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aws platform engineer
Expert Backend Engineer Engineering / Engineering London, UK
Wiz
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 03, 2026
Full time
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Platform Engineer: Cloud Infra, Kubernetes & Go
Monzo
A leading UK fintech seeks a Platform Engineer to enhance and maintain their core infrastructure. The role involves working with Kubernetes, AWS, and Terraform, ensuring reliability and performance for software engineers. This position offers flexible working arrangements and a £1,000 learning budget annually. Join a passionate team focused on transforming how people manage their finances with innovative solutions.
Apr 03, 2026
Full time
A leading UK fintech seeks a Platform Engineer to enhance and maintain their core infrastructure. The role involves working with Kubernetes, AWS, and Terraform, ensuring reliability and performance for software engineers. This position offers flexible working arrangements and a £1,000 learning budget annually. Join a passionate team focused on transforming how people manage their finances with innovative solutions.
LexisNexis Risk Solutions
Software Engineering Lead
LexisNexis Risk Solutions
. Software Engineering Lead - People Management About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, . About the Role: As a Software Engineering Lead, you will be leading and liaising with dynamic, passionate cross functional teams, where collaboration as a team is key.You will be responsible for overseeing and guiding a team of Software Engineers who deliver value through web applications serving our customers various risk assessment needs. In this role, success means enabling your team to deliver high quality software while creating an environment where engineers can grow and do their best work. What you will gain in this role Opportunities to develop leadership skills. Exposure to cross-functional decision-making. Opportunity to join work facilitated community, social, and cultural events. Local support from manager and peers. Global support from extensive Technology team. Responsibilities: Delivery & Collaboration + Leading a development team as they efficiently deliver features and capabilities. + Working closely with other development team members to understand complex product requirements and translate them into software designs. + Promoting collaboration between teams, sharing best practice and helping clear potential blockers. + Working closely with the Product Manager to ensure the team have the right direction and is well aligned with other teams. + Raise security maturity across applications and delivery processes, ensuring security and privacy are built into day-to-day engineering practice. People Leadership + Coach and develop your team members, through aligned objectives and goals. Technical Leadership + Provide technical guidance and support, drawing on your experience to help teams make good decisions. + Act as a first point of support for resolving development issues, involving others where appropriate. + Champion responsible AI adoption within the team, helping engineers effectively use approved AI tools. Requirements: Experience building production software in at least one modern programming language, for example, PHP, Java, Python, .NET, JavaScript. Be able to partner and lead internal and external technology resources in solving complex business needs. Be able to collaborate, support and drive team members to deliver on results, providing technical and professional guidance. Be able to design and work with complex data models. Principal Software Engineer About Cirium: Cirium is transforming the way the world understands aviation data. We connect the industry through innovative analytics, helping airlines, airports, travel companies, tech giants, manufacturers, and financial institutions accelerate their digital transformation. Join us to shape the future of aviation. About the Team: You'll join a collaborative, curious team of professionals at all levels. We value diverse perspectives and encourage ownership in solving challenges end-to-end. About the role: As a member of our Team, you'll contribute to building, maintaining, and supporting our infrastructure and applications. You'll work with talented colleagues, communicate effectively, and champion engineering excellence. Responsibilities: Deliver resilient solutions using DevOps practices and "Infrastructure as Code" Diagnose and resolve complex technical issues Lead and influence the design and delivery of scalable, resilient data platform services. Collaborate across teams to drive innovation and continuous improvement Uphold our commitment to accessibility, inclusion, and data-driven decision-making Requirements: Experience of Cloud Platforms (AWS), Infrastructure as code, MLOps, and Python (or similar technologies), along with monitoring and observability. Ability to communicate clearly and respectfully with diverse audiences Commitment to learning and adapting in a dynamic environment Experience mentoring and developing engineering talent. Passion for building inclusive, high-performing teams. Willingness to attend our Southampton office 2 days per week (reasonable accommodations available) Experience with data platforms, distributed systems, and data pipelines in cloud-native environments. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .
Apr 03, 2026
Full time
. Software Engineering Lead - People Management About the Business LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk solutions at the link below, . About the Role: As a Software Engineering Lead, you will be leading and liaising with dynamic, passionate cross functional teams, where collaboration as a team is key.You will be responsible for overseeing and guiding a team of Software Engineers who deliver value through web applications serving our customers various risk assessment needs. In this role, success means enabling your team to deliver high quality software while creating an environment where engineers can grow and do their best work. What you will gain in this role Opportunities to develop leadership skills. Exposure to cross-functional decision-making. Opportunity to join work facilitated community, social, and cultural events. Local support from manager and peers. Global support from extensive Technology team. Responsibilities: Delivery & Collaboration + Leading a development team as they efficiently deliver features and capabilities. + Working closely with other development team members to understand complex product requirements and translate them into software designs. + Promoting collaboration between teams, sharing best practice and helping clear potential blockers. + Working closely with the Product Manager to ensure the team have the right direction and is well aligned with other teams. + Raise security maturity across applications and delivery processes, ensuring security and privacy are built into day-to-day engineering practice. People Leadership + Coach and develop your team members, through aligned objectives and goals. Technical Leadership + Provide technical guidance and support, drawing on your experience to help teams make good decisions. + Act as a first point of support for resolving development issues, involving others where appropriate. + Champion responsible AI adoption within the team, helping engineers effectively use approved AI tools. Requirements: Experience building production software in at least one modern programming language, for example, PHP, Java, Python, .NET, JavaScript. Be able to partner and lead internal and external technology resources in solving complex business needs. Be able to collaborate, support and drive team members to deliver on results, providing technical and professional guidance. Be able to design and work with complex data models. Principal Software Engineer About Cirium: Cirium is transforming the way the world understands aviation data. We connect the industry through innovative analytics, helping airlines, airports, travel companies, tech giants, manufacturers, and financial institutions accelerate their digital transformation. Join us to shape the future of aviation. About the Team: You'll join a collaborative, curious team of professionals at all levels. We value diverse perspectives and encourage ownership in solving challenges end-to-end. About the role: As a member of our Team, you'll contribute to building, maintaining, and supporting our infrastructure and applications. You'll work with talented colleagues, communicate effectively, and champion engineering excellence. Responsibilities: Deliver resilient solutions using DevOps practices and "Infrastructure as Code" Diagnose and resolve complex technical issues Lead and influence the design and delivery of scalable, resilient data platform services. Collaborate across teams to drive innovation and continuous improvement Uphold our commitment to accessibility, inclusion, and data-driven decision-making Requirements: Experience of Cloud Platforms (AWS), Infrastructure as code, MLOps, and Python (or similar technologies), along with monitoring and observability. Ability to communicate clearly and respectfully with diverse audiences Commitment to learning and adapting in a dynamic environment Experience mentoring and developing engineering talent. Passion for building inclusive, high-performing teams. Willingness to attend our Southampton office 2 days per week (reasonable accommodations available) Experience with data platforms, distributed systems, and data pipelines in cloud-native environments. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .
Platform Engineer
Monzo Cardiff, South Glamorgan
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ The Platform Collective builds and maintains the infrastructure, tools and processes that set the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineering tooling. The Infrastructure Platform team sits within the Platform Collective and is responsible for running the Kubernetes clusters, service mesh and networking that all of Monzo's microservices run on. Our team is made up of backend engineers and cloud infrastructure experts, using our experience and software engineering skills to solve problems and manage our cloud infrastructure. Our Infrastructure Platform team has two focus areas We build and centrally manage the cloud infrastructure that underpins technology at Monzo, running components like Kubernetes and Envoy across AWS and GCP. We help other platform teams to succeed at using cloud infrastructure by abstracting away the complexity and enabling them to solve real customer problems. We're investing heavily in this team to support Monzo's ambitions to grow from 10 to 20 million customers, expand the range of products to improve our customers' financial lives and set up the foundations for scaling Monzo across the globe. How we work Locations & Flexible Working: Our main tech hub is in London, but our engineers live everywhere in the UK-from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which line up with our twice-weekly Monzo lunches & treat Thursdays ️. Teams also schedule time together often for work and play - in or around the office, or online. What you'll be working with: As a Platform Engineer at Monzo, you will work across the full breadth of our core infrastructure and application platform. This role involves a balanced split of responsibilities between two critical areas: Platform & Infrastructure Engineering: Enhancing and maintaining our foundational tools and systems. Working hands on with our Kubernetes clusters, AWS infrastructure, and configuration management using Terraform. Integrating and managing various open source components to provide robust, scalable primitives for our engineering teams. Software & Backend Engineering: Building and maintaining the services that abstract and orchestrate our infrastructure. Designing and implementing backend services (APIs, controllers, etc.) that provide a simplified, self service experience for other engineers. Developing software for complex projects like infrastructure migrations, high scale traffic management, or security tooling. We rely heavily on the following tools and technologies; direct experience is not required and our interview process can be completed in any language. Go - we write our application code in Go. Kubernetes - most workloads we run are on Kubernetes and this team is responsible for the underlying cluster's management. AWS and GCP - our primary platform is in AWS but we are growing our footprint in GCP and increasing our maturity on both. Terraform - is how we manage resources deployed into the cloud. To succeed in this role, you will need a strong background in both modern platform tooling and practical software development. Software Engineering Foundation: You have significant professional experience in software engineering, demonstrated by writing, testing, and deploying robust backend services using strongly typed languages. Cloud & Container Experience: You have hands on experience working with AWS and/or GCP, and you are proficient with Kubernetes. Automation & Infrastructure as Code: You are naturally inclined to solve problems through automation and have experience with Infrastructure as Code (e.g., Terraform). System Curiosity: You are deeply curious about systems, enjoy diving deep to investigate complex issues, and understand how modern distributed applications fail and scale. Platform Mindset: You'd be excited to build a platform that enables success for everyone at Monzo, focusing on reliability, performance, and developer experience. Comfort with Ambiguity: You're comfortable working in a fast paced team that deals with ambiguity and evolving requirements. Interview Process Initial Call Take home task or pair coding exercise Final interview: system design and behavioural interview Our average process takes around 4 weeks but we will always work around your availability. Our interview process includes detailed insights and tips on our blog. What's in it for you: ️ We can help you relocate to the UK We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more - see our full list of benefits. Equal Opportunities We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. Diversity and inclusion are a priority for us. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. Read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We are an equal opportunity employer and provide equal opportunities for all.
Apr 03, 2026
Full time
We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ The Platform Collective builds and maintains the infrastructure, tools and processes that set the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineering tooling. The Infrastructure Platform team sits within the Platform Collective and is responsible for running the Kubernetes clusters, service mesh and networking that all of Monzo's microservices run on. Our team is made up of backend engineers and cloud infrastructure experts, using our experience and software engineering skills to solve problems and manage our cloud infrastructure. Our Infrastructure Platform team has two focus areas We build and centrally manage the cloud infrastructure that underpins technology at Monzo, running components like Kubernetes and Envoy across AWS and GCP. We help other platform teams to succeed at using cloud infrastructure by abstracting away the complexity and enabling them to solve real customer problems. We're investing heavily in this team to support Monzo's ambitions to grow from 10 to 20 million customers, expand the range of products to improve our customers' financial lives and set up the foundations for scaling Monzo across the globe. How we work Locations & Flexible Working: Our main tech hub is in London, but our engineers live everywhere in the UK-from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which line up with our twice-weekly Monzo lunches & treat Thursdays ️. Teams also schedule time together often for work and play - in or around the office, or online. What you'll be working with: As a Platform Engineer at Monzo, you will work across the full breadth of our core infrastructure and application platform. This role involves a balanced split of responsibilities between two critical areas: Platform & Infrastructure Engineering: Enhancing and maintaining our foundational tools and systems. Working hands on with our Kubernetes clusters, AWS infrastructure, and configuration management using Terraform. Integrating and managing various open source components to provide robust, scalable primitives for our engineering teams. Software & Backend Engineering: Building and maintaining the services that abstract and orchestrate our infrastructure. Designing and implementing backend services (APIs, controllers, etc.) that provide a simplified, self service experience for other engineers. Developing software for complex projects like infrastructure migrations, high scale traffic management, or security tooling. We rely heavily on the following tools and technologies; direct experience is not required and our interview process can be completed in any language. Go - we write our application code in Go. Kubernetes - most workloads we run are on Kubernetes and this team is responsible for the underlying cluster's management. AWS and GCP - our primary platform is in AWS but we are growing our footprint in GCP and increasing our maturity on both. Terraform - is how we manage resources deployed into the cloud. To succeed in this role, you will need a strong background in both modern platform tooling and practical software development. Software Engineering Foundation: You have significant professional experience in software engineering, demonstrated by writing, testing, and deploying robust backend services using strongly typed languages. Cloud & Container Experience: You have hands on experience working with AWS and/or GCP, and you are proficient with Kubernetes. Automation & Infrastructure as Code: You are naturally inclined to solve problems through automation and have experience with Infrastructure as Code (e.g., Terraform). System Curiosity: You are deeply curious about systems, enjoy diving deep to investigate complex issues, and understand how modern distributed applications fail and scale. Platform Mindset: You'd be excited to build a platform that enables success for everyone at Monzo, focusing on reliability, performance, and developer experience. Comfort with Ambiguity: You're comfortable working in a fast paced team that deals with ambiguity and evolving requirements. Interview Process Initial Call Take home task or pair coding exercise Final interview: system design and behavioural interview Our average process takes around 4 weeks but we will always work around your availability. Our interview process includes detailed insights and tips on our blog. What's in it for you: ️ We can help you relocate to the UK We can sponsor visas. This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more - see our full list of benefits. Equal Opportunities We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. Diversity and inclusion are a priority for us. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. Read more in our blog, 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We are an equal opportunity employer and provide equal opportunities for all.
Head of Automation Engineering
Huzzle
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Apr 03, 2026
Full time
About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they're hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Head of Automation Engineering to serve as the most senior technical leader within the company. This role is ideal for a hands-on engineering leader who thrives in early-stage environments and enjoys building systems, teams, and products from scratch. Key Responsibilities Automation Architecture & Infrastructure Own and scale the company's n8n automation ecosystem, including workflow architecture, orchestration, monitoring, and performance optimization. Design automation infrastructure capable of handling multi-client operational complexity across different ICPs, channels, and campaign structures. Architect the integration layer connecting core operational tools such as Clay, Airtable, HubSpot, Slack, and outbound infrastructure platforms. Build robust error handling, monitoring, alerting, and self-healing mechanisms within automation pipelines. Ensure automation systems remain maintainable, scalable, and resilient as operational volume increases. Product Development & Engineering Build internal platforms and tools that convert operational processes into scalable software products. Develop client-facing automation tools and reporting systems that extend the company's productized service offerings. Own the full-stack development lifecycle from architecture and development to deployment and iteration. Establish engineering standards including code reviews, CI/CD pipelines, testing frameworks, and documentation. AI Systems & Intelligence Layer Design and implement production-grade AI pipelines leveraging models such as Claude and GPT. Build systems that combine AI decision-making with deterministic automation logic. Develop infrastructure for prompt engineering, model evaluation, and system performance monitoring. Optimize AI usage for cost efficiency, reliability, and scalability. Team Leadership & Technical Strategy Build and manage an automation engineering team, including hiring, mentoring, and performance management. Partner directly with the CEO/Founder to translate business strategy into technical execution. Lead sprint planning, backlog prioritization, and technical retrospectives. Make strategic build vs. buy decisions to maintain engineering velocity and competitive advantage. Non-Negotiable Deep production-level experience with n8n automation architecture and workflow design. Strong full-stack development experience with JavaScript / TypeScript, including Node.js backend systems and modern frontend frameworks (React or similar). Proven ability to lead engineering teams while remaining highly hands-on in production code. Experience building AI-powered systems using LLM APIs (Claude, OpenAI, or similar) in real-world production environments. Strong systems architecture skills, including designing scalable, fault-tolerant systems. Experience translating business problems into technical solutions in fast-moving environments. Strongly Preferred Experience building automation systems within agencies, SaaS platforms, or services businesses handling multi-client infrastructure. Experience launching products used by real customers, not just internal tools. Familiarity with modern outbound and automation tools such as Clay, Airtable, HubSpot, Slack APIs, and email infrastructure systems. Experience deploying and managing infrastructure on AWS, GCP, or similar cloud platforms. Experience using AI tools (e.g., Claude or similar) as daily development accelerators. Fully Remote: Work from anywhere with international teams Career Growth: Join companies in SaaS, MarTech, and B2B services Peer Community: Connect with high-performing sales professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference - we'll match you with options that fit your goals
Software Engineer II - Blockchain/ Digital Assets
JPMorgan Chase & Co.
As a Software Engineer II, you will join our London-based engineering team, contributing to the design, development, and delivery of Java, Python and TypeScript-based blockchain applications. Working alongside experienced engineers with decades of Markets expertise, you'll build production-grade blockchain services, learn cutting-edge DLT technologies, and help transform the financial ecosystem from the inside. This role offers the opportunity to grow your skills in blockchain and distributed systems while working on high-impact projects with direct visibility to business leaders across the industry's leading markets business. Markets Digital Assets focuses on designing and building production-grade solutions leveraging Blockchain and Distributed Ledger Technologies (DLT) to transform JPMorgan's CIB Markets business. We partner closely with Front Office, Product, Operations, and core platform teams to deliver secure, scalable, and compliant digital asset capabilities across our private blockchain network, Kinexys Digital Assets, and public blockchains. Job Responsibilities Develop scalable, secure services using Java Spring Boot, TypeScript/NestJS, ReactJS, and Python Contribute to end-to-end delivery: implementation, testing, CI/CD, deployment, and production support Write clean, maintainable code and participate in code reviews to uphold engineering standards for quality, observability, and performance Collaborate with Front Office, Product, Operations, and platform teams to build and deliver transformative DLT use cases Learn and apply blockchain technologies in a full-stack DApps build environment across private and public blockchains Work with enterprise development toolchains including Git, Jenkins, and CI/CD pipelines Engage with senior engineers and architects to understand distributed systems design and best practices Participate in team knowledge-sharing, hackathons, and experimentation with emerging technologies Contribute to the team's technical output and help advocate for DLT within the firm Required qualifications, capabilities and skills Hands on software engineering experience with Java Spring Boot/Python or similar modern backend frameworks Understanding of software development fundamentals: data structures, algorithms, object oriented design Experience with version control (Git) and working in collaborative development environments Eagerness to learn distributed systems, blockchain technologies, and cloud native architectures Strong problem solving skills and ability to work effectively in a team Excellent communication and collaboration skills; comfort working with diverse stakeholder groups Familiarity with CI/CD pipelines, automated testing, and DevOps practices Interest in or exposure to blockchain and Distributed Ledger Technologies (DLT) Preferred qualifications, capabilities and skills Familiarity with TypeScript, JavaScript, or front end development (ReactJS or similar frameworks) Experience building on public or permissioned blockchain platforms (e.g., Solana, Ethereum/EVM, Hyperledger, Polkadot, Cosmos, Avalanche, Canton) Understanding of cryptographic protocols, smart contracts, or key management Experience with AWS services and cloud native architectures Interest in front office or trade processing environments within financial services
Apr 03, 2026
Full time
As a Software Engineer II, you will join our London-based engineering team, contributing to the design, development, and delivery of Java, Python and TypeScript-based blockchain applications. Working alongside experienced engineers with decades of Markets expertise, you'll build production-grade blockchain services, learn cutting-edge DLT technologies, and help transform the financial ecosystem from the inside. This role offers the opportunity to grow your skills in blockchain and distributed systems while working on high-impact projects with direct visibility to business leaders across the industry's leading markets business. Markets Digital Assets focuses on designing and building production-grade solutions leveraging Blockchain and Distributed Ledger Technologies (DLT) to transform JPMorgan's CIB Markets business. We partner closely with Front Office, Product, Operations, and core platform teams to deliver secure, scalable, and compliant digital asset capabilities across our private blockchain network, Kinexys Digital Assets, and public blockchains. Job Responsibilities Develop scalable, secure services using Java Spring Boot, TypeScript/NestJS, ReactJS, and Python Contribute to end-to-end delivery: implementation, testing, CI/CD, deployment, and production support Write clean, maintainable code and participate in code reviews to uphold engineering standards for quality, observability, and performance Collaborate with Front Office, Product, Operations, and platform teams to build and deliver transformative DLT use cases Learn and apply blockchain technologies in a full-stack DApps build environment across private and public blockchains Work with enterprise development toolchains including Git, Jenkins, and CI/CD pipelines Engage with senior engineers and architects to understand distributed systems design and best practices Participate in team knowledge-sharing, hackathons, and experimentation with emerging technologies Contribute to the team's technical output and help advocate for DLT within the firm Required qualifications, capabilities and skills Hands on software engineering experience with Java Spring Boot/Python or similar modern backend frameworks Understanding of software development fundamentals: data structures, algorithms, object oriented design Experience with version control (Git) and working in collaborative development environments Eagerness to learn distributed systems, blockchain technologies, and cloud native architectures Strong problem solving skills and ability to work effectively in a team Excellent communication and collaboration skills; comfort working with diverse stakeholder groups Familiarity with CI/CD pipelines, automated testing, and DevOps practices Interest in or exposure to blockchain and Distributed Ledger Technologies (DLT) Preferred qualifications, capabilities and skills Familiarity with TypeScript, JavaScript, or front end development (ReactJS or similar frameworks) Experience building on public or permissioned blockchain platforms (e.g., Solana, Ethereum/EVM, Hyperledger, Polkadot, Cosmos, Avalanche, Canton) Understanding of cryptographic protocols, smart contracts, or key management Experience with AWS services and cloud native architectures Interest in front office or trade processing environments within financial services
EngineeringUK
Senior Applied AI Engineer
EngineeringUK
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Just Eat Takeaway.com
Senior Python Engineer
Just Eat Takeaway.com Fleet, Hampshire
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Apr 03, 2026
Full time
Hungry for a challenge? That's good, because at Just Eat (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe. Our mission? To empower every food moment around the world, whether it's through customer service, coding or couriers. The opportunity Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting edge AI powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production grade deployments. Key ingredients Design, develop, and deploy high quality, scalable software solutions, focusing on AI enabled applications and infrastructure. Lead and participate in technical projects and deployments of AI systems. Provide guidance and mentoring to other team members on best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects or work streams focused on AI infrastructure and tooling. What you'll bring Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework). Enjoy automating processes. Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE). A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role. Proven track record of delivering high quality work and driving forward best practices in software engineering. Stays up to date with new technology in the AI space. Nice to have Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi step generative AI applications, like LangGraph. Experience with Agent to Agent (A2A) communication or coordination patterns in AI systems. Hands on experience leveraging AI powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu Our teams forge connections internally and work with some of the best known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Integration Engineer (EMEA)
k-ID
JD: Integration Engineer (EMEA) About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME's Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company's Next Big Things in Tech, we are building the Age Layer for the internet-the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world's largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About The Role As an Integration Engineer, you'll be a core technical expert responsible for designing, developing, and maintaining integrations between k-ID's services and client systems. You'll leverage expertise in full-stack web development and game engines to ensure our Global Compliance Engine, AgeKit+ and AgeKeys are implemented seamlessly. This role focuses on supporting EMEA customers and providing regional time zone coverage. Location & Language Location: London, UK Languages: Proficiency in English and one more European language is a plus Key Responsibilities Serve as primary technical contact for European customers during local business hours Design, develop, and deploy integration solutions connecting k-ID services with client systems Build and troubleshoot integrations across a variety of platforms including game engines, mobile apps, and web Create and maintain technical documentation, integration guides, and code samples Collaborate with engineering, product, and go-to-market teams Troubleshoot complex technical issues and ensure high availability Minimum Qualifications Bachelor's in CS, Engineering, or related field 5+ years in software development with focus on systems integration and API development Fluency in English Proficiency in multiple languages (JavaScript/TypeScript, Python, C#, C++, Java) Experience with RESTful APIs and webhook integrations Strong understanding of web technologies and modern frameworks such as NextJS and React Experience with cloud platforms (AWS, Azure, GCP) Preferred Qualifications 8+ years of relevant experience Familiarity with Python as well as OOP languages such as C# or Java a plus Deep knowledge of digital identity, computer security, cryptography, and user data privacy practices Experience with various methods of age verification such as facial age estimation, ID verification, mobile driver's license, etc. Experience with WebView implementations and cross-platform development Hands-on experience with native mobile app development History of leading complex integration projects Experience with customers across multiple European markets Familiarity with global youth privacy frameworks such as COPPA and GDPR-K preferred. Proficiency in more than two European languages Benefits Competitive Salary A competitive startup salary aligned with experience and market benchmarks. Employee Stock Ownership Plan so you participate directly in the long term upside of the company. Health and Wellbeing Comprehensive family health coverage, including medical, dental, and vision benefits Provided Mental Health and Wellness support benefit Professional Development Hands on exposure with key clients in a scaling global tech company Opportunities for continuous learning through real ownership rather than formal training alone. Direct collaboration with the Founders and the tech leadership team Culture and Ways of Working A collaborative, inclusive and low politics work environment. Flexible, trust based working culture shaped by a US startup operating model. A mission driven company focused on improving online experiences for kids and teens globally. Applicants Privacy Policy
Apr 03, 2026
Full time
JD: Integration Engineer (EMEA) About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME's Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company's Next Big Things in Tech, we are building the Age Layer for the internet-the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world's largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About The Role As an Integration Engineer, you'll be a core technical expert responsible for designing, developing, and maintaining integrations between k-ID's services and client systems. You'll leverage expertise in full-stack web development and game engines to ensure our Global Compliance Engine, AgeKit+ and AgeKeys are implemented seamlessly. This role focuses on supporting EMEA customers and providing regional time zone coverage. Location & Language Location: London, UK Languages: Proficiency in English and one more European language is a plus Key Responsibilities Serve as primary technical contact for European customers during local business hours Design, develop, and deploy integration solutions connecting k-ID services with client systems Build and troubleshoot integrations across a variety of platforms including game engines, mobile apps, and web Create and maintain technical documentation, integration guides, and code samples Collaborate with engineering, product, and go-to-market teams Troubleshoot complex technical issues and ensure high availability Minimum Qualifications Bachelor's in CS, Engineering, or related field 5+ years in software development with focus on systems integration and API development Fluency in English Proficiency in multiple languages (JavaScript/TypeScript, Python, C#, C++, Java) Experience with RESTful APIs and webhook integrations Strong understanding of web technologies and modern frameworks such as NextJS and React Experience with cloud platforms (AWS, Azure, GCP) Preferred Qualifications 8+ years of relevant experience Familiarity with Python as well as OOP languages such as C# or Java a plus Deep knowledge of digital identity, computer security, cryptography, and user data privacy practices Experience with various methods of age verification such as facial age estimation, ID verification, mobile driver's license, etc. Experience with WebView implementations and cross-platform development Hands-on experience with native mobile app development History of leading complex integration projects Experience with customers across multiple European markets Familiarity with global youth privacy frameworks such as COPPA and GDPR-K preferred. Proficiency in more than two European languages Benefits Competitive Salary A competitive startup salary aligned with experience and market benchmarks. Employee Stock Ownership Plan so you participate directly in the long term upside of the company. Health and Wellbeing Comprehensive family health coverage, including medical, dental, and vision benefits Provided Mental Health and Wellness support benefit Professional Development Hands on exposure with key clients in a scaling global tech company Opportunities for continuous learning through real ownership rather than formal training alone. Direct collaboration with the Founders and the tech leadership team Culture and Ways of Working A collaborative, inclusive and low politics work environment. Flexible, trust based working culture shaped by a US startup operating model. A mission driven company focused on improving online experiences for kids and teens globally. Applicants Privacy Policy
Just Eat Takeaway.com
Senior Python AI Engineer - ML/AI Infrastructure Lead
Just Eat Takeaway.com Fleet, Hampshire
A leading online food delivery company in the UK is hiring a Senior Engineer to join their Enterprise AI team. You will design, develop, and deploy scalable AI applications, guide projects, and mentor team members. Ideal candidates should have strong experience in Python, cloud platforms like AWS, and an interest in AI/ML. The role offers dynamic responsibilities within a supportive and inclusive culture, focusing on innovation and growth.
Apr 03, 2026
Full time
A leading online food delivery company in the UK is hiring a Senior Engineer to join their Enterprise AI team. You will design, develop, and deploy scalable AI applications, guide projects, and mentor team members. Ideal candidates should have strong experience in Python, cloud platforms like AWS, and an interest in AI/ML. The role offers dynamic responsibilities within a supportive and inclusive culture, focusing on innovation and growth.
Lead DevOps Engineer
Northrop Grumman Corp. (AU) Manchester, Lancashire
Define Possible at Northrop Grumman UK UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Highest Level of Government Clearance TRAVEL: Yes, 10% of the Time What's your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most - solving tomorrow's challenges and shaping the technology and solutions of the future. It's what we call Defining Possible . This mind set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. The Opportunity This is more than just a job; it's a mission. As a Lead DevOps Engineer , you will play a pivotal role in designing, developing and maintaining the critical CI/CD infrastructure that powers our services. You'll be self driven, organised and passionate about building elegant, stable and scalable solutions. You'll work across a wide variety of exciting projects with complex challenges, contributing to core solutions that have meaningful, real world impact. You'll also bring strong leadership, guiding your team through both technical and delivery challenges to ensure customer needs are met. "My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together." - Matthew Bullock, Software Manager, Northrop Grumman UK What You'll Do Own the team's deliverables , working with the Scrum Master to define a clear delivery path aligned to customer requirements. Lead and contribute across the entire CI/CD lifecycle , including requirements gathering, design, implementation, testing and deployment. Collaborate with cross functional teams, including product, front end development and QA, to ensure integrated delivery. Mentor and guide junior developers , helping to grow capability and support career development across the team. What We're Looking For Experience as a DevOps Engineer with strong expertise in CI/CD, containerisation, deployment technologies, and cloud platforms (Jenkins, Kubernetes, IaC, Docker, AWS). Proven experience in designing, developing and deploying CI/CD solutions . Experience in Linux system administration or similar operating systems. Ability to troubleshoot issues across live production environments , including high level networking, server and application issues. Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Excellent communication, collaboration and problem solving skills, ideally with experience working in an agile environment. If you don't meet every requirement, we still encourage you to apply. We value potential, curiosity and a willingness to learn. Security Clearance Due to the nature of our work, you must be British National for this clearance type. You must currently hold the Highest Level of UK Government security clearance . Our recruitment team is available to support you through the process: Benefits Flexible working options , including hybrid working and an optional compressed fortnight Private healthcare Cash health plan Holiday buy/sell scheme Career development programmes and specialist training opportunities Performance based bonuses Why Join Us? A Mission to Believe In Every day, we help build a more secure and connected world across land, sea, air, space and cyberspace. From engineering data and intelligence solutions to advancing mission systems for the UK and NATO - what we do together matters. A Place to Belong and Thrive Every voice matters. You'll join an inclusive community where you can bring your authentic self to work. We are proud supporters of Employee Resource Groups and partnerships that champion diversity, wellbeing and inclusion. Your Career, Your Way Shape your journey with diverse roles, mentorship and development opportunities. Enjoy flexibility that supports your wellbeing, alongside benefits that help you grow personally and professionally. Ready to Apply? Yes - Submit your application online. Possibly - Contact our team for more information: No - Explore other opportunities with us. We're growing across the UK. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Apr 03, 2026
Full time
Define Possible at Northrop Grumman UK UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Highest Level of Government Clearance TRAVEL: Yes, 10% of the Time What's your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most - solving tomorrow's challenges and shaping the technology and solutions of the future. It's what we call Defining Possible . This mind set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. The Opportunity This is more than just a job; it's a mission. As a Lead DevOps Engineer , you will play a pivotal role in designing, developing and maintaining the critical CI/CD infrastructure that powers our services. You'll be self driven, organised and passionate about building elegant, stable and scalable solutions. You'll work across a wide variety of exciting projects with complex challenges, contributing to core solutions that have meaningful, real world impact. You'll also bring strong leadership, guiding your team through both technical and delivery challenges to ensure customer needs are met. "My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together." - Matthew Bullock, Software Manager, Northrop Grumman UK What You'll Do Own the team's deliverables , working with the Scrum Master to define a clear delivery path aligned to customer requirements. Lead and contribute across the entire CI/CD lifecycle , including requirements gathering, design, implementation, testing and deployment. Collaborate with cross functional teams, including product, front end development and QA, to ensure integrated delivery. Mentor and guide junior developers , helping to grow capability and support career development across the team. What We're Looking For Experience as a DevOps Engineer with strong expertise in CI/CD, containerisation, deployment technologies, and cloud platforms (Jenkins, Kubernetes, IaC, Docker, AWS). Proven experience in designing, developing and deploying CI/CD solutions . Experience in Linux system administration or similar operating systems. Ability to troubleshoot issues across live production environments , including high level networking, server and application issues. Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Excellent communication, collaboration and problem solving skills, ideally with experience working in an agile environment. If you don't meet every requirement, we still encourage you to apply. We value potential, curiosity and a willingness to learn. Security Clearance Due to the nature of our work, you must be British National for this clearance type. You must currently hold the Highest Level of UK Government security clearance . Our recruitment team is available to support you through the process: Benefits Flexible working options , including hybrid working and an optional compressed fortnight Private healthcare Cash health plan Holiday buy/sell scheme Career development programmes and specialist training opportunities Performance based bonuses Why Join Us? A Mission to Believe In Every day, we help build a more secure and connected world across land, sea, air, space and cyberspace. From engineering data and intelligence solutions to advancing mission systems for the UK and NATO - what we do together matters. A Place to Belong and Thrive Every voice matters. You'll join an inclusive community where you can bring your authentic self to work. We are proud supporters of Employee Resource Groups and partnerships that champion diversity, wellbeing and inclusion. Your Career, Your Way Shape your journey with diverse roles, mentorship and development opportunities. Enjoy flexibility that supports your wellbeing, alongside benefits that help you grow personally and professionally. Ready to Apply? Yes - Submit your application online. Possibly - Contact our team for more information: No - Explore other opportunities with us. We're growing across the UK. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Senior Java Full Stack Engineer
Svitla Systems, Inc.
SvitlaSystems Inc. is looking for aSenior Java Full Stack Engineerfor a full-time position (40 hoursper week) inEurope.Our client is a prominent multinational universal bank with a history spanning over 325 years andoperatesin more than 40 countries. You willbe responsible forsupporting the successful delivery of location strategy projects in line with plan, budget, agreed quality, and governance standards.You'llspearhead the evolution of the digital landscape, drivinginnovation,and excellence. You will harnesscutting-edgetechnology torevolutionizedigitalofferings, ensuring unparalleled customer experiences. Office attendance:2-3 days per week in Glasgow. Overlap: 12-1 PM EST. Requirements: 6+ years of strong hands-on experience with Java 17/21. Solid experience with Spring MVC, Spring Boot, and Spring Security. In-depth understanding of the design and implementation of RESTful services. Knowledge of build tools such as Maven or Gradle. Strong experience in testing, including: Unit testing with JUnit / Mockito; Mutation testing with PIT/Stryker; Component testing with Karate, WireMock, or React Testing Library. Advanced experience in back-end development using Java/Spring Boot. Understanding of relational databases such as SQL Server and Oracle. Understanding of observability and monitoring tools, including logging and metrics for troubleshooting and debugging (e.g., Elastic/Kibana). Key critical skills relevant to success in the role include risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and work-specific technical skills. Nice to have: Familiarity with GitLab/Bitbucket. Understanding of cloud, working with DevOps (AWS), and Jenkins pipeline. Experience in working with Agile/Scrum methodology. Familiarity with Continuous Integration and DevOps using GitLab. Hands-on experience with Docker/K8s/OpenShift. Responsibilities: Design, build, and improve software utilizing various engineering methodologies to deliver business, platform, and technology capabilities for our customers and colleagues. Provide development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools, ensuring that code is scalable, maintainable, and optimized for performance. Participate in cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Cooperate with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implement effective unit testing practices to ensure proper code design, readability, and reliability. Take ownership of managing risk and strengthening controls for the work you do. Perform work closely related to other areas, requiring an understanding of how they coordinate and contribute to achieving the organization's sub-function objectives. Collaborate with other work areas to ensure support teams stay up to speed with business activity and the business strategy. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team, friendly and supportive community! About Svitla Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients - from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth. Svitla is proud to be an equal opportunity employer. Allqualified applicants will receive consideration for cooperation without regard to age, gender identity, sexual orientation, religion, race, color, national origin, disability, or any other characteristic protected by applicable law. Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow - and living it.
Apr 03, 2026
Full time
SvitlaSystems Inc. is looking for aSenior Java Full Stack Engineerfor a full-time position (40 hoursper week) inEurope.Our client is a prominent multinational universal bank with a history spanning over 325 years andoperatesin more than 40 countries. You willbe responsible forsupporting the successful delivery of location strategy projects in line with plan, budget, agreed quality, and governance standards.You'llspearhead the evolution of the digital landscape, drivinginnovation,and excellence. You will harnesscutting-edgetechnology torevolutionizedigitalofferings, ensuring unparalleled customer experiences. Office attendance:2-3 days per week in Glasgow. Overlap: 12-1 PM EST. Requirements: 6+ years of strong hands-on experience with Java 17/21. Solid experience with Spring MVC, Spring Boot, and Spring Security. In-depth understanding of the design and implementation of RESTful services. Knowledge of build tools such as Maven or Gradle. Strong experience in testing, including: Unit testing with JUnit / Mockito; Mutation testing with PIT/Stryker; Component testing with Karate, WireMock, or React Testing Library. Advanced experience in back-end development using Java/Spring Boot. Understanding of relational databases such as SQL Server and Oracle. Understanding of observability and monitoring tools, including logging and metrics for troubleshooting and debugging (e.g., Elastic/Kibana). Key critical skills relevant to success in the role include risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and work-specific technical skills. Nice to have: Familiarity with GitLab/Bitbucket. Understanding of cloud, working with DevOps (AWS), and Jenkins pipeline. Experience in working with Agile/Scrum methodology. Familiarity with Continuous Integration and DevOps using GitLab. Hands-on experience with Docker/K8s/OpenShift. Responsibilities: Design, build, and improve software utilizing various engineering methodologies to deliver business, platform, and technology capabilities for our customers and colleagues. Provide development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools, ensuring that code is scalable, maintainable, and optimized for performance. Participate in cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Cooperate with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implement effective unit testing practices to ensure proper code design, readability, and reliability. Take ownership of managing risk and strengthening controls for the work you do. Perform work closely related to other areas, requiring an understanding of how they coordinate and contribute to achieving the organization's sub-function objectives. Collaborate with other work areas to ensure support teams stay up to speed with business activity and the business strategy. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team, friendly and supportive community! About Svitla Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients - from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth. Svitla is proud to be an equal opportunity employer. Allqualified applicants will receive consideration for cooperation without regard to age, gender identity, sexual orientation, religion, race, color, national origin, disability, or any other characteristic protected by applicable law. Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow - and living it.
GlaxoSmithKline
Senior Applied AI Engineer
GlaxoSmithKline
About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive programme which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
About the Role At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerised deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6-8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerisation (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive programme which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. GSK US Benefits Summary Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
CloudFactory
Technical Lead (Go)
CloudFactory Reading, Berkshire
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are: Mission-Driven: We focus on creating economic and social impact. People-Centric: We care deeply about our team's growth, well-being, and sense of belonging. Innovative: We embrace change and find better ways to do things together. Globally Connected: We foster collaboration between diverse cultures and perspectives. If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board! Role Summary As a Lead Software Engineer (Tech Lead), you will own the technical direction, architecture, and day-to-day operation of our platforms. This role has a strong focus on DevOps, scalability, reliability, and delivery excellence. You'll partner closely with Product and Engineering teams to design and evolve robust, cloud-native systems, ensure the stability of existing platforms, and enable teams to ship high-quality software efficiently. You will also work directly with clients to design and deliver solutions on top of our platform-translating real business problems into pragmatic, scalable technical implementations. This is a hands-on leadership role that blends engineering, architecture, operational ownership, and technical mentorship. Responsibilities Lead system design and define scalable, cloud-native architectures Build, review, and maintain production systems primarily in Go Own the operation and maintenance of existing platforms, ensuring reliability, performance, and availability Own and evolve DevOps practices, including CI/CD, Kubernetes, and infrastructure automation Drive high standards for operational excellence, including monitoring, alerting, incident response, and observability Proactively manage and reduce technical debt through pragmatic architectural decisions Communicate technical decisions clearly through design docs, diagrams, and collaborative discussions Work with clients and internal stakeholders to design platform-based solutions that solve real business needs Support client integrations, proofs-of-concept, and solution architecture as needed Identify delivery and operational bottlenecks and continuously improve engineering workflows Mentor engineers and lead by example through code reviews and hands-on technical support Qualifications 7+ years of experience building, operating, and designing complex software systems Strong expertise in Go (Golang) Solid experience working with AWS Strong foundation in software architecture and distributed systems Experience with CI/CD pipelines, test automation, and observability tooling Hands on experience operating production systems, including on call rotations, incident management, and platform maintenance Comfortable working directly with clients and clearly explaining technical concepts Excellent communication skills and the ability to lead across teams Our Tech Stack Frontend: JavaScript, React, TypeScript Backend: Go, Python Databases: DynamoDB, DocumentDB, PostgreSQL CI/CD & Deployment: GitHub Actions Observability: New Relic Infrastructure: AWS services, GCP Benefits Great Mission and Culture Meaningful Work Market competitive salary Quarterly variable compensation Comprehensive medical cover Group life insurance Personal development and growth opportunities Periodic team building and social events At CloudFactory, we believe that work should be more than just a job-it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work-we can't wait to meet you!
Apr 03, 2026
Full time
At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale. More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are: Mission-Driven: We focus on creating economic and social impact. People-Centric: We care deeply about our team's growth, well-being, and sense of belonging. Innovative: We embrace change and find better ways to do things together. Globally Connected: We foster collaboration between diverse cultures and perspectives. If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board! Role Summary As a Lead Software Engineer (Tech Lead), you will own the technical direction, architecture, and day-to-day operation of our platforms. This role has a strong focus on DevOps, scalability, reliability, and delivery excellence. You'll partner closely with Product and Engineering teams to design and evolve robust, cloud-native systems, ensure the stability of existing platforms, and enable teams to ship high-quality software efficiently. You will also work directly with clients to design and deliver solutions on top of our platform-translating real business problems into pragmatic, scalable technical implementations. This is a hands-on leadership role that blends engineering, architecture, operational ownership, and technical mentorship. Responsibilities Lead system design and define scalable, cloud-native architectures Build, review, and maintain production systems primarily in Go Own the operation and maintenance of existing platforms, ensuring reliability, performance, and availability Own and evolve DevOps practices, including CI/CD, Kubernetes, and infrastructure automation Drive high standards for operational excellence, including monitoring, alerting, incident response, and observability Proactively manage and reduce technical debt through pragmatic architectural decisions Communicate technical decisions clearly through design docs, diagrams, and collaborative discussions Work with clients and internal stakeholders to design platform-based solutions that solve real business needs Support client integrations, proofs-of-concept, and solution architecture as needed Identify delivery and operational bottlenecks and continuously improve engineering workflows Mentor engineers and lead by example through code reviews and hands-on technical support Qualifications 7+ years of experience building, operating, and designing complex software systems Strong expertise in Go (Golang) Solid experience working with AWS Strong foundation in software architecture and distributed systems Experience with CI/CD pipelines, test automation, and observability tooling Hands on experience operating production systems, including on call rotations, incident management, and platform maintenance Comfortable working directly with clients and clearly explaining technical concepts Excellent communication skills and the ability to lead across teams Our Tech Stack Frontend: JavaScript, React, TypeScript Backend: Go, Python Databases: DynamoDB, DocumentDB, PostgreSQL CI/CD & Deployment: GitHub Actions Observability: New Relic Infrastructure: AWS services, GCP Benefits Great Mission and Culture Meaningful Work Market competitive salary Quarterly variable compensation Comprehensive medical cover Group life insurance Personal development and growth opportunities Periodic team building and social events At CloudFactory, we believe that work should be more than just a job-it should be a platform for growth, impact, and community. Here, you'll earn with purpose, learn every day, and serve a mission that truly matters. If you're looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we'd love to have you on this journey! Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work-we can't wait to meet you!
Senior Software Engineer (Full Remote - United Kingdom)
EverAI
Our Vision & Products EverAI - Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years - Help Us Reach 100M first, 500M next At EverAI, we're shaping what it means to connect with AI. With 50 million users and counting, we're not just building products - we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard - an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of 75 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos CEO • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin Co-founder & CTO • 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix Co-founder & CMO • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano CFO/Legal • 25+ years in Finance, Strategy, M&A • Ex-CFO/M& (exited to Blackstone) • Ex-President of the (exited) • (exited) Your Role Our tech team is expanding rapidly to keep pace with the ambitious feature roadmap we've set out. We are therefore hiring experienced Senior Software Engineers, to help us build and scale our product. You'll have the opportunity to help define our roadmap and find the best technical solutions to help our customers. You will also have time to run some experiments and bring new ideas to the table. Reporting directly to our Tech Lead, you will be responsible for: Interacting with the Product Manager to review project specs Preparing integration plans, break-downs, and estimations Hands-on code implementation, PRs, code reviews, testing, etc. You'll be working with Michael (co-founder and CTO) along with the product team and the engineering team (web developers, SRE, data scientists). What you will be working with Ruby, Ruby on Ruby (latest) PostgreSQL, Redis Hotwire (Turbo & Stimulus) Tailwind CSS Your Qualifications Must-haves 5+ years of experience: As a back-end or full-stack software engineer In tech scale-ups or any similarly agile and fast-paced environment On large-scale products where your code was used by thousands of monthly users Strong communication & collaborative skills (perfectly fluent in English) Ownership and commitment - we're looking for owners, not renters ️ Doer mindset - we are moving fast and we need people who can find the right balance between software craftsmanship and velocity User-centricity - you are proud of what you build and you share our obsession for amazing user experience - you are comfortable building products that are based on uncensored models and content Bonus points Past experience and/or interest in data science and generative AI (NLP, ML, MLOps, etc.) Experience working with globally distributed teams Why EverAI? Exponential Growth: From 50M users in 2 years, to 100M next - and 500M beyond Track Record of Category-Creating Innovation: We consistently launch world-first AI applications - setting the pace, not following it Global Impact: Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership: A senior team that's launched, scaled, and exited & IPO'd multiple scale ups - now fully focused on reshaping AI companionship Elite Remote Team: 100% remote and built to win - world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity ️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale What We Offer ️ Contract Type: We prefer B2B, but we're flexible, what matters is long term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset Annual Gathering: A yearly in person meetup to connect, brainstorm, and celebrate wins together ️ Health & Wellness Support: Monthly allowance of100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) Co Working Space Budget: Work from a co working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech, led by an exec team who've launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build - and who we build it with. We're looking for exceptional talent ready to ship & distribute world first AI products at scale, fast, and co create with us this category defining business. If that's you - reach out and apply! External Referral Program Know someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to 2,500 USD if they're hired. Submit a referral here.
Apr 03, 2026
Full time
Our Vision & Products EverAI - Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years - Help Us Reach 100M first, 500M next At EverAI, we're shaping what it means to connect with AI. With 50 million users and counting, we're not just building products - we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard - an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of 75 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos CEO • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin Co-founder & CTO • 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix Co-founder & CMO • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano CFO/Legal • 25+ years in Finance, Strategy, M&A • Ex-CFO/M& (exited to Blackstone) • Ex-President of the (exited) • (exited) Your Role Our tech team is expanding rapidly to keep pace with the ambitious feature roadmap we've set out. We are therefore hiring experienced Senior Software Engineers, to help us build and scale our product. You'll have the opportunity to help define our roadmap and find the best technical solutions to help our customers. You will also have time to run some experiments and bring new ideas to the table. Reporting directly to our Tech Lead, you will be responsible for: Interacting with the Product Manager to review project specs Preparing integration plans, break-downs, and estimations Hands-on code implementation, PRs, code reviews, testing, etc. You'll be working with Michael (co-founder and CTO) along with the product team and the engineering team (web developers, SRE, data scientists). What you will be working with Ruby, Ruby on Ruby (latest) PostgreSQL, Redis Hotwire (Turbo & Stimulus) Tailwind CSS Your Qualifications Must-haves 5+ years of experience: As a back-end or full-stack software engineer In tech scale-ups or any similarly agile and fast-paced environment On large-scale products where your code was used by thousands of monthly users Strong communication & collaborative skills (perfectly fluent in English) Ownership and commitment - we're looking for owners, not renters ️ Doer mindset - we are moving fast and we need people who can find the right balance between software craftsmanship and velocity User-centricity - you are proud of what you build and you share our obsession for amazing user experience - you are comfortable building products that are based on uncensored models and content Bonus points Past experience and/or interest in data science and generative AI (NLP, ML, MLOps, etc.) Experience working with globally distributed teams Why EverAI? Exponential Growth: From 50M users in 2 years, to 100M next - and 500M beyond Track Record of Category-Creating Innovation: We consistently launch world-first AI applications - setting the pace, not following it Global Impact: Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership: A senior team that's launched, scaled, and exited & IPO'd multiple scale ups - now fully focused on reshaping AI companionship Elite Remote Team: 100% remote and built to win - world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity ️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale What We Offer ️ Contract Type: We prefer B2B, but we're flexible, what matters is long term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset Annual Gathering: A yearly in person meetup to connect, brainstorm, and celebrate wins together ️ Health & Wellness Support: Monthly allowance of100 USD for health insurance expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) Co Working Space Budget: Work from a co working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Equipment: Company laptop provided + monitor budget up to 250 USD for your workspace setup AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech, led by an exec team who've launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build - and who we build it with. We're looking for exceptional talent ready to ship & distribute world first AI products at scale, fast, and co create with us this category defining business. If that's you - reach out and apply! External Referral Program Know someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to 2,500 USD if they're hired. Submit a referral here.
Senior Software Engineer
Northrop Grumman Corp. (JP)
UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Highest Level of Government Clearance TRAVEL: Yes, 10% of the Time Salary: £44,100 - £66,100 What's your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most - solving tomorrow's challenges and shaping the technology solutions of the future. It's what we call Defining Possible . This mindset goes beyond our customer solutions; it's the foundation for your career development and the positive impact we create within our communities. The Opportunity This is more than just a job; it's a mission . As a Senior Software Engineer, you will design, develop and maintain the critical software that underpins our mission-led solutions. You'll work across varied and meaningful projects, collaborating with talented engineers to solve complex and unique technical challenges. With the chance to influence architectural decisions, contribute to hands-on development, and help shape our engineering practices, this role offers a rare opportunity to make a genuine impact in a team committed to pushing boundaries. "My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together." - Matthew Bullock, Software Manager, Northrop Grumman UK. What you'll be doing Deliver hands on development and contribute directly to the codebase, including peer reviews. Design software features and clearly communicate design choices in line with product roadmaps. Break down complex work into clear, achievable tasks aligned with Agile delivery. Support the setup and maintenance of CI/CD pipelines. Showcase progress through demonstrations to internal and external stakeholders. What we're looking for Experience as a Software Engineer in one or more of the following: Backend development (Java Spring Boot, Maven, Python) Frontend development (JavaScript/TypeScript, React, npm) Familiarity with CI/CD, containerisation, deployment tools and cloud platforms (e.g. Jenkins, Kubernetes, Docker, AWS). Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Strong communication, collaboration and problem solving skills, ideally with some experience of Agile ways of working. If you meet most-but not all-of the criteria, we still encourage you to apply. We value potential as much as experience. Security Clearance Due to the nature of our work, you must be a UK national for this level of clearance. You must currently hold the highest level of UK Government security clearance . Our recruitment team is on hand to answer questions and guide you through the process: . What we offer Flexible and hybrid working options, including an optional compressed fortnight with every other Friday off. Private healthcare. Cash health plan and wellbeing support. Holiday buy/sell options. Career development pathways, mentoring and professional training. Performance related bonuses. Why join Northrop Grumman UK? A mission to believe in - Every day we contribute to building a more secure and connected world. From engineering data and intelligence solutions to maritime navigation and command systems for the UK and NATO, the work you do here matters. A place to belong and thrive - Every voice matters. You'll find supportive employee networks, partnerships with organisations including AFBE, Forces Transition Group, Mind and Women in Defence, and a culture where you can bring your full, authentic self to work. Your career, your way - Shape your future with diverse roles, learning opportunities and the flexibility to balance work with life. From health and wellbeing benefits to pension support and growth programmes, we're here to help you build the career that's right for you. Ready to apply? Yes - Submit your application online today. Possibly, I'd like to find out more - Contact our team at . No, I don't think this role is right for me - We're continuing to grow across the UK. Explore our other opportunities and discover what else might be possible. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Apr 03, 2026
Full time
UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Highest Level of Government Clearance TRAVEL: Yes, 10% of the Time Salary: £44,100 - £66,100 What's your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most - solving tomorrow's challenges and shaping the technology solutions of the future. It's what we call Defining Possible . This mindset goes beyond our customer solutions; it's the foundation for your career development and the positive impact we create within our communities. The Opportunity This is more than just a job; it's a mission . As a Senior Software Engineer, you will design, develop and maintain the critical software that underpins our mission-led solutions. You'll work across varied and meaningful projects, collaborating with talented engineers to solve complex and unique technical challenges. With the chance to influence architectural decisions, contribute to hands-on development, and help shape our engineering practices, this role offers a rare opportunity to make a genuine impact in a team committed to pushing boundaries. "My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together." - Matthew Bullock, Software Manager, Northrop Grumman UK. What you'll be doing Deliver hands on development and contribute directly to the codebase, including peer reviews. Design software features and clearly communicate design choices in line with product roadmaps. Break down complex work into clear, achievable tasks aligned with Agile delivery. Support the setup and maintenance of CI/CD pipelines. Showcase progress through demonstrations to internal and external stakeholders. What we're looking for Experience as a Software Engineer in one or more of the following: Backend development (Java Spring Boot, Maven, Python) Frontend development (JavaScript/TypeScript, React, npm) Familiarity with CI/CD, containerisation, deployment tools and cloud platforms (e.g. Jenkins, Kubernetes, Docker, AWS). Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Strong communication, collaboration and problem solving skills, ideally with some experience of Agile ways of working. If you meet most-but not all-of the criteria, we still encourage you to apply. We value potential as much as experience. Security Clearance Due to the nature of our work, you must be a UK national for this level of clearance. You must currently hold the highest level of UK Government security clearance . Our recruitment team is on hand to answer questions and guide you through the process: . What we offer Flexible and hybrid working options, including an optional compressed fortnight with every other Friday off. Private healthcare. Cash health plan and wellbeing support. Holiday buy/sell options. Career development pathways, mentoring and professional training. Performance related bonuses. Why join Northrop Grumman UK? A mission to believe in - Every day we contribute to building a more secure and connected world. From engineering data and intelligence solutions to maritime navigation and command systems for the UK and NATO, the work you do here matters. A place to belong and thrive - Every voice matters. You'll find supportive employee networks, partnerships with organisations including AFBE, Forces Transition Group, Mind and Women in Defence, and a culture where you can bring your full, authentic self to work. Your career, your way - Shape your future with diverse roles, learning opportunities and the flexibility to balance work with life. From health and wellbeing benefits to pension support and growth programmes, we're here to help you build the career that's right for you. Ready to apply? Yes - Submit your application online today. Possibly, I'd like to find out more - Contact our team at . No, I don't think this role is right for me - We're continuing to grow across the UK. Explore our other opportunities and discover what else might be possible. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
CloudFactory
Lead Software Engineer - Cloud-Native Architect & DevOps
CloudFactory Reading, Berkshire
A progressive technology firm in the UK seeks a Lead Software Engineer to steer the technical vision and architecture of cloud-native platforms. In this hands-on leadership role, you will design scalable systems, enhance DevOps practices, and mentor engineers while ensuring the reliability and performance of existing platforms. With a robust foundation in Go and AWS, your experience will drive innovations that address real business challenges and promote operational excellence. Join us to make a meaningful impact!
Apr 03, 2026
Full time
A progressive technology firm in the UK seeks a Lead Software Engineer to steer the technical vision and architecture of cloud-native platforms. In this hands-on leadership role, you will design scalable systems, enhance DevOps practices, and mentor engineers while ensuring the reliability and performance of existing platforms. With a robust foundation in Go and AWS, your experience will drive innovations that address real business challenges and promote operational excellence. Join us to make a meaningful impact!
Senior Software Engineer
Northrop Grumman Corp. (AU)
UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Highest Level of Government Clearance TRAVEL: Yes, 10% of the Time Salary: £44,100 - £66,100 What's your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most - solving tomorrow's challenges and shaping the technology solutions of the future. It's what we call Defining Possible . This mindset goes beyond our customer solutions; it's the foundation for your career development and the positive impact we create within our communities. The Opportunity This is more than just a job; it's a mission . As a Senior Software Engineer, you will design, develop and maintain the critical software that underpins our mission-led solutions. You'll work across varied and meaningful projects, collaborating with talented engineers to solve complex and unique technical challenges. With the chance to influence architectural decisions, contribute to hands-on development, and help shape our engineering practices, this role offers a rare opportunity to make a genuine impact in a team committed to pushing boundaries. "My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together." - Matthew Bullock, Software Manager, Northrop Grumman UK. What you'll be doing Deliver hands on development and contribute directly to the codebase, including peer reviews. Design software features and clearly communicate design choices in line with product roadmaps. Break down complex work into clear, achievable tasks aligned with Agile delivery. Support the setup and maintenance of CI/CD pipelines. Showcase progress through demonstrations to internal and external stakeholders. What we're looking for Experience as a Software Engineer in one or more of the following: Backend development (Java Spring Boot, Maven, Python) Frontend development (JavaScript/TypeScript, React, npm) Familiarity with CI/CD, containerisation, deployment tools and cloud platforms (e.g. Jenkins, Kubernetes, Docker, AWS). Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Strong communication, collaboration and problem solving skills, ideally with some experience of Agile ways of working. If you meet most-but not all-of the criteria, we still encourage you to apply. We value potential as much as experience. Security Clearance Due to the nature of our work, you must be a UK national for this level of clearance. You must currently hold the highest level of UK Government security clearance . Our recruitment team is on hand to answer questions and guide you through the process: . What we offer Flexible and hybrid working options, including an optional compressed fortnight with every other Friday off. Private healthcare. Cash health plan and wellbeing support. Holiday buy/sell options. Career development pathways, mentoring and professional training. Performance related bonuses. Why join Northrop Grumman UK? A mission to believe in - Every day we contribute to building a more secure and connected world. From engineering data and intelligence solutions to maritime navigation and command systems for the UK and NATO, the work you do here matters. A place to belong and thrive - Every voice matters. You'll find supportive employee networks, partnerships with organisations including AFBE, Forces Transition Group, Mind and Women in Defence, and a culture where you can bring your full, authentic self to work. Your career, your way - Shape your future with diverse roles, learning opportunities and the flexibility to balance work with life. From health and wellbeing benefits to pension support and growth programmes, we're here to help you build the career that's right for you. Ready to apply? Yes - Submit your application online today. Possibly, I'd like to find out more - Contact our team at . No, I don't think this role is right for me - We're continuing to grow across the UK. Explore our other opportunities and discover what else might be possible. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Apr 03, 2026
Full time
UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: UK-Highest Level of Government Clearance TRAVEL: Yes, 10% of the Time Salary: £44,100 - £66,100 What's your possible? At Northrop Grumman UK, you are part of a team driving innovation where it matters most - solving tomorrow's challenges and shaping the technology solutions of the future. It's what we call Defining Possible . This mindset goes beyond our customer solutions; it's the foundation for your career development and the positive impact we create within our communities. The Opportunity This is more than just a job; it's a mission . As a Senior Software Engineer, you will design, develop and maintain the critical software that underpins our mission-led solutions. You'll work across varied and meaningful projects, collaborating with talented engineers to solve complex and unique technical challenges. With the chance to influence architectural decisions, contribute to hands-on development, and help shape our engineering practices, this role offers a rare opportunity to make a genuine impact in a team committed to pushing boundaries. "My purpose is to lead a team of engineers, rise to the challenges presented, push the boundaries and define possible together." - Matthew Bullock, Software Manager, Northrop Grumman UK. What you'll be doing Deliver hands on development and contribute directly to the codebase, including peer reviews. Design software features and clearly communicate design choices in line with product roadmaps. Break down complex work into clear, achievable tasks aligned with Agile delivery. Support the setup and maintenance of CI/CD pipelines. Showcase progress through demonstrations to internal and external stakeholders. What we're looking for Experience as a Software Engineer in one or more of the following: Backend development (Java Spring Boot, Maven, Python) Frontend development (JavaScript/TypeScript, React, npm) Familiarity with CI/CD, containerisation, deployment tools and cloud platforms (e.g. Jenkins, Kubernetes, Docker, AWS). Understanding of database technologies such as SQL, Elasticsearch or MongoDB. Strong communication, collaboration and problem solving skills, ideally with some experience of Agile ways of working. If you meet most-but not all-of the criteria, we still encourage you to apply. We value potential as much as experience. Security Clearance Due to the nature of our work, you must be a UK national for this level of clearance. You must currently hold the highest level of UK Government security clearance . Our recruitment team is on hand to answer questions and guide you through the process: . What we offer Flexible and hybrid working options, including an optional compressed fortnight with every other Friday off. Private healthcare. Cash health plan and wellbeing support. Holiday buy/sell options. Career development pathways, mentoring and professional training. Performance related bonuses. Why join Northrop Grumman UK? A mission to believe in - Every day we contribute to building a more secure and connected world. From engineering data and intelligence solutions to maritime navigation and command systems for the UK and NATO, the work you do here matters. A place to belong and thrive - Every voice matters. You'll find supportive employee networks, partnerships with organisations including AFBE, Forces Transition Group, Mind and Women in Defence, and a culture where you can bring your full, authentic self to work. Your career, your way - Shape your future with diverse roles, learning opportunities and the flexibility to balance work with life. From health and wellbeing benefits to pension support and growth programmes, we're here to help you build the career that's right for you. Ready to apply? Yes - Submit your application online today. Possibly, I'd like to find out more - Contact our team at . No, I don't think this role is right for me - We're continuing to grow across the UK. Explore our other opportunities and discover what else might be possible. Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
Lead AI Engineer
AVEVA Denmark
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Apr 03, 2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
AI Augmented Engineering Lead
TP ICAP Group
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central part in advancing and scaling the organisation's AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices.This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you! Role Responsibilities AI-Enabled Engineering Practices Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights. Define guardrails and standards for the secure and responsible use of AI in engineering, aligned with organisational security and compliance requirements. Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).AWS-Centric DevSecOps Platform Leadership Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services. Design and optimise CI/CD pipelines with embedded security, quality, and policy controls. Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains. Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.Automation & Continuous Improvement Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices. Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards. Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement. Experience / Competences Essential Expertise in AI technologies including Generative AI and Machine Learning. Hands-on experience working with Large Language Models (LLMs). Track record in the architecture and design of AI driven solutions in software engineering Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design. Expertise in AWS AI services such as Bedrock and the Serverless eco system Strong experience with Python, React.js, and JavaScript Hands-on experience with CDK and Terraform for infrastructure automation Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack. Familiarity in security and compliance within cloud environments. Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments. Strong leadership capabilities, with experience leading technical projects and mentoring team members. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Desired AWS certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, AWS Certified AI Practitioner, or AWS Certified Developer - Associate. Job Band & Level Manager / 7 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
Apr 03, 2026
Full time
The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview The AI-Augmented Engineering Lead is responsible for integrating AI-driven solutions into engineering practices to improve developer productivity, software quality, and delivery velocity. The role plays a central part in advancing and scaling the organisation's AWS-based DevSecOps platform, embedding AI-augmented capabilities across tooling, pipelines, and operational practices.This role operates at the intersection of engineering leadership, platform engineering, and applied AI, enabling teams to deliver secure, reliable software at scale.This is a fantastic opportunity to make a significant impact within a forward-thinking organisation, contributing to the evolution of our cloud and platform engineering capabilities. If you have a passion for cloud technology, AI and automation, we would love to hear from you! Role Responsibilities AI-Enabled Engineering Practices Identify, evaluate, and implement AI-driven tools across the software development lifecycle, including coding assistance, automated testing, code quality, incident analysis, and operational insights. Define guardrails and standards for the secure and responsible use of AI in engineering, aligned with organisational security and compliance requirements. Assess and communicate the impact of AI adoption using clear metrics (e.g. lead time, defect rates, pipeline efficiency, developer experience).AWS-Centric DevSecOps Platform Leadership Lead the evolution of a central DevSecOps platform, integrating AI-augmented capabilities into core services. Design and optimise CI/CD pipelines with embedded security, quality, and policy controls. Manage and evolve artifact and dependency management using Nexus Repository, ensuring secure, reliable, and scalable software supply chains. Enhance observability and operational insight leveraging AI-assisted monitoring, alerting, and root cause analysis.Automation & Continuous Improvement Design, implement, and optimize AWS-based infrastructure solutions that align with business requirements and industry best practices. Stay current with AWS services, AI tooling, and DevSecOps trends, translating emerging capabilities into practical solutions. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Research and stay up-to-date on the latest advancements in cloud distributed systems and generative AI technologies and methodologies Project Leadership: Take ownership of cloud and platform engineering projects, ensuring they are delivered efficiently, securely, and in accordance with organizational standards. Collaboration & Mentorship: Work closely with cross-functional teams, sharing knowledge and best practices to foster continuous improvement. Experience / Competences Essential Expertise in AI technologies including Generative AI and Machine Learning. Hands-on experience working with Large Language Models (LLMs). Track record in the architecture and design of AI driven solutions in software engineering Extensive AWS expertise, including experience with cloud automation, security best practices, and architectural design. Expertise in AWS AI services such as Bedrock and the Serverless eco system Strong experience with Python, React.js, and JavaScript Hands-on experience with CDK and Terraform for infrastructure automation Experience with DevOps methodologies, SCM, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring and logging solutions such as Grafana, CloudWatch, Prometheus, or ELK Stack. Familiarity in security and compliance within cloud environments. Excellent problem-solving skills and the ability to troubleshoot complex cloud-based environments. Strong leadership capabilities, with experience leading technical projects and mentoring team members. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.Desired AWS certifications such as AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, AWS Certified AI Practitioner, or AWS Certified Developer - Associate. Job Band & Level Manager / 7 Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.

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