and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML More ❯
and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML More ❯
and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML More ❯
and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML More ❯
and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML More ❯
and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML More ❯
A fast-growing SaaS and digital product company is looking for a CTO to lead the build and scale of its technology function. This is a rare opportunity to shape the engineering vision, drive innovation, and help deliver next-generation AI-augmented software products in a high-growth, well-funded environment. Role: Chief Technology Officer Salary: Dependent on experience Location … Guildford What you’ll be doing: Build and lead a high-performing engineering team focused on delivering scalable SaaS and digital products Drive innovation by embedding AI into both product functionality and engineering processes Partner with Product, Data, and AI teams to deliver a cohesive technology roadmap with regular release cycles Oversee the full software development lifecycle, ensuring performance, quality … to align technology with commercial goals and growth strategy Represent the engineering function in strategic discussions and investor or partner meetings What you’ll need: Proven experience in aSaaS or digital product environment , ideally scaling from start-up to high-growth Deep technical expertise in C#, .NET Core, Angular, SQL, and Azure (or equivalent cloud platforms) Strong understanding of More ❯
Role: VP of Engineering Salary: £140,000 + Equity Location: London (5 days a week in office with some flexibility) About the Company Our client is a fast-growing SaaS business transforming property management through intelligent automation. Its flagship AI assistant autonomously handles up to 80% of administrative workflows - from compliance and maintenance to lettings and tenant support. Built for … key part in the company's next stage of growth. It's ideal for a senior engineer or tech leader with a strong product mindset and experience in AI, SaaS, or automation platforms. Key Responsibilities Lead the technical development of AI-driven property management solutions Write, review, and optimise code while maintaining engineering best practices Manage and mentor a team … What You'll Bring Strong academic background - ideally a First-Class degree in Computer Science, Engineering, or related field 5+ years of proven experience in software engineering within AI, SaaS, or automation platforms Deep technical expertise (e.g., Python, Node.js, AI/ML integration, cloud infrastructure) Previous experience in a leadership role within a startup or high-growth tech company Excellent More ❯
IT Infrastructure Engineer *Mostly in-office working in Whiteley, Hampshire* Stratospherec are proud to be working with a fantastic UK SaaS Fintech company whose IT systems are revolutionising the UK finance, retail and commerce industries. Due to their sustained and continued growth they are looking to expand their IT Infrastructure team by hiring an Infrastructure Engineer with a strong Wintel … pipelines for infrastructure automation. Some experience managing cloud environments (Azure, AWS). This is an exciting new role for a growing IT Infrastructure team, within a successful and growing SaaS company, so if you are looking for an exciting challenging IT Systems and automation role, then please apply with your CV for immediate interview. Please note we can only consider More ❯
customer solutions to drive improvements. Your Expertise Experience: 5+ years of experience in a client-facing role such as Technical Account Manager, Implementation Consultant, or similar in a B2B SaaS environment. Experience in the hospitality, retail, or e-commerce sectors is highly advantageous. Project Management: Proven track record of delivering successful technical solutions to mid-market and enterprise clients, with … with a Global Team- Be part of a diverse, international team that values transparency, visibility, and a multitude of perspectives. Be Part of a Unicorn- Join a rapidly scaling SaaS unicorn at the forefront of the order management industry, where your contributions have significant impact. Enjoy Regionally Tailored Rewards- Our compensation and benefits packages are thoughtfully designed to reflect the More ❯
City of London, London, United Kingdom Hybrid/Remote Options
RemoteStar
product internally and externally (e.g., customer calls, webinars, product demos). Required Qualifications & Skills: Proven experience (typically 3-7 years) asa Product Manager (or Senior PM) in aSaaS environment. Experience working on data-/analytics/AI-driven products (bonus if in cybersecurity, supply-chain risk, third-party intelligence or adjacent domains). Strong understanding of product management … . Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams. Experience with visualising large-scale graph data sets or complex network interactions. Experience launching SaaS modules, working with freemium to paid conversion, and driving monetisation strategies. More ❯
product internally and externally (e.g., customer calls, webinars, product demos). Required Qualifications & Skills: Proven experience (typically 3-7 years) asa Product Manager (or Senior PM) in aSaaS environment. Experience working on data-/analytics/AI-driven products (bonus if in cybersecurity, supply-chain risk, third-party intelligence or adjacent domains). Strong understanding of product management … . Experience working with enterprise B2B customers, especially security teams, procurement/supply-chain teams. Experience with visualising large-scale graph data sets or complex network interactions. Experience launching SaaS modules, working with freemium to paid conversion, and driving monetisation strategies. More ❯
Drive adoption of Elliptic's solutions within diverse enterprise architectures, handling integration challenges and ensuring customer success. Skills, Knowledge & Expertise You must have: 8+ years of experience in enterprise SaaS solution consulting, sales engineering, or pre-sales roles in Enterprise SaaS B2B companies Proven track record of building, leading, and scaling global Solution Consulting teams across multiple regions. Deep understanding More ❯
Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Datatech Analytics
Senior Data Engineer – (ML Deployment Experience Required) Location: London (Hybrid: Monday–Wednesday in office) Salary: £65,000–£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage and scale More ❯
Senior Data Engineer - (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage More ❯
and continuous growth. The must haves Proven leadership in a technology environment, managing teams of data engineers, BI developers, and analysts, with a modern, people first approach. Experience in SaaS or platform based businesses is a plus. Experience in data roles (data engineering, BI, analytics or architecture). Data lake storage, SQL database, NoSQL Sound understanding of database architecture and More ❯
in Azure, Databricks, ETL, and API or middleware integrations Strong knowledge of SAP, CRM, Shopify POS, and e-commerce platforms Deep understanding of data governance, security, and cloud or SaaS environments Excellent communication and collaboration skills with the ability to influence across teams Strong documentation, solution review, and architectural advisory experience Degree in Computer Science or equivalent certifications Tools and More ❯
to harmonise multiple regional ERPs existing globally, while respecting our divisional operating models and métier specificities. It will create a standardized, single global core ERP model, based on the SaaS Microsoft D365 F&O platform. HERO is not just a Programme; it is a transformation building the foundation for the success of our Global business, strengthening us to embrace the More ❯
such as Open-source Kafka, Cloudera Kafka, AWS MSK, etc. • Solid understanding of Kafka architecture and operational management in enterprise environments. • Experience in professional services or implementation consulting for SaaS products, especially involving data integration, streaming, or enterprise architecture Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include More ❯
such as Open-source Kafka, Cloudera Kafka, AWS MSK, etc. • Solid understanding of Kafka architecture and operational management in enterprise environments. • Experience in professional services or implementation consulting for SaaS products, especially involving data integration, streaming, or enterprise architecture Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include More ❯
these technologies, e.g., Dell Boomi, Snap Logic, MuleSoft, APIGEE, AWS, Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake, Azure Data Platform, etc. (Preferred but not mandatory) Experience in Designing Solutions, Requirements Gathering, Team Leadership, Training & Development, Technical Document More ❯
driven recommendations. Foster a collaborative culture, ensuring all teams are aligned on delivering exceptional customer experiences and commercial outcomes. Knowledge, Skills and Experience Essential 10+ years' experience in B2B SaaS, data, or technology-enabled businesses with subscription or recurring revenue models. Proven track record of developing and executing value-based sales strategies to drive revenue growth and in managing full More ❯
Mentor and guide product managers and team members 10+ years of experience in product management, a part of that being in a platform product and/or in B2B Saas Super strong analytical and problem-solving skills Proven track record of managing the lifecycle of a complex product Excellent communication and interpersonal skills Experience with Agile methodologies and product management More ❯
AgilePM Practitioner, PMI-PMP, or PMI-ACP certification required. Bachelor’s degree in Information Technology, Computer Science, or Engineering (Master’s preferred). Preferred Skills Familiarity with cloud and SaaS environments (AWS, Azure, GCP, Salesforce, SAP Cloud). Agile Methodologies & Frameworks Deep understanding of Scrum, Kanban, SAFe, or LeSS Experience facilitating daily stand-ups, sprint planning, retrospectives, and reviews Proven More ❯