Trainline

More roles at Trainline

Senior MLOps Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · London

Employer listed it 4 days ago · Added 2 days ago

First listed 4 days ago and still open.

Salary

£80k to £108k per year

Location

Hybrid · London

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around London, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "London, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Hands-on experience with IaC and CI/CD tooling, ideally Terraform and GitHub Actions, though alternatives such as AWS CloudFormation and Jenkins are also relevant”
“Experience with containerised workloads using Docker and cloud platforms, ideally AWS, though GCP and Azure will be considered”

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About us

At Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.

Great journeys start with Trainline 🚄

We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.

Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.

We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.

Introducing the Trainline MLOps Team 👋

Our MLOps team helps machine learning (ML) and AI teams across Trainline build, launch and run their products reliably. As a Senior MLOps Engineer, you will help shape how we operate AI and ML systems, including the infrastructure and tooling behind our internal ML/AI platforms and our customer-facing products. You will work on systems that are already being built and used across Trainline, so your impact will be real and visible. No two weeks look the same: one day you might be building out our ML platform, the next helping shape the architecture of our multi-agent AI products, and the next improving the developer experience with new tooling and standards. This is a hands-on role with technical leadership at its core. You will join an established team, working alongside our MLOps Engineering Manager and a small group of engineers, as we support a growing number of ML and AI teams. There is genuine scope to influence our technical direction, develop our engineering practices and mentor junior colleagues.

In this role as the Senior MLOps Engineer, you will... 🚅

Take a leading technical role in helping teams across Trainline adopt and operate ML and AI tooling as the technology evolves

Support AI infrastructure, working with the teams building our internal platform and customer-facing products, making sure products are well governed, monitored and deployed through automation

Build and drive adoption of one standard way to deploy ML and AI products, so that new products onboard quickly and reach production faster

Automate the modernisation of our services across products, including fixing and preventing security vulnerabilities in libraries and dependencies

Strengthen our MLOps foundations by improving cost tracking, finding ways to reduce costs, addressing security vulnerabilities and standardising engineering practices

Contribute to technical strategy, evaluating options and making well-reasoned decisions where there is no established approach

Communicate technical decisions clearly and help prioritise requests from the ML teams we support

Mentor fellow engineers and share knowledge through documentation and enablement across the organisation

We’d love to hear from you if you have...🔍

Hands-on experience with IaC and CI/CD tooling, ideally Terraform and GitHub Actions, though alternatives such as AWS CloudFormation and Jenkins are also relevant

Experience with containerised workloads using Docker and cloud platforms, ideally AWS, though GCP and Azure will be considered

Experience productionising AI products, including agentic systems and the AIOps tooling behind them, ideally using AWS Bedrock AgentCore or similar

Experience with managed or self-hosted ML infrastructure, such as Amazon SageMaker, feature stores (e.g. Feast) and DAG tooling (e.g. Airflow, Metaflow, or similar)

Experience with model experiment tracking, ideally MLflow or Weights & Biases, and with monitoring tools such as EvidentlyAI, CometML, Grafana or New Relic

Experience writing production-quality, tested Python code

Requirements

·Hands-on experience with IaC and CI/CD tooling, ideally Terraform and GitHub Actions, though alternatives such as AWS CloudFormation and Jenkins are also relevant
·Experience with containerised workloads using Docker and cloud platforms, ideally AWS, though GCP and Azure will be considered
·Experience productionising AI products, including agentic systems and the AIOps tooling behind them, ideally using AWS Bedrock AgentCore or similar
·Experience with managed or self-hosted ML infrastructure, such as Amazon SageMaker, feature stores (e.g. Feast) and DAG tooling (e.g. Airflow, Metaflow, or similar)
·Experience with model experiment tracking, ideally MLflow or Weights & Biases, and with monitoring tools such as EvidentlyAI, CometML, Grafana or New Relic

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Trainline, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 3d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.