(Senior) Machine Learning Engineer, Chat Office: United Kingdom Remote: UK About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2 year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role (Senior) Machine Learning Engineers at Cleo work on building novel solutions to real world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we're looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world's financial health. You'll be leading technical work within a team of adaptable, creative and product focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. Check out this blog on Isabelle's journey in ML at Cleo. What you'll be doing Training and fine tuning models to solve customer problems across our chatbot and the bank transaction data behind it. Deploying these models into our production environments using our in house ML platform, which you can read about on our blog: Let's have an Espresso: MLOps at Cleo. Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. Working cross functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state of the art techniques and communicating the team's successes and learnings at the company level & beyond. Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Building AI Agents to explore and derive insights from users transactional data Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is? Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations Built ML models to understand the risk of customers using bank transaction features and user activity Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two sided optimisation problem. Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health. What You'll Need Excellent knowledge of both Data Science (Python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big picture thinking to correctly diagnose problems and productionising research Top tier communication skills, to be able to partner with Product and Commercial Leaders Industry leading contributions to your field, communicated through conferences, blogs, talks, or open source projects Advanced Degree in a quantitative discipline or equivalent commercial experience Nice to have Strong experience with additional programming languages, such as Java, Scala, C++ Industry leading contributions to your field, communicated through conferences, blogs, talks, or open source projects What do you get for all your hard work? A competitive compensation package (base + equity) with 3 annual reviews, aligned to our termly OKR planning cycles. Mid level: London, UK Hybrid: £74,266 - £91,000 gross annually UK Remote: £69,699 - £85,000 gross annually Senior level: London, UK Hybrid: £94,059 - £115,000 gross annually UK Remote: £88,938 - £109,000 gross annually Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups awarded across all levels in performance reviews 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 1 month paid sabbatical after 4 years at Cleo 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Online mental health support via Spill Enhanced parental leave Workplace Nursery Scheme Paid for access to multiple AI platforms (ChatGPT, Codex, Claude) Access to the latest AI coding models Pick your kit - choose between a Windows or an Apple computer Regular socials and activities, online and in person And many more! Final compensation will be determined based on the candidate's seniority, qualifications, skills, and previous experience We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. Apply for this role
30/06/2026
Full time
(Senior) Machine Learning Engineer, Chat Office: United Kingdom Remote: UK About the company About Cleo At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast growing unicorn with over $300 million in ARR and growing over 2 year over year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team. About the role (Senior) Machine Learning Engineers at Cleo work on building novel solutions to real world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we're looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world's financial health. You'll be leading technical work within a team of adaptable, creative and product focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. Check out this blog on Isabelle's journey in ML at Cleo. What you'll be doing Training and fine tuning models to solve customer problems across our chatbot and the bank transaction data behind it. Deploying these models into our production environments using our in house ML platform, which you can read about on our blog: Let's have an Espresso: MLOps at Cleo. Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. Working cross functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users' financial health. Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads. Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state of the art techniques and communicating the team's successes and learnings at the company level & beyond. Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Building AI Agents to explore and derive insights from users transactional data Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is? Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations Built ML models to understand the risk of customers using bank transaction features and user activity Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two sided optimisation problem. Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health. What You'll Need Excellent knowledge of both Data Science (Python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big picture thinking to correctly diagnose problems and productionising research Top tier communication skills, to be able to partner with Product and Commercial Leaders Industry leading contributions to your field, communicated through conferences, blogs, talks, or open source projects Advanced Degree in a quantitative discipline or equivalent commercial experience Nice to have Strong experience with additional programming languages, such as Java, Scala, C++ Industry leading contributions to your field, communicated through conferences, blogs, talks, or open source projects What do you get for all your hard work? A competitive compensation package (base + equity) with 3 annual reviews, aligned to our termly OKR planning cycles. Mid level: London, UK Hybrid: £74,266 - £91,000 gross annually UK Remote: £69,699 - £85,000 gross annually Senior level: London, UK Hybrid: £94,059 - £115,000 gross annually UK Remote: £88,938 - £109,000 gross annually Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Company wide performance reviews every 4 months Generous pay increases for high performing team members Equity top ups awarded across all levels in performance reviews 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 1 month paid sabbatical after 4 years at Cleo 6% employer matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Online mental health support via Spill Enhanced parental leave Workplace Nursery Scheme Paid for access to multiple AI platforms (ChatGPT, Codex, Claude) Access to the latest AI coding models Pick your kit - choose between a Windows or an Apple computer Regular socials and activities, online and in person And many more! Final compensation will be determined based on the candidate's seniority, qualifications, skills, and previous experience We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio economic backgrounds. Apply for this role
Overview WELCOME TO SITA We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry. You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting edge tech to make their operations run like clockwork. Want to be a part of something big? Are you ready to love your job? The adventure begins right here, with you, at SITA. About the Role & Team As Principal Architect, AI, Products and Enterprise Solutions, you will be accountable for defining and leading SITA's enterprise architecture direction across AI, data, product, solution, and customer architecture, including leadership of the solution and customer architect teams across the organisation. The role provides enterprise wide technical and people leadership, ensuring that AI, data, product, solution, and customer architectures are applied in a consistent and effective manner to support business value, innovation, and competitive advantage, while coaching, mentoring, and developing senior architects across SITA. In addition to architecture leadership, the role is responsible for ensuring that AI and product solution architectures are embedded within core products, platforms, and decision making processes, and for building a high performing architecture function through effective people leadership, talent development, succession planning, and a culture of accountability, collaboration, and continuous improvement. This role operates at enterprise scope, with responsibility for cross portfolio AI and product architecture direction, the establishment of enterprise standards, and the development of architecture capability and leadership at scale. What You Will Do Enterprise AI & Architecture Strategy Ownership Define and maintain enterprise architecture strategy, with a strong emphasis on AI, data platforms, and intelligent systems. Establish an AI enabled and product aware architecture vision and multi year roadmap aligned to business and digital strategy. Drive adoption of machine learning, advanced analytics, automation, and AI enabled product architectures across products and internal platforms. Translate emerging AI trends into scalable and productised enterprise capabilities. Product Solution Architecture Leadership Lead the definition of end to end product solution architecture across key enterprise products and platforms. Own the architectural integrity of product solutions, ensuring alignment with enterprise architecture, AI strategy, and business outcomes. Define architecture patterns and reference models for AI enabled products, ensuring consistency, scalability, and reuse. Partner with Product, Engineering, and Data teams to shape solution design from concept through delivery. Ensure product architectures are resilient, secure, and designed for global scale and operational excellence. Set direction for product solution architecture across portfolios, rather than contributing to individual solution designs. AI Governance, Standards & Responsible AI Define and enforce architecture and AI governance frameworks, including standards, guardrails, and design principles. Contribute to the development and implementation of responsible AI practices, including ethics, explainability, bias mitigation, and compliance, in line with regulatory expectations. Ensure AI solutions are secure, compliant, and aligned with enterprise risk frameworks. Provide oversight on critical AI and data architecture decisions across portfolios. Data, AI Platforms & Technical Leadership Define and evolve enterprise data architecture and AI platform strategy (data pipelines, MLOps, model lifecycle management). Drive adoption of cloud native, scalable AI architectures and modern data ecosystems. Lead the integration and architectural design of AI capabilities within core products, digital platforms, and customer journeys. Champion technical excellence, reusability, and platform thinking across the organisation. Executive Influence & Business Integration Act as a trusted advisor to executive leadership on AI strategy, risks, and opportunities. Influence corporate strategy through AI driven insights and product innovation opportunities. Translate business problems into AI enabled and product oriented architecture solutions. Provide architectural leadership on product strategy, ensuring solution design decisions align with enterprise architecture and AI driven innovation. Represent architecture and AI in executive and governance forums. Leadership, People Management and Capability Building Lead and develop SITA's architecture community, including architects, data and AI specialists, and the broader architecture capability. Provide leadership to the solution and customer architect teams across SITA, ensuring consistent standards, clear accountability, and strong alignment to enterprise, product, and customer outcomes. Provide effective people management for senior architects and architecture leaders, including objective setting, performance management, regular feedback, coaching, and mentoring. Lead workforce and talent planning for the architecture function, including recruitment, onboarding, succession planning, retention, and the development of future architecture leaders. Foster a high performing and inclusive team environment that encourages collaboration, continuous learning, knowledge sharing, and clear career development pathways for architects across SITA. Delegate appropriately, empower senior architects to lead within their areas of responsibility, and ensure clear governance, decision rights, and accountability across the architecture community. Build and scale AI, data, product, solution, and customer architecture capabilities across the organisation. Define architecture operating model, frameworks, and best practices in line with enterprise needs. Drive talent development, upskilling, and adoption of AI and product architecture practices across teams. Qualifications Experience: Enterprise architecture and governance. AI / ML architectures and data ecosystems. Data architecture, data management, and analytics. Cloud platforms and distributed systems. Solution, product, and customer architecture leadership at enterprise scale. What We Offer We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever. Flex Week: Work from home up to 2 days/week (depending on your team's needs). Flex Day: Make your workday suit your life and plans. Flex Location: Take up to 30 days a year to work from any location in the world. Employee Wellbeing: We've got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalised platform that supports a range of wellbeing needs. Professional Development: Level up your skills with our training platforms, including LinkedIn Learning. Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self identify in the application process.
30/06/2026
Full time
Overview WELCOME TO SITA We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry. You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting edge tech to make their operations run like clockwork. Want to be a part of something big? Are you ready to love your job? The adventure begins right here, with you, at SITA. About the Role & Team As Principal Architect, AI, Products and Enterprise Solutions, you will be accountable for defining and leading SITA's enterprise architecture direction across AI, data, product, solution, and customer architecture, including leadership of the solution and customer architect teams across the organisation. The role provides enterprise wide technical and people leadership, ensuring that AI, data, product, solution, and customer architectures are applied in a consistent and effective manner to support business value, innovation, and competitive advantage, while coaching, mentoring, and developing senior architects across SITA. In addition to architecture leadership, the role is responsible for ensuring that AI and product solution architectures are embedded within core products, platforms, and decision making processes, and for building a high performing architecture function through effective people leadership, talent development, succession planning, and a culture of accountability, collaboration, and continuous improvement. This role operates at enterprise scope, with responsibility for cross portfolio AI and product architecture direction, the establishment of enterprise standards, and the development of architecture capability and leadership at scale. What You Will Do Enterprise AI & Architecture Strategy Ownership Define and maintain enterprise architecture strategy, with a strong emphasis on AI, data platforms, and intelligent systems. Establish an AI enabled and product aware architecture vision and multi year roadmap aligned to business and digital strategy. Drive adoption of machine learning, advanced analytics, automation, and AI enabled product architectures across products and internal platforms. Translate emerging AI trends into scalable and productised enterprise capabilities. Product Solution Architecture Leadership Lead the definition of end to end product solution architecture across key enterprise products and platforms. Own the architectural integrity of product solutions, ensuring alignment with enterprise architecture, AI strategy, and business outcomes. Define architecture patterns and reference models for AI enabled products, ensuring consistency, scalability, and reuse. Partner with Product, Engineering, and Data teams to shape solution design from concept through delivery. Ensure product architectures are resilient, secure, and designed for global scale and operational excellence. Set direction for product solution architecture across portfolios, rather than contributing to individual solution designs. AI Governance, Standards & Responsible AI Define and enforce architecture and AI governance frameworks, including standards, guardrails, and design principles. Contribute to the development and implementation of responsible AI practices, including ethics, explainability, bias mitigation, and compliance, in line with regulatory expectations. Ensure AI solutions are secure, compliant, and aligned with enterprise risk frameworks. Provide oversight on critical AI and data architecture decisions across portfolios. Data, AI Platforms & Technical Leadership Define and evolve enterprise data architecture and AI platform strategy (data pipelines, MLOps, model lifecycle management). Drive adoption of cloud native, scalable AI architectures and modern data ecosystems. Lead the integration and architectural design of AI capabilities within core products, digital platforms, and customer journeys. Champion technical excellence, reusability, and platform thinking across the organisation. Executive Influence & Business Integration Act as a trusted advisor to executive leadership on AI strategy, risks, and opportunities. Influence corporate strategy through AI driven insights and product innovation opportunities. Translate business problems into AI enabled and product oriented architecture solutions. Provide architectural leadership on product strategy, ensuring solution design decisions align with enterprise architecture and AI driven innovation. Represent architecture and AI in executive and governance forums. Leadership, People Management and Capability Building Lead and develop SITA's architecture community, including architects, data and AI specialists, and the broader architecture capability. Provide leadership to the solution and customer architect teams across SITA, ensuring consistent standards, clear accountability, and strong alignment to enterprise, product, and customer outcomes. Provide effective people management for senior architects and architecture leaders, including objective setting, performance management, regular feedback, coaching, and mentoring. Lead workforce and talent planning for the architecture function, including recruitment, onboarding, succession planning, retention, and the development of future architecture leaders. Foster a high performing and inclusive team environment that encourages collaboration, continuous learning, knowledge sharing, and clear career development pathways for architects across SITA. Delegate appropriately, empower senior architects to lead within their areas of responsibility, and ensure clear governance, decision rights, and accountability across the architecture community. Build and scale AI, data, product, solution, and customer architecture capabilities across the organisation. Define architecture operating model, frameworks, and best practices in line with enterprise needs. Drive talent development, upskilling, and adoption of AI and product architecture practices across teams. Qualifications Experience: Enterprise architecture and governance. AI / ML architectures and data ecosystems. Data architecture, data management, and analytics. Cloud platforms and distributed systems. Solution, product, and customer architecture leadership at enterprise scale. What We Offer We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever. Flex Week: Work from home up to 2 days/week (depending on your team's needs). Flex Day: Make your workday suit your life and plans. Flex Location: Take up to 30 days a year to work from any location in the world. Employee Wellbeing: We've got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalised platform that supports a range of wellbeing needs. Professional Development: Level up your skills with our training platforms, including LinkedIn Learning. Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self identify in the application process.
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
30/06/2026
Full time
AI Solution Architect Senior ManagerApplylocations: United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR111476 Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day. The Senior Manager, AI Solution Architecture leads a team of AI Architects responsible for designing, governing, and enabling innovative AI-powered customer experience solutions across the Genesys ecosystem. This role combines deep expertise in artificial intelligence, conversational AI, customer experience technologies, cloud architecture, and people leadership to drive the successful adoption of AI solutions that deliver measurable business outcomes.The ideal candidate is a strategic technology leader who can bridge business objectives, AI innovation, and technical execution while developing a high-performing team of architects. This role partners closely with Sales, Product Management, Engineering, Professional Services, Customer Success, and executive stakeholders to accelerate AI transformation initiatives for customers and the organization. Key Responsibilities Leadership & Team Development Lead, mentor, and develop a team of AI Solution Architects, fostering a culture of innovation, collaboration, and technical excellence. Establish performance goals, development plans, and career progression paths for team members. Drive the adoption of AI architecture standards, best practices, and governance frameworks. Support hiring, onboarding, and retention of top AI and cloud architecture talent. Promote continuous learning in emerging AI technologies, large language models (LLMs), generative AI, agentic AI, machine learning, and automation.AI Architecture Strategy Define and execute the AI architecture vision aligned with Genesys' AI strategy and customer experience transformation goals. Oversee the design and validation of complex AI solutions leveraging Genesys Cloud AI capabilities, conversational AI platforms, generative AI technologies, and third-party AI ecosystems. Establish architectural standards for AI solution scalability, security, observability, reliability, compliance, and responsible AI practices. Lead architectural reviews and provide guidance on AI deployment models, integration patterns, data architecture, and operationalization strategies. Serve as the escalation point for complex AI solution challenges and architectural decisions.Customer & Business Engagement Act as a trusted advisor to customers and executive stakeholders on AI transformation initiatives. Lead strategic AI discovery sessions, architecture workshops, executive briefings, and innovation engagements. Translate business objectives into AI-driven customer experience solutions that deliver measurable value. Support strategic sales opportunities through AI vision, solution design, technical leadership, and executive engagement. Help customers define AI adoption roadmaps, governance models, and business value frameworks.Cross-Functional Collaboration Partner with Product Management, Engineering, Data Science, Professional Services, Customer Success, and Sales organizations. Influence AI product direction by providing feedback from customer engagements and market trends. Collaborate with internal stakeholders to define reusable AI frameworks, accelerators, and reference architectures. Support go-to-market initiatives and thought leadership around AI-driven customer experience innovation.Operational Excellence Define and monitor KPIs related to AI architecture effectiveness, adoption, customer outcomes, and team performance. Ensure consistency and quality across AI solution designs and customer engagements. Drive operational processes for AI governance, risk management, model lifecycle management, and architecture reviews. Promote responsible AI practices, including transparency, security, privacy, compliance, and ethical AI principles. Required Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field. 10+ years of experience in enterprise architecture, solution architecture, AI, cloud technologies, or customer experience platforms. 5+ years of leadership experience managing architects, engineers, or technical consulting teams. Strong understanding of AI and machine learning concepts, including: Generative AI Large Language Models (LLMs) Conversational AI Agentic AI Systems Retrieval-Augmented Generation (RAG) Prompt Engineering AI Governance and Responsible AI Experience designing enterprise-scale AI solutions and cloud-native architectures. Knowledge of Genesys Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives. Strong executive communication, stakeholder management, and presentation skills. Preferred Qualifications Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems. Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. Experience with data architecture, analytics, and enterprise integration patterns. Cloud certifications (AWS, Azure, GCP) and AI-related certifications. Experience leading AI transformation initiatives in large enterprise environments. Leadership Competencies AI Innovation Leadership: Drives adoption of emerging AI technologies and identifies opportunities to create business value. Strategic Thinking: Aligns AI initiatives with business strategy, customer outcomes, and organizational objectives. Customer-Centric Mindset: Focuses on delivering measurable improvements in customer and employee experiences through AI. Technical Excellence: Demonstrates deep expertise in AI architectures, cloud platforms, and enterprise solution design. Talent Development: Builds and develops high-performing AI architecture teams. Influence & Collaboration: Effectively partners across technical, business, and executive stakeholders. Responsible AI Stewardship: Champions ethical, secure, transparent, and compliant AI solutions. Success Metrics AI revenue influence and strategic opportunity support. Customer adoption of AI solutions and measurable business outcomes. Quality, scalability, and governance of AI architectures. Team engagement, capability growth, and retention. Reusable AI assets, reference architectures, and best practices created. Executive stakeholder satisfaction and trusted advisor status. Contribution to Genesys' AI leadership and innovation objectives. Strategic Mission Lead the evolution of AI-powered customer experience architecture by enabling organizations to leverage conversational AI, generative AI, agentic automation, and intelligent orchestration to transform how customers and employees interact with brands, while ensuring scalability, governance, and business value at enterprise scale. Working at Genesys AI at enterprise scale - Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support. Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview. Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps.Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.Get notified about relevant opportunities. # Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys CloudTM is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces . click apply for full job details
Job Type: Permanent Build a brilliant future with Hiscox Principal Machine Learning Engineer Location: London/York Why Hiscox London Market Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities. We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation. You'll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance. Role Purpose As a Principal Machine Learning Engineer (MLE), you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps. You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems. A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI assisted development tools as part of a broader approach to improving developer experience, system quality, and long term sustainability. Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value. Key Responsibilities Technical Leadership & Ownership (Individual Contributor) Act as the technical lead for Machine Learning Engineering and MLOps across London Market. Technically lead the most complex and business critical ML systems, from architectural design through to production operation. Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning. Lead deep technical decision making, balancing scalability, reliability, security, and developer experience. Contribute hands on to critical systems, frameworks, and platform components where the complexity or impact demands it. Define best practices and guardrails for the use of AI assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety. Lead by example in applying AI assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement. ML Platform Strategy & Build Out Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports: Reusable and scalable deployment patterns CI/CD for machine learning Full model lifecycle management Monitoring, observability, and alerting Secure and compliant operation Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams Lead technical spikes and proof of concepts to evaluate new tools, approaches, and architectural patterns. Influence developer tooling choices so that AI assisted coding tools integrate safely with CI/CD, testing, and governance workflows. Ensure the platform enables fast, safe experimentation while supporting robust, long lived production systems. Governance, Reliability & Commercial Impact Ensure ML systems meet architecture, security, compliance, and operational standards. Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production. Champion operational excellence across ML services, including monitoring, alerting, incident management, and post incident learning. Ensure clear ownership and lifecycle management for models and ML backed services. Promote responsible use of automation and AI assisted tooling in safety critical or regulated contexts. Collaboration & Influence Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production. Collaborate with software engineers, product managers, and business stakeholders to deliver end to end ML driven solutions. Act as a senior technical voice in design reviews, architecture forums, and strategic discussions. Influence technical direction and standards through expertise, credibility, and collaboration rather than line management. Technical Mentorship & Capability Development Provide hands on technical mentorship to Machine Learning Engineers and Data Scientists. Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems. Coach teams on the effective and critical use of AI assisted coding tools, reinforcing the importance of code review discipline, testing, and long term maintainability. Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective. Help shape long term capability by identifying gaps in tooling, skills, and platform maturity. What You'll Bring Experience & Background Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience). Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale. Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure. Experience operating in complex, cross functional environments (insurance or financial services experience is advantageous but not essential). Technical Expertise Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns). Deep experience building, deploying, and operating production ML systems, including: online and batch model serving, monitoring, alerting, and observability, retraining and lifecycle management. Strong understanding of core data science concepts, sufficient to: review and challenge modelling approaches, ensure models are production ready and correctly evaluated. Hands on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments. Expert knowledge of MLOps and CI/CD, including: Git based workflows, Infrastructure as Code (e.g. Terraform), automated testing and deployment pipelines. Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response. Working knowledge of SQL and integration of ML services into wider data and application ecosystems. Experience using AI assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks. Why Join Us This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high performing sub chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward thinking environment.
30/06/2026
Full time
Job Type: Permanent Build a brilliant future with Hiscox Principal Machine Learning Engineer Location: London/York Why Hiscox London Market Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities. We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation. You'll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance. Role Purpose As a Principal Machine Learning Engineer (MLE), you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps. You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems. A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI assisted development tools as part of a broader approach to improving developer experience, system quality, and long term sustainability. Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value. Key Responsibilities Technical Leadership & Ownership (Individual Contributor) Act as the technical lead for Machine Learning Engineering and MLOps across London Market. Technically lead the most complex and business critical ML systems, from architectural design through to production operation. Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning. Lead deep technical decision making, balancing scalability, reliability, security, and developer experience. Contribute hands on to critical systems, frameworks, and platform components where the complexity or impact demands it. Define best practices and guardrails for the use of AI assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety. Lead by example in applying AI assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement. ML Platform Strategy & Build Out Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports: Reusable and scalable deployment patterns CI/CD for machine learning Full model lifecycle management Monitoring, observability, and alerting Secure and compliant operation Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams Lead technical spikes and proof of concepts to evaluate new tools, approaches, and architectural patterns. Influence developer tooling choices so that AI assisted coding tools integrate safely with CI/CD, testing, and governance workflows. Ensure the platform enables fast, safe experimentation while supporting robust, long lived production systems. Governance, Reliability & Commercial Impact Ensure ML systems meet architecture, security, compliance, and operational standards. Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production. Champion operational excellence across ML services, including monitoring, alerting, incident management, and post incident learning. Ensure clear ownership and lifecycle management for models and ML backed services. Promote responsible use of automation and AI assisted tooling in safety critical or regulated contexts. Collaboration & Influence Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production. Collaborate with software engineers, product managers, and business stakeholders to deliver end to end ML driven solutions. Act as a senior technical voice in design reviews, architecture forums, and strategic discussions. Influence technical direction and standards through expertise, credibility, and collaboration rather than line management. Technical Mentorship & Capability Development Provide hands on technical mentorship to Machine Learning Engineers and Data Scientists. Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems. Coach teams on the effective and critical use of AI assisted coding tools, reinforcing the importance of code review discipline, testing, and long term maintainability. Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective. Help shape long term capability by identifying gaps in tooling, skills, and platform maturity. What You'll Bring Experience & Background Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience). Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale. Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure. Experience operating in complex, cross functional environments (insurance or financial services experience is advantageous but not essential). Technical Expertise Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns). Deep experience building, deploying, and operating production ML systems, including: online and batch model serving, monitoring, alerting, and observability, retraining and lifecycle management. Strong understanding of core data science concepts, sufficient to: review and challenge modelling approaches, ensure models are production ready and correctly evaluated. Hands on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments. Expert knowledge of MLOps and CI/CD, including: Git based workflows, Infrastructure as Code (e.g. Terraform), automated testing and deployment pipelines. Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response. Working knowledge of SQL and integration of ML services into wider data and application ecosystems. Experience using AI assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks. Why Join Us This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high performing sub chapter, and influence strategic decisions, while staying close to the craft you love. You'll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward thinking environment.
Overview The role Willis Re is a technology led reinsurance broker built on a cloud native, modular and data driven platform. As the Technology Head of AI & Emerging Tech, you will own the overall technology strategy and roadmap for AI, automation and next generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing-balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed. Key Responsibilities Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap. Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co pilot experiences for employees. Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements. Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices. Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value. Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows. Assist Product Managers to ensure solutions land successfully with business teams. Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability. About you You are a business minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start up environment and are comfortable operating beyond your usual remit to get things done-partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade offs explicit and hold clear ownership for outcomes. Skills and experience Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud first environments. Proven capability to architect end to end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility. Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions. Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation. Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi region teams. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship driven, transparent and outcome focused. At the heart of Willis Re is a focus on delivering the most cutting edge analytical solutions to enable more informed, better decision making for risk selection, portfolio optimisation, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognised technical expertise from WTW's Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW's Research Network, an award winning business supporting and influencing science to improve the understanding and quantification of risk. Diversity & Inclusion We are committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .
30/06/2026
Full time
Overview The role Willis Re is a technology led reinsurance broker built on a cloud native, modular and data driven platform. As the Technology Head of AI & Emerging Tech, you will own the overall technology strategy and roadmap for AI, automation and next generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing-balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed. Key Responsibilities Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap. Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co pilot experiences for employees. Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements. Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices. Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value. Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows. Assist Product Managers to ensure solutions land successfully with business teams. Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability. About you You are a business minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start up environment and are comfortable operating beyond your usual remit to get things done-partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade offs explicit and hold clear ownership for outcomes. Skills and experience Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud first environments. Proven capability to architect end to end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability. Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration. Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility. Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions. Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation. Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi region teams. About Willis Re We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship driven, transparent and outcome focused. At the heart of Willis Re is a focus on delivering the most cutting edge analytical solutions to enable more informed, better decision making for risk selection, portfolio optimisation, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognised technical expertise from WTW's Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW's Research Network, an award winning business supporting and influencing science to improve the understanding and quantification of risk. Diversity & Inclusion We are committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at .
We are hiring a Principal Machine Learning Engineer to work on cutting edge R&D and translating research into customer centric solutions. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world leading Speech AI, we're looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands on, technical leadership role with high ownership. You will develop and deploy advanced speech systems that power our products as well as co define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You'll Do: Develop and deploy ML models, translating research into scalable, maintainable code and services Optimise ML models for speed, accuracy, and cost efficiency Evaluate and integrate cutting edge approaches into our ML stack Identify and solve complex ML problems across the organisation Define and enforce best practices for code quality, model lifecycle management, etc. Mentor engineers and foster a culture of technical excellence and innovation Co define the long term technical vision What We're Looking For: Deep understanding of the modern Machine Learning stack, for example: Knowledge of contemporary transformer architectures (e.g., GQA, KV caching) and best practices Expertise in distributed training techniques Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech to text or text to speech Contributions to open source projects or published research in top tier conferences We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers' stack irrespective of their industry or use case - making it the go to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2 3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company.
30/06/2026
Full time
We are hiring a Principal Machine Learning Engineer to work on cutting edge R&D and translating research into customer centric solutions. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world leading Speech AI, we're looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands on, technical leadership role with high ownership. You will develop and deploy advanced speech systems that power our products as well as co define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You'll Do: Develop and deploy ML models, translating research into scalable, maintainable code and services Optimise ML models for speed, accuracy, and cost efficiency Evaluate and integrate cutting edge approaches into our ML stack Identify and solve complex ML problems across the organisation Define and enforce best practices for code quality, model lifecycle management, etc. Mentor engineers and foster a culture of technical excellence and innovation Co define the long term technical vision What We're Looking For: Deep understanding of the modern Machine Learning stack, for example: Knowledge of contemporary transformer architectures (e.g., GQA, KV caching) and best practices Expertise in distributed training techniques Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech to text or text to speech Contributions to open source projects or published research in top tier conferences We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we're looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers' stack irrespective of their industry or use case - making it the go to solution to harness useful information from speech. Joining us means working with some of the smartest minds around the world, focused on cutting edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we'll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance. We have structured a hybrid approach that includes 2 3 designated office days each week. This arrangement ensures that while we embrace the advantages of remote work, we also maintain the vital connection and synergy that only in person interactions can foster. This is only the beginning; we're looking for amazing people like you to continue our journey What we can offer you: No matter what stage of your career you're at - from paid internships and first job opportunities through to management and senior positions - we'll support you with the training and development needed to reach your career aspirations with us. There really is no shortage of opportunities here for you to get involved and collaborate with those around you to deliver your best work. We offer incredibly flexible working, regular company lunches, and birthday celebrations. But that's not all. We've spoken to our teams to find out what they want. From Private Medical, and Dental for you and your family, through to global working opportunities, a generous holiday allowance and pension/401K matching, we want to make sure our employees and their families are looked after. Every employee will receive a working from home allowance for tech or home office equipment (on top of your choice of laptop and accessories of course). Our approach to parental leave is designed to support employees globally. While this varies by geo, we have support in place for parents (including adoption assistance and reproductive health services) to ensure they have the time and financial resources needed to care for their growing families. At Speechmatics, our mission is simple: Understand Every Voice out there. That's not just about our tech - it's the heart and soul of who we are. We welcome different experiences, viewpoints, and identities. For us, it's not just the right thing to do; it's our catalyst for sparking innovation and creativity. Our teams thrive in an environment that celebrates and supports everyone - no matter their gender, identity or expression, race, disability, age, sexual orientation, religion, belief, marital status, national origin, veteran status, pregnancy, or maternity status. But we don't just open the door to diversity - we actively welcome it. Why? Because we believe every unique voice adds something special to our team, leading us to smarter solutions and a better workplace. So, come as you are and join our Speechling community. We're building a place where every voice not only gets heard but is also respected and valued. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. Demographic Questions (Europe) We want to make Speechmatics a place where everyone can do their best work, by bringing together diversity of thought and experience and creating an inclusive environment where our people can thrive. Therefore, we would like you to complete these optional questions. Answers are anonymous and not linked to you or your application in anyway. The information you decide to submit will not affect your application but will help us to understand how we are doing when attracting talent. We are an equal opportunity employer and value people of all identities and backgrounds at our company.
Senior AI Platform Engineer (MLOps / ML Infrastructure) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities. This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale. The Role You'll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform. Working closely with AI researchers and robotics engineers, you'll transform complex machine learning workflows into scalable, production-ready systems. Key Responsibilities Build and maintain scalable ML infrastructure Develop containerised training environments Manage cloud GPU orchestration and distributed training Implement experiment tracking and model registries Build automated data processing pipelines Develop model evaluation and deployment workflows Improve developer experience for ML teams Extend CI/CD with ML-specific validation and testing Automate infrastructure provisioning and deployment Requirements Degree in Computer Science, Software Engineering or related discipline 3+ years building cloud, platform, ML or data infrastructure Strong Python development skills Experience with training pipelines and distributed workloads Docker and containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures GPU orchestration and optimisation Simulation and sim-to-real workflows What's on Offer Salary dependent on experience Equity opportunities Private healthcare Conference and training budget Opportunity to build infrastructure powering advanced AI and robotics systems Collaborative and highly technical engineering culture
29/06/2026
Full time
Senior AI Platform Engineer (MLOps / ML Infrastructure) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity Our client is building next-generation intelligent robotic systems and is seeking a Senior AI Platform Engineer to own and scale the machine learning infrastructure that powers training, deployment and continuous improvement of advanced AI capabilities. This role sits at the intersection of cloud infrastructure, machine learning operations, data engineering and robotics, offering a unique opportunity to shape how advanced AI systems are developed and deployed at scale. The Role You'll be responsible for building the infrastructure and workflows that connect data collection, training, evaluation, deployment and fleet management into a seamless platform. Working closely with AI researchers and robotics engineers, you'll transform complex machine learning workflows into scalable, production-ready systems. Key Responsibilities Build and maintain scalable ML infrastructure Develop containerised training environments Manage cloud GPU orchestration and distributed training Implement experiment tracking and model registries Build automated data processing pipelines Develop model evaluation and deployment workflows Improve developer experience for ML teams Extend CI/CD with ML-specific validation and testing Automate infrastructure provisioning and deployment Requirements Degree in Computer Science, Software Engineering or related discipline 3+ years building cloud, platform, ML or data infrastructure Strong Python development skills Experience with training pipelines and distributed workloads Docker and containerisation expertise Experience with cloud platforms (GCP preferred) Infrastructure-as-Code experience (Terraform preferred) Desirable Experience MLOps for robotics, autonomous systems or embodied AI Kubeflow, SkyPilot or similar tooling ONNX and TensorRT deployment MLflow or experiment tracking platforms Event-driven architectures GPU orchestration and optimisation Simulation and sim-to-real workflows What's on Offer Salary dependent on experience Equity opportunities Private healthcare Conference and training budget Opportunity to build infrastructure powering advanced AI and robotics systems Collaborative and highly technical engineering culture
About Smartnumbers We are on a mission to stop fraud and improve customer authentication. Fraud is a huge problem affecting millions of people, it costs the UK near £7bn and represents 40% of all crime. Too often the solution has been to put in place cumbersome authentication processes that frustrate genuine customers, cause inefficiencies for organisations and fail to prevent fraud. We are changing this by providing organisations with real time insight into the risk of a caller. We combine patented machine learning technology with our deep domain knowledge to prevent contact centre fraud and streamline customer experience. We recognise that we need to work together to fight fraud, that is why we have fostered strategic partnerships with leading global organisations like BT, Genesys and Amazon. Together, we protect the UK's largest retail banks, investment banks and emergency services. What you'll be working on You will be part of a cross functional team, working across a variety of tasks from data science research and model development through to platform implementation and maintenance. You will use your knowledge of machine learning algorithms, frameworks, and methodologies to research and develop models for our cloud based authentication and fraud systems, continuously iterating and evaluating model performance using appropriate metrics. You will: Explore and visualise data to discover innovative features and potential data sources. Engineer datasets, develop data pipelines, perform feature engineering, and write code to train, deploy, monitor, and run real time inferences. Build and monitor ML models, addressing issues such as overfitting, underfitting, data leakage, and drift. Use your expertise in engineering and DevOps/MLOps to manage our machine learning platforms using AWS SageMaker and other AWS services. You will: Design, build, and improve scalable public cloud based machine learning platforms. Develop robust data pipelines and workflows, contributing to platform reliability, scalability, and observability through effective monitoring, alerting, and performance tuning. How you'll work All our teams are given the freedom and autonomy to pick their own technology stack based on their system's requirements and preferences. Our technology vision and strategy encourage you to try the latest innovations, and we naturally gravitate towards serverless architectures where appropriate. We value clean, maintainable and robust code for our business critical systems. Some of the technologies currently used by the Intelligence Group are listed below - while mastery of all these areas isn't required, familiarity with as many as possible will be advantageous. Cloud and Infrastructure Infrastructure as Code: Amazon CDK ML Platform: Amazon SageMaker (SageMaker Studio IDE, SageMaker Training / Processing / Pipeline / Endpoints, Feature Store, Model Registry, Model Monitor) Data Processing: Amazon Athena, Apache Iceberg, AWS Glue, Spark Machine Learning ML Frameworks: Scikit Learn, Hugging Face ML Algorithms: Tree based (XGBoost), Deep Learning Model Explainability: SHAP explanations Programming and Development Tools Python Data Processing Libraries, e.g. NumPy, Pandas, Matplotlib, Librosa SQL Source Control and CI/CD GitHub Docker CircleCI Telephony Protocols Session Initiation Protocol (SIP) Contact Centre as a Service (CCaaS), e.g. Amazon Connect, Genesys Cloud What you'll need for the role Smartnumbers values diversity of experience. Candidates should have a strong combination of several of the following skills, competencies and experience: We expect that you will have around 2-3 years' commercial experience across a range of platform engineering and data science responsibilities. The list below gives you an idea of the attributes you'll need, though we're not expecting you to have deep expertise across all aspects. Collaborative approach to working, preferring to discuss and brainstorm tasks with the rest of the team rather than working in isolation. Able to own tasks end to end, take responsibility for the quality of deliverables, and drive ML and MLOps best practices and tooling to consistently enhance our models and ML platform. More interested in finding good solutions, increasing knowledge, and communicating results than simply working fast or producing lots of code. Understanding of machine learning fundamentals: data analysis, feature engineering, algorithms, performance metrics, etc. Understanding of software engineering fundamentals: clean code, source control, SOLID principles, design patterns, refactoring, etc. Understanding of DevOps/MLOps practices: Infrastructure as Code, data pipelines, CI/CD, containerisation, orchestration/pipelines, system & model monitoring. Comfortable digging deep into either datasets or system logs to understand root causes or improve system performance. Proficient in Python, SQL, and data/ML frameworks like Pandas, Scikit Learn etc. Experience with ML techniques and strategies, such as classical ML, deep learning, clustering, ensembling, etc. Experience with MLOps techniques and building and maintaining scalable data pipelines and ML platforms. Experience with cloud services (preferably AWS) and infrastructure as Code (e.g. CDK, CloudFormation). Familiarity with security and data governance principles and practice. What we can offer you As well as a competitive salary of circa £55k per annum, we also offer a comprehensive benefits package, covering a variety of areas, both professional and personal. These benefits include: Hybrid working style, with the expectation of two days in the office (with a great City of London office base!) Family friendly benefits including paid parental leave policies An extensive health insurance policy for you, with an option to add your family members A workplace pension with Hargreaves Lansdown Life insurance of 4 your salary A discretionary annual bonus of up to 10% of your salary Weekly self development time to spend exploring your professional development interests 25 days of annual leave (plus bank holidays), your birthday off, and an opportunity to buy up to 5 days annual leave per year A holistic wellbeing support plan encompassing a variety of offerings to assist you. We provide you with a monthly £50 allowance to fund activities to best support your wellbeing as well as workshops and training to provide tools and guidance. Additionally, there is a wide range employee assistance programme available to advise on personal, family or financial matters and also fun social events during the year. The application process We have a simple 4 stage application process. The interview process will be: Screening interview with the hiring manager Take home coding assessment Technical and competency based interview Culture & values interviews with HR and bar raiser Smartnumbers is committed to promoting equal opportunities in employment. You will receive equal treatment regardless of age, disability, neurodiversity, gender, gender identity, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex and sexual orientation. We welcome all applications for this role. We are committed to providing reasonable support/adjustments in our recruiting processes. If you need support, please reach out to the hiring contact. Please see our privacy notice:
29/06/2026
Full time
About Smartnumbers We are on a mission to stop fraud and improve customer authentication. Fraud is a huge problem affecting millions of people, it costs the UK near £7bn and represents 40% of all crime. Too often the solution has been to put in place cumbersome authentication processes that frustrate genuine customers, cause inefficiencies for organisations and fail to prevent fraud. We are changing this by providing organisations with real time insight into the risk of a caller. We combine patented machine learning technology with our deep domain knowledge to prevent contact centre fraud and streamline customer experience. We recognise that we need to work together to fight fraud, that is why we have fostered strategic partnerships with leading global organisations like BT, Genesys and Amazon. Together, we protect the UK's largest retail banks, investment banks and emergency services. What you'll be working on You will be part of a cross functional team, working across a variety of tasks from data science research and model development through to platform implementation and maintenance. You will use your knowledge of machine learning algorithms, frameworks, and methodologies to research and develop models for our cloud based authentication and fraud systems, continuously iterating and evaluating model performance using appropriate metrics. You will: Explore and visualise data to discover innovative features and potential data sources. Engineer datasets, develop data pipelines, perform feature engineering, and write code to train, deploy, monitor, and run real time inferences. Build and monitor ML models, addressing issues such as overfitting, underfitting, data leakage, and drift. Use your expertise in engineering and DevOps/MLOps to manage our machine learning platforms using AWS SageMaker and other AWS services. You will: Design, build, and improve scalable public cloud based machine learning platforms. Develop robust data pipelines and workflows, contributing to platform reliability, scalability, and observability through effective monitoring, alerting, and performance tuning. How you'll work All our teams are given the freedom and autonomy to pick their own technology stack based on their system's requirements and preferences. Our technology vision and strategy encourage you to try the latest innovations, and we naturally gravitate towards serverless architectures where appropriate. We value clean, maintainable and robust code for our business critical systems. Some of the technologies currently used by the Intelligence Group are listed below - while mastery of all these areas isn't required, familiarity with as many as possible will be advantageous. Cloud and Infrastructure Infrastructure as Code: Amazon CDK ML Platform: Amazon SageMaker (SageMaker Studio IDE, SageMaker Training / Processing / Pipeline / Endpoints, Feature Store, Model Registry, Model Monitor) Data Processing: Amazon Athena, Apache Iceberg, AWS Glue, Spark Machine Learning ML Frameworks: Scikit Learn, Hugging Face ML Algorithms: Tree based (XGBoost), Deep Learning Model Explainability: SHAP explanations Programming and Development Tools Python Data Processing Libraries, e.g. NumPy, Pandas, Matplotlib, Librosa SQL Source Control and CI/CD GitHub Docker CircleCI Telephony Protocols Session Initiation Protocol (SIP) Contact Centre as a Service (CCaaS), e.g. Amazon Connect, Genesys Cloud What you'll need for the role Smartnumbers values diversity of experience. Candidates should have a strong combination of several of the following skills, competencies and experience: We expect that you will have around 2-3 years' commercial experience across a range of platform engineering and data science responsibilities. The list below gives you an idea of the attributes you'll need, though we're not expecting you to have deep expertise across all aspects. Collaborative approach to working, preferring to discuss and brainstorm tasks with the rest of the team rather than working in isolation. Able to own tasks end to end, take responsibility for the quality of deliverables, and drive ML and MLOps best practices and tooling to consistently enhance our models and ML platform. More interested in finding good solutions, increasing knowledge, and communicating results than simply working fast or producing lots of code. Understanding of machine learning fundamentals: data analysis, feature engineering, algorithms, performance metrics, etc. Understanding of software engineering fundamentals: clean code, source control, SOLID principles, design patterns, refactoring, etc. Understanding of DevOps/MLOps practices: Infrastructure as Code, data pipelines, CI/CD, containerisation, orchestration/pipelines, system & model monitoring. Comfortable digging deep into either datasets or system logs to understand root causes or improve system performance. Proficient in Python, SQL, and data/ML frameworks like Pandas, Scikit Learn etc. Experience with ML techniques and strategies, such as classical ML, deep learning, clustering, ensembling, etc. Experience with MLOps techniques and building and maintaining scalable data pipelines and ML platforms. Experience with cloud services (preferably AWS) and infrastructure as Code (e.g. CDK, CloudFormation). Familiarity with security and data governance principles and practice. What we can offer you As well as a competitive salary of circa £55k per annum, we also offer a comprehensive benefits package, covering a variety of areas, both professional and personal. These benefits include: Hybrid working style, with the expectation of two days in the office (with a great City of London office base!) Family friendly benefits including paid parental leave policies An extensive health insurance policy for you, with an option to add your family members A workplace pension with Hargreaves Lansdown Life insurance of 4 your salary A discretionary annual bonus of up to 10% of your salary Weekly self development time to spend exploring your professional development interests 25 days of annual leave (plus bank holidays), your birthday off, and an opportunity to buy up to 5 days annual leave per year A holistic wellbeing support plan encompassing a variety of offerings to assist you. We provide you with a monthly £50 allowance to fund activities to best support your wellbeing as well as workshops and training to provide tools and guidance. Additionally, there is a wide range employee assistance programme available to advise on personal, family or financial matters and also fun social events during the year. The application process We have a simple 4 stage application process. The interview process will be: Screening interview with the hiring manager Take home coding assessment Technical and competency based interview Culture & values interviews with HR and bar raiser Smartnumbers is committed to promoting equal opportunities in employment. You will receive equal treatment regardless of age, disability, neurodiversity, gender, gender identity, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex and sexual orientation. We welcome all applications for this role. We are committed to providing reasonable support/adjustments in our recruiting processes. If you need support, please reach out to the hiring contact. Please see our privacy notice:
Who We Are the company is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world's leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver-for each other and our clients-to make the world work better for people. Overview We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued. Responsibilities Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems Build and optimize data pipelines for structured and unstructured data used in AI application workflows Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation Optimize application and model integration performance for scalability, reliability, latency, and maintainability Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability Write clean, structured, and well-documented code aligned with the team's engineering standards and development best practices Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development Required Skills 5-8 years of Python development experience, with 2+ years of AI/ML development Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI Experience with API development, integration, and web services in production environments Hands on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding of asynchronous programming, performance optimization, and scalable backend architectures Experience with unit testing, debugging, version control, and software engineering best practices Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval based AI patterns is a strong plus Ability to work effectively in a collaborative team environment with strong problem solving and execution skills Desirable Skills Experience working with Agile development methodologies Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications Strong written and verbal communication skills with the ability to document technical solutions clearly
29/06/2026
Full time
Who We Are the company is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world's leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver-for each other and our clients-to make the world work better for people. Overview We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued. Responsibilities Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems Build and optimize data pipelines for structured and unstructured data used in AI application workflows Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation Optimize application and model integration performance for scalability, reliability, latency, and maintainability Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability Write clean, structured, and well-documented code aligned with the team's engineering standards and development best practices Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development Required Skills 5-8 years of Python development experience, with 2+ years of AI/ML development Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI Experience with API development, integration, and web services in production environments Hands on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding of asynchronous programming, performance optimization, and scalable backend architectures Experience with unit testing, debugging, version control, and software engineering best practices Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval based AI patterns is a strong plus Ability to work effectively in a collaborative team environment with strong problem solving and execution skills Desirable Skills Experience working with Agile development methodologies Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications Strong written and verbal communication skills with the ability to document technical solutions clearly
Senior Engineer Location Waterloo, London, England, UK Hybrid (1 day per week in office) Who We Are At the company, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early stage startups to global enterprises, we work across industries to optimise our clients' digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we're truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrives in an environment that champions continuous education, fueling our growth through mentorship and hands on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energize you, you've found the right place. Who You Are You've shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: Successfully contributed to high stakes consulting engagements from discovery to production Written production quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go Built high quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you've served Leveraged AI assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate Experience building or integrating AI/ML powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre existing code to incrementally improve it Collaborated with teams using Git, MacOS/Linux, and CI/CD Remedied architecture level concerns such as scalability, security, reliability, and performance Contributed to forums that encourage idea sharing, collaboration, and problem solving Made thoughtful recommendations and set direction in the face of ambiguity Mentored and shared knowledge with colleagues Actively sought out and effectively given feedback Communicated empathically with stakeholders and colleagues Influenced stakeholders to balance technical considerations with product and user needs What You'll Do At the company As a senior technologist on projects, you'll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You'll work with colleagues who share your passion for technology solutions. You'll invest time developing your skills and sharing what you know. You'll be responsible for: Making immediate contributions to projects, rapidly building trust with your clients and team Working pragmatically to balance technology choices while delivering high quality work within deadlines Contributing to architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non technical) in partnership with team members and clients Contributing to formal feedback conversations with teams and clients via retrospectives Clearly articulating and documenting outcomes and driving forward action items Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions Identifying, mitigating, and resolving blockers to team progress Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate Strongly Preferred Skills We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code How You'll be Supported At the company, we believe our people are our greatest asset. Their growth, well being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: A robust L&D programme featuring unlimited access to thousands of books, courses, and expert led training on the O'Reilly learning platform. Coworking support for our global team 12 weeks of new parent leave available for eligible employees Transparent semi annual promotion panel A Note on Compensation At the company, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company's strategic growth goals and clients' needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640 £70,800 GBP. Reach out to for more relevant information pertaining to your local market. the company Hubs and Geographies The company's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. London Co working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co working day is designed to encourage collaboration and further strengthen our community. In most cases, our consulting engagements do not require travel.
29/06/2026
Full time
Senior Engineer Location Waterloo, London, England, UK Hybrid (1 day per week in office) Who We Are At the company, we bring life to the best ideas. Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early stage startups to global enterprises, we work across industries to optimise our clients' digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. Our commitment to quality means we deliver solutions we're truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrives in an environment that champions continuous education, fueling our growth through mentorship and hands on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. If this kind of work and our kind of people energize you, you've found the right place. Who You Are You've shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: Successfully contributed to high stakes consulting engagements from discovery to production Written production quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go Built high quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you've served Leveraged AI assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate Experience building or integrating AI/ML powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre existing code to incrementally improve it Collaborated with teams using Git, MacOS/Linux, and CI/CD Remedied architecture level concerns such as scalability, security, reliability, and performance Contributed to forums that encourage idea sharing, collaboration, and problem solving Made thoughtful recommendations and set direction in the face of ambiguity Mentored and shared knowledge with colleagues Actively sought out and effectively given feedback Communicated empathically with stakeholders and colleagues Influenced stakeholders to balance technical considerations with product and user needs What You'll Do At the company As a senior technologist on projects, you'll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You'll work with colleagues who share your passion for technology solutions. You'll invest time developing your skills and sharing what you know. You'll be responsible for: Making immediate contributions to projects, rapidly building trust with your clients and team Working pragmatically to balance technology choices while delivering high quality work within deadlines Contributing to architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non technical) in partnership with team members and clients Contributing to formal feedback conversations with teams and clients via retrospectives Clearly articulating and documenting outcomes and driving forward action items Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions Identifying, mitigating, and resolving blockers to team progress Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate Strongly Preferred Skills We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code How You'll be Supported At the company, we believe our people are our greatest asset. Their growth, well being, and success shape our future. Our wellness package is designed with the Whole YOU in mind and includes: A robust L&D programme featuring unlimited access to thousands of books, courses, and expert led training on the O'Reilly learning platform. Coworking support for our global team 12 weeks of new parent leave available for eligible employees Transparent semi annual promotion panel A Note on Compensation At the company, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company's strategic growth goals and clients' needs. We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640 £70,800 GBP. Reach out to for more relevant information pertaining to your local market. the company Hubs and Geographies The company's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. London Co working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co working day is designed to encourage collaboration and further strengthen our community. In most cases, our consulting engagements do not require travel.
Requisition # CSQ327R148 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company-based solutions to complete customer projects. Travel to customers 20% of the time the company Certification Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
29/06/2026
Full time
Requisition # CSQ327R148 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white-boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company-based solutions to complete customer projects. Travel to customers 20% of the time the company Certification Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
United States Digital Space LLC
Cambridge, Cambridgeshire
C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".
29/06/2026
Full time
C++ AI/ML Software Engineer HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions. You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting edge machine learning research and production grade security software. To see what our engineering teams are working on, visit our technical blogs: We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full time opportunity for a collaborative, hands on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence. We offer a comprehensive benefits package and excellent career development opportunities. Responsibilities Design, develop, and maintain AI/ML driven features within HP Wolf Security products. Develop high performance C++ components that integrate machine learning models into endpoint security solutions. Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms. Optimise model inference, performance, scalability, and resource utilisation on endpoint devices. Develop data processing, evaluation, and automation tools using Python. Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities. Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices. Evaluate emerging AI technologies and contribute to future product innovation. Qualifications Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation. Experience developing and deploying machine learning or AI based software solutions. Excellent analytical, problem solving, and software engineering skills. Experience working with Python for machine learning workflows, automation, or tooling. Understanding of software development lifecycle, testing methodologies, and version control systems. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience. Desired Additional Experience Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar. AI model deployment, optimisation, and inference in production environments. Data processing, feature engineering, and model evaluation techniques. Security, cybersecurity, or threat detection applications of AI/ML. Large Language Models (LLMs), Generative AI, or AI assisted security technologies. High performance, multi threaded, or systems level C++ development. Cloud based AI/ML services and MLOps practices. Location & Working Model This role is based in HP's Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people focused senior role, regular in person collaboration is encouraged. About You You're out to reimagine and reinvent what's possible - in your career as well as the world around you. We love taking on tough challenges, disrupting the status quo, and creating what's next. We're in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference. Why Join HP Wolf Security HP Wolf Security is central to HP's strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built in, enterprise grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale. The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers' devices and data. The digital threat landscape is ever changing and as the cybersecurity industry reacts and adapts to changes, so too do the malware authors. Our unique micro virtualization technology ensures customers are protected from even the most bleeding edge cyber security threats. That micro virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing. Our History Inspired by the isolation principles of traditional virtualization, HP's team known then as Bromium created a game changing technology called micro virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero day malware. Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security. For more information, visit our website: Equal Opportunity Employer (EEO) HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation, or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".
JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
29/06/2026
Full time
JOB DESCRIPTION Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Software Engineer II at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job Responsibilities Execute well defined components of cloud native platform services, AI applications, and supporting tooling with minimal guidance. Contribute to reusable platform components, libraries, and templates that other teams across ICB compose into their own AI use cases. Apply established resilient patterns within your services; elevate risks or gaps to senior engineers. Develop secure code to protect our customers and ourselves from malicious actors. Investigate and remediate issues within your scope; elevate appropriately; contribute to preventing recurrence. Support release processes aiming for zero downtime, following team standards. Contribute to observability for the platform components and applications you work on; raise anomalies for squad resolution. Contribute to ensuring the platform components and applications you work on meet the needs of the developers and teams who use them, within your scope. Maintain and continuously improve the platform components and AI applications you ship. Embed controls, compliance, and security into the components and applications you build, so that teams adopting them meet their obligations by default. Provide well structured, timely updates on Jira stories to keep the squad informed of progress and issues. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and applied experience. Recent hands on professional experience as a back end software engineer. Experience coding in recent versions of Java and Python programming languages. Experience designing and implementing effective tests (unit, component, integration, end to end, performance, etc.). Excellent written and verbal communication skills in English. Familiarity with advanced AI and ML concepts, such as model serving, feature retrieval, Retrieval Augmented Generation (RAG), and Model Context Protocol (MCP). Strong interest in building generative AI applications and tooling. Experience with cloud technologies and distributed systems, RESTful APIs, and web technologies. Preferred Qualifications, Capabilities, And Skills Background in STEM with exposure to machine learning systems. Experience with MLOps frameworks and platforms like MLflow, Amazon SageMaker, Databricks, BentoML, or Arize is a plus. Experience with AI frameworks like LangChain, LangGraph, or Pydantic AI is a plus. Hands on experience with cloud computing platforms like AWS, Azure, or GCP. Experience working in a highly regulated environment or industry. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Lead AI Engineer - Workday ProductsApplylocations: Belfast: Gdansk: Derry-Londonderry: Homeworker - Poland: Homeworker - UKtime type: Full timeposted on: Posted Todayjob requisition id: JR\_17949# Join Kainos and Shape the FutureAt Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working.# Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
29/06/2026
Full time
Lead AI Engineer - Workday ProductsApplylocations: Belfast: Gdansk: Derry-Londonderry: Homeworker - Poland: Homeworker - UKtime type: Full timeposted on: Posted Todayjob requisition id: JR\_17949# Join Kainos and Shape the FutureAt Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger. As a Lead AI Engineer within the Workday Products at Kainos, you will play a critical role in bridging the gap between data science and software engineering to productionize AI and machine learning solutions. You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday Products offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with proficiency in languages such as Python, Java, or C++. Emphasis on writing clean, efficient, and maintainable code for production-grade AI solutions. Proven experience in deploying AI/ML models to production environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions with enterprise data systems. Exposure to agile software development practices and experience working in agile teams. Strong interpersonal skills, with the ability to collaborate with cross-functional teams, translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such as conferences, workshops, or blogs, contributing to the AI community and fostering innovation. Who you are: Determined - you're flexible and overcome obstacles to get the job done to achieve personal and team goals. Creative - you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems Honest - always constructive when giving or receiving feedback, being transparent and truthful when dealing with others Respectful - you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with Cooperative - you share information, knowledge and experience, understanding the mutual benefits of team working.# Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
Dormont Manufacturing Co
Cambridge, Cambridgeshire
AVEVA is creating software trusted by over 90% of leading industrial companies. Position Experienced Software Engineer, AI Services Location Cambridge, United Kingdom (hybrid) Employment Type Full-Time The job We are looking for passionate and seasoned Software Engineers to join our Core AI Services team. In this role, you will help design, develop, and scale AI enabling platform services and public APIs that are secure, reliable, and cloud native. These services will act as foundational building blocks for AI adoption across AVEVA's product portfolio and partner ecosystem. If you are a seasoned engineer who is energized by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you. You will be part of a Scrum team to build innovative, standards compliant, secure and production grade AI capabilities, with a builder mindset, rapid prototyping and continuous improvement with agility of a start up. Key responsibilities Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Build scalable, fault tolerant cloud native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross functional teams to deliver end to end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Essential requirements Extensive experience in software engineering, preferably in platform or cloud native service development, ideally using Microsoft and .NET technologies. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Hands on experience architecting and deploying scalable cloud native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads. Excellent problem solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Desired skills and competencies Experience working with Large Language Models (LLMs) and understanding of trade offs between performance, cost, and capability. Understanding of Retrieval Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Familiar with AI orchestration and agentic frameworks. Experience with tools for automated testing and evaluation of AI outputs. Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Experience working in Agile teams and collaborating across global R&D locations. UK Benefits include Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office based. Roles supporting particular customers or markets are sometimes remote. Background check AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. Equal Opportunity AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis.
29/06/2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Position Experienced Software Engineer, AI Services Location Cambridge, United Kingdom (hybrid) Employment Type Full-Time The job We are looking for passionate and seasoned Software Engineers to join our Core AI Services team. In this role, you will help design, develop, and scale AI enabling platform services and public APIs that are secure, reliable, and cloud native. These services will act as foundational building blocks for AI adoption across AVEVA's product portfolio and partner ecosystem. If you are a seasoned engineer who is energized by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you. You will be part of a Scrum team to build innovative, standards compliant, secure and production grade AI capabilities, with a builder mindset, rapid prototyping and continuous improvement with agility of a start up. Key responsibilities Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Build scalable, fault tolerant cloud native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross functional teams to deliver end to end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Essential requirements Extensive experience in software engineering, preferably in platform or cloud native service development, ideally using Microsoft and .NET technologies. Strong expertise in RESTful API design, versioning, testing, and lifecycle management. Proficient in securing APIs, managing authentication/authorization and data privacy practices. Hands on experience architecting and deploying scalable cloud native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads. Excellent problem solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. Desired skills and competencies Experience working with Large Language Models (LLMs) and understanding of trade offs between performance, cost, and capability. Understanding of Retrieval Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Familiar with AI orchestration and agentic frameworks. Experience with tools for automated testing and evaluation of AI outputs. Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Experience working in Agile teams and collaborating across global R&D locations. UK Benefits include Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office based. Roles supporting particular customers or markets are sometimes remote. Background check AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. Equal Opportunity AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis.
We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company based solutions to complete customer projects. Travel to customers 20% of the time the company Certification - an advantage Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
29/06/2026
Full time
We're hiring for multiple roles within our FDE team. As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the company platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data. This is a hands on, customer facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end to end design, build and deployment of industry leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of the company. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices. Work with the company technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs. Work with Engineering and the company Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the company product roadmap. What we look for: Experience in data engineering, data platforms & analytics, or software engineering / full stack development Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end to end data architectures and applications that combine data pipelines, ML/AI models, and user facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with enterprise clients and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of the company based solutions to complete customer projects. Travel to customers 20% of the time the company Certification - an advantage Benefits At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
IC Resources is seeking an innovative MLOps Engineer to join a pioneering deep-tech company focused on developing next-generation computing technology for AI deployments. This role offers the opportunity to own MLOps while working on breakthrough technology that addresses performance and efficiency challenges in AI compute. The ideal candidate will possess strong skills in building and maintaining production ML pipelines, as well as experience with Docker, Kubernetes, and Python frameworks like PyTorch. Join a highly talented team and influence product direction with competitive compensation and benefits.
29/06/2026
Full time
IC Resources is seeking an innovative MLOps Engineer to join a pioneering deep-tech company focused on developing next-generation computing technology for AI deployments. This role offers the opportunity to own MLOps while working on breakthrough technology that addresses performance and efficiency challenges in AI compute. The ideal candidate will possess strong skills in building and maintaining production ML pipelines, as well as experience with Docker, Kubernetes, and Python frameworks like PyTorch. Join a highly talented team and influence product direction with competitive compensation and benefits.
Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We're looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. This role blends hands on engineering, AI/ML innovation and client facing problem solving. You'll work across traditional data engineering and emerging LLM/agentic AI patterns, helping design and deploy scalable, production ready solutions. Role responsibilities Design and build scalable data solutions using BigQuery and GCP native tooling Develop and deploy ML and AI solutions, including LLM based and agentic systems Work with tools such as Gemini to power conversational and analytical use cases Build and integrate analytical agents into real world applications Implement evaluation frameworks (version controlled via Git) to assess model and system performance Orchestrate APIs and enable seamless integration between models, data pipelines, and applications Apply modern MLOps and engineering best practices to deploy and maintain solutions in production Define and assess the quality and timeliness of available data sources Problem Solving & Client Engagement Translate business challenges into scalable data and AI solutions Communicate complex technical concepts clearly to non technical stakeholders Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions Work closely with cross functional teams (engineering, product, business) Help shape opportunities where conversational analytics and AI can drive value Required Skills Strong experience as a Data Engineer / Tech Lead within GCP Deep expertise in BigQuery and cloud based data architectures Hands on experience building and integrating ML / AI models into applications Experience with LLMs, RAG, embeddings, or agentic AI systems Experience with API orchestration and system integration Familiarity with evaluation pipelines and version control (Git) Strong communicator who can bridge technical and business teams Curious, pragmatic problem solver with a focus on impact Comfortable working in ambiguity and shaping new AI driven solutions Collaborative mindset with the ability to guide and influence others Nice to have Experience with Gemini, ADK, or similar AI frameworks Exposure to CDPs, analytics tooling, or customer data ecosystems Experience with MLOps and productionising AI solutions If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full time position based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
29/06/2026
Full time
Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognised brands. To our people we offer growth opportunities, a values driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We're looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. This role blends hands on engineering, AI/ML innovation and client facing problem solving. You'll work across traditional data engineering and emerging LLM/agentic AI patterns, helping design and deploy scalable, production ready solutions. Role responsibilities Design and build scalable data solutions using BigQuery and GCP native tooling Develop and deploy ML and AI solutions, including LLM based and agentic systems Work with tools such as Gemini to power conversational and analytical use cases Build and integrate analytical agents into real world applications Implement evaluation frameworks (version controlled via Git) to assess model and system performance Orchestrate APIs and enable seamless integration between models, data pipelines, and applications Apply modern MLOps and engineering best practices to deploy and maintain solutions in production Define and assess the quality and timeliness of available data sources Problem Solving & Client Engagement Translate business challenges into scalable data and AI solutions Communicate complex technical concepts clearly to non technical stakeholders Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions Work closely with cross functional teams (engineering, product, business) Help shape opportunities where conversational analytics and AI can drive value Required Skills Strong experience as a Data Engineer / Tech Lead within GCP Deep expertise in BigQuery and cloud based data architectures Hands on experience building and integrating ML / AI models into applications Experience with LLMs, RAG, embeddings, or agentic AI systems Experience with API orchestration and system integration Familiarity with evaluation pipelines and version control (Git) Strong communicator who can bridge technical and business teams Curious, pragmatic problem solver with a focus on impact Comfortable working in ambiguity and shaping new AI driven solutions Collaborative mindset with the ability to guide and influence others Nice to have Experience with Gemini, ADK, or similar AI frameworks Exposure to CDPs, analytics tooling, or customer data ecosystems Experience with MLOps and productionising AI solutions If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all. The benefits This is a full time position based in the UK. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country-dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Smartnumbers is looking for a Machine Learning Engineer to join their team in London. The role involves developing and maintaining cloud-based machine learning platforms, engineering data pipelines, and ensuring model performance using AWS and various ML technologies. Candidates should have experience in machine learning, proficiency in Python and SQL, and a good understanding of AWS services. Smartnumbers offers a competitive salary and benefits including hybrid working, health insurance, and generous leave.
29/06/2026
Full time
Smartnumbers is looking for a Machine Learning Engineer to join their team in London. The role involves developing and maintaining cloud-based machine learning platforms, engineering data pipelines, and ensuring model performance using AWS and various ML technologies. Candidates should have experience in machine learning, proficiency in Python and SQL, and a good understanding of AWS services. Smartnumbers offers a competitive salary and benefits including hybrid working, health insurance, and generous leave.
Location: London Business Area: Engineering and CTO Ref #: Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications. As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as Kubernetes, Kubeflow, KServe, Argo, Buildpacks and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Troubleshoot and debug user issues Provide operational and user-facing documentation We are looking for a Senior ML Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Strong knowledge of Kubernetes, Argo, and container orchestration technologies Previous experience with modern CI/CD tools and GitOps workflows Familiarity with implementing automation for model development lifecycles A proactive mentality and ability to collaborate with peers, stakeholders, and management A degree in Computer Science, Engineering, Mathematics, or a similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
29/06/2026
Full time
Location: London Business Area: Engineering and CTO Ref #: Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications. As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as Kubernetes, Kubeflow, KServe, Argo, Buildpacks and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Troubleshoot and debug user issues Provide operational and user-facing documentation We are looking for a Senior ML Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Strong knowledge of Kubernetes, Argo, and container orchestration technologies Previous experience with modern CI/CD tools and GitOps workflows Familiarity with implementing automation for model development lifecycles A proactive mentality and ability to collaborate with peers, stakeholders, and management A degree in Computer Science, Engineering, Mathematics, or a similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
