National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Staff Software Engineer, MLOps (Remote within UK)

HubSpot, Inc
united kingdom
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Software Engineer (Machine Learning)

Software Engineer

Software Engineer (Machine Learning)

Data Scientist

Junior Machine Learning Engineer - AI startup

HubSpot is on the forefront of empowering businesses with cutting-edge AI, and our MLOps Group is at the heart of this initiative.

We’re also an organization proud of how we treat our employees, and have to show for it. We are building a company future generations can be proud of. A company where everyone is welcome. A company where you can . 

We are seeking a Staff level Software Engineer with a passion for machine learning operations and data engineering to join our ML Data team. The ML Data team is part of the MLOps Group and its goal is to provide infrastructure and tooling to Machine Learning Engineers to be able to excel in their work while also accelerating HubSpot Product & Engineering teams to adopt AI throughout the HubSpot product suite.

The team currently owns many projects that contribute to our data initiatives like our ML Data Lake (on top of Snowflake) that backs all ML use cases in HubSpot and our VectorDB offering (on top of Qdrant) that powers our RAG (Retrieval Augmented Generation) use cases. Because Data is a crucial part of the ML lifecycle one of the next initiatives the team will focus on is making it easy to explore and access data at HubSpot for ML use cases, including streams of work like data cataloging and data availability for training and serving.

Your Role:

Lead and Innovate: Drive the development of our machine learning data infrastructure, focusing on enhancing our capabilities in managing and utilizing data effectively. You will lead projects to improve our current platform offering while also leading the next iteration of our ML Data platform.Strategic Direction: As a key member of the ML Data team, you will offer strategic insights and direction to ensure our data management practices meet the evolving needs of our machine learning projects. Your expertise will guide the creation of efficient, scalable solutions that enhance our AI product offerings.Collaborative Problem Solving: Work closely with teams of Machine Learning Engineers and Product Software Engineers to understand their challenges and develop solutions that streamline our data processes. Your role is pivotal in bridging the gap between data management and machine learning, facilitating the efficient development and deployment of AI solutions.Mentorship and Leadership: Share your knowledge and experience by mentoring engineers, fostering a culture of innovation and continuous improvement, embodying our .

We are looking for people who:

Delivers hands-on high-impact projects: You have a proven track record of directly contributing to and leading large-scale, data-intensive AI/ML system projects.Can collaborate/influence across all levels of the organization: Your ability to work effectively across teams ensures that you can influence decisions and drive forward our data strategies.Bring industry best practices: Your expertise helps enhance our data infrastructure, applying best practices to improve scalability, performance, and resilience as our business grows.Is committed to data quality, security, and privacy: You prioritize the integrity and security of data, implementing measures that safeguard information and ensure compliance with data protection regulations.

We know the and can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us . This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

Germany Applicants:(m/f/d) - link to HubSpot's Career Diversity page .

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the , which has more than 5M views, and learn about , too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our to learn more about culture and opportunities at HubSpot. 

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.