the world of banking and society. THE ROLE We are seeking a visionary and hands-on Principal Data Scientist to lead the design, development, and deployment of cutting-edge AI/ML solutions across our Banking AI portfolio. This role is central to Temenos AI strategy, delivering responsible, high-impact models that transform how banks operate and serve their customers. … You will work closely with product managers, engineers, and domain experts to build scalable, ethical, and high-performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques, including GenAI and LLMs, for banking … use cases. Define and drive the AI/ML roadmap in alignment with product and business goals. Champion responsible AI practices, ensuring fairness, transparency, and compliance. Model Development & Deployment Design, build, and deploy production-grade AI/ML models for banking, across retail, risk and compliance, payments, wealth. Collaborate with engineering and design to integrate models into scalable, cloud-native More ❯
banking and society. THE ROLE We are seeking a visionary and hands-onPrincipal Data Scientistto lead the design, development, and deployment of cutting-edgeAI/ML solutionsacross our Banking AI portfolio. This role is central to Temenos' AI strategy, delivering responsible, high-impact models that transform how banks operate and serve their customers. You will work closely with product managers … engineers, and domain experts to build scalable, ethical, and high-performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques, including GenAI and LLMs, for banking use cases. Define and drive the AI …/ML roadmap in alignment with product and business goals. Champion responsible AI practices, ensuring fairness, transparency, and compliance. Model Development & Deployment Design, build, and deploy production-grade AI/ML models for banking, across retail, risk and compliance, payments, wealth. Collaborate with engineering and design to integrate models into scalable, cloud-native and on-prem systems. Establish best practices More ❯
As a DevOps Engineer at Gpeto Planning AI, you will be instrumental in managing and enhancing our infrastructure to ensure smooth deployment, scalability, and reliability of our AI-driven applications. You will work closely with our development and operations teams to streamline our CI/CD processes, automate workflows, and optimize our cloud environments. Key Responsibilities Infrastructure Management: Design, implement … systems to ensure high availability and performance of our applications. Security: Ensure robust security practices and compliance throughout our infrastructure and deployment processes. Collaboration: Work closely with software engineers, AI/ML engineers, and other stakeholders to support development and operations needs. Automation: Automate repetitive tasks and improve overall efficiency through the use of scripting and configuration management tools (Ansible More ❯
managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯
managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years … Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI) Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm … and work well with product teams If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you. More ❯
Kore.ai is a globally recognized leader in the conversational and generative AI space helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Kore.ai's goal is to empower businesses with effective, simple and responsible AI solutions that create engaging interactions. sectors serving over 100M of consumers and 500,000+ employees worldwide. With billions of interactions automated … using our AI-powered technology, we have been able to save over $500M for these companies. Kore.ai is one of the fastest growing AI companies globally. We are recognized as a leader by the leading technology and industry analysts like Gartner, Forrester, IDC, ISG, Everest, and others. Founded in 2014 by serial successful entrepreneur, Raj Koneru, Kore.ai supports customers globally … across offices in Orlando, Hyderabad, New York, London, Germany, Dubai Frankfurt, Tokyo and Seoul. We're reshaping the way companies harness the power of AI, simplifying and enhancing accessibility. Work alongside some of the brightest minds in the industry to pioneer safe, reliable solutions. Join the Kore.ai team and help companies of all sizes simplify the adoption of advanced AIMore ❯
sophisticated machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and developing the supporting infrastructure that keeps our AI-driven products robust and scalable. Job Responsibilities: Build, automate, and maintain ML pipelines for deploying advanced models, including large language models (LLMs), at scale. Collaborate with data engineers, scientists and … product owners to operationalize workflows for reliable, seamless model deployment and monitoring. Implement monitoring, logging, and alerting for AI services, ensuring performance, security, and compliance in production environments. Write clean, maintainable, and efficient Python code for ML tooling, orchestration, and infrastructure. Develop and maintain infrastructure as code (IaC) using tools such as Terraform or CloudFormation. Work with containerization and orchestration … technologies (e.g., Docker, Kubernetes) to support scalable and repeatable deployments of AI services. Apply robust software engineering best practicesversion control, CI/CD, code reviews, testing, and automationto all aspects of the ML lifecycle. Troubleshoot and optimize ML workflows, from initial development through deployment and production support. Engage in cross-functional squads, participating in technical discussions, design reviews, and continuous More ❯
Application Deadline: 5 September 2025 Department: Technology Employment Type: Full Time Location: Belfast Reporting To: Bronagh Description Imagine catching criminals before they strike-that's exactly what Napier's AI-powered platform does! By analysing transactions and customers in real time, Napier AI's technology empowers financial institutions to spot suspicious activity, like money laundering, and stops it in its … tracks. Napier AI's technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people's money from becoming criminal proceeds. It's not just about stopping crime-it's about making the financial world safer and more trustworthy for everyone. After successfully securing another investment round, we are looking to fuel our ongoing … growth and further invest in our AI products. We are currently building out our Tech Hub in Belfast-this is a super exciting time to join Napier in Belfast as we expand. About the role The QA Engineer plays a key role within the Napier Engineering group. You will be responsible for building, maintaining, and executing quality-assured automation scripts More ❯
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the … optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud. What You'll Do Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. Data Science: Conduct ML experiments using programming languages with machine learning libraries. … GenAI: Leverage generative AI to develop innovative solutions. Optimisation: Optimise machine learning solutions for performance and scalability. Custom Code: Implement tailored machine learning code to meet specific needs. Data Engineering: Ensure efficient data flow between databases and backend systems. MLOps : Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. ML Architecture Design: Create machine learning architectures using More ❯
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and … and respectfully, embracing adaptability and resilience in all we do. About the role We are looking for a Technical Product Manager to lead the development of Nscale’s generative AI cloud platform offerings. In this role, you will drive product delivery for features that enable our customers to train, fine-tune, and deploy AI models at scale. This is a … highly technical and cross-functional position. You’ll work closely with design, cloud, product engineering, and AI teams to build tools for AI model training pipelines, fine-tuning workflows, and scalable inference services. A strong focus on delivery and release management is critical: you will coordinate projects across multiple teams to ensure on-time releases and smooth product launches. Additionally More ❯
About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and … and respectfully, embracing adaptability and resilience in all we do. About the role We are looking for a Technical Product Manager to lead the development of Nscale’s generative AI cloud platform offerings. In this role, you will drive product delivery for features that enable our customers to train, fine-tune, and deploy AI models at scale. This is a … highly technical and cross-functional position. You’ll work closely with design, cloud, product engineering, and AI teams to build tools for AI model training pipelines, fine-tuning workflows, and scalable inference services. A strong focus on delivery and release management is critical: you will coordinate projects across multiple teams to ensure on-time releases and smooth product launches. Additionally More ❯
s specialist Transformation capability within the Tax Technology and Transformation Consulting team as a Data Science Manager. In this role, you will lead a team of data scientists and AI engineers to develop and implement machine learning and generative AI solutions that enhance tax compliance and strategy. Your hands-on experience will be crucial in guiding your team to explore … measurable ROI. Embrace this opportunity to drive innovation in tax technology! Key Responsibilities: Lead and mentor a team of data scientists in the design, development, and implementation of generative AI solutions to solve complex business problems. Collaborate with cross-functional teams and clients to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production … promote best practices in code development and collaboration. To Qualify for the Role, You Must Have: As a Data Science manager, you should have strong commercial development experience in AI/ML, with a proven track record as a hands-on data scientist, delivering projects end to end, and experience in leading teams. Strong understanding of AI/ML algorithms More ❯
and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of … our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. … We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to More ❯
and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of … our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. … We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to More ❯
Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and … brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing … of which push the boundaries of what we can do with data; finding and using novel data sources and APIs, and enriching them with leading analytics, data science and AI methods. Your role will be twofold. You'll be working directly with our London-based client-base, as well as helping to shape the future of our fast-growing start More ❯
About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive … toward a sustainable future. Job Summary: The Cloud Fleet Engineering team at Hayden AI is at the forefront of managing and scaling our fleet of AI-powered edge devices deployed across global transportation agencies. As a senior engineer, you will play a critical role in designing, building, and scaling cloud services that enable remote device management, over-the-air updates More ❯
Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces. Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap … data-driven growth. Drive strategic product decisions by translating user behavior data into actionable insights, helping shape our product roadmap and growth initiatives in this exciting new space of AI video creation. Collaborate closely with product managers, engineers, and business stakeholders to uncover user needs and translate them into product opportunities. Establish the foundation for our experimentation program - from measurement … and implementing PLG metrics frameworks, from user acquisition through expansion. Excellent problem-solving skills, with the ability to analyze complex data and derive actionable insights in the ever-evolving AI landscape. Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams. Advanced SQL skills and experience with More ❯
unique insights. Be part of a stimulating and collaborative environment where your ideas can make an impact and ignite transformative change worldwide. InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like … Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading … the industry. Join us to be a part of the AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning More ❯
Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on experience with cloud platforms such as AWS or Azure. We're not able to offer visa sponsorship or help with relocation support … By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And if we combine the expertise of our people with the latest AI technology, we can really help brands discover some amazing insights. And because we know people, we like to make sure our own people are being looked after as well. Equality … Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on experience with cloud platforms such as AWS or Azure. We're not able to offer visa sponsorship or help with relocation support More ❯
looking for a well-established Data Scientist at all levels who wants new challenges. As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data science capabilities. To be successful in … stakeholders, data engineers, marketing analysts and BI analysts to improve our existing models, create new models, and bring our expertise. Core Responsibilities Apply advanced statistical techniques and ML/AI models to development and production environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions Qualifications Postgraduate degree in a relevant … Skilful in writing well-engineered code Proven experience working with ML engineers and production systems (including Cloud platforms) Proven ability to analyse large sets and experience-built ML/AI models in production with the ability to translate them into insights and actionable business recommendations Great technical and commercial communication and collaboration skills with some presentation skills Passion for learning More ❯
technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision … Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. Champion best practices in experimentation, causal inference, and uplift modeling, ensuring … Advanced programming background with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Masters degree or equivalent More ❯
product thinking with business consulting, service design and technical fluency. You'll lead discovery through hands-on workshops, shape delivery plans, and stay close to the tech, especially in AI-enabled, data-rich environments, while keeping sight of product outcomes, ROI, commercial models and how value is measured. While you won't need to code, you should be comfortable in … technical discussions around data models, APIs, AI integration, and cloud architecture (especially Azure). You'll help craft high-level solution designs, write clear technical user stories, and work closely with engineers, data scientists, and designers to bring products to life. This role also plays a key part in pre-sales and early-stage planning, facilitating scoping sessions, engaging senior … especially for data- or API-heavy products). Work closely with engineers, data scientists, and designers to deliver high-impact solutions, aligning feasibility with user value. Support GenAI- or AI-driven product development, including helping shape early MVPs or PoCs. Use service design methods to map experiences, identify opportunity areas, and align teams and stakeholders around user needs and business More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Tekaris GmbH
product thinking with business consulting, service design and technical fluency. You'll lead discovery through hands-on workshops, shape delivery plans, and stay close to the tech, especially in AI-enabled, data-rich environments, while keeping sight of product outcomes, ROI, commercial models and how value is measured. While you won't need to code, you should be comfortable in … technical discussions around data models, APIs, AI integration, and cloud architecture (especially Azure). You'll help craft high-level solution designs, write clear technical user stories, and work closely with engineers, data scientists, and designers to bring products to life. This role also plays a key part in pre-sales and early-stage planning, facilitating scoping sessions, engaging senior … especially for data- or API-heavy products). Work closely with engineers, data scientists, and designers to deliver high-impact solutions, aligning feasibility with user value. Support GenAI- or AI-driven product development, including helping shape early MVPs or PoCs. Use service design methods to map experiences, identify opportunity areas, and align teams and stakeholders around user needs and business More ❯
our dynamic team in Manchester. This role offers the chance to influence the way we craft, build, test, and deploy using brand new technology. We're committed to leveraging AI and Automation to deliver significant value to both customers and the business. In 2024, we were in the process of delivering two of the Bank's pioneering AI products: transforming … the Complaints journey and developing a group-wide Knowledge Management solution. This has recently been recognised across the industry as we won the AI Project of the Year award at the UK IT Industry Awards 2024. In 2025, we're expanding our use of this technology, and need someone to help oversee Software Engineering across the Lab. This presents an … implement seamless solutions, ensuring smooth deployment processes. Agile Methodologies: Champion agile development practices, including continuous integration and test automation (TDD, BDD, Playwright). What you'll need Understanding of AI systems. Java with SpringBoot or python. Kubernetes and container management. Building RESTful services and Web UI. Exposure to continuous integration/continuous deployment pipelines and test automation. Exposure to public More ❯
England, United Kingdom Join Axon and be a Force for Good. Your Impact What You'll Do Design and build scalable, fault-tolerant backend services that support real-time AI experiences across Axon devices, mobile apps, and web interfaces. Collaborate with Applied AI teams to integrate large language models and related services into production systems - with a focus on latency … service development in Node.js , Python , Go , or similar languages. Experience designing and operating cloud-native systems (AWS, Azure, or GCP) with a focus on scalability and resilience. Familiarity with AI/ML systems , or demonstrable ability to quickly ramp up in highly technical, ambiguous domains. Strong knowledge of REST APIs , distributed system design, and performance optimization. Experience with both SQL More ❯
