- 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
- Experience with modern ML infrastructure on a major cloud platform, ideally AWS, covering distributed data processing, orchestration, model management and infrastructure as code
- Hands-on experience shipping agentic or LLM-based systems, including agent orchestration frameworks, tool use, RAG, and fine-tuning where it earns its place
- A disciplined approach to evaluating LLM and agent systems, using tools such as Braintrust, and a clear view on how to know whether an agent is working well in production
- Clear communication with technical and non-technical colleagues, and good judgement on priorities when there’s more to do than people to do it
Our tech stack 💻
We build mostly in Python on AWS, and choose tools for what they do in production rather than for novelty. You don’t need to know all of it on day one.
- Data and compute: S3, Athena, Spark on EMR, SQL
- Orchestration and MLOps: Airflow, MLflow, Docker, ECS, Terraform, GitHub Actions for CI/CD
- Models: foundation models served through Amazon Bedrock
- Agents: LangGraph for orchestration, deployed and run on Amazon Bedrock AgentCore, with MCP for tool integration
- Evaluation: Braintrust for evals, tracing and monitoring agent quality in production
More information
Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!
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. We also have a 28-day Work from Abroad policy.
Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do:
- 💭 Think Big - We're building the future of rail
- ✔️ Own It - We focus on every customer, partner and journey
- 🤝 Travel Together - We're one team
- ♻️ Do Good - We make a positive impact
We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.
Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn https://www.linkedin.com/company/trainline/, Instagram https://www.instagram.com/lifeattrainline/ and Glassdoor https://www.glassdoor.co.uk/Overview/Working-at-Trainline-EI_IE249203.11,20.htm!