Trainline
More roles at TrainlineMachine Learning Engineering Manager
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · London
Employer listed it 11 days ago · Added 8 days ago
First listed 11 days ago and still open.
Salary
Not stated
Location
Hybrid · London
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
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
- “Experience with modern ML infrastructure on a major cloud platform, ideally AWS, covering distributed data processing, orchestration, model management and infrastructure as code”
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.
- No pay is stated. Ask for the salary range before investing time in interviews.
- 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 đźš„
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 Machine Learning and AI Team đź‘‹
Machine learning is at the heart of Trainline’s mission to help millions of people make sustainable travel choices every day. Our models and AI agents support customers when journeys go wrong, power search and recommendations across our apps and website, find the best fares through pricing and routing optimisation, personalise the experience with generative AI, and make our digital marketing smarter. Our teams own the full lifecycle from idea to production, and work closely with colleagues across the business to grow the impact of ML and AI at Trainline.
We’re looking for a Machine Learning Engineering Manager to lead a team of 7 ML engineers and data engineers within our Core Experience pillar, which covers Search, Supply and Commerce. Your team’s work sits at the centre of how customers find, compare and buy their tickets. You’ll be accountable for what your team ships and how it ships it: the quality of the systems, the pace of delivery and the growth of the people building them. You’ll work alongside data scientists, software engineers and product managers. You’ll stay close enough to the technical work to make good calls on architecture, trade-offs and risk. What unites us is curiosity, a love of what we do and a desire to make sustainable travel the easy choice.
In this role, you will... đźš„
Lead, coach and grow a team of ML and data engineers. That means setting clear expectations, giving regular feedback, managing performance and building an inclusive team where people do their best work
Hire for the team, shaping the roles we need and running a fair, rigorous interview process
Own delivery: plan and prioritise with your product partners across Search, Supply and Commerce, unblock the team, and ship ML and AI systems that move measurable customer and business outcomes
Set the technical direction for your team’s systems, including architecture, build-versus-buy, and knowing when a simpler approach beats a more sophisticated one
Make sure the team builds well across the whole lifecycle: reliable data pipelines, high-quality features, rigorous offline and online evaluation (including A/B testing), reliable deployment, monitoring and ongoing maintenance
Lead the team in building production-grade agentic systems, using orchestration harnesses such as LangGraph to design multi-step workflows, tool use and human-in-the-loop controls
Make evaluation a first-class engineering discipline for LLM and agent work. That means curated eval sets, LLM-as-judge and human review, tracing, regression testing of prompts and agents, and online monitoring of quality, cost and latency
Set the guardrails for responsible use of AI, covering safety, privacy and clear fallbacks when an agent shouldn’t act on its own
Raise the bar on engineering practice through code and design reviews, CI/CD, MLOps, observability and on-call
Build strong relationships with senior leaders and partner teams, explaining progress, trade-offs and impact in plain language
Contribute to our wider AI and ML community and help keep a culture of learning, curiosity and experimentation
We’d love to hear from you if you have... 🔎
Experience line-managing engineers, including hiring, performance management and career development
A strong background as an ML engineer, with a track record of taking models into production and keeping them healthy at scale
Requirements
- ·Experience line-managing engineers, including hiring, performance management and career development
- ·A strong background as an ML engineer, with a track record of taking models into production and keeping them healthy at scale
- ·Enough grounding in data engineering (pipelines, data modelling and data quality) to lead data engineers as well as ML engineers
- ·Solid Python and software engineering fundamentals, with enough hands-on depth to review code and designs credibly
- ·Depth in at least one area such as ranking and recommendation, predictive modelling, optimisation or NLP, backed by a solid grasp of statistics, experimentation and feature engineering
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 9d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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