Machine Learning Engineer

Machine Learning Engineer

Trainline

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 Machine Learning & AI at Trainline 👋 Machine learning and AI are at the core of how Trainline is transforming travel, helping millions of customers make smarter, more sustainable journeys every day. Our ML models and AI solutions power critical aspects of our platform, including: * Advanced search and recommendations capabilities across our mobile and web applications * Pricing and routing optimisations to find the best fares for customers * Personalised user experiences enhanced by agentic AI * Data-driven digital marketing systems * AI agents improving customer support Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. About The Role We are looking for Machine Learning Engineers to join our team help shape the future of train travel. You’ll be joining a high-performing, deeply technical community of Machine Learning Engineers, Data Scientists, and Data Engineers to tackle complex problems by combining Trainline’s rich datasets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline’s goals of encouraging sustainable travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML & AI enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of customers. As a Machine Learning Engineer at Trainline you will... 🚄 * Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers * Design and deliver machine learning models and/or AI solutions at scale that drive measurable impact for Trainline * Own the full end-to-end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance * Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms * Create the tools, frameworks and libraries that enables the acceleration of our ML & AI products delivery and improve our workflows * Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to hear from you if you...🔍 * Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline * Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) * Have experience productionising machine learning models and/or AI solutions * Are an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systems * Have experience with Spark * Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow * Have experience with agile delivery methodologies and CI/CD processes and tools * Have a broad of understanding of data extraction, data manipulation and feature engineering techniques * Are familiar with statistical methodologies * Have great communication skills Nice to have: * Experience with transport industry and/or geographical information systems (GIS) * Experience with cloud infrastructure * Experience with Large Language Models (fine tuning, RAG, agents) * Experience with graph technology and/or algorithms 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, Instagram and Glassdoor!

Machine Learning Engineer

Almedia

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. MACHINE LEARNING ENGINEER £130K – £230K • Offers Equity You’ll take ownership of designing, developing, and scaling impactful, production-grade ML solutions that power Almedia’s products and growth. This is a hands-on role involving active participation in code development and delivery. TYPES OF PROBLEMS YOU’LL BE SOLVING * Designing and optimising user reward schemes based on player behaviour and market shifts * Leading the design and implementation of solutions for personalised, real-time reward values * Developing solutions for identifying underperforming reward campaigns and causes of failure YOUR ROLE * Lead end-to-end delivery: build, deploy, and optimise solutions and services at scale * Provide technical leadership across ML projects, ensuring best practices and high-quality code * Align technical capabilities with business priorities to unlock high-value opportunities * Apply advanced statistical and causal inference methods to ensure robustness and reliability * Partner with product and engineering teams to translate business challenges into predictive, data-driven solutions YOU HAVE * Proven expertise in building, deploying, and maintaining solutions and services in production, ideally in adtech or high-scale environments * Deep knowledge of statistics (A/B testing, regression, probability) * Strong programming background in Python and SQL, with hands-on cloud experience * Ability to mentor and set technical direction for ML engineers and cross-functional peers * Strong communication skills to influence both technical and non-technical stakeholders BONUS POINTS FOR * Passion for gaming and strong understanding of player behaviour * Experience with adtech, monetisation platforms, or the gambling industry * Familiarity with gaming KPIs such as pLTV, retention, and ROAS WHY ALMEDIA? * Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one. * High-Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar. * Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

Machine Learning Engineer

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. ABOUT THE ROLE Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse Financial Services clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. WHAT YOU'LL BE DOING: * Building and deploying production-grade ML software, tools, and infrastructure. * Creating reusable, scalable solutions that accelerate the delivery of ML systems. * Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. * Leading technical scoping and architectural decisions to ensure project feasibility and impact. * Defining and implementing Faculty’s standards for deploying machine learning at scale. * Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. WHO WE'RE LOOKING FOR: * You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. * You possess strong Python skills and solid experience in software engineering best practices. * You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. * You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale * You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. * You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. * You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions Our interview process: 1. Talent Team Screen (30 mins) 2. Pair Programming Interview (90 mins) 3. System Design Interview (90 mins) 4. Commercial Interview (60 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.