About Springer Nature Group

Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow. Visit and follow @SpringerNature / @SpringerNatureGroup

About Springer Nature Technology & AI

Technology is central to our ability to serve our communities and it has played a vital role in the success of Springer Nature. For instance, it enabled us, along with the rest of the academic publishing industry, to transition earlier than other content industries from print to digital and is behind our transition to open access.

We believe AI has the potential to further accelerate discovery if supported by human oversight. We are therefore building on our experience and using technology and AI tools, all of which we are deploying alongside human intervention and with human oversight, to further help the research community. For example, with the help of AI we are curating data that would have taken humans years to collate and turn it into a book for academics to build upon.

AI also helps to promote equity by helping editors find the right peer reviewers from the vast scientific global network of academics faster and helps non-native English speaking scientists to improve their science communication and reach new global audiences.

We are also using AI to build ever more sophisticated integrity checks to safeguard the scientific record. Security and ethics remain essential to us, even in the era of AI ("human in the loop"). With all this activity, we have to put a strong focus on safety and ethics to help us mitigate risks and have an AI Ethics forum which has developed a set of principles to guide our activity.

About the role

As an MLOps engineer in the SN AI Lab, you’ll be joining a team of engineers who are building cutting-edge AI solutions. In this dynamic environment, we’ll teach you the best practices of cloud optimisation, deployment and scaling. 

The opportunity:

MLOps is a fast-moving field and one of the most important in bringing AI solutions safely and sustainably into production. MLOps includes capabilities such as automation of model training, model monitoring, building fault-tolerant workflows, ensuring reproducibility, and providing opportunities for scale (such as to millions of calls per month). 

Working within the SN AI Lab team, you’ll:

About you

As the role is not senior, we expect that you’ll learn a lot on the job (and we’re happy to teach you!). With the right mindset, we believe anyone can succeed, and we’re happy to mutually invest in your progress. Here’s a bit more about our expectations:

Come join SN AI Lab!

SN AI Lab offers a fun, innovative, and dynamic tech environment. We hire talents who dare to take a stand and explore new directions! We empower our team to be self-leading, take initiative, and experiment. With us, you can build great AI software products, and a rewarding career in tech.

Most importantly, we offer an environment for you to continuously learn with a fun, brilliant, international & diverse team, as we build advanced solutions to help accelerate scientific discovery. We offer a competitive, industry-benchmarked salary. If you think this sounds ‘gezellig’, we’d love to hear from you!