Machine Learning Engineer at Trainline | London

About UsAt Trainline, we are committed to revolutionizing travel by fostering a sustainable future. Our platform empowers millions of travelers to discover and book the most cost-effective tickets across various carriers and fares, utilizing our highly-rated mobile app, website, and B2B partner channels.Join Us on Our Journey As Europe’s leading downloaded rail app, we experience over 125 million monthly visits and facilitate £5.9 billion in annual ticket sales. Collaborating with over 270 rail and coach companies across more than 40 countries, we strive to make travel simple, seamless, eco-friendly, and affordable.As a FTSE 250 company, our diverse team of over 1,000 Trainliners hails from more than 50 nationalities and operates from key cities including London, Paris, Barcelona, Milan, Edinburgh, and Madrid. With a focus on growth across the UK and Europe, now is the ideal time to join us on this exhilarating journey.Elevating Machine Learning & AI at Trainline Machine learning is pivotal to our mission of enabling millions to make sustainable travel choices daily. Within our AI & ML community, we develop and maintain production-grade systems that enhance search, pricing, personalization, and marketing optimization while increasingly deploying intelligent AI agents to transform customer support and journey discovery.You will collaborate with a dynamic team of Machine Learning Engineers and Data Engineers on innovative GenAI initiatives, including our Travel Assistant—an AI-driven tool that assists customers with refunds, journey updates, and ticket conditions, alongside developing Voice AI agents for effective customer query handling.Our team merges robust ML principles with the latest LLM frameworks (LangGraph, LangChain), RAG architectures, MCP integrations, and production monitoring tools such as Braintrust, all deployed on AWS. We foster an environment that values ownership, curiosity, and thoughtful experimentation.Role OverviewIn this role, you will focus on the design, development, and operation of LLM-powered and predictive ML systems in production. You will work on AI systems like our Travel Assistant and Voice AI initiatives while contributing to traditional ML services owned by the team.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.

Join our dynamic team at Trainline as a Data Scientist, where you will leverage data to drive insights and influence strategic decisions. You will work with cross-functional teams to develop models that enhance our customer experience and optimize our operations. If you have a passion for data and want to make a real impact in the travel industry, this is the opportunity for you!

Join Trainline as a Machine Learning Engineer, where you will leverage your expertise in machine learning to enhance travel experiences for our users. You will be responsible for developing and deploying models that optimize user interactions and improve service efficiency. Collaborate with cross-functional teams to integrate advanced data analytics into our platforms, ensuring a seamless travel experience.

Join trainline as a Machine Learning Engineering Manager and lead innovative projects in the supply chain sector. You will be responsible for guiding a team of talented engineers to develop cutting-edge machine learning solutions that optimize our operations and enhance customer experience. Your expertise will help drive data-driven decision making and improve efficiency across various processes.

About UsAt Trainline, we are passionate advocates for rail travel, dedicated to creating a greener and more sustainable future for travel. Our platform empowers millions of travelers to discover and book the most cost-effective tickets across various carriers, fares, and journey options through our highly-rated mobile app, website, and B2B partner channels.Join Us in Creating Great Journeys As Europe’s leading rail app, we attract over 125 million monthly visits and facilitate £5.9 billion in annual ticket sales. Collaborating with over 270 rail and coach companies across more than 40 countries, we envision a world where travel is simple, seamless, eco-friendly, and affordable. Today, as a FTSE 250 company, our diverse team of over 1,000 Trainliners from 50+ nationalities is based in London, Paris, Barcelona, Milan, Edinburgh, and Madrid. With a strong focus on growth in the UK and Europe, this is an exciting time to join us on this high-speed journey.Introducing the Reliability & Operations Engineering Team Trainline is at the forefront of technology, delivering world-class digital experiences for millions of customers. Our platform predominantly operates on AWS, utilizing cloud-native architecture, modern CI/CD pipelines, and robust DevOps and SRE methodologies.The Reliability & Operations Engineering team (ReliabilityOps) integrates SRE, Incident Management, and Database Reliability to ensure our platform remains observable, reliable, scalable, and resilient. We work closely with product engineering teams to facilitate safe delivery, respond to incidents, and consistently enhance system reliability.We are in search of a mid-level Site Reliability Engineer who will be instrumental in driving our initiatives forward. You will bring solid production experience, a growth mindset, and a readiness to challenge and be challenged, all while contributing to platform reliability and developing broader technical ownership with guidance from senior engineers.

Join our dynamic team at Trainline as a Data Analyst! In this pivotal role, you will leverage data to drive insights that influence strategic decisions. Your analytical expertise will help optimize our operations and enhance customer experiences. Collaborate with cross-functional teams and utilize advanced data analysis techniques to uncover trends and present actionable recommendations.

Join Trainline as a Senior Finance Manager, where you will play a pivotal role in shaping our financial strategies and driving operational excellence. You will lead a dynamic team, ensuring financial accuracy and compliance while enhancing our budgeting and forecasting processes. Your expertise will be instrumental in optimizing our financial performance, providing valuable insights to guide our business decisions.

About UsAt Trainline, we are passionate advocates for rail travel, dedicated to crafting a sustainable and eco-friendly travel future. Our platform empowers millions of travelers to discover and reserve the most cost-effective tickets across various carriers and journey options via our award-winning mobile app, website, and B2B partnerships.Join the Journey with Trainline As Europe's leading rail app, we boast over 125 million monthly visits and generate £5.9 billion in annual ticket sales. Collaborating with over 270 rail and coach companies across more than 40 countries, we aim to make travel simple, seamless, and affordable.With our team of over 1,000 talented individuals from more than 50 nationalities, our offices span London, Paris, Barcelona, Milan, Edinburgh, and Madrid. With growth at the forefront of our mission in the UK and Europe, now is the ideal time to embark on this exciting journey with us.The Data Engineering Team at Trainline As a Principal Data Engineer, you will serve as a senior technical leader, working across various teams to instill best practices, elevate engineering standards, and drive ambitious data, ML, and AI projects.You will proactively identify high-impact challenges across cross-functional squads, collaborating closely with Machine Learning Engineers (MLEs), ML Engineering Managers, and Product and Platform teams to create robust, scalable, and future-proof data foundations for ML-driven products, including our innovative Travel Assistant.Embedded Data Engineering (Embedded DE) is a vital aspect of your role. You will integrate within ML-led teams, shaping architecture, guiding implementation, and ensuring alignment between Data Engineering and ML Engineering best practices across Trainline.Key Responsibilities as a Principal Data Engineer: Act as a technical authority across multiple teams, establishing standards and frameworks for data and ML-adjacent infrastructure.Collaborate with ML teams to design, develop, and enhance data platforms that support AI and ML workloads.Influence technical direction while not holding direct line management responsibility.Partner with the Data Engineering team to drive excellence in data management practices.

Join Our Team as a Staff Machine Learning EngineerBecome an integral part of Deliveroo’s mission to revolutionize the shopping and dining experience with a focus on impact, innovation, and growth. Our talented Engineering teams tackle intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to millions of customers, riders, and partners daily.From advanced real-time logistics to robust infrastructure and marketplace optimization, we create and manage the technology that fuels Deliveroo’s expansive growth.We are seeking a Staff Machine Learning Engineer to join our dynamic London team (working in a hybrid model, 3 days in the office). In this pivotal role, you will design and construct intelligent decision-making systems that operate at a large scale, directly influencing the experiences of consumers, riders, and merchants.Explore our Engineering team and discover our motivations, work culture, and what you can expect as part of our community.Your ResponsibilitiesJoin the Consumer Pricing team to tackle complex pricing challenges at Deliveroo. We are advancing towards dynamic, personalized pricing strategies that take into account consumer behavior, loyalty programs, and real-time market conditions.Your daily tasks will include:Designing and developing high-performance machine learning and optimization systems that guide Deliveroo’s core decisions at scale.Leading the technical advancement of our pricing infrastructure, resolving architectural bottlenecks and integrating enhanced model inputs and decision variables.Creating algorithms to enhance real-time marketplace efficiency, including personalized elasticity models and delivery time forecasts.Collaborating closely with Product Managers and Data Scientists to convert complex business challenges into effective algorithmic solutions.Providing technical leadership across various product domains, identifying and prioritizing high-impact algorithmic enhancements.Mentoring and guiding fellow engineers, elevating technical standards and advancing our machine learning and optimization practices across the company.Qualifications for SuccessThe ideal candidate will possess strong expertise in several of the following areas, along with a desire to grow in others:

Role overview Trainline is looking for a Senior Product Manager to join the TPS team in London. This role leads the direction of travel technology products, working closely with teams across the business to set product vision and strategy. What you will do Define and maintain product roadmaps for the TPS area Prioritize features based on business goals and user needs Work with engineers, designers, and stakeholders to deliver valuable updates Gather and analyze customer feedback, turning it into practical product improvements

Join our dynamic team at Trainline as a Junior Ruby Engineer! This is an exciting opportunity for those looking to kickstart their career in software development. You will collaborate with a talented group of engineers to design, develop, and maintain innovative applications that streamline travel for millions of users.As part of our London-based team, you will be immersed in a culture of learning and growth, where your contributions will have a real impact on our products and services. We are looking for a passionate individual who thrives in a collaborative environment and is eager to learn from experienced developers.

About UsAt Trainline, we are advocates for rail travel, dedicated to creating a sustainable future for all travelers. Our platform empowers millions to discover and book the most cost-effective ticket options across various carriers through our award-winning mobile app, website, and B2B partner networks.Join Us on Our Journey As Europe’s leading rail app, we boast over 125 million monthly visits and an impressive £5.9 billion in annual ticket sales. We partner with more than 270 rail and coach companies across over 40 countries, striving to make travel straightforward, eco-friendly, and affordable.With our headquarters in London and teams spanning across Paris, Barcelona, Milan, Edinburgh, and Madrid, we are a FTSE 250 company fueled by a diverse team of over 1,000 professionals from 50+ nationalities. As we continue to expand our footprint in the UK and Europe, now is an excellent time to join our high-speed journey.About Trainline Partner SolutionsThe Strategic Business Development Manager role is positioned within the B2B Distribution’s Channel Partners & Business Development Team at Trainline Partner Solutions. Here, we collaborate with Online Booking Tools (OBT) and Global Distribution Systems (GDS) to provide access to rail content across multiple markets, enabling Travel Management Companies (TMC) and their corporate clients to book rail travel effortlessly.As the Strategic Business Development Manager, you will play a crucial role in nurturing and expanding relationships with key channel partners. This position encompasses managing existing accounts while also driving new sales opportunities through these partnerships, specifically focusing on the DACH region.You will act as the primary liaison between Trainline and our partners, facilitating strategic relationships to ensure a mutually beneficial rail offering. Key responsibilities include identifying, negotiating, and securing new opportunities, collaborating with channel partners to enhance rail bookings, and exploring new leisure travel markets such as OTAs, MaaS, and Tour Operators.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global customers, we have consistently demonstrated how human-centric AI can transform organizational performance. Discover our real-world impact here.We steer clear of fleeting trends and instead focus on innovating, constructing, and deploying responsible AI that delivers tangible results. Our extensive expertise spans technical, product, and delivery aspects, serving clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our company and reputation continue to expand rapidly, we are eager to find individuals who share our intellectual curiosity and ambition to create a meaningful legacy through technology.Join us in harnessing AI's potential to craft powerful applications that can change the world.About Our TeamAt Faculty, our Life Sciences team focuses on developing AI solutions that streamline the research and commercialization processes for groundbreaking therapies. We collaborate with leading pharmaceutical companies, academic institutions, and MedTech startups to create solutions that address pressing healthcare challenges and promote equitable health access.Your Role:As a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our varied clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This dynamic, cross-functional role requires a unique combination of technical skills, engineering leadership, and client engagement capabilities.Key Responsibilities:Lead the technical scoping and architectural decisions for impactful ML systems.Design and construct production-grade ML software, tools, and scalable infrastructure.Establish and apply best practices and standards for deploying machine learning effectively.

asos seeks a Machine Learning Engineer in London to advance technology solutions in online fashion retail. This role centers on building algorithms that enhance both product features and the customer experience. Key responsibilities Design and develop machine learning models for practical use in the retail sector Use data science methods to strengthen asos’s product offerings Collaborate with various teams to boost the efficiency and performance of core systems Role impact Your technical work will directly influence asos’s customers and day-to-day business. The solutions developed in this position help asos maintain a competitive edge as online fashion evolves.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the pivotal technology of our era. We have partnered with over 350 global clients to enhance their performance through human-centric AI. Our impact is tangible, as detailed here.We steer clear of fleeting trends. Our focus is on innovating, creating, and deploying responsible AI solutions that yield significant results. We offer clients extensive expertise across technical, product, and delivery domains, serving industries such as government, finance, retail, energy, life sciences, and defense.Our business and reputation are expanding rapidly. We seek individuals who share our intellectual curiosity and aim to build a positive legacy through technology.Join us in harnessing AI—an epoch-defining technology—where you will be empowered to envision and implement its most impactful applications.About the TeamThe process of delivering medical solutions involves complexity, cost, and risk. Faculty’s Life Sciences team is dedicated to developing AI solutions that enhance the research and commercialization of transformative therapies.We collaborate with leading pharmaceutical companies, academic research institutions, and MedTech startups to create solutions that address critical healthcare challenges, democratizing access to health for everyone.About the RoleAs a Machine Learning Engineer, you will deliver tailored, impactful AI solutions for our diverse clientele. You will play a crucial role in transitioning machine learning from theoretical frameworks to practical applications, contributing to robust software architecture and establishing best practices. Collaborating closely with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Your Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions to expedite the delivery of ML systems.Working alongside engineers, data scientists, and commercial leaders to address significant client challenges.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the pivotal technology of our age. We have partnered with over 350 global clients, enhancing their performance through innovative, human-centric AI solutions. Discover our real-world impact here.At Faculty, we prioritize sustainable innovation over fleeting trends. Our focus is on developing and deploying responsible AI solutions that truly make a difference. Our expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense, providing our clients with unparalleled technical, product, and delivery proficiency.As our reputation grows, we seek individuals who are intellectually curious and eager to leave a positive mark through technology.Join us in harnessing AI's transformative potential and be a part of a company that empowers you to realize its most impactful applications.About the TeamOur Defence team is dedicated to creating and implementing human-centered AI solutions that enhance our national defense capabilities. Collaborating closely with clients, we deliver ethical and advanced AI solutions for high-stakes scenarios, ensuring the stability of global powers crucial to our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and are expected to work on-site with clients for 2 to 4 days a week, which may involve travel across the UK. When not engaged with clients, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for a diverse range of clients. Your responsibilities will include designing, building, and deploying scalable, production-grade machine learning software and infrastructure that adhere to stringent operational and ethical standards.This role is ambitious and cross-functional, requiring a unique combination of technical acumen, engineering leadership, and strong client-facing abilities.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Since our inception, we have partnered with over 350 clients worldwide, helping them enhance their performance through human-centric AI solutions. Discover our impact here.We are not swayed by fleeting trends; we focus on developing and implementing responsible AI that truly makes a difference. Our expertise spans technical, product, and delivery domains, servicing clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek intellectually curious individuals who are passionate about making a positive impact through technology.Join us in harnessing the power of AI and envisioning its most transformative applications.About Our TeamIn our Professional and Financial Services Business unit, we leverage over a decade of Applied AI experience to assist our clients in navigating an ever-evolving landscape. We create and integrate AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Within the boundaries of highly regulated industries, we see vast potential for significant innovation and are proud to set the benchmark for combining technical excellence with secure deployment.Role OverviewAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our diverse clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This is a dynamic, cross-functional role that demands a mix of technical prowess, engineering leadership, and strong client engagement skills.Key Responsibilities:Overseeing technical scoping and architectural decisions for impactful ML systems.Crafting and developing production-ready ML software and infrastructure.

Waymo, an innovative leader in autonomous driving technology, aims to become the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service, having successfully completed over ten million rides, leveraging extensive experience from over 100 million miles driven on public roads and tens of billions of simulation miles across 15+ U.S. states.The DUE ML Core London team is at the forefront of developing and managing scalable machine learning systems, simulation workflows, and insightful tools aimed at enhancing evaluation processes and developer onboarding experiences. By integrating expert human insights with state-of-the-art machine learning models, we provide critical training and evaluation data across numerous metrics and components that define the Waymo Driver.We are on the lookout for enthusiastic researchers and software engineers eager to innovate ML methodologies for evaluation systems and propel performance enhancements throughout our technology stack.

Join datatonic as a Machine Learning Engineer and be part of a dynamic team dedicated to leveraging data to drive intelligent decision-making. You will design and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions.