About Us Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company. Our headquarters are in London, and we have key offices in Poland, Lisbon, Hong Kong, Gothenburg, Malmo and New York. Job Overview Macrobond is building a dedicated engineering capability to accelerate the development of AI-native products and workflows. As a Senior Fullstack Engineer, you will play a key role in delivering scalable, high quality software across the platform, contributing to areas such as semantic search, knowledge systems, and AI assisted research workflows. You will be responsible for designing, building, and maintaining end to end product capabilities, working across frontend, backend, and data layers. This role focuses on strong execution, technical ownership within defined areas, and close collaboration with Product, Design, and AI teams to deliver features that enable faster discovery, analysis, and decision making. Job Responsibilities System Design and Development Design and implement scalable, reliable full stack solutions across frontend and backend systems Own and deliver components and services within a defined product area Contribute to architectural decisions within your domain, ensuring maintainability and performance Ensure code quality through testing, code reviews, and adherence to engineering standards Product Delivery Translate product requirements into well structured technical solutions Deliver features end to end, from design through to production deployment Balance delivery speed with long term system quality and sustainability Identify and resolve technical risks, constraints, and dependencies AI Enabled Product Development Integrate AI capabilities into product workflows (e.g. search, insights, automation) Collaborate with AI Engineering to incorporate models, services, and pipelines into user facing applications Ensure reliability, observability, and performance of AI driven features in production Contribute to evaluation and iteration of AI powered capabilities Cross Functional Collaboration Work closely with Product Managers and Designers to shape and refine solutions Collaborate with other engineers to ensure consistency across systems and services Contribute to team delivery processes, including sprint planning, reviews, and retrospectives Support alignment across teams when working on shared systems or dependencies System Quality and Operations Build and maintain robust APIs, services, and frontend applications Ensure systems are secure, observable, and performant in production Monitor, debug, and resolve production issues Contribute to continuous improvement of development workflows, tooling, and infrastructure Required Qualifications and Experience Strong experience building and delivering full stack applications in a production environment Proven ability to design and implement scalable backend services and intuitive frontend interfaces Proficiency in modern frontend frameworks and backend technologies (languages/frameworks vary by stack) Experience working with APIs, distributed systems, and data intensive applications Solid understanding of system design, performance optimization, and reliability Experience integrating external services, including AI/ML capabilities, into applications Strong collaboration skills, with experience working closely with Product and Design Ability to work through ambiguity and independently drive technical solutions Experience working in fast paced, iterative development environments What do we offer Private medical insurance, inclusive of dental, vision, and hearing Life insurance Company pension scheme, with a strong employer contribution Gym discounts 25 days holiday per annum 2 Macrobond days to use per annum for volunteering Our commitment to Diversity At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By joining our team, you become part of an organization that believes diversity drives innovation and strengthens our collective performance. By using this website and submitting your information, you acknowledge our Candidate Privacy Notice and understand that your personal information may be processed in accordance with applicable Candidate Privacy Notice in your country of application. Apply today and become part of our exciting journey! Apply today and become part of our exciting journey!
27/07/2026
Full time
About Us Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company. Our headquarters are in London, and we have key offices in Poland, Lisbon, Hong Kong, Gothenburg, Malmo and New York. Job Overview Macrobond is building a dedicated engineering capability to accelerate the development of AI-native products and workflows. As a Senior Fullstack Engineer, you will play a key role in delivering scalable, high quality software across the platform, contributing to areas such as semantic search, knowledge systems, and AI assisted research workflows. You will be responsible for designing, building, and maintaining end to end product capabilities, working across frontend, backend, and data layers. This role focuses on strong execution, technical ownership within defined areas, and close collaboration with Product, Design, and AI teams to deliver features that enable faster discovery, analysis, and decision making. Job Responsibilities System Design and Development Design and implement scalable, reliable full stack solutions across frontend and backend systems Own and deliver components and services within a defined product area Contribute to architectural decisions within your domain, ensuring maintainability and performance Ensure code quality through testing, code reviews, and adherence to engineering standards Product Delivery Translate product requirements into well structured technical solutions Deliver features end to end, from design through to production deployment Balance delivery speed with long term system quality and sustainability Identify and resolve technical risks, constraints, and dependencies AI Enabled Product Development Integrate AI capabilities into product workflows (e.g. search, insights, automation) Collaborate with AI Engineering to incorporate models, services, and pipelines into user facing applications Ensure reliability, observability, and performance of AI driven features in production Contribute to evaluation and iteration of AI powered capabilities Cross Functional Collaboration Work closely with Product Managers and Designers to shape and refine solutions Collaborate with other engineers to ensure consistency across systems and services Contribute to team delivery processes, including sprint planning, reviews, and retrospectives Support alignment across teams when working on shared systems or dependencies System Quality and Operations Build and maintain robust APIs, services, and frontend applications Ensure systems are secure, observable, and performant in production Monitor, debug, and resolve production issues Contribute to continuous improvement of development workflows, tooling, and infrastructure Required Qualifications and Experience Strong experience building and delivering full stack applications in a production environment Proven ability to design and implement scalable backend services and intuitive frontend interfaces Proficiency in modern frontend frameworks and backend technologies (languages/frameworks vary by stack) Experience working with APIs, distributed systems, and data intensive applications Solid understanding of system design, performance optimization, and reliability Experience integrating external services, including AI/ML capabilities, into applications Strong collaboration skills, with experience working closely with Product and Design Ability to work through ambiguity and independently drive technical solutions Experience working in fast paced, iterative development environments What do we offer Private medical insurance, inclusive of dental, vision, and hearing Life insurance Company pension scheme, with a strong employer contribution Gym discounts 25 days holiday per annum 2 Macrobond days to use per annum for volunteering Our commitment to Diversity At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law. By joining our team, you become part of an organization that believes diversity drives innovation and strengthens our collective performance. By using this website and submitting your information, you acknowledge our Candidate Privacy Notice and understand that your personal information may be processed in accordance with applicable Candidate Privacy Notice in your country of application. Apply today and become part of our exciting journey! Apply today and become part of our exciting journey!
Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. . Job Description About the role: Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work: The Account Integrity Team The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. What will you be working on? This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: Building and refining critical controls to protect Wise customers accounts from account takeovers. Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary: £87,500 - 111,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on Instagram
27/07/2026
Full time
Wise is a global technology company, building the best way to move and manage the world's money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. . Job Description About the role: Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. How we work: The Account Integrity Team The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. What will you be working on? This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: Building and refining critical controls to protect Wise customers accounts from account takeovers. Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. What do you need? Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Interested? Find out more: How we work - a practical guide Wise Tech Stack (2025 update) See what it's like to work at Wise London! Our Engineering career map Wise Engineering - What do we offer: Starting salary: £87,500 - 111,000 + RSUs Wise Benefits Additional Information For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on Instagram
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with data analysis, data optimizations and data evaluations. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience working in a complex, matrixed organization. Experience in Gen AI. Experience in data optimization and data platforms. Experience with research to production. About the job the company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. In this role, you will be a part a team operating in the Gemini Era, where AI is profoundly data-centric, the "quality" data used for training, fine-tuning, or Retrieval-Augmented Generation (RAG) has greater impact one end product performance than almost anything else. Your mission is to improve the time to model quality for users, achieved by bringing data optimization techniques to a broad audience through integrated tools and platforms. In this role, the tooling automatically and efficiently applies data optimization techniques, and runs structured ablations to demonstrate to users which ones work best for their use case, and deliver insights on how to improve further. You will collaborate with key product teams across the company. The ML, Systems, & Cloud AI (MSCA) organization at the company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all the company services (Search, YouTube, etc.) and the company Cloud. Our end users are Googlers, Cloud customers and the billions of people who use the company services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including the company Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Scale data optimization techniques (including those from the company Research) to enhance the performance and quality of ML models, while heavily shaping the technical direction of data platforms for model tuning across multiple product areas. Establish technical relationships with multiple product areas to define strategy and drive technical directions. Leverage existing assets and techniques from the company Research to accelerate model tuning velocity for teams like Bard and other product areas fine-tuning Gemini models. Collaborate with Research teams and ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption. Apply research and enage directly with users to advance the company's goal of making AI helpful for everyone. the company 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 the company'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 our Accommodations for Applicants form.
27/07/2026
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with data analysis, data optimizations and data evaluations. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience working in a complex, matrixed organization. Experience in Gen AI. Experience in data optimization and data platforms. Experience with research to production. About the job the company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 the company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. In this role, you will be a part a team operating in the Gemini Era, where AI is profoundly data-centric, the "quality" data used for training, fine-tuning, or Retrieval-Augmented Generation (RAG) has greater impact one end product performance than almost anything else. Your mission is to improve the time to model quality for users, achieved by bringing data optimization techniques to a broad audience through integrated tools and platforms. In this role, the tooling automatically and efficiently applies data optimization techniques, and runs structured ablations to demonstrate to users which ones work best for their use case, and deliver insights on how to improve further. You will collaborate with key product teams across the company. The ML, Systems, & Cloud AI (MSCA) organization at the company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all the company services (Search, YouTube, etc.) and the company Cloud. Our end users are Googlers, Cloud customers and the billions of people who use the company services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including the company Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Scale data optimization techniques (including those from the company Research) to enhance the performance and quality of ML models, while heavily shaping the technical direction of data platforms for model tuning across multiple product areas. Establish technical relationships with multiple product areas to define strategy and drive technical directions. Leverage existing assets and techniques from the company Research to accelerate model tuning velocity for teams like Bard and other product areas fine-tuning Gemini models. Collaborate with Research teams and ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces and supporting users adoption. Apply research and enage directly with users to advance the company's goal of making AI helpful for everyone. the company 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 the company'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 our Accommodations for Applicants form.
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Senior Java Engineer to join our engineering team and play a key role in designing, developing, and maintaining scalable, high-performance applications. The ideal candidate will have strong expertise in Java-based enterprise systems, cloud-native development, and modern software engineering practices. Experience with Artificial Intelligence (AI) technologies and AI-enabled applications is highly desirable. Key Responsibilities: Design, develop, test, and maintain enterprise-grade Java applications. Assist with technical design discussions and contribute to architectural decisions. Develop scalable microservices and RESTful APIs. Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders. Review code, mentor engineers, and promote engineering best practices. Optimise application performance, reliability, and security. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Troubleshoot production issues and implement sustainable solutions. Contribute to CI/CD pipelines and cloud deployment strategies. Evaluate and adopt emerging technologies that improve product capabilities and development efficiency. Key Skills/Experience: You need to be technically sound but also be able to convey your knowledge and expertise to clients internally and externally. In terms of specific languages you should have commercial experience in some or all of the following; Strong proficiency in Java (Java 12+ preferred). Experience with Spring Boot, Spring Framework, and microservices architecture. Strong understanding of REST APIs, distributed systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge of software design patterns, data structures, and system design principles. Desirable Skills Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
27/07/2026
Full time
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are seeking an experienced Senior Java Engineer to join our engineering team and play a key role in designing, developing, and maintaining scalable, high-performance applications. The ideal candidate will have strong expertise in Java-based enterprise systems, cloud-native development, and modern software engineering practices. Experience with Artificial Intelligence (AI) technologies and AI-enabled applications is highly desirable. Key Responsibilities: Design, develop, test, and maintain enterprise-grade Java applications. Assist with technical design discussions and contribute to architectural decisions. Develop scalable microservices and RESTful APIs. Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders. Review code, mentor engineers, and promote engineering best practices. Optimise application performance, reliability, and security. Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives. Troubleshoot production issues and implement sustainable solutions. Contribute to CI/CD pipelines and cloud deployment strategies. Evaluate and adopt emerging technologies that improve product capabilities and development efficiency. Key Skills/Experience: You need to be technically sound but also be able to convey your knowledge and expertise to clients internally and externally. In terms of specific languages you should have commercial experience in some or all of the following; Strong proficiency in Java (Java 12+ preferred). Experience with Spring Boot, Spring Framework, and microservices architecture. Strong understanding of REST APIs, distributed systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge of software design patterns, data structures, and system design principles. Desirable Skills Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
Senior Product Designer Who is Parser? Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you. How will you impact? We're looking for an experienced UX/UI designer who thrives in fast-moving, agile teams and wants to shape the future of business banking. You'll be confident taking ideas from early concept through to polished, dev-ready designs, combining strong UX thinking, high-quality UI craft and fluency with modern AI-enabled design and prototyping tools. You'll know how to turn complexity into simple, intuitive experiences that are useful, usable and desirable for customers. You'll work closely with product, engineering and design to uncover priorities, visualise outcomes and define scope, using insight, evidence and experimentation to guide decisions. Just as importantly, you'll be confident presenting your work, shaping discussions with stakeholders and iterating quickly in response to feedback. Above all, you'll care deeply about solving meaningful customer problems and ensuring human needs remain at the centre of the solutions we ship. Your key responsibilities: Own the end-to-end design of digital experiences, from problem framing and user flows through to high-fidelity, production-ready UI for web and mobile. Use research, data and sound design judgement to balance user needs, business goals and technical constraints, shaping solutions that are intuitive, eJective and commercially relevant. Create clear interaction models, page layouts and interface designs using components from a central design system, with strong attention to hierarchy, content, usability and visual craft. Bring ideas to life through rapid prototyping and iteration, using tools such as Figma and AI-native design tools like Google Stitch to explore, test and refine concepts at pace. Design inclusive, accessible experiences that work for customers with a wide range of needs, backgrounds and levels of digital confidence. Collaborate confidently in agile, cross-functional teams to uncover priorities, visualise outcomes, define scope and support high-quality delivery. Work closely with engineers to ensure designs are feasible, well-documented and translated into robust, high-quality experiences in market. Help evolve and strengthen our design system, patterns and ways of working so we can scale quality and consistency across products. Use storytelling and strong communication to present design thinking clearly, align stakeholders and build confidence in the decisions we make. What you'll bring to the role: Strong experience designing end-to-end digital products, with a portfolio that shows clear ownership from discovery and interaction design through to polished, high-fidelity UI. Deep expertise in UX and UI craft, including user flows, information architecture, prototyping, layout, hierarchy, interaction patterns and visual design for responsive digital experiences. Confidence using research, data and testing to shape design decisions, interpret insight and iterate towards better outcomes for customers and the business. Advanced proficiency in Figma and modern prototyping tools, with experience using AI-enabled design workflows to accelerate exploration, iteration and communication of ideas. Strong experience working with design systems and creating interfaces that are scalable, accessible and consistent across complex product ecosystems. A strong understanding of inclusive and accessible design, with a commitment to creating experiences that work for people with diverse needs, backgrounds and levels of digital confidence. The ability to thrive in agile, multi-disciplinary teams, partnering closely with product managers, researchers, content designers, service designers and engineers. Strong communication and storytelling skills, with the confidence to explain design rationale, influence stakeholders and bring others with you. Experience working in complex organisations or regulated environments; experience in financial services essential. Curiosity, energy and a growth mindset, with a genuine interest in emerging tools, new ways of working and the future of AI-native product design. Location: Candidates based in UK/London: Hybrid model, 2-3 days per week in the office at London (Paddington) You will receive: The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built. The opportunity to form part of an amazing, multicultural community of tech experts. A highly competitive compensation package. Medical insurance. Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes. Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight. Come and join our . Follow us on LinkedIn
27/07/2026
Full time
Senior Product Designer Who is Parser? Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you. How will you impact? We're looking for an experienced UX/UI designer who thrives in fast-moving, agile teams and wants to shape the future of business banking. You'll be confident taking ideas from early concept through to polished, dev-ready designs, combining strong UX thinking, high-quality UI craft and fluency with modern AI-enabled design and prototyping tools. You'll know how to turn complexity into simple, intuitive experiences that are useful, usable and desirable for customers. You'll work closely with product, engineering and design to uncover priorities, visualise outcomes and define scope, using insight, evidence and experimentation to guide decisions. Just as importantly, you'll be confident presenting your work, shaping discussions with stakeholders and iterating quickly in response to feedback. Above all, you'll care deeply about solving meaningful customer problems and ensuring human needs remain at the centre of the solutions we ship. Your key responsibilities: Own the end-to-end design of digital experiences, from problem framing and user flows through to high-fidelity, production-ready UI for web and mobile. Use research, data and sound design judgement to balance user needs, business goals and technical constraints, shaping solutions that are intuitive, eJective and commercially relevant. Create clear interaction models, page layouts and interface designs using components from a central design system, with strong attention to hierarchy, content, usability and visual craft. Bring ideas to life through rapid prototyping and iteration, using tools such as Figma and AI-native design tools like Google Stitch to explore, test and refine concepts at pace. Design inclusive, accessible experiences that work for customers with a wide range of needs, backgrounds and levels of digital confidence. Collaborate confidently in agile, cross-functional teams to uncover priorities, visualise outcomes, define scope and support high-quality delivery. Work closely with engineers to ensure designs are feasible, well-documented and translated into robust, high-quality experiences in market. Help evolve and strengthen our design system, patterns and ways of working so we can scale quality and consistency across products. Use storytelling and strong communication to present design thinking clearly, align stakeholders and build confidence in the decisions we make. What you'll bring to the role: Strong experience designing end-to-end digital products, with a portfolio that shows clear ownership from discovery and interaction design through to polished, high-fidelity UI. Deep expertise in UX and UI craft, including user flows, information architecture, prototyping, layout, hierarchy, interaction patterns and visual design for responsive digital experiences. Confidence using research, data and testing to shape design decisions, interpret insight and iterate towards better outcomes for customers and the business. Advanced proficiency in Figma and modern prototyping tools, with experience using AI-enabled design workflows to accelerate exploration, iteration and communication of ideas. Strong experience working with design systems and creating interfaces that are scalable, accessible and consistent across complex product ecosystems. A strong understanding of inclusive and accessible design, with a commitment to creating experiences that work for people with diverse needs, backgrounds and levels of digital confidence. The ability to thrive in agile, multi-disciplinary teams, partnering closely with product managers, researchers, content designers, service designers and engineers. Strong communication and storytelling skills, with the confidence to explain design rationale, influence stakeholders and bring others with you. Experience working in complex organisations or regulated environments; experience in financial services essential. Curiosity, energy and a growth mindset, with a genuine interest in emerging tools, new ways of working and the future of AI-native product design. Location: Candidates based in UK/London: Hybrid model, 2-3 days per week in the office at London (Paddington) You will receive: The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built. The opportunity to form part of an amazing, multicultural community of tech experts. A highly competitive compensation package. Medical insurance. Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes. Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight. Come and join our . Follow us on LinkedIn
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Staff TypeScript Engineer based in United Kingdom. Join a fast-moving engineering team building AI-powered enterprise software that transforms how organizations manage complex business workflows. In this role, you will take ownership of designing and delivering scalable backend services, modern web applications, and cloud-native infrastructure while collaborating directly with enterprise customers. You'll work in an AI-first development environment where advanced coding agents accelerate delivery, allowing engineers to focus on architecture, technical judgment, and product quality. This position offers broad technical ownership across the full stack, the opportunity to influence engineering practices, and the chance to solve challenging real-world problems within a collaborative, remote-first environment. Ideal for experienced engineers who thrive in early-stage settings, the role combines product thinking, customer engagement, and cutting-edge software development. Accountabilities Design, build, and deliver production-ready features across a modern TypeScript technology stack. Own backend services, APIs, integrations, data pipelines, and serverless cloud infrastructure to ensure scalable and reliable applications. Contribute to frontend development using modern React and Next.js technologies when required. Partner directly with enterprise customers and internal stakeholders to understand business challenges and translate them into well-designed technical solutions. Build and maintain integrations with third-party platforms, enterprise systems, and external APIs. Design, deploy, and optimize serverless, event-driven architectures on AWS while contributing to infrastructure-as-code practices. Leverage AI coding tools and agents to accelerate software development, while reviewing, validating, testing, and improving generated code to maintain production-quality standards. Promote engineering excellence through code reviews, architectural improvements, security best practices, and continuous process enhancements. Help shape the technical direction of the platform while identifying new opportunities to improve customer value and product capabilities. Requirements Extensive professional experience as a Senior or Staff Software Engineer with deep expertise in TypeScript. Strong backend development experience using Node.js, Bun, or similar JavaScript runtimes. Proven ability to contribute across the full stack, including modern React and Next.js applications. Hands on experience designing, deploying, and operating production systems on AWS using serverless and event driven architectures. Strong understanding of API design, distributed systems, backend integrations, and relational databases such as PostgreSQL. Experience with Infrastructure as Code tools and cloud automation practices. Demonstrated ability to work directly with enterprise customers, gather requirements, communicate technical trade offs, and independently deliver high quality solutions. Experience using AI assisted software development tools as a core part of daily engineering workflows, with the ability to critically evaluate and take ownership of AI-generated code. Excellent problem solving skills, communication abilities, technical judgment, organization, and ownership mindset. Experience in early stage startups, enterprise AI products, workflow automation, cloud architecture, infrastructure tools such as SST or Pulumi, or integrations with enterprise platforms is considered a strong advantage. Benefits Competitive annual compensation ranging from approximately USD $100,000 to $140,000, with higher compensation available for exceptional candidates. Flexible engagement as a contractor or contract to hire. Fully remote work with preference for candidates based in Europe. Opportunity to work with modern AI native engineering practices and advanced development tools. High level of ownership and direct influence on product architecture and technical direction. Close collaboration with enterprise customers on impactful, real world software solutions. Small, collaborative engineering team offering significant autonomy, learning opportunities, and career growth.
27/07/2026
Full time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior/Staff TypeScript Engineer based in United Kingdom. Join a fast-moving engineering team building AI-powered enterprise software that transforms how organizations manage complex business workflows. In this role, you will take ownership of designing and delivering scalable backend services, modern web applications, and cloud-native infrastructure while collaborating directly with enterprise customers. You'll work in an AI-first development environment where advanced coding agents accelerate delivery, allowing engineers to focus on architecture, technical judgment, and product quality. This position offers broad technical ownership across the full stack, the opportunity to influence engineering practices, and the chance to solve challenging real-world problems within a collaborative, remote-first environment. Ideal for experienced engineers who thrive in early-stage settings, the role combines product thinking, customer engagement, and cutting-edge software development. Accountabilities Design, build, and deliver production-ready features across a modern TypeScript technology stack. Own backend services, APIs, integrations, data pipelines, and serverless cloud infrastructure to ensure scalable and reliable applications. Contribute to frontend development using modern React and Next.js technologies when required. Partner directly with enterprise customers and internal stakeholders to understand business challenges and translate them into well-designed technical solutions. Build and maintain integrations with third-party platforms, enterprise systems, and external APIs. Design, deploy, and optimize serverless, event-driven architectures on AWS while contributing to infrastructure-as-code practices. Leverage AI coding tools and agents to accelerate software development, while reviewing, validating, testing, and improving generated code to maintain production-quality standards. Promote engineering excellence through code reviews, architectural improvements, security best practices, and continuous process enhancements. Help shape the technical direction of the platform while identifying new opportunities to improve customer value and product capabilities. Requirements Extensive professional experience as a Senior or Staff Software Engineer with deep expertise in TypeScript. Strong backend development experience using Node.js, Bun, or similar JavaScript runtimes. Proven ability to contribute across the full stack, including modern React and Next.js applications. Hands on experience designing, deploying, and operating production systems on AWS using serverless and event driven architectures. Strong understanding of API design, distributed systems, backend integrations, and relational databases such as PostgreSQL. Experience with Infrastructure as Code tools and cloud automation practices. Demonstrated ability to work directly with enterprise customers, gather requirements, communicate technical trade offs, and independently deliver high quality solutions. Experience using AI assisted software development tools as a core part of daily engineering workflows, with the ability to critically evaluate and take ownership of AI-generated code. Excellent problem solving skills, communication abilities, technical judgment, organization, and ownership mindset. Experience in early stage startups, enterprise AI products, workflow automation, cloud architecture, infrastructure tools such as SST or Pulumi, or integrations with enterprise platforms is considered a strong advantage. Benefits Competitive annual compensation ranging from approximately USD $100,000 to $140,000, with higher compensation available for exceptional candidates. Flexible engagement as a contractor or contract to hire. Fully remote work with preference for candidates based in Europe. Opportunity to work with modern AI native engineering practices and advanced development tools. High level of ownership and direct influence on product architecture and technical direction. Close collaboration with enterprise customers on impactful, real world software solutions. Small, collaborative engineering team offering significant autonomy, learning opportunities, and career growth.
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Science Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis, and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Data Science Engineering services to our clients. Senior Data Science Engineers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Data Science Engineer will be a key player and implementer in this. Please note we are looking for candidates who are looking for growth at the Senior level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in a Nutshell Lead the production of user-centred data science solutions, ensuring adherence to best practices and business requirements. Facilitate collaboration with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that you need Essential Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing and randomised control trials. Deep understanding of product delivery from requirements to desirable business outcomes. Desirable Experience Demonstrable experience applying Natural Language Processing (NLP) to areas such as information retrieval. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
27/07/2026
Full time
About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Science Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis, and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Senior Consultant to deliver Data Science Engineering services to our clients. Senior Data Science Engineers are experienced practitioners who lead by example, ensuring technical excellence within squads and mentoring junior members of the engineering community. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries that allow our customers to understand and get the most from their data and digital services. The Senior Data Science Engineer will be a key player and implementer in this. Please note we are looking for candidates who are looking for growth at the Senior level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in a Nutshell Lead the production of user-centred data science solutions, ensuring adherence to best practices and business requirements. Facilitate collaboration with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that you need Essential Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing and randomised control trials. Deep understanding of product delivery from requirements to desirable business outcomes. Desirable Experience Demonstrable experience applying Natural Language Processing (NLP) to areas such as information retrieval. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we're transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% & Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we're dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we're Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story & Purpose, Our Culture & Values, Case Studies and Our Solutions & Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
Full Stack Engineer (Investment Platform) req4534 Posted on: 15/07/2026 - Application Deadline: 29/07/2026 Are you ready tochart your own career path? With our refreshed strategy, we're building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success.This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes. At a glance: Location: London - Lombard Street Office Workplace Type: Hybrid Employment Type: Permanent Seniority: Mid-Senior Level This role is known as 'Investment Platform Engineer' internally About the role: The Investment Platforms team bridges the gap between Investments and Technology, partnering closely with the Investment Directorate and Investment Operations teams to deliver technology change and operate platform systems that underpin our Investment Proposition. They manage a diverse and specialist technology landscape, including discrete applications, platform technologies, underlying data stores, market data solutions, and 3rd party managed services. The team works with the broader technology community to ensure Investment systems are scalable, secure, and aligned with business priorities, enabling innovation and operational excellence across the investment lifecycle. As an Investment Platform Engineer, you will engineer and support the end to end development, enhancement, and release of platform features using a broad range of technologies including but not limited to; Python, web frameworks, SQL, and React. You will ensure the reliability of internal applications, contribute to the availability and monitoring of automated workloads, and help deliver robust data and application services for investment teams. You will also configure and execute jobs across third party investment platforms including Bloomberg, Aladdin, and FactSet, acting as a technology SME and partnering with Data, Technology, and Vendor Management teams to ensure enhancements to the investment technology estate are resilient, scalable, and fit for purpose. This is an excellent opportunity for a technical professional looking to specialise in investment management technology, combining software engineering, data engineering, and applied investment systems knowledge. What you'll be doing: Delivering features end to end, including development, testing, release, and maintenance. Implementing high quality engineering practices including code versioning, peer reviews, optimisation, and adherence to development standards. Monitoring and managing automated job execution across internal and third party systems, escalating and resolving issues where needed. Maintaining highly reliable platform environments, ensuring data stores, APIs, and analytics tools remain available and accurate. Executing and configuring scripted or scheduled processes supporting investment teams. Performing data extraction, manipulation, and analysis using Python and SQL to support application logic and operational workflows. Investigating data anomalies and ensure the accuracy and integrity of investment datasets (security, positions, prices etc). Reconciling systems to ensure consistent data across the platform ecosystem. Acting as an Investment Tech SME when working with Data, Technology, and Vendor Management teams on platform enhancements. Supporting colleagues across Investment functions to self serve analysis and reporting via platform applications. Contributing to Data Stewardship activities by representing investment data requirements and ensuring upstream changes remain robust. Identifying opportunities to enhance platform workflows, engineering processes, automation, and overall system reliability. Promoting best practices for EUDA (End User Developed Application) governance and coding standards within Investment teams About you: We're looking for a curious and hands on engineer with strong Python and SQL skills, a passion for building reliable applications, and the ability to bridge technology and investment teams. You'll be a proactive problem solver who enjoys improving systems, automating processes, and delivering real business value. Experienced in building & maintaining applications to support internal business processes and workflows. Highly capable in data pipelining using tools like Airflow & DBT, and data extraction, manipulation and reporting using Python & SQL. Experience with code versioning, optimisation and associated best practices, including Git, pull requests, unit testing, CI/CD and familiarity with enterprise SDLC Data analysis to investigate and quality control datasets feeding applications. Ideally within an asset management context Practical experience building, deploying, or running data/software solutions on cloud infrastructure (AWS/Azure) Experience in using and supporting investment technology platforms such as Bloomberg, Factset, Aladdin, Axioma, Knowledge of typical financial/asset management data domains (positions, security, prices) and common asset classes Special Requirements: Some business travel may be necessary What's in it for you? We reward youfor the work you do, whether that's through our discretionary annual bonus scheme that reflects bothpersonal and company performance, competitive annual leave allowance (28 daysplus bank holidays, with the option to purchase an additional 5 days), oronline rewards platform with a variety of discounts. We also havebenefits to support whatever stage of life you are in, including: Competitive parental leave (26 weeks full pay) Private medical insurance (optional taxable benefit) 10% non-contributory pension (increasing with length of service) Reasonable Adjustments We're an equalopportunities employer and want to ensure our recruitment process is accessibleand inclusive for all, if you require reasonable adjustment(s) at any stageplease let us know by emailing us at Research tells usthat applicants (especially those from underrepresented groups) can be put offfrom applying for a role if they do not meet all the criteria or have been onan extended career-break. If you think you would be a good match for this role andcan demonstrate some transferable experience please apply, regardless ofwhether you tick every box.
27/07/2026
Full time
Full Stack Engineer (Investment Platform) req4534 Posted on: 15/07/2026 - Application Deadline: 29/07/2026 Are you ready tochart your own career path? With our refreshed strategy, we're building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success.This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes. At a glance: Location: London - Lombard Street Office Workplace Type: Hybrid Employment Type: Permanent Seniority: Mid-Senior Level This role is known as 'Investment Platform Engineer' internally About the role: The Investment Platforms team bridges the gap between Investments and Technology, partnering closely with the Investment Directorate and Investment Operations teams to deliver technology change and operate platform systems that underpin our Investment Proposition. They manage a diverse and specialist technology landscape, including discrete applications, platform technologies, underlying data stores, market data solutions, and 3rd party managed services. The team works with the broader technology community to ensure Investment systems are scalable, secure, and aligned with business priorities, enabling innovation and operational excellence across the investment lifecycle. As an Investment Platform Engineer, you will engineer and support the end to end development, enhancement, and release of platform features using a broad range of technologies including but not limited to; Python, web frameworks, SQL, and React. You will ensure the reliability of internal applications, contribute to the availability and monitoring of automated workloads, and help deliver robust data and application services for investment teams. You will also configure and execute jobs across third party investment platforms including Bloomberg, Aladdin, and FactSet, acting as a technology SME and partnering with Data, Technology, and Vendor Management teams to ensure enhancements to the investment technology estate are resilient, scalable, and fit for purpose. This is an excellent opportunity for a technical professional looking to specialise in investment management technology, combining software engineering, data engineering, and applied investment systems knowledge. What you'll be doing: Delivering features end to end, including development, testing, release, and maintenance. Implementing high quality engineering practices including code versioning, peer reviews, optimisation, and adherence to development standards. Monitoring and managing automated job execution across internal and third party systems, escalating and resolving issues where needed. Maintaining highly reliable platform environments, ensuring data stores, APIs, and analytics tools remain available and accurate. Executing and configuring scripted or scheduled processes supporting investment teams. Performing data extraction, manipulation, and analysis using Python and SQL to support application logic and operational workflows. Investigating data anomalies and ensure the accuracy and integrity of investment datasets (security, positions, prices etc). Reconciling systems to ensure consistent data across the platform ecosystem. Acting as an Investment Tech SME when working with Data, Technology, and Vendor Management teams on platform enhancements. Supporting colleagues across Investment functions to self serve analysis and reporting via platform applications. Contributing to Data Stewardship activities by representing investment data requirements and ensuring upstream changes remain robust. Identifying opportunities to enhance platform workflows, engineering processes, automation, and overall system reliability. Promoting best practices for EUDA (End User Developed Application) governance and coding standards within Investment teams About you: We're looking for a curious and hands on engineer with strong Python and SQL skills, a passion for building reliable applications, and the ability to bridge technology and investment teams. You'll be a proactive problem solver who enjoys improving systems, automating processes, and delivering real business value. Experienced in building & maintaining applications to support internal business processes and workflows. Highly capable in data pipelining using tools like Airflow & DBT, and data extraction, manipulation and reporting using Python & SQL. Experience with code versioning, optimisation and associated best practices, including Git, pull requests, unit testing, CI/CD and familiarity with enterprise SDLC Data analysis to investigate and quality control datasets feeding applications. Ideally within an asset management context Practical experience building, deploying, or running data/software solutions on cloud infrastructure (AWS/Azure) Experience in using and supporting investment technology platforms such as Bloomberg, Factset, Aladdin, Axioma, Knowledge of typical financial/asset management data domains (positions, security, prices) and common asset classes Special Requirements: Some business travel may be necessary What's in it for you? We reward youfor the work you do, whether that's through our discretionary annual bonus scheme that reflects bothpersonal and company performance, competitive annual leave allowance (28 daysplus bank holidays, with the option to purchase an additional 5 days), oronline rewards platform with a variety of discounts. We also havebenefits to support whatever stage of life you are in, including: Competitive parental leave (26 weeks full pay) Private medical insurance (optional taxable benefit) 10% non-contributory pension (increasing with length of service) Reasonable Adjustments We're an equalopportunities employer and want to ensure our recruitment process is accessibleand inclusive for all, if you require reasonable adjustment(s) at any stageplease let us know by emailing us at Research tells usthat applicants (especially those from underrepresented groups) can be put offfrom applying for a role if they do not meet all the criteria or have been onan extended career-break. If you think you would be a good match for this role andcan demonstrate some transferable experience please apply, regardless ofwhether you tick every box.
London Stock Exchange Group (LSEG) is seeking a Senior Java Developer to join our FX trading technology team. You will help develop and improve systems that support trading, delivering reliable, faster, scalable software. You will collaborate with engineers, product partners and operations, take ownership of features from development through production, and contribute to code reviews, testing and secure coding practices.
27/07/2026
Full time
London Stock Exchange Group (LSEG) is seeking a Senior Java Developer to join our FX trading technology team. You will help develop and improve systems that support trading, delivering reliable, faster, scalable software. You will collaborate with engineers, product partners and operations, take ownership of features from development through production, and contribute to code reviews, testing and secure coding practices.
At the UK Data Archive, home to the UK's largest collection of social science survey data, we are on a mission to become a world-class repository for cross-disciplinary data. Central to our strategy is the adoption of modern software engineering practices such as testing, security, and building in quality during the development. We are looking for a Senior software engineer who will be instrumental in achieving these goals by helping to build innovative software solutions while working within an AWS cloud infrastructure first environment. This role is a great opportunity for someone who is creative and eager to make a real difference. You will be part of a driven, mixed team and work in a place that really values learning and experimentation. You will be a key member of the development team and work closely with them. As a Senior Software Engineer, you will play a pivotal role in delivering software solutions that are cloud native, safe, secure, robust, and highly performant. Your involvement will be instrumental in creating innovative solutions that provide meaningful value to end users and impact them in a positive way. Your core responsibilities will include designing, maintaining, and optimising the software solutions as part of the development team. You will have a keen focus on automation, ensuring that all aspects of the SDLC that can be automated, are automated, to facilitate continuous integration and rapid development and deployment cycles. You will also be responsible for ensuring the security of the software design. This includes implementing robust security policies and ensuring compliance with industry standards and best practices for handling and managing data. As a Senior Software Engineer, you will require a strong foundation in C# and .NET Core, coupled with expertise in AWS services. You must be proficient in designing and implementing scalable cloud-native architectures, leveraging technologies like Terraform or AWS CDK. A solid understanding of relational and NoSQL databases, as well as front-end technologies, is essential. Additionally, experience with DevOps practices, including CI/CD pipelines and containerization technologies like Docker and Kubernetes, is highly desired. Strong problem-solving skills, effective communication and collaboration abilities, and a passion for mentoring junior engineers and staying updated with the latest C# and .NET trends are also highly valued. Optional Python skills can be beneficial for data science, machine learning, or automation tasks. Familiarity or being comfortable with Linux would be very welcomed. Interest in other statically typed languages such as Java would be valued. This post is full-time and fixed term until 31st March 2030. Whilst this is a full-time post, we would also consider applications from anyone looking to work 0.8 FTE or from those looking to work as part of a job share arrangement (18 hours per week). This post involves access to Government systems, information or data and will be subject to the staff vetting process. Further information can be found in the job pack. Please use the Apply button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .
27/07/2026
Full time
At the UK Data Archive, home to the UK's largest collection of social science survey data, we are on a mission to become a world-class repository for cross-disciplinary data. Central to our strategy is the adoption of modern software engineering practices such as testing, security, and building in quality during the development. We are looking for a Senior software engineer who will be instrumental in achieving these goals by helping to build innovative software solutions while working within an AWS cloud infrastructure first environment. This role is a great opportunity for someone who is creative and eager to make a real difference. You will be part of a driven, mixed team and work in a place that really values learning and experimentation. You will be a key member of the development team and work closely with them. As a Senior Software Engineer, you will play a pivotal role in delivering software solutions that are cloud native, safe, secure, robust, and highly performant. Your involvement will be instrumental in creating innovative solutions that provide meaningful value to end users and impact them in a positive way. Your core responsibilities will include designing, maintaining, and optimising the software solutions as part of the development team. You will have a keen focus on automation, ensuring that all aspects of the SDLC that can be automated, are automated, to facilitate continuous integration and rapid development and deployment cycles. You will also be responsible for ensuring the security of the software design. This includes implementing robust security policies and ensuring compliance with industry standards and best practices for handling and managing data. As a Senior Software Engineer, you will require a strong foundation in C# and .NET Core, coupled with expertise in AWS services. You must be proficient in designing and implementing scalable cloud-native architectures, leveraging technologies like Terraform or AWS CDK. A solid understanding of relational and NoSQL databases, as well as front-end technologies, is essential. Additionally, experience with DevOps practices, including CI/CD pipelines and containerization technologies like Docker and Kubernetes, is highly desired. Strong problem-solving skills, effective communication and collaboration abilities, and a passion for mentoring junior engineers and staying updated with the latest C# and .NET trends are also highly valued. Optional Python skills can be beneficial for data science, machine learning, or automation tasks. Familiarity or being comfortable with Linux would be very welcomed. Interest in other statically typed languages such as Java would be valued. This post is full-time and fixed term until 31st March 2030. Whilst this is a full-time post, we would also consider applications from anyone looking to work 0.8 FTE or from those looking to work as part of a job share arrangement (18 hours per week). This post involves access to Government systems, information or data and will be subject to the staff vetting process. Further information can be found in the job pack. Please use the Apply button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .
Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.
27/07/2026
Full time
Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.
Dowds is a long established, multidisciplinary engineering and construction Building Services Engineering company headquartered in Ballymena, Northern Ireland. Founded in 1978, ourexpertise spans the full lifecycle of complex-built environments from initial design and systems integration through to installation, commissioning, and handover. Across specific sectors: life science, commercial, education and healthcare. Operating at a gold standard for best managed company and investors in people, our vision is to set the standard for excellence, driving progress, responsibility, and lasting impact. While keeping our clients and our people at the heart of what we do. We are seeking Dowds is seeking an experienced and driven Quality Manager to lead and oversee quality assurance across our projects and business operations. This is a key role responsible for ensuring that all works are delivered to the highest standards, in line with regulatory requirements, client expectations, and internal processes. Working closely with operational teams, you will embed a culture of continuous improvement, ensuring quality standards are maintained across our Mechanical, Electrical, and Construction activities. What you'll be responsible for Lead the development, implementation, and maintenance of the Quality Management System (QMS) in line with ISO 9001 Ensure compliance with all regulatory, contractual, and internal quality standards Conduct internal audits, site inspections, and supplier evaluations Support project teams in developing Inspection & Test Plans (ITPs) and quality documentation Identify non-conformances and lead root cause analysis and corrective actions Drive a culture of continuous improvement across all business units Act as the main point of contact for external audits and client quality requirements Collaborate with SHEQ and operational teams to ensure integrated compliance Provide training and guidance to staff on quality standards and procedures Monitor and report on quality performance metrics to senior leadership What we are looking for Proven experience in a Quality Manager or Senior Quality Engineer role within construction, M&E, or engineering sectors Strong knowledge of ISO 9001 Quality Management Systems Experience conducting audits and managing quality documentation Ability to interpret technical drawings, specifications, and standards Strong stakeholder management and communication skills Experience managing non-conformances and driving improvement initiatives Full UK driving license Experience within MEP / building services / construction projects Knowledge of wider ISO standards (e.g., ISO 14001, ISO 45001) Familiarity with digital quality management systems Experience working across multiple sites or large-scale projects Why Join Dowds 41 Days Holiday Early Finish Fridays Private Medical Bonus Pension Work from home Plus, many more All CV's will be reviewed after 10th August Dowds is an Equal Opportunities Employer
27/07/2026
Full time
Dowds is a long established, multidisciplinary engineering and construction Building Services Engineering company headquartered in Ballymena, Northern Ireland. Founded in 1978, ourexpertise spans the full lifecycle of complex-built environments from initial design and systems integration through to installation, commissioning, and handover. Across specific sectors: life science, commercial, education and healthcare. Operating at a gold standard for best managed company and investors in people, our vision is to set the standard for excellence, driving progress, responsibility, and lasting impact. While keeping our clients and our people at the heart of what we do. We are seeking Dowds is seeking an experienced and driven Quality Manager to lead and oversee quality assurance across our projects and business operations. This is a key role responsible for ensuring that all works are delivered to the highest standards, in line with regulatory requirements, client expectations, and internal processes. Working closely with operational teams, you will embed a culture of continuous improvement, ensuring quality standards are maintained across our Mechanical, Electrical, and Construction activities. What you'll be responsible for Lead the development, implementation, and maintenance of the Quality Management System (QMS) in line with ISO 9001 Ensure compliance with all regulatory, contractual, and internal quality standards Conduct internal audits, site inspections, and supplier evaluations Support project teams in developing Inspection & Test Plans (ITPs) and quality documentation Identify non-conformances and lead root cause analysis and corrective actions Drive a culture of continuous improvement across all business units Act as the main point of contact for external audits and client quality requirements Collaborate with SHEQ and operational teams to ensure integrated compliance Provide training and guidance to staff on quality standards and procedures Monitor and report on quality performance metrics to senior leadership What we are looking for Proven experience in a Quality Manager or Senior Quality Engineer role within construction, M&E, or engineering sectors Strong knowledge of ISO 9001 Quality Management Systems Experience conducting audits and managing quality documentation Ability to interpret technical drawings, specifications, and standards Strong stakeholder management and communication skills Experience managing non-conformances and driving improvement initiatives Full UK driving license Experience within MEP / building services / construction projects Knowledge of wider ISO standards (e.g., ISO 14001, ISO 45001) Familiarity with digital quality management systems Experience working across multiple sites or large-scale projects Why Join Dowds 41 Days Holiday Early Finish Fridays Private Medical Bonus Pension Work from home Plus, many more All CV's will be reviewed after 10th August Dowds is an Equal Opportunities Employer
Overview At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For We are seeking a Senior UX/Product Designer to craft next-generation ditigtal experience that combine human-centered design with intelligent, Ai-drive capabilities. As part of our experience design team, you'll lead product initiatives from research and ideation through launch, leveraging advanced design systems, predictive user ingiths, and modern prototyping tools to deliver exceptional user outcomes at scale. The role blends deep design craft with forward-looking thinking about how AI transforms interaction, workflow, and personalization in large-scale software environments. Responsibilities Lead end-to-end product design initiatives - from discovery, ideation and prototyping to validation and delivery. Define design strategies ath integrate AI capabilities such as adaptive interfaces, personalization and predictive UX Flows. Work closely with Product Management, Engineering, and Hardware teams to define and implement end-to-end user experiences. Use modern design tools and frameworks to create robust prototypes and validate design decisions. Conduct research using emerging frameworks that blend qualitative methods (interviews, participatory design) with quantitative analysis. Collaborate on evolving multi-modal design systems-voice, touch, gesture, and ambient feedback-ensuring continuity across physical and digital touchpoints. Advocate for accessibility, privacy, and human impact in all connected experiences. Support a culture of design excellence through mentorship, critique, and cross-team collaboration. Qualifications 8+ years of experience designing systems and interfaces for products in IoT, consumer hardware, or connected services. Strong portfolio demonstrating product design for multi-device ecosystems (mobile, web, wearables, home or screenless). Fluent in Figma, FigJam, Framer, and design operations tools for collaboration and system management. Familiarity with LLM-assisted design ideation and user testing workflows. Experience integrating data from usage telemetry and user feedback into the design process. Comfortable working in agile, cross-functional environments where hardware and software innovation intersect. Skilled at crafting consistent, context-aware interfaces that adapt across platforms. Preferred Experience in AI-augmented product ecosystems or intelligent assistant design. Background in HCI, cognitive computing, or industrial design. Previous experience in global-scale tech, or high-growth SaaS enterprise or consumer electronics companies. Incentive Compensation In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Job Posting Statement To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.
27/07/2026
Full time
Overview At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For We are seeking a Senior UX/Product Designer to craft next-generation ditigtal experience that combine human-centered design with intelligent, Ai-drive capabilities. As part of our experience design team, you'll lead product initiatives from research and ideation through launch, leveraging advanced design systems, predictive user ingiths, and modern prototyping tools to deliver exceptional user outcomes at scale. The role blends deep design craft with forward-looking thinking about how AI transforms interaction, workflow, and personalization in large-scale software environments. Responsibilities Lead end-to-end product design initiatives - from discovery, ideation and prototyping to validation and delivery. Define design strategies ath integrate AI capabilities such as adaptive interfaces, personalization and predictive UX Flows. Work closely with Product Management, Engineering, and Hardware teams to define and implement end-to-end user experiences. Use modern design tools and frameworks to create robust prototypes and validate design decisions. Conduct research using emerging frameworks that blend qualitative methods (interviews, participatory design) with quantitative analysis. Collaborate on evolving multi-modal design systems-voice, touch, gesture, and ambient feedback-ensuring continuity across physical and digital touchpoints. Advocate for accessibility, privacy, and human impact in all connected experiences. Support a culture of design excellence through mentorship, critique, and cross-team collaboration. Qualifications 8+ years of experience designing systems and interfaces for products in IoT, consumer hardware, or connected services. Strong portfolio demonstrating product design for multi-device ecosystems (mobile, web, wearables, home or screenless). Fluent in Figma, FigJam, Framer, and design operations tools for collaboration and system management. Familiarity with LLM-assisted design ideation and user testing workflows. Experience integrating data from usage telemetry and user feedback into the design process. Comfortable working in agile, cross-functional environments where hardware and software innovation intersect. Skilled at crafting consistent, context-aware interfaces that adapt across platforms. Preferred Experience in AI-augmented product ecosystems or intelligent assistant design. Background in HCI, cognitive computing, or industrial design. Previous experience in global-scale tech, or high-growth SaaS enterprise or consumer electronics companies. Incentive Compensation In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Job Posting Statement To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius.You will be working as part of a team, developing and delivering exciting projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify andaddress data-related issues and opportunities. Stay updated with the latest trends and developments in the data engineering field,such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
27/07/2026
Full time
About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact. Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors. Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI. We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact. About You: You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role: We are looking for an experienced Senior Data Engineer to join our team here at Solirius.You will be working as part of a team, developing and delivering exciting projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions for our clients/projects Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with the client and cross-functional teams to identify andaddress data-related issues and opportunities. Stay updated with the latest trends and developments in the data engineering field,such as modern data stack, big data technologies, cloud computing, etc Assist with defining the processes needed to achieve operational excellence Ensure data quality across all projects/clients Define and manage SLA's for data sets and processes throughout production Lead on the design, build and launch of new data models and pipelines Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile development environment Data architecture experience. Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Gym Membership Benefits Cycle to Work and Electric Vehicle schemes Flexible Working Annual Away Days/Company Socials Diversity and Inclusion As an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs. Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive. Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us. As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.
SAS seeks a Linguistic Developer to join its NLP R&D team in Glasgow. You will develop advanced text analytics software and AI models across 33 languages, leveraging supervised, unsupervised, deep learning, and symbolic AI techniques. The role sits within Analytics, AI, and ML to deliver innovative software and language models. You'll collaborate with colleagues across support and testing and contribute to secure software development while applying linguistic expertise to real-world data.
27/07/2026
Full time
SAS seeks a Linguistic Developer to join its NLP R&D team in Glasgow. You will develop advanced text analytics software and AI models across 33 languages, leveraging supervised, unsupervised, deep learning, and symbolic AI techniques. The role sits within Analytics, AI, and ML to deliver innovative software and language models. You'll collaborate with colleagues across support and testing and contribute to secure software development while applying linguistic expertise to real-world data.
Positiv+ Cohort is seeking a highly experienced Senior Systems Engineer with security clearance to lead equipment work packages and ensure delivery to time, cost, and quality targets. The role combines electrical engineering with test design and supplier management in a complex environment. This contract role requires leadership across design authorities, risk management, and ongoing liaison with stakeholders.
27/07/2026
Full time
Positiv+ Cohort is seeking a highly experienced Senior Systems Engineer with security clearance to lead equipment work packages and ensure delivery to time, cost, and quality targets. The role combines electrical engineering with test design and supplier management in a complex environment. This contract role requires leadership across design authorities, risk management, and ongoing liaison with stakeholders.
Role: Senior Data EngineerLocation: London, UKContract: 1-year Fixed term ContractWork Mode: 2 days a week in client office, 3 days remoteKey Responsibilities:Architect and Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.RDBMS: Knowledge of PostgreSQL is a plus.Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
27/07/2026
Full time
Role: Senior Data EngineerLocation: London, UKContract: 1-year Fixed term ContractWork Mode: 2 days a week in client office, 3 days remoteKey Responsibilities:Architect and Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical systems.Data Pipelines: Implement, maintain, and test robust data pipelines.Metadata Management: Develop and manage metadata processes and tools.Performance Monitoring: Ensure the stability and performance of data pipelines.Data Quality: Implement tools for data curation, metadata management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.RDBMS: Knowledge of PostgreSQL is a plus.Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. About the role: Everfox is hiring Senior Software Engineer to support our team in London, UK. This role suits a strong senior software engineer who wants to go beyond writing code. You do not need a formal delivery-management background, just solid engineering and an appetite to take on more: design, architecture, coordination, planning and end-to-end delivery. Generalists are welcome. What counts is the quality of your reasoning and problem-solving and how you take on a hard challenge, not the exact languages on your CV. You will split your time between hands-on work on our cross-platform desktop and mobile apps and managing delivery across the end-point software layer of the Everfox Hardsec product line. You will shape and deliver the end-point software that gives users access to our secure browsing and VDI solution, owning its design, development and overall user experience. The work spans Linux and Windows desktop applications and mobile apps on Android and iOS, with a focus on quality, usability and enterprise integration. You will also work closely with our testing lead on release management so that each multi-platform release ships reliably and on time. You will help shape the roadmap, coordinate delivery across our Hardsec solutions, and work with the stakeholders who depend on this software. The work sits on the critical path and is highly visible, directly supporting the commercial priorities of the business, so what you ship lands quickly with the people who use it. If you enjoy owning hard technical problems end to end while keeping a team aligned and delivering, this role is for you. Location This is a hybrid role in London, UK. Key Responsibilities: Engineering • Design, implement and maintain features and components for cross-platform desktop and mobile applications, with a focus on reliable, high-quality and highly usable software. • Write code primarily in modern C++, and work across other languages as the work requires. • Lead the scoping, design and estimating of new software and complex integration tasks, building prototypes to de-risk the harder ones. • Use AI tooling to improve development speed and quality. Delivery and management • Shape and deliver the roadmap for the end-point software, translating company and product priorities into a plan you own and drive. • Plan and coordinate work across a small team of engineers, removing blockers and keeping momentum. • Help coordinate delivery across our Hardsec solutions, keeping cross-team dependencies visible and managed. • Work with Product Managers, QA, Customer Success, Account Management and other Everfox development teams: translating requirements into well-scoped technical work, coordinating delivery, and handling integrations across teams. Test, release and improvement • Own release management for the software, working closely with our testing lead across both manual testing and automated test development. • Lead the end-to-end integration and test of the software as a component, including its integrations with hardware, with end-user workflow applications on the remote side, and with enterprise infrastructure such as identity providers. • Drive improvements in code maintainability, automation and supportability, championing code review, automated testing, stable APIs and the use of AI tooling and agentic workflows. Technical leadership • Provide technical leadership on projects, steering design choices, solving technical issues and guiding others on code quality and testing. • Mentor the engineers in your team, set clear objectives, and support their development towards their longer-term goals. Key Knowledge and Skills: • A degree in Computer Science, Engineering, or a related technical or scientific subject. • Experience developing complex software in modern C++ for systems software and desktop or mobile applications. • Design and architecture experience, and the ability to solve systems-level problems with multiple complex interactions between components, including planning for failure. • A strong grasp of core computer science concepts: concurrency, IPC, networking, security including software exploitation, performance and algorithms. • A genuine appetite to take on delivery responsibility, even without a formal delivery management background. Nice to have • A proven ability to manage delivery: planning, prioritisation, and keeping stakeholders informed. • A track record of coordinating work across more than one team and keeping cross-team dependencies under control. • Java or Kotlin, including Android app and NDK/JNI development, and iOS development in Swift or Objective-C. • An understanding of usability, user experience and application design. • Experience with the Qt framework. • CI/CD experience with tooling such as GitLab, Docker and Kubernetes, and Python for automation and testing. • Familiarity with modern AI development tooling and agentic workflows. • Line-management experience. The role may include line-managing one or more developers depending on team shape, but the core of the job is engineering and delivery. • A passion for technology, shown through project work, professional roles or personal projects, and someone who enjoys technical challenges and delivering results. • Self-motivated, flexible and adaptable, and able to cope when thrown in at the deep end. • Understands the importance of planning, prioritization and getting work done on schedule. • Strong interpersonal and communication skills, and the ability to collaborate with and lead others. • Empathy, and a habit of open communication and effective feedback. • Can own products and features independently, from inception to delivery, while bringing others along rather than delivering solo. A reasonable estimate of the base salary range for this role is: £76 500.00 GBP The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to base salary and either bonus or commission, Everfox offers a generous benefits package including competitive annual leave, pension match, PMI, dental, health cash plan, income protection, in a hybrid work environment. Our Talent Acquisition team will provide specific information regarding salary and benefits offerings. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Applicants must have the right to work in the location to which you have applied.
27/07/2026
Full time
Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. About the role: Everfox is hiring Senior Software Engineer to support our team in London, UK. This role suits a strong senior software engineer who wants to go beyond writing code. You do not need a formal delivery-management background, just solid engineering and an appetite to take on more: design, architecture, coordination, planning and end-to-end delivery. Generalists are welcome. What counts is the quality of your reasoning and problem-solving and how you take on a hard challenge, not the exact languages on your CV. You will split your time between hands-on work on our cross-platform desktop and mobile apps and managing delivery across the end-point software layer of the Everfox Hardsec product line. You will shape and deliver the end-point software that gives users access to our secure browsing and VDI solution, owning its design, development and overall user experience. The work spans Linux and Windows desktop applications and mobile apps on Android and iOS, with a focus on quality, usability and enterprise integration. You will also work closely with our testing lead on release management so that each multi-platform release ships reliably and on time. You will help shape the roadmap, coordinate delivery across our Hardsec solutions, and work with the stakeholders who depend on this software. The work sits on the critical path and is highly visible, directly supporting the commercial priorities of the business, so what you ship lands quickly with the people who use it. If you enjoy owning hard technical problems end to end while keeping a team aligned and delivering, this role is for you. Location This is a hybrid role in London, UK. Key Responsibilities: Engineering • Design, implement and maintain features and components for cross-platform desktop and mobile applications, with a focus on reliable, high-quality and highly usable software. • Write code primarily in modern C++, and work across other languages as the work requires. • Lead the scoping, design and estimating of new software and complex integration tasks, building prototypes to de-risk the harder ones. • Use AI tooling to improve development speed and quality. Delivery and management • Shape and deliver the roadmap for the end-point software, translating company and product priorities into a plan you own and drive. • Plan and coordinate work across a small team of engineers, removing blockers and keeping momentum. • Help coordinate delivery across our Hardsec solutions, keeping cross-team dependencies visible and managed. • Work with Product Managers, QA, Customer Success, Account Management and other Everfox development teams: translating requirements into well-scoped technical work, coordinating delivery, and handling integrations across teams. Test, release and improvement • Own release management for the software, working closely with our testing lead across both manual testing and automated test development. • Lead the end-to-end integration and test of the software as a component, including its integrations with hardware, with end-user workflow applications on the remote side, and with enterprise infrastructure such as identity providers. • Drive improvements in code maintainability, automation and supportability, championing code review, automated testing, stable APIs and the use of AI tooling and agentic workflows. Technical leadership • Provide technical leadership on projects, steering design choices, solving technical issues and guiding others on code quality and testing. • Mentor the engineers in your team, set clear objectives, and support their development towards their longer-term goals. Key Knowledge and Skills: • A degree in Computer Science, Engineering, or a related technical or scientific subject. • Experience developing complex software in modern C++ for systems software and desktop or mobile applications. • Design and architecture experience, and the ability to solve systems-level problems with multiple complex interactions between components, including planning for failure. • A strong grasp of core computer science concepts: concurrency, IPC, networking, security including software exploitation, performance and algorithms. • A genuine appetite to take on delivery responsibility, even without a formal delivery management background. Nice to have • A proven ability to manage delivery: planning, prioritisation, and keeping stakeholders informed. • A track record of coordinating work across more than one team and keeping cross-team dependencies under control. • Java or Kotlin, including Android app and NDK/JNI development, and iOS development in Swift or Objective-C. • An understanding of usability, user experience and application design. • Experience with the Qt framework. • CI/CD experience with tooling such as GitLab, Docker and Kubernetes, and Python for automation and testing. • Familiarity with modern AI development tooling and agentic workflows. • Line-management experience. The role may include line-managing one or more developers depending on team shape, but the core of the job is engineering and delivery. • A passion for technology, shown through project work, professional roles or personal projects, and someone who enjoys technical challenges and delivering results. • Self-motivated, flexible and adaptable, and able to cope when thrown in at the deep end. • Understands the importance of planning, prioritization and getting work done on schedule. • Strong interpersonal and communication skills, and the ability to collaborate with and lead others. • Empathy, and a habit of open communication and effective feedback. • Can own products and features independently, from inception to delivery, while bringing others along rather than delivering solo. A reasonable estimate of the base salary range for this role is: £76 500.00 GBP The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to base salary and either bonus or commission, Everfox offers a generous benefits package including competitive annual leave, pension match, PMI, dental, health cash plan, income protection, in a hybrid work environment. Our Talent Acquisition team will provide specific information regarding salary and benefits offerings. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Applicants must have the right to work in the location to which you have applied.
"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details
27/07/2026
Full time
"At" Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work. Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade - wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively. Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We're looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication. A hands-on building role: taking AI features from idea to shipped, working software quickly, inside real products that real businesses depend on. You design prompts, manage context, integrate models, build evaluations and handle the plumbing and the polish - all of it. Crucially, most of this work happens in established C# .NET codebases, not greenfield projects. Klipboard's products have been earning their keep for years, and the job is landing modern AI capability inside them cleanly, without breaking what already works. Fast matters here, but fast with evidence - every AI feature needs evaluation behind it before customers see it. We would rather you shipped something measured and honest this sprint than something perfect next quarter. Key Responsibilities: Role Accountabilities Build AI features quickly and properly - from prompts and context design through to full LLM integration in established C# .NET codebases. Make them production-grade - error handling, fallbacks, latency management, logging, monitoring and solid evaluation before anything reaches a customer. Stay sharp and share as you go - keeping up with a fast-moving space and spreading knowledge through code, examples and conversation. Key Activities and Contributions Design and build prompts, context strategies and LLM integrations for product features, in domains where a confidently wrong price, part match or stock answer is worse than no answer. Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries, sensible abstractions and respect for the code that is already there. Move fast on real deadlines - prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. Build evaluation alongside the feature, not after it - test against real business cases, measure quality honestly, and let the numbers settle arguments. Handle the unglamorous parts well: error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. Work with the engineers who own each codebase, fitting in with their patterns and pipelines rather than parachuting in something nobody else can maintain. Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency rather than habit. Share what you learn with engineers around you through code, examples and conversation. Work with product managers, product owners and subject matter experts to understand the business problem properly, because the best prompt cannot rescue a misunderstood requirement. Systems, Tools and Technology C# .NET (primary development language) AI coding tools: GitHub Copilot, Cursor or equivalents Prompt engineering and context design patterns Retrieval-augmented generation (RAG), vector search, embeddings (desirable) Evaluation frameworks and automated quality pipelines for AI outputs Technical and Professional Expertise Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Core Responsibilities and Contributions Deliver AI features end-to-end: from requirement understanding through to shipped, evaluated product capability. Maintain production-grade quality: error handling, fallbacks, latency management, logging and monitoring - an AI feature is production software, with extra ways to fail. Care about accuracy, safety and data handling - customers run their businesses on the answers our software gives them. Leave things better documented than you found them, so the next engineer can pick up your work without an archaeology project. Prototype fast, harden properly, and know the difference between a corner that can be cut and one that cannot. Customer Experience Ensure AI features deliver accurate, trustworthy answers - a confidently wrong price, part match or stock answer is worse than no answer at all. Understand the business problem behind each feature, not just the technical solution. Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs. Key Outcomes and Activities AI capability shipped into at least one established product with evaluation behind it within the first six months. Something built has gone from idea to customers in weeks, and held up in production. Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship. Engineers around you have picked up techniques from your work, even though teaching is not your primary job. You can explain the business problem behind each feature you have built, not just the technical solution. Bias to action - would rather build the small version today and learn from it than plan the big version for a month. Honest about quality - measures, shows working, and does not ship something they would not stand behind. Respectful of existing code and the engineers who maintain it - established systems are established for a reason, and working well within them is a skill you are proud of. Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from. Comfortable with change - the tools will look different in six months, and that suits you fine. Additional Responsibilities (as aligned to company job architecture) Leave documentation in better shape than you found it so the next engineer can pick up your work without needing to ask. Contribute to shared knowledge and engineering standards as the team's AI practice matures. Key Relationships (Internal and external) Internal Product managers and product owners (requirement understanding and feature scoping) Engineering teams who own the established codebases you build into Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive) Senior Applied AI Engineer and R&D engineering leadership External LLM platform and tooling providers (as needed) Required Qualifications and Experience Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely. Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials. A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters. Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality. Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. Preferred Qualifications and Experience Retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production settings. Experience with LLM APIs across more than one provider, with a feel for their trade-offs. Exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management. Experience modernising or extending long-lived systems, in .NET or elsewhere. Familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. Klipboard is embracing AI at pace across our products and ways of working. We're looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes . click apply for full job details
ABOUT US LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. ROLE SUMMARY We're looking for a Senior Java Developer to join our team. You'll help develop and improve systems that support FX trading. Your work will play a meaningful role in delivering reliable and efficient trading experiences. You'll focus on making our applications faster, more stable, and easier to scale. You'll work closely with engineers, product partners, and operations in a collaborative environment. You'll also have the opportunity to contribute ideas and help shape how we design and build our systems. WHAT YOU'LL BE DOING Core Application Development Build and enhance backend applications using Java Design solutions that improve system reliability and scalability Contribute to improving performance and overall system stability Take ownership of features from development through to production Collaboration & Support Work with teammates across engineering, product, and operations Contribute to team activities such as planning, code reviews, and mentoring/coaching team members Investigate production issues and work on continuous improvement efforts Process & Quality Assurance Help improve how the team builds and delivers software Write automated tests and support continuous delivery practices Follow secure coding standards and support compliance requirements WHAT YOU'LL BRING Experience developing backend systems in a professional environment Experience working with Java Understanding of system performance and concurrency Familiarity with development tools such as Git and CI/CD pipelines Comfortable working in a Linux environment Nice To Have: Experience in trading or financial systems Familiarity with messaging protocols (e.g. FIX) Personal Sills and Capabilities: You enjoy solving problems and learning new things You communicate clearly and work well with others You take ownership of your work and follow through You are comfortable working both independently and as part of a team Career Stage: Senior London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, 'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. If you want to apply for a job, please click the Apply button. You will then be redirected to our Careers sign-in page where you can enter your existing credentials or set up an account with us. If there is nothing that currently suits you, feel free to send us your Resume/CV LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.
27/07/2026
Full time
ABOUT US LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity. LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG's ticker symbol is LSEG. OUR PEOPLE People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential. We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers. ROLE SUMMARY We're looking for a Senior Java Developer to join our team. You'll help develop and improve systems that support FX trading. Your work will play a meaningful role in delivering reliable and efficient trading experiences. You'll focus on making our applications faster, more stable, and easier to scale. You'll work closely with engineers, product partners, and operations in a collaborative environment. You'll also have the opportunity to contribute ideas and help shape how we design and build our systems. WHAT YOU'LL BE DOING Core Application Development Build and enhance backend applications using Java Design solutions that improve system reliability and scalability Contribute to improving performance and overall system stability Take ownership of features from development through to production Collaboration & Support Work with teammates across engineering, product, and operations Contribute to team activities such as planning, code reviews, and mentoring/coaching team members Investigate production issues and work on continuous improvement efforts Process & Quality Assurance Help improve how the team builds and delivers software Write automated tests and support continuous delivery practices Follow secure coding standards and support compliance requirements WHAT YOU'LL BRING Experience developing backend systems in a professional environment Experience working with Java Understanding of system performance and concurrency Familiarity with development tools such as Git and CI/CD pipelines Comfortable working in a Linux environment Nice To Have: Experience in trading or financial systems Familiarity with messaging protocols (e.g. FIX) Personal Sills and Capabilities: You enjoy solving problems and learning new things You communicate clearly and work well with others You take ownership of your work and follow through You are comfortable working both independently and as part of a team Career Stage: Senior London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, 'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. If you want to apply for a job, please click the Apply button. You will then be redirected to our Careers sign-in page where you can enter your existing credentials or set up an account with us. If there is nothing that currently suits you, feel free to send us your Resume/CV LSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential. Our Data & Analytics, Capital Markets and Post Trade divisions have have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions. Explore our divisions LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific. Find out more Get to know some of our people who are pushing the boundaries of technology, finance and more around the world.
