Senior Machine Learning Engineer

The Trainline

Whitehall

On-site

GBP 90,000 - 150,000

Full time

11 days ago

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Benefits offered by this job

Private healthcare & dental insurance

Generous work from abroad policy

2-for-1 share purchase plans

EV Scheme to further reduce carbon"

Extra festive time off

Excellent family-friendly benefits

Clear career paths

Transparent pay bands

Personal learning budgets

Regular learning days

Job summary

Trainline, London, is hiring a Senior Machine Learning Engineer to shape the technical direction of ML and AI initiatives across the business. You will work with data scientists, software engineers and product managers to deliver scalable models and data products.

We value deep expertise in Python, ML libraries and productionising ML systems, plus cloud knowledge and a collaborative mindset. The role is hybrid, based in London, with opportunities to influence critical customer experiences.

Qualifications

Advanced degree in CS/Math or related quantitative field.
Strong productionising ML models with predictive modelling or recommender systems.
Proficiency in Python and open-source data libraries.
Experience with Spark and CI/CD practices.

Responsibilities

Design and deploy ML models at scale delivering measurable business impact.
Own end-to-end ML delivery lifecycle from data exploration to deployment.
Collaborate with data scientists, software engineers, and product managers.
Influence architectural and modelling decisions at scale.
Mentor engineers and contribute to ML community.

Skills

Python

Pandas

NumPy

Scikit-learn

Spark

CI/CD

Cloud platforms

Data storytelling

Education

Advanced degree in Computer Science/Math or related field

Tools

Docker

Terraform

MLFlow

Job description

About us

We are champions of rail, inspired to build a greener, more sustainable future of travel. 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. Now Europe's number 1 downloaded rail app, with over 135 million monthly visits and 6.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we’re a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Machine Learning and AI Team: Machine learning sits at the heart of Trainline’s mission to help millions of people make sustainable travel choices every day. Our models power some of the most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline.
As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play a key role in shaping technical direction and influencing stakeholders across the business, while helping to raise the capability of those around you. In this role as the Senior Machine Learning Engineer, you will...

Responsibilities

Work within cross-functional teams alongside data scientists, software engineers, data engineers and product managers

Design and deliver machine learning models at scale that create measurable impact for the business

Own the end-to-end machine learning delivery lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance

Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale

Partner with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms

Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows

Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility

Take an active role in our AI and ML community, helping foster a culture of rigorous learning and experimentation

Requirements

An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience

Considerable experience productionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systems

Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn

A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques

Experience with Spark, agile delivery methods and CI/CD practices

Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow

Confidence influencing and communicating with stakeholders across technical and non-technical teams

Ideally, exposure to cloud infrastructure, NLP or large language models (such as fine-tuning, RAG or agents), graph technologies, or experience in the transport sector or with geographic information systems (GIS)

Perks

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

excellent family-friendly benefits

clear career paths

transparent pay bands

personal learning budgets

regular learning days

Working conditions

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.

Values

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

Diversity & inclusion

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.

Location