, Confluence, SonarQube, Veracode, and experience using Maven, Gradle, and NPM.Solid understanding of Test-Driven Development (TDD), CI/CD pipelines, and microservices architecture, complemented by a Computer Science degree (or equivalent knowledge of OOP and data structures), experience in Agile environments, exposure to banking/financial sector projects, and familiarity with messaging systems like Apache Kafka or IBM MQ.'We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real
25/05/2026
Full time
Job Title: Java Fullstack Developer (with Camunda)About the Job you are considering:We are looking for a highly skilled Java Fullstack Developer Developer with strong expertise in workflow orchestration and full-stack development. The ideal candidate will have extensive experience in Camunda, Java-based backend technologies, and React-based frontend development. You should be passionate about building scalable, high-quality applications using modern engineering practices like TDD and CI/CD. Experience in Agile environments and enterprise systems will be a strong advantage.Hybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Your Role:Design and develop lending origination workflows using Camunda 8 for process orchestration.Implement service-task-driven integrations using Java-based job workers.Build and integrate React-based user interfaces for handling user tasks.Develop and maintain backend services using Java and SQL-based systems.Analyze business requirements and deliver clean, scalable, and testable code.Ensure all features and user stories are delivered with 100% automated test coverage.Participate actively in SCRUM ceremonies and keep JIRA updated regularly.Provide 3rd line support for production and assist with 1st line UAT support.Ensure compliance with CIB metrics (including TADS) and maintain quality standards.Your Skills:10+ years of experience designing and implementing Camunda-based solutions, along with strong backend development skills in Java, Spring Boot, JPA, Hibernate, JUnit, Rest Assured, and Mockito.Hands-on experience with React.js, Redux, Axios, JavaScript, HTML, and CSS for building responsive user interfaces.Strong SQL knowledge (MS SQL preferred) and experience working with aPaaS platforms, particularly OpenShift V4.Familiarity with GitLab, Stash, Jenkins, Nexus, JIRA, Confluence, SonarQube, Veracode, and experience using Maven, Gradle, and NPM.Solid understanding of Test-Driven Development (TDD), CI/CD pipelines, and microservices architecture, complemented by a Computer Science degree (or equivalent knowledge of OOP and data structures), experience in Agile environments, exposure to banking/financial sector projects, and familiarity with messaging systems like Apache Kafka or IBM MQ.'We are a Disability Confident Employer:Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:Declare they have a disability, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real
Staines, United Kingdom Posted on 22/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Job Summary We are looking for an experienced Senior Full Stack Developer with expertise in enterprise web application development, WebCAF framework, and AI chatbot integration/support. The ideal candidate will be responsible for designing, developing, and maintaining scalable applications while contributing to AI-driven conversational solutions and digital transformation initiatives. The candidate should possess strong frontend and backend development skills, experience with modern architectures, and the ability to work in a fast-paced collaborative environment. Key Responsibilities Design, develop, and maintain full stack enterprise applications using modern technologies and WebCAF framework. Build scalable, secure, and high-performing backend services and APIs. Develop responsive and user-friendly frontend applications. Support and enhance AI chatbot solutions, integrations, and conversational workflows. Collaborate with business stakeholders, architects, QA, and DevOps teams to deliver end-to-end solutions. Integrate third-party systems, APIs, and AI/ML services where required. Troubleshoot application issues and provide production support. Participate in code reviews, technical discussions, and architecture decisions. Ensure adherence to coding standards, security practices, and performance optimization. Contribute to CI/CD implementation and deployment automation. Required Skills Strong experience in full stack development. Hands-on experience with WebCAF framework/platform. Experience in AI chatbot support, conversational AI, or chatbot integrations. Strong backend development experience using Java, .NET, Node.js, or Python. Experience in REST APIs, microservices, and system integrations. Knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server. Familiarity with cloud platforms such as AWS, Azure, or GCP. Experience with Docker, CI/CD pipelines, and DevOps practices. Strong debugging, problem-solving, and analytical skills. Preferred Qualifications Experience working with AI/ML-powered applications or NLP platforms. Exposure to chatbot platforms such as Dialogflow, Microsoft Bot Framework, Rasa, or similar tools. Knowledge of Agile/Scrum methodologies. Strong communication and stakeholder management skills. Education Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Why Join Us? Opportunity to work on innovative AI and enterprise digital solutions. Collaborative and technology-driven environment. Career growth opportunities with cutting-edge technologies. Competitive salary and benefits package. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from under-represented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
25/05/2026
Full time
Staines, United Kingdom Posted on 22/05/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Job Summary We are looking for an experienced Senior Full Stack Developer with expertise in enterprise web application development, WebCAF framework, and AI chatbot integration/support. The ideal candidate will be responsible for designing, developing, and maintaining scalable applications while contributing to AI-driven conversational solutions and digital transformation initiatives. The candidate should possess strong frontend and backend development skills, experience with modern architectures, and the ability to work in a fast-paced collaborative environment. Key Responsibilities Design, develop, and maintain full stack enterprise applications using modern technologies and WebCAF framework. Build scalable, secure, and high-performing backend services and APIs. Develop responsive and user-friendly frontend applications. Support and enhance AI chatbot solutions, integrations, and conversational workflows. Collaborate with business stakeholders, architects, QA, and DevOps teams to deliver end-to-end solutions. Integrate third-party systems, APIs, and AI/ML services where required. Troubleshoot application issues and provide production support. Participate in code reviews, technical discussions, and architecture decisions. Ensure adherence to coding standards, security practices, and performance optimization. Contribute to CI/CD implementation and deployment automation. Required Skills Strong experience in full stack development. Hands-on experience with WebCAF framework/platform. Experience in AI chatbot support, conversational AI, or chatbot integrations. Strong backend development experience using Java, .NET, Node.js, or Python. Experience in REST APIs, microservices, and system integrations. Knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server. Familiarity with cloud platforms such as AWS, Azure, or GCP. Experience with Docker, CI/CD pipelines, and DevOps practices. Strong debugging, problem-solving, and analytical skills. Preferred Qualifications Experience working with AI/ML-powered applications or NLP platforms. Exposure to chatbot platforms such as Dialogflow, Microsoft Bot Framework, Rasa, or similar tools. Knowledge of Agile/Scrum methodologies. Strong communication and stakeholder management skills. Education Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Why Join Us? Opportunity to work on innovative AI and enterprise digital solutions. Collaborative and technology-driven environment. Career growth opportunities with cutting-edge technologies. Competitive salary and benefits package. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from under-represented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.
Job title: Associate Integration Developer Location: Scarborough, ON Employment: Full Time Department: Global IT Reports To: Lead Integration Architect Salary: Competitive Compensation About Us We're Umbra - a leading global design company, creating original, modern, casual, and affordable designs for every room in the home. Privately owned in Canada with over 45 years of industry experience, our products are sold in over 120 countries. We are a rapidly growing entrepreneurial organization driven by innovation, speed, and teamwork. We thrive on building strong customer relationships, developing strategic partnerships, and delivering value-driven solutions. Is this you? Are you a detail oriented Associate Integration Developer who thrives in a fast-paced environment looking to work for a successful, global housewares design company? Are you diligent and effective at executing on processes and who thrives in an entrepreneurial environment? Here's what makes you successful at Umbra Entrepreneurial Spirit Can-Do Attitude Curiosity Street Smarts Team Player Mentality What you'll do to be successful in this role Ensure integration processes are accurately onboarded on time, while also assisting with the development, testing, and support of system integrations. Update, complete, and expand end-to-end onboarding documentation for new and existing integration processes. Detailed documentation, mapping, and partner testing coordination; coordination will be a key focus of the role in addition to technical analysis. Analyze partner, business, and integration requirements to ensure accurate data mapping and validation across all scenarios. Maintain an organized workflow and report weekly on the progress and estimated completion of EDI mappings and system integrations, ensuring visibility for the team. Keep functional leaders and stakeholders informed on the progress of EDI and system integration tasks, ensuring visibility and clarity. Apply required changes to proposed solutions, ensuring accurate implementation of both EDI workflows and system integrations. Logical and creative thinker, eager to contribute fresh ideas and help build clean, working integration solutions. What you'll bring Entrepreneurial: You demonstrate a "no job is too small" mentality; you like to roll up your sleeves, jump in and get it done! You are a goal oriented, high achiever. You are agile and adept at working in a multi-stakeholder environment. You appreciate the nuances of a private, non-corporate company environment. Attitude: You have a positive attitude, strong work ethic and are able to adapt to changing priorities. You have an appreciation for design. Relationship Building: You encourage collaboration and are a team player who can also work independently to deliver on goals. Communication: You are proficient at active listening. You are detail oriented and process-minded to minimize errors; comfortable presenting information and are able to respond to questions. Business Acumen & Decision Making: You take a "business first" approach, apply expertise within this context. You demonstrate assertiveness in pursuing open issues to completion. You provide input to create improved processes that increase efficiency and productivity. Organization Skills: You thrive in a fast-paced environment. You have a strong sense of urgency, are self-motivated and work effectively under pressure. You can prioritize team efforts and meet tight deadlines. Critical Thinking: You are a versatile thinker, applying common sense and objectivity to evaluate and determine a solution. You balance an analytical approach with a people-centric perspective when problem solving. Integrity & Influence: You are confident and persuasive with unquestionable integrity. You are a strong team player with demonstrated ability to influence and motivate others. Experience: 1+ years' experience with systems integration development and/or EDI. Business experience is also considered an asset. Technical Skills: Required skills: Strong communication, organization, and time management skills. Experience with SAP, EDI, Boomi, Mulesoft or Microsoft Flow and/or ETL platforms such as Alteryx or Informatica. Basic understanding of ANSI X12, EDIFact, and other EDI standards. Basic understanding of scripting (Groovy preferred), RESTful APIs, GraphQL, JSON, XML, and databases. Education: A College Diploma in IT or a University Degree in Computer Sciences would be considered an asset. What we offer A fast-paced, collaborative studio environment where designers work closely across teams and disciplines. Umbra values curiosity, efficiency, and thoughtful execution. We offer competitive compensation, incentive programs, group benefits and RRSP, continuous learning opportunities, an on site gourmet café, full gym facilities, and a design driven culture with global reach. We're Umbra A leading global design company, inspired and driven to perform We share a vision of creating original, modern, casual and affordable design for every room in the home. We are a privately owned, Canadian company with 45 years of industry experience. Led by one of our founders, our designs can be found in over 120 countries across five continents. Our global success is attributed to our entrepreneurial nature and a desire to push ourselves, and each other, beyond our limits. Hiring Process Vacancy Status: New Position Use of Al: Umbra may use artificial intelligence (Al) tools to assist in screening, assessing, or selecting candidates for this role. These tools are designed to support - but not replace - human decision-making. All hiring decisions will be reviewed by our recruitment team to ensure fairness, accuracy, and compliance with employment laws. All candidates will be notified of the hiring decision within 45 days of their final interview.
25/05/2026
Full time
Job title: Associate Integration Developer Location: Scarborough, ON Employment: Full Time Department: Global IT Reports To: Lead Integration Architect Salary: Competitive Compensation About Us We're Umbra - a leading global design company, creating original, modern, casual, and affordable designs for every room in the home. Privately owned in Canada with over 45 years of industry experience, our products are sold in over 120 countries. We are a rapidly growing entrepreneurial organization driven by innovation, speed, and teamwork. We thrive on building strong customer relationships, developing strategic partnerships, and delivering value-driven solutions. Is this you? Are you a detail oriented Associate Integration Developer who thrives in a fast-paced environment looking to work for a successful, global housewares design company? Are you diligent and effective at executing on processes and who thrives in an entrepreneurial environment? Here's what makes you successful at Umbra Entrepreneurial Spirit Can-Do Attitude Curiosity Street Smarts Team Player Mentality What you'll do to be successful in this role Ensure integration processes are accurately onboarded on time, while also assisting with the development, testing, and support of system integrations. Update, complete, and expand end-to-end onboarding documentation for new and existing integration processes. Detailed documentation, mapping, and partner testing coordination; coordination will be a key focus of the role in addition to technical analysis. Analyze partner, business, and integration requirements to ensure accurate data mapping and validation across all scenarios. Maintain an organized workflow and report weekly on the progress and estimated completion of EDI mappings and system integrations, ensuring visibility for the team. Keep functional leaders and stakeholders informed on the progress of EDI and system integration tasks, ensuring visibility and clarity. Apply required changes to proposed solutions, ensuring accurate implementation of both EDI workflows and system integrations. Logical and creative thinker, eager to contribute fresh ideas and help build clean, working integration solutions. What you'll bring Entrepreneurial: You demonstrate a "no job is too small" mentality; you like to roll up your sleeves, jump in and get it done! You are a goal oriented, high achiever. You are agile and adept at working in a multi-stakeholder environment. You appreciate the nuances of a private, non-corporate company environment. Attitude: You have a positive attitude, strong work ethic and are able to adapt to changing priorities. You have an appreciation for design. Relationship Building: You encourage collaboration and are a team player who can also work independently to deliver on goals. Communication: You are proficient at active listening. You are detail oriented and process-minded to minimize errors; comfortable presenting information and are able to respond to questions. Business Acumen & Decision Making: You take a "business first" approach, apply expertise within this context. You demonstrate assertiveness in pursuing open issues to completion. You provide input to create improved processes that increase efficiency and productivity. Organization Skills: You thrive in a fast-paced environment. You have a strong sense of urgency, are self-motivated and work effectively under pressure. You can prioritize team efforts and meet tight deadlines. Critical Thinking: You are a versatile thinker, applying common sense and objectivity to evaluate and determine a solution. You balance an analytical approach with a people-centric perspective when problem solving. Integrity & Influence: You are confident and persuasive with unquestionable integrity. You are a strong team player with demonstrated ability to influence and motivate others. Experience: 1+ years' experience with systems integration development and/or EDI. Business experience is also considered an asset. Technical Skills: Required skills: Strong communication, organization, and time management skills. Experience with SAP, EDI, Boomi, Mulesoft or Microsoft Flow and/or ETL platforms such as Alteryx or Informatica. Basic understanding of ANSI X12, EDIFact, and other EDI standards. Basic understanding of scripting (Groovy preferred), RESTful APIs, GraphQL, JSON, XML, and databases. Education: A College Diploma in IT or a University Degree in Computer Sciences would be considered an asset. What we offer A fast-paced, collaborative studio environment where designers work closely across teams and disciplines. Umbra values curiosity, efficiency, and thoughtful execution. We offer competitive compensation, incentive programs, group benefits and RRSP, continuous learning opportunities, an on site gourmet café, full gym facilities, and a design driven culture with global reach. We're Umbra A leading global design company, inspired and driven to perform We share a vision of creating original, modern, casual and affordable design for every room in the home. We are a privately owned, Canadian company with 45 years of industry experience. Led by one of our founders, our designs can be found in over 120 countries across five continents. Our global success is attributed to our entrepreneurial nature and a desire to push ourselves, and each other, beyond our limits. Hiring Process Vacancy Status: New Position Use of Al: Umbra may use artificial intelligence (Al) tools to assist in screening, assessing, or selecting candidates for this role. These tools are designed to support - but not replace - human decision-making. All hiring decisions will be reviewed by our recruitment team to ensure fairness, accuracy, and compliance with employment laws. All candidates will be notified of the hiring decision within 45 days of their final interview.
