WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Software and Solutions Team is seeking a HPC Computational Scientist / Engineer to optimize scientific computing applications for AMD CPU and GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD's UK Center of Excellence (COE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures. Candidates must be based in or willing to relocate to the UK. THE PERSON: A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments-collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems. They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows. The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems and revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment. Additionally, they must be eligible for and willing to obtain UK DV clearance, which is required for customer-facing responsibilities within the UK COE. PREFERRED EXPERIENCE: Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation. Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable. ACADEMIC CREDENTIALS: PhD in Computer Science, Computational Physics, Engineering, or closely related fields with 3-5 years of exp Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available for reference. This posting is for an existing vacancy.
Mar 14, 2026
Full time
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Software and Solutions Team is seeking a HPC Computational Scientist / Engineer to optimize scientific computing applications for AMD CPU and GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD's UK Center of Excellence (COE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures. Candidates must be based in or willing to relocate to the UK. THE PERSON: A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments-collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems. They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows. The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems and revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment. Additionally, they must be eligible for and willing to obtain UK DV clearance, which is required for customer-facing responsibilities within the UK COE. PREFERRED EXPERIENCE: Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation. Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable. ACADEMIC CREDENTIALS: PhD in Computer Science, Computational Physics, Engineering, or closely related fields with 3-5 years of exp Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available for reference. This posting is for an existing vacancy.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Mar 14, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Join an AI-Focused Software Team Building Real Solutions Ready to move beyond basic commercial coding into cutting-edge AI application development? This is your chance to work with Python and modern technologies whilst building software that makes a real impact. You'll join an established software engineering team of 14 plus a hands-on CTO at a successful AI-focused product company in Leeds. With established clients and stable revenue streams, you'll help develop new AI solutions and take the platform forward. What You'll Be Doing You'll be developing AI software applications primarily using Python, working alongside experienced engineers who will support your growth into this exciting field. Our tech stack includes: Python TypeScript (React.js) Azure cloud services What We're Looking For We need someone with roughly 1-2 years (or more) post-graduation commercial experience in software development using modern programming languages. You might have experience with: Python Java .NET / C# JavaScript / TypeScript Similar modern languages Important: Specific Python experience isn't required. We believe good software engineers can adapt to any language with proper support and time. Our last two hires came from primarily C# (.NET) backgrounds. The Details Location: Leeds, Yorkshire. We operate a 2-3 days per week in the office policy. Central Leeds city office in a lovely, open plan shared tech hub space. Salary: Up to £45K basic (£35K - £45K, depending on experience level) + training & development budget + bonus scheme. Ready to Take the Next Step? If you're excited about moving into AI development with a supportive team and proven company, we'd love to hear from you. Hit apply or get in touch for a conversation about your future in AI software development.
Mar 14, 2026
Full time
Join an AI-Focused Software Team Building Real Solutions Ready to move beyond basic commercial coding into cutting-edge AI application development? This is your chance to work with Python and modern technologies whilst building software that makes a real impact. You'll join an established software engineering team of 14 plus a hands-on CTO at a successful AI-focused product company in Leeds. With established clients and stable revenue streams, you'll help develop new AI solutions and take the platform forward. What You'll Be Doing You'll be developing AI software applications primarily using Python, working alongside experienced engineers who will support your growth into this exciting field. Our tech stack includes: Python TypeScript (React.js) Azure cloud services What We're Looking For We need someone with roughly 1-2 years (or more) post-graduation commercial experience in software development using modern programming languages. You might have experience with: Python Java .NET / C# JavaScript / TypeScript Similar modern languages Important: Specific Python experience isn't required. We believe good software engineers can adapt to any language with proper support and time. Our last two hires came from primarily C# (.NET) backgrounds. The Details Location: Leeds, Yorkshire. We operate a 2-3 days per week in the office policy. Central Leeds city office in a lovely, open plan shared tech hub space. Salary: Up to £45K basic (£35K - £45K, depending on experience level) + training & development budget + bonus scheme. Ready to Take the Next Step? If you're excited about moving into AI development with a supportive team and proven company, we'd love to hear from you. Hit apply or get in touch for a conversation about your future in AI software development.
Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Android application development. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with data structures and algorithms. Experience in developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Design and implement features to improve the performance of public Android releases. Investigate and fix performance issues. Design and implement the guidelines and best practices for other developers to avoid performance bugs. Work with the executive engineers in the team to identify the new opportunities to build a premium Android experience. Collaborate with other teams to build and improve the tools and frameworks to track, investigate and fix performance issues. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing the Accommodations for Applicants form.
Mar 14, 2026
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with Android application development. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with data structures and algorithms. Experience in developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Design and implement features to improve the performance of public Android releases. Investigate and fix performance issues. Design and implement the guidelines and best practices for other developers to avoid performance bugs. Work with the executive engineers in the team to identify the new opportunities to build a premium Android experience. Collaborate with other teams to build and improve the tools and frameworks to track, investigate and fix performance issues. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing the Accommodations for Applicants form.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
Mar 14, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off:Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organization defined by our values. We start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co-founders of the Tech Zero coalition , we're working towards a climate-positive future. Check out our sustainability action plan here. At GoCardless we're committed to fostering an inclusive and high-performance culture built on trust and transparency. Interested in building your career at GoCardless? Get future opportunities sent straight to your email. To ensure you have a clear understanding of the compensation and potential growth for this opportunity, we've shared the full base salary pay range for this role. Please note, our approach is to offer salaries between the minimum and mid-point of the range. We want to manage expectations from the start, and if your application is successful you can discuss any questions around the pay range and salary with your Talent Partner.
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Senior Software Engineer Company Description VC-backed creative AI platform Job Description Join a pioneering team building assistive AI tools that empower filmmakers to transform storytelling. This senior backend leaning role involves designing and shipping high impact features, contributing to architectural decisions, and collaborating cross functionally to build scalable systems that redefine creative possibilities in entertainment. Location London, UK Why this role is remarkable Shape the future of creative industries by developing cutting edge AI tools that enhance artistic expression and production efficiency. Work with a well funded platform backed by top tier VCs, poised for significant growth and market leadership. Contribute to setting ethical AI standards in entertainment, ensuring innovation respects creative ownership and artist rights. What you will do Design, build, and maintain core systems and APIs using Python, ensuring quality, scalability, and performance. Own end to end development across the stack, from architecture and data modeling to deployment and monitoring. Collaborate closely with product managers, designers, and other engineers to translate requirements into robust, user delighting features. The ideal candidate Strong expertise in Python or another high level object oriented language with a modern web framework (e.g., FastAPI, Django, Flask). Proven experience designing and shipping production grade backend systems and APIs. Solid understanding of databases, data modeling, and query optimization (SQL and/or NoSQL). Who are Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click "Talk to Jack". Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Mar 13, 2026
Full time
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Senior Software Engineer Company Description VC-backed creative AI platform Job Description Join a pioneering team building assistive AI tools that empower filmmakers to transform storytelling. This senior backend leaning role involves designing and shipping high impact features, contributing to architectural decisions, and collaborating cross functionally to build scalable systems that redefine creative possibilities in entertainment. Location London, UK Why this role is remarkable Shape the future of creative industries by developing cutting edge AI tools that enhance artistic expression and production efficiency. Work with a well funded platform backed by top tier VCs, poised for significant growth and market leadership. Contribute to setting ethical AI standards in entertainment, ensuring innovation respects creative ownership and artist rights. What you will do Design, build, and maintain core systems and APIs using Python, ensuring quality, scalability, and performance. Own end to end development across the stack, from architecture and data modeling to deployment and monitoring. Collaborate closely with product managers, designers, and other engineers to translate requirements into robust, user delighting features. The ideal candidate Strong expertise in Python or another high level object oriented language with a modern web framework (e.g., FastAPI, Django, Flask). Proven experience designing and shipping production grade backend systems and APIs. Solid understanding of databases, data modeling, and query optimization (SQL and/or NoSQL). Who are Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click "Talk to Jack". Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Job Title: Senior Product Engineer (AI Focus) Salary: £170,000 - £200,000 + Equity Company Description: Gizmo.ai - Fast-growing EdTech startup recently raised a $22M Series A Job Description: Join the team building the 'Duolingo for Everything.' As a Senior Product Engineer, you will own the core intelligence behind a platform serving 1.5 million monthly users. Reporting to the CEO, you'll design agentic workflows and productionize AI features like automated marking and content generation to help one billion people learn. Location: London, UK Why this role is remarkable: Exceptional growth trajectory with 1.5M monthly active users and $5M ARR, backed by a recent $22M Series A funding round. High-impact ownership where you will design the core AI engine that sits at the heart of the product, not just side experiments. Work in an elite, flat 10-person engineering team in Shoreditch, collaborating directly with the founders to shape the future of education. What you will do: Design and ship end-to-end AI-driven features using a TypeScript stack, from initial concept through to production iteration. Build and optimize multi-step agentic prompt workflows and structured model pipelines to handle complex learning tasks at scale. Develop internal evaluation frameworks and quality metrics to systematically measure and improve the correctness of AI-generated outputs. The ideal candidate: 8+ years of software engineering experience with deep expertise in TypeScript and building robust, user-facing production systems. Proven track record of implementing applied AI, including agentic workflows and structured prompt engineering beyond simple API calls. Strong analytical background with a degree in ML, AI, or a quantitative field (Maths/Physics/CS) from a top-tier university. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free.
Mar 13, 2026
Full time
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to speak to Jack. Job Title: Senior Product Engineer (AI Focus) Salary: £170,000 - £200,000 + Equity Company Description: Gizmo.ai - Fast-growing EdTech startup recently raised a $22M Series A Job Description: Join the team building the 'Duolingo for Everything.' As a Senior Product Engineer, you will own the core intelligence behind a platform serving 1.5 million monthly users. Reporting to the CEO, you'll design agentic workflows and productionize AI features like automated marking and content generation to help one billion people learn. Location: London, UK Why this role is remarkable: Exceptional growth trajectory with 1.5M monthly active users and $5M ARR, backed by a recent $22M Series A funding round. High-impact ownership where you will design the core AI engine that sits at the heart of the product, not just side experiments. Work in an elite, flat 10-person engineering team in Shoreditch, collaborating directly with the founders to shape the future of education. What you will do: Design and ship end-to-end AI-driven features using a TypeScript stack, from initial concept through to production iteration. Build and optimize multi-step agentic prompt workflows and structured model pipelines to handle complex learning tasks at scale. Develop internal evaluation frameworks and quality metrics to systematically measure and improve the correctness of AI-generated outputs. The ideal candidate: 8+ years of software engineering experience with deep expertise in TypeScript and building robust, user-facing production systems. Proven track record of implementing applied AI, including agentic workflows and structured prompt engineering beyond simple API calls. Strong analytical background with a degree in ML, AI, or a quantitative field (Maths/Physics/CS) from a top-tier university. Next steps Step 1. Visit our website. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free.
Overview We are seeking Senior Software Engineers on either a hybrid or remote working basis to join our expanding development teams. and Jet2holidays are looking for a Senior Software Engineer to join our fast moving and growing software development team. This is an exciting role, working across a breadth of systems and technologies to deliver value and Create Memories for both our business and our customers. We have several roles within our wide range of scrum teams and are looking for passionate, technical people to join our team. What you'll do As a Senior Software Engineer, you will be joining a fast-paced scrum team, made up of a lead engineer, software engineers, automation and manual test engineers, product owners and business analysts. You will: Deliver systems that improve the experience of our customers and business users Build robust and scalable systems Actively engage in design discussions and decisions about projects Participate in team activities such as planning and estimation Mentor team members to facilitate their growth and progression Champion clean coding standards and practices. Benefits As our Senior Software Engineer, you'll have access to a wide range of benefits including: Colleague discounts on flights and Jet2holidays packages Access to a generous discretionary profit share scheme Annual pay reviews What is the tech stack? We have a wide range of technologies used across a large number of teams, including: C#, .NET Core, and Web API Web Application Frameworks (ASP.NET MVC, SPA) Enterprise content management achieved through Sitecore RESTful Microservices - light-weight efficient, decoupled APIs that scale well Event driven architectures (Kafka) Modern reactive JavaScript Frameworks (React, Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/CD pipelines What you'll have Our Senior Software Engineer will have previous experience in the usage of almost all our tech stacks and be extremely passionate about technology. You will also: Have strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders across the business Have prior mentoring experience or be willing to develop skills in this area to support the growth of software development team Be approachable and able to work as part of a team Offer support and expert guidance to colleagues where required
Mar 13, 2026
Full time
Overview We are seeking Senior Software Engineers on either a hybrid or remote working basis to join our expanding development teams. and Jet2holidays are looking for a Senior Software Engineer to join our fast moving and growing software development team. This is an exciting role, working across a breadth of systems and technologies to deliver value and Create Memories for both our business and our customers. We have several roles within our wide range of scrum teams and are looking for passionate, technical people to join our team. What you'll do As a Senior Software Engineer, you will be joining a fast-paced scrum team, made up of a lead engineer, software engineers, automation and manual test engineers, product owners and business analysts. You will: Deliver systems that improve the experience of our customers and business users Build robust and scalable systems Actively engage in design discussions and decisions about projects Participate in team activities such as planning and estimation Mentor team members to facilitate their growth and progression Champion clean coding standards and practices. Benefits As our Senior Software Engineer, you'll have access to a wide range of benefits including: Colleague discounts on flights and Jet2holidays packages Access to a generous discretionary profit share scheme Annual pay reviews What is the tech stack? We have a wide range of technologies used across a large number of teams, including: C#, .NET Core, and Web API Web Application Frameworks (ASP.NET MVC, SPA) Enterprise content management achieved through Sitecore RESTful Microservices - light-weight efficient, decoupled APIs that scale well Event driven architectures (Kafka) Modern reactive JavaScript Frameworks (React, Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/CD pipelines What you'll have Our Senior Software Engineer will have previous experience in the usage of almost all our tech stacks and be extremely passionate about technology. You will also: Have strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders across the business Have prior mentoring experience or be willing to develop skills in this area to support the growth of software development team Be approachable and able to work as part of a team Offer support and expert guidance to colleagues where required
Senior Backend Developer C#, .NET Core & SQL Salary £60-80k Hybrid (North Bristol) Would you like to join a national organisation that helps thousands of people across the UK during their time of need? They're looking to add a Senior Backend Developer to one of their core product teams. These products impact thousands of users daily, so you'll get to work on products that are in production and see the fruits of your labour. Their backend stack centres on C#, .NET Core & SQL, and a big focus for them is staying up to date with the latest developments in software engineering, so you'll be working on cutting-edge tech. Beyond your technical skills, they love people that work with the user in mind, collaborating closely with product, design, and engineering colleagues to deliver software that genuinely solves real-world problems. As a senior you'll also contribute towards mentoring more junior members of the team/ This is a fantastic opportunity to join a company that not only cares deeply about its customers but also invests heavily in technology. You'll also benefit from working alongside some of the best technical leaders that I know in the Southwest - career development potential here is absolutely fantastic! What you'll need Strong commercial experience as a Backend Developer (you can also have worked in a full stack role if you are particularly backend focussed) Proven expertise with C#, .NET Core & SQL Ideally experience in a product-side environment, but an agency background will be considered if you've worked on complex engineering products Ability to work effectively in a collaborative, multi-functional team High levels of curiosity and a user-focused mindset - you care about building solutions that solve real problems High levels of curiosity and the desire to create solutions that solve the problems of users Excellent interpersonal skills and genuine enjoyment from mentoring other team members Happy to come into the office in North Bristol 2 days a week (public transport is possible but it's best to have a car if you don't live in walking distance - free parking is available!) If you want to join a company with over a century of history that's still driving innovation and delivering positive impact to its customers, click apply below or drop me a line at .
Mar 13, 2026
Full time
Senior Backend Developer C#, .NET Core & SQL Salary £60-80k Hybrid (North Bristol) Would you like to join a national organisation that helps thousands of people across the UK during their time of need? They're looking to add a Senior Backend Developer to one of their core product teams. These products impact thousands of users daily, so you'll get to work on products that are in production and see the fruits of your labour. Their backend stack centres on C#, .NET Core & SQL, and a big focus for them is staying up to date with the latest developments in software engineering, so you'll be working on cutting-edge tech. Beyond your technical skills, they love people that work with the user in mind, collaborating closely with product, design, and engineering colleagues to deliver software that genuinely solves real-world problems. As a senior you'll also contribute towards mentoring more junior members of the team/ This is a fantastic opportunity to join a company that not only cares deeply about its customers but also invests heavily in technology. You'll also benefit from working alongside some of the best technical leaders that I know in the Southwest - career development potential here is absolutely fantastic! What you'll need Strong commercial experience as a Backend Developer (you can also have worked in a full stack role if you are particularly backend focussed) Proven expertise with C#, .NET Core & SQL Ideally experience in a product-side environment, but an agency background will be considered if you've worked on complex engineering products Ability to work effectively in a collaborative, multi-functional team High levels of curiosity and a user-focused mindset - you care about building solutions that solve real problems High levels of curiosity and the desire to create solutions that solve the problems of users Excellent interpersonal skills and genuine enjoyment from mentoring other team members Happy to come into the office in North Bristol 2 days a week (public transport is possible but it's best to have a car if you don't live in walking distance - free parking is available!) If you want to join a company with over a century of history that's still driving innovation and delivering positive impact to its customers, click apply below or drop me a line at .
Overview Job Title: Senior Software Engineer Salary: £85,000 - £115,000 + Equity Company Description: Fast-growing London fintech Location: London, UK Job Description Join a high-performance engineering team as a founding-level hire building high-throughput financial infrastructure. You will architect scalable systems for real-time data streaming and trade execution, working directly with a veteran leadership team. This role offers significant technical ownership as you scale critical backend services to support a rapidly expanding user base in the UK market. Why this role is remarkable Significant technical ownership over architecture and greenfield infrastructure projects for a high-volume platform. Backed by top-tier VCs and a record-breaking community funding round, ensuring strong market validation. Direct collaboration with an experienced founding team consisting of former tier-one banking and successful fintech scale-up leaders. Responsibilities Design and maintain robust, scalable systems for critical financial services using a modern, multi-language stack. Build high-performance connectivity and event-driven architectures to handle thousands of concurrent traders and real-time data. Mentor other engineers and foster a high-standard engineering culture through pragmatic software development and feedback. The ideal candidate At least six years of commercial experience building and maintaining high-volume, critical backend systems. Strong proficiency in languages such as Java, Python, or Go, with deep knowledge of distributed systems. Proven ability to work in a fast-paced startup environment and a commitment to on-call support for production reliability. About Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.
Mar 12, 2026
Full time
Overview Job Title: Senior Software Engineer Salary: £85,000 - £115,000 + Equity Company Description: Fast-growing London fintech Location: London, UK Job Description Join a high-performance engineering team as a founding-level hire building high-throughput financial infrastructure. You will architect scalable systems for real-time data streaming and trade execution, working directly with a veteran leadership team. This role offers significant technical ownership as you scale critical backend services to support a rapidly expanding user base in the UK market. Why this role is remarkable Significant technical ownership over architecture and greenfield infrastructure projects for a high-volume platform. Backed by top-tier VCs and a record-breaking community funding round, ensuring strong market validation. Direct collaboration with an experienced founding team consisting of former tier-one banking and successful fintech scale-up leaders. Responsibilities Design and maintain robust, scalable systems for critical financial services using a modern, multi-language stack. Build high-performance connectivity and event-driven architectures to handle thousands of concurrent traders and real-time data. Mentor other engineers and foster a high-standard engineering culture through pragmatic software development and feedback. The ideal candidate At least six years of commercial experience building and maintaining high-volume, critical backend systems. Strong proficiency in languages such as Java, Python, or Go, with deep knowledge of distributed systems. Proven ability to work in a fast-paced startup environment and a commitment to on-call support for production reliability. About Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.
A tech-forward AI platform in London is seeking a Senior Software Engineer to develop and scale innovative features. You will work closely with founders, tackling complex challenges in HR tech. This role offers a chance to contribute to a differentiated product backed by top-tier investors. The ideal candidate has a strong background in full-stack SaaS development, especially with Node.js and TypeScript, and thrives in a dynamic startup environment.
Mar 12, 2026
Full time
A tech-forward AI platform in London is seeking a Senior Software Engineer to develop and scale innovative features. You will work closely with founders, tackling complex challenges in HR tech. This role offers a chance to contribute to a differentiated product backed by top-tier investors. The ideal candidate has a strong background in full-stack SaaS development, especially with Node.js and TypeScript, and thrives in a dynamic startup environment.
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. About the team: Expedia Group Advertising is redefining how travel brands connect with global audiences. Our Publishing Team owns the end to end delivery of display and travel ads across Expedia's white label and partner platforms. We're building the next generation of video ad infrastructure, AI powered tooling, and Rapid API integrations to deliver smarter, more engaging ad experiences. In this role, you will: Design, implement, and evolve high quality software services and components, including system design, low level design, API design, and data modeling to support scalable, reliable products. Lead end to end delivery of complex technical features across services or domains, including requirements clarification, solution design, development, testing, deployment, and ongoing operational support. Collaborate closely with product, architecture, and cross functional engineering teams to define technical direction, align on standards, and ensure solutions meet business and customer needs. Improve the reliability, performance, security, and observability of services through robust engineering practices, including code reviews, automated testing, CI/CD, and production monitoring. Mentor and support other engineers through technical guidance, design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products in alignment with Expedia Group standards. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Professional software engineering experience that includes ownership of significant services or components within a multi service or domain environment. Proven proficiency in designing and building backend or full stack systems, including RESTful or similar APIs, data models, and integration patterns using industry standard languages, frameworks, and tooling. Experience applying sound software engineering practices such as object oriented or functional design, automated testing, code review, source control, and continuous integration/continuous delivery for production systems. Hands on experience supporting services in production, including monitoring, troubleshooting, and resolving issues to maintain availability and performance, with familiarity using or integrating AI driven tools in development or operations workflows. Preferred Qualifications: Experience designing and evolving distributed, high traffic or large scale systems, including making architectural tradeoffs related to performance, reliability, and cost within a service or domain. Demonstrated leadership in driving technical design for complex initiatives, such as defining APIs, data contracts, and low level designs that are extensible and maintainable across multiple services or teams. Strong focus on operational excellence, including building observability, resiliency patterns, and automation into services, and using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML enabled solutions that improve customer or business outcomes. Experience serving as a technical mentor or lead for projects, enabling cross team collaboration, guiding implementation quality, and contributing to or influencing engineering standards and best practices. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Mar 12, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. About the team: Expedia Group Advertising is redefining how travel brands connect with global audiences. Our Publishing Team owns the end to end delivery of display and travel ads across Expedia's white label and partner platforms. We're building the next generation of video ad infrastructure, AI powered tooling, and Rapid API integrations to deliver smarter, more engaging ad experiences. In this role, you will: Design, implement, and evolve high quality software services and components, including system design, low level design, API design, and data modeling to support scalable, reliable products. Lead end to end delivery of complex technical features across services or domains, including requirements clarification, solution design, development, testing, deployment, and ongoing operational support. Collaborate closely with product, architecture, and cross functional engineering teams to define technical direction, align on standards, and ensure solutions meet business and customer needs. Improve the reliability, performance, security, and observability of services through robust engineering practices, including code reviews, automated testing, CI/CD, and production monitoring. Mentor and support other engineers through technical guidance, design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products in alignment with Expedia Group standards. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Professional software engineering experience that includes ownership of significant services or components within a multi service or domain environment. Proven proficiency in designing and building backend or full stack systems, including RESTful or similar APIs, data models, and integration patterns using industry standard languages, frameworks, and tooling. Experience applying sound software engineering practices such as object oriented or functional design, automated testing, code review, source control, and continuous integration/continuous delivery for production systems. Hands on experience supporting services in production, including monitoring, troubleshooting, and resolving issues to maintain availability and performance, with familiarity using or integrating AI driven tools in development or operations workflows. Preferred Qualifications: Experience designing and evolving distributed, high traffic or large scale systems, including making architectural tradeoffs related to performance, reliability, and cost within a service or domain. Demonstrated leadership in driving technical design for complex initiatives, such as defining APIs, data contracts, and low level designs that are extensible and maintainable across multiple services or teams. Strong focus on operational excellence, including building observability, resiliency patterns, and automation into services, and using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML enabled solutions that improve customer or business outcomes. Experience serving as a technical mentor or lead for projects, enabling cross team collaboration, guiding implementation quality, and contributing to or influencing engineering standards and best practices. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We develop and run evaluations that help assess the risks posed by scheming AIs. You will get to work with frontier labs like OpenAI, Anthropic, and Google DeepMind and be amongst the first to interact with new models before anyone else. The ideal candidate loves rigorously testing frontier AI models, and enjoys building efficient pipelines and automating them. YOU WILL HAVE THE OPPORTUNITY TO Run pre-deployment evaluation campaigns on the most capable AI systems in the world. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. You'll be among the first people to interact with new models before anyone else. Deep dive into AI cognition. Scan through thousands of model transcripts to surface behavioral patterns that no one has ever observed before. These patterns are often deeply surprising and fascinating to study, e.g. the non-standard language and the reward seeking reasoning described in our anti scheming paper. Build new evaluations for frontier risks, from designing novel test environments to scaling them across hundreds of distinct scenarios. Work directly with frontier AI developers. Share your findings, engage with their feedback, and see your evaluations directly inform deployment decisions for the most capable AI systems in the world. Automate and improve the evaluation pipeline. We already use automation across building, running, and analyzing evals. Rapid progress in agent capabilities opens up radically new possibilities, and you'll have the freedom to rethink and reshape the pipeline as they emerge. KEY REQUIREMENTS Software engineering skills: Our entire stack uses Python. We're looking for candidates with strong software engineering experience. Ideally, you have experience shipping and maintaining production Python code, and know how to factor messy problems into clean abstractions that others can use and extend. Process optimisation: You always try to improve workflows. Pre deployment evaluations are very fast paced so ideally you love shaving friction off your workflows wherever possible. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing and communication: You succinctly convey qualitative and quantitative findings to a technical and non technical audience. AI power user: You are curious about the capabilities and propensities of frontier AI models. You have experience using different models, know which ones to use for which tasks, when not to use AI, and you always experiment with new AI workflows. (Bonus) We are using Inspect as our primary evals framework, and we value experience with it. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full-time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g. building evaluations and novel evaluation techniques), the science of scheming (e.g. model organisms and the study of scaling trends), and scheming mitigations (e.g. control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Höfstäter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide), such as building LM agent evaluations in Inspect. Your Privacy and Fairness in Our Recruitment Process We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at .
Mar 12, 2026
Full time
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We develop and run evaluations that help assess the risks posed by scheming AIs. You will get to work with frontier labs like OpenAI, Anthropic, and Google DeepMind and be amongst the first to interact with new models before anyone else. The ideal candidate loves rigorously testing frontier AI models, and enjoys building efficient pipelines and automating them. YOU WILL HAVE THE OPPORTUNITY TO Run pre-deployment evaluation campaigns on the most capable AI systems in the world. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. You'll be among the first people to interact with new models before anyone else. Deep dive into AI cognition. Scan through thousands of model transcripts to surface behavioral patterns that no one has ever observed before. These patterns are often deeply surprising and fascinating to study, e.g. the non-standard language and the reward seeking reasoning described in our anti scheming paper. Build new evaluations for frontier risks, from designing novel test environments to scaling them across hundreds of distinct scenarios. Work directly with frontier AI developers. Share your findings, engage with their feedback, and see your evaluations directly inform deployment decisions for the most capable AI systems in the world. Automate and improve the evaluation pipeline. We already use automation across building, running, and analyzing evals. Rapid progress in agent capabilities opens up radically new possibilities, and you'll have the freedom to rethink and reshape the pipeline as they emerge. KEY REQUIREMENTS Software engineering skills: Our entire stack uses Python. We're looking for candidates with strong software engineering experience. Ideally, you have experience shipping and maintaining production Python code, and know how to factor messy problems into clean abstractions that others can use and extend. Process optimisation: You always try to improve workflows. Pre deployment evaluations are very fast paced so ideally you love shaving friction off your workflows wherever possible. Data Analysis & Pattern Recognition: You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors. Writing and communication: You succinctly convey qualitative and quantitative findings to a technical and non technical audience. AI power user: You are curious about the capabilities and propensities of frontier AI models. You have experience using different models, know which ones to use for which tasks, when not to use AI, and you always experiment with new AI workflows. (Bonus) We are using Inspect as our primary evals framework, and we value experience with it. We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full-time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g. building evaluations and novel evaluation techniques), the science of scheming (e.g. model organisms and the study of scaling trends), and scheming mitigations (e.g. control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Höfstäter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide), such as building LM agent evaluations in Inspect. Your Privacy and Fairness in Our Recruitment Process We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at .
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We want to develop a "Science of Scheming". The goal is ambitious and we're looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. YOU WILL HAVE THE OPPORTUNITY TO - Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. - Deeply study the RL dynamics that lead to the emergence of reward seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. - Work towards "Scaling laws of scheming". Build the empirical foundations to predict how scheming risks evolve as models scale in capability. - Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. - Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note: We are not hiring for interpretability roles. KEY REQUIREMENTS A diverse range of skill sets will be required to drive our research agenda forward and we don't expect any single candidate to fulfill all the characteristics below. That being said, a successful candidate likely displays excellence at one or several of the following: Fast paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. Conceptual insights about scheming: You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature. You are able to turn vague and undefined concepts into concrete and insightful experiment proposals. Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL training LLMs: You have hands on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they don't fulfil all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. Apollo Research is primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g., to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Hofstätter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide); such as building LM agent evaluations in Inspect.
Mar 12, 2026
Full time
Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY We want to develop a "Science of Scheming". The goal is ambitious and we're looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. YOU WILL HAVE THE OPPORTUNITY TO - Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. - Deeply study the RL dynamics that lead to the emergence of reward seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. - Work towards "Scaling laws of scheming". Build the empirical foundations to predict how scheming risks evolve as models scale in capability. - Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. - Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note: We are not hiring for interpretability roles. KEY REQUIREMENTS A diverse range of skill sets will be required to drive our research agenda forward and we don't expect any single candidate to fulfill all the characteristics below. That being said, a successful candidate likely displays excellence at one or several of the following: Fast paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. Conceptual insights about scheming: You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature. You are able to turn vague and undefined concepts into concrete and insightful experiment proposals. Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL training LLMs: You have hands on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they don't fulfil all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don't require a formal background or industry experience and welcome self taught candidates. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Time Allocation: Full time Location: The office is in London, and the building is shared with the London Initiative for Safe AI (LISA) offices. This is an in person role. In rare situations, we may consider partially remote arrangements on a case by case basis. Work Visas: We can sponsor UK visas ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. Apollo Research is primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g., to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. ABOUT THE TEAM The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Hofstätter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman. Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi stage process includes a screening interview, a take home test (approx. 2.5 hours), 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode style general coding interviews. If you want to prepare for the interviews, we suggest working on hands on LLM evals projects (e.g. as suggested in our starter guide); such as building LM agent evaluations in Inspect.
Job Title: Senior Software Engineer (Full Stack) Salary: £80k-£100k + Equity Company Description: Humaans - YC-backed AI platform for workplace orchestration Job Description: Join a high-performance team building Athena, an agentic AI layer redefining HR infrastructure. You will own features end-to-end across a modern TypeScript stack, moving beyond simple data management into intelligent orchestration. Working directly with the founders, you'll solve complex problems for global customers like Poolside and Quantexa in a fast-scaling environment. Location: London, UK Why this role is remarkable: Work at the forefront of the AI transition in HR tech, building a differentiated platform backed by $20M from the founders of Slack, Figma, and Shopify. High-leverage environment where engineers aren't just handed specs; you'll partner with the CEO and Head of Engineering to shape product strategy and technical architecture. Exceptional engineering culture with a 5-year equity exercise window, top-tier private healthcare, and a small, elite team that prioritizes quality and craftsmanship. What you will do: Develop and scale end-to-end features using TypeScript, React, Node.js, and Postgres, deployed via Kubernetes on Google Cloud Platform. Architect and expand a public REST API and real-time WebSocket infrastructure to support a growing marketplace of third-party integrations. Collaborate deeply with product and design teams to translate complex workforce data models into reliable, AI-driven automation workflows for global enterprises. The ideal candidate: Extensive industry experience in full-stack SaaS development with deep proficiency in Node.js and a strong appreciation for TypeScript. Proven track record of taking ownership of vague product problems and driving them to high-quality, customer-ready releases in a fast-paced startup. Strong product sense and design craftsmanship, with the ability to balance technical excellence with pragmatic business trade-offs and user impact.
Mar 12, 2026
Full time
Job Title: Senior Software Engineer (Full Stack) Salary: £80k-£100k + Equity Company Description: Humaans - YC-backed AI platform for workplace orchestration Job Description: Join a high-performance team building Athena, an agentic AI layer redefining HR infrastructure. You will own features end-to-end across a modern TypeScript stack, moving beyond simple data management into intelligent orchestration. Working directly with the founders, you'll solve complex problems for global customers like Poolside and Quantexa in a fast-scaling environment. Location: London, UK Why this role is remarkable: Work at the forefront of the AI transition in HR tech, building a differentiated platform backed by $20M from the founders of Slack, Figma, and Shopify. High-leverage environment where engineers aren't just handed specs; you'll partner with the CEO and Head of Engineering to shape product strategy and technical architecture. Exceptional engineering culture with a 5-year equity exercise window, top-tier private healthcare, and a small, elite team that prioritizes quality and craftsmanship. What you will do: Develop and scale end-to-end features using TypeScript, React, Node.js, and Postgres, deployed via Kubernetes on Google Cloud Platform. Architect and expand a public REST API and real-time WebSocket infrastructure to support a growing marketplace of third-party integrations. Collaborate deeply with product and design teams to translate complex workforce data models into reliable, AI-driven automation workflows for global enterprises. The ideal candidate: Extensive industry experience in full-stack SaaS development with deep proficiency in Node.js and a strong appreciation for TypeScript. Proven track record of taking ownership of vague product problems and driving them to high-quality, customer-ready releases in a fast-paced startup. Strong product sense and design craftsmanship, with the ability to balance technical excellence with pragmatic business trade-offs and user impact.
Summary Meta Reality Labs Research (RL Research) brings together a world class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high performing Research Scientists to build machine perception technology allowing AI agents, and systems to perceive, understand, and reason about the 3D world around them. The aim of this role is to develop advanced algorithms for active perception and intelligent interaction. You will investigate novel architectures combining World Models, data driven control, and Machine Perception for real time applications. Leveraging data from egocentric devices (Project Aria) and robotic platforms, your work will span the full stack-from high fidelity 3D understanding to the predictive modeling of dynamics and actions-empowering agents to reason about and manipulate their surroundings. Research Scientist, World Models & Embodied AI Responsibilities Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, embodied reasoning, and/or predictive world modeling. Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results. Work with the team to design practical experiments and prototype systems related to dynamic scene modeling, long horizon reasoning, and machine perception. Contribute to publications and open sourcing efforts. Help identify long term ambitious research goals as well as intermediate milestones. Minimum Qualifications Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Robotics, AI, Computer Science, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience communicating research for public audiences of peers. Experience with real world system building and data collection, including design, coding, and evaluation with modern ML methods. Research experience involving 3D Computer Vision, Deep Learning, or Reinforcement Learning-specifically related to scene understanding, generative modeling, autonomous agents, or robotic control. Experience in developing and debugging in C/C++, Python, or Rust. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. Preferred Qualifications Hands on experience implementing 3D computer vision algorithms and training/evaluating large scale ML/AI models. Familiarity with Reinforcement Learning (RL), VLAs, control theory, or learning based planning. Experience bridging the gap between perception and action (e.g., Active Vision, Embodied AI, Inverse RL, or RLHF). Experience with physics simulators or synthetic environments (e.g., Habitat, MuJoCo, Isaac Lab). Experience working in a Unix environment. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub). Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals, or conferences such as CVPR, CoRL, ICRA, RSS, NeurIPS, ECCV, ICCV, IROS, or similar. Industry Internet
Mar 12, 2026
Full time
Summary Meta Reality Labs Research (RL Research) brings together a world class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking high performing Research Scientists to build machine perception technology allowing AI agents, and systems to perceive, understand, and reason about the 3D world around them. The aim of this role is to develop advanced algorithms for active perception and intelligent interaction. You will investigate novel architectures combining World Models, data driven control, and Machine Perception for real time applications. Leveraging data from egocentric devices (Project Aria) and robotic platforms, your work will span the full stack-from high fidelity 3D understanding to the predictive modeling of dynamics and actions-empowering agents to reason about and manipulate their surroundings. Research Scientist, World Models & Embodied AI Responsibilities Lead, collaborate, and execute on research that pushes forward the state of the art in 3D computer vision, embodied reasoning, and/or predictive world modeling. Directly contribute to experiments, including designing experimental details, authoring reusable code, running evaluations, and organizing results. Work with the team to design practical experiments and prototype systems related to dynamic scene modeling, long horizon reasoning, and machine perception. Contribute to publications and open sourcing efforts. Help identify long term ambitious research goals as well as intermediate milestones. Minimum Qualifications Currently has or is in the process of obtaining a PhD in the field of Computer Vision, Robotics, AI, Computer Science, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. Experience communicating research for public audiences of peers. Experience with real world system building and data collection, including design, coding, and evaluation with modern ML methods. Research experience involving 3D Computer Vision, Deep Learning, or Reinforcement Learning-specifically related to scene understanding, generative modeling, autonomous agents, or robotic control. Experience in developing and debugging in C/C++, Python, or Rust. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. Preferred Qualifications Hands on experience implementing 3D computer vision algorithms and training/evaluating large scale ML/AI models. Familiarity with Reinforcement Learning (RL), VLAs, control theory, or learning based planning. Experience bridging the gap between perception and action (e.g., Active Vision, Embodied AI, Inverse RL, or RLHF). Experience with physics simulators or synthetic environments (e.g., Habitat, MuJoCo, Isaac Lab). Experience working in a Unix environment. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub). Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals, or conferences such as CVPR, CoRL, ICRA, RSS, NeurIPS, ECCV, ICCV, IROS, or similar. Industry Internet
Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Mar 11, 2026
Full time
Energy Trading - Principal Software Engineer London About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side by side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview Indicium AI are seeking an exceptional Principal Software Engineer to lead delivery of exciting engagements within our Energy & Commodities Trading sector. This role demands a unique combination of hands on technical excellence and deep domain expertise in trading environments. You will architect and implement critical solutions that power real time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe to toe with senior engineering stakeholders in fast paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with high performance data architectures, real time streaming, APIs, etc and drive technical decision making across complex, multi system trading environments Lead the development of near real time and intraday solutions pipelines supporting trading operations across multiple asset classes Architect solutions which are able to integrate market data feeds, position management systems, market fundamentals, P&L Risk and Back Office solutions. Establish software engineering best practices and coding standards for trading applications, upskilling more junior members of our delivery teams Partner with client CTOs, Heads of Data, and Engineering Leads to align technical delivery with trading objectives and roadmaps and design and implement scalable AI and data solutions for leading trading organisations. Lead Front, Middle or Back Office transformation projects through to production delivery Act as the point of contact for all technical matters related to our engagements, owning the relationship with our client stakeholders alongside our Client Director Support industry thought leadership and Indicium AI's GTM proposition based on your experience of the sector and our work to date Navigate the nuances of physical and financial trading flows, data latency constraints, reliability and regulatory obligations Technical Expertise This is a hands on role requiring deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low latency, high throughput data systems with microsecond level performance requirements Cloud Platforms: Hands on experience with AWS and or Azure, including managed services for data processing and storage Databases: Deep knowledge of both transactional (PostgreSQL, SQL Server) and analytical databases (ClickHouse, MongoDB, etc.), with particular emphasis on time series data. Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast growing start up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one! Financially backed business meaning security and support for new initiatives and global market expansion Pick your own Gear! Macbooks, PCs, Accessories! Drive your development with a personal learning budget
Salary: Up to £80,000 dependent on experience HL are looking for a talented full stack Senior Software Engineer to join a Pensions & Retirement product engineering team in building market leading solutions for our clients. This is an opportunity to join the UK's number one investment services company, looking after over £180bn billion in assets on behalf of more than 2 million UK investors click apply for full job details
Mar 11, 2026
Full time
Salary: Up to £80,000 dependent on experience HL are looking for a talented full stack Senior Software Engineer to join a Pensions & Retirement product engineering team in building market leading solutions for our clients. This is an opportunity to join the UK's number one investment services company, looking after over £180bn billion in assets on behalf of more than 2 million UK investors click apply for full job details
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
Mar 11, 2026
Full time
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.
Senior Full Stack Engineer Remote Consortia is currently seeking Senior Full-Stack Engineers to join a leader in innovative financial technology and play a crucial role in shaping the evolution of its delivery and products. As an integral part of our Technology function, you will be at the forefront of building scalable and reliable systems that deliver exceptional outcomes for our customers. In this pivotal role, you will be instrumental in developing cutting-edge solutions that redefine the landscape of financial technology. Your responsibilities will include owning the entire lifecycle of solutions within cross-functional teams, addressing complex challenges independently, and contributing to the evolution of our products. Key Responsibilities: Work seamlessly within cross-functional engineering teams, taking charge of the entire lifecycle of solutions. Demonstrate the ability to tackle challenges independently, taking full ownership of problems. Employ a strong product mindset to address ambiguous problems, identify root causes, and propose optimal solutions. Thrive in a fast-paced and evolving environment, showcasing adaptability and resilience specific to the unique complexities of the financial technology industry. Requirements: 5+ years of experience as a Full Stack Engineer, with a strong track record of delivering end-to-end solutions. Proficiency with TypeScript, AWS Serverless, AWS Lambdas, DynamoDB, and Node.js is crucial. Familiarity with CI/CD pipelines, immutable infrastructure, containers, and serverless architectures. Demonstrated ability to tackle complex problems and drive them to completion independently. Understanding of financial technology or payments is a plus. Nice to Have: Experience with Flutter. Knowledge of Svelte. If the idea of becoming a Senior Full Stack Engineer in a dynamic, forward-thinking environment interests you, don't hesitate! Consortia operates as a specialist recruitment agency, with consultants focused on global roles within UX, Product, Data, and Engineering markets. Kindly be aware that due to the high volume of applications, we may not be able to respond to each applicant individually. However, we will keep your details for future reference when a more suitable opportunity becomes available.
Mar 10, 2026
Full time
Senior Full Stack Engineer Remote Consortia is currently seeking Senior Full-Stack Engineers to join a leader in innovative financial technology and play a crucial role in shaping the evolution of its delivery and products. As an integral part of our Technology function, you will be at the forefront of building scalable and reliable systems that deliver exceptional outcomes for our customers. In this pivotal role, you will be instrumental in developing cutting-edge solutions that redefine the landscape of financial technology. Your responsibilities will include owning the entire lifecycle of solutions within cross-functional teams, addressing complex challenges independently, and contributing to the evolution of our products. Key Responsibilities: Work seamlessly within cross-functional engineering teams, taking charge of the entire lifecycle of solutions. Demonstrate the ability to tackle challenges independently, taking full ownership of problems. Employ a strong product mindset to address ambiguous problems, identify root causes, and propose optimal solutions. Thrive in a fast-paced and evolving environment, showcasing adaptability and resilience specific to the unique complexities of the financial technology industry. Requirements: 5+ years of experience as a Full Stack Engineer, with a strong track record of delivering end-to-end solutions. Proficiency with TypeScript, AWS Serverless, AWS Lambdas, DynamoDB, and Node.js is crucial. Familiarity with CI/CD pipelines, immutable infrastructure, containers, and serverless architectures. Demonstrated ability to tackle complex problems and drive them to completion independently. Understanding of financial technology or payments is a plus. Nice to Have: Experience with Flutter. Knowledge of Svelte. If the idea of becoming a Senior Full Stack Engineer in a dynamic, forward-thinking environment interests you, don't hesitate! Consortia operates as a specialist recruitment agency, with consultants focused on global roles within UX, Product, Data, and Engineering markets. Kindly be aware that due to the high volume of applications, we may not be able to respond to each applicant individually. However, we will keep your details for future reference when a more suitable opportunity becomes available.
