Machine Learning Engineer

Machine Learning Engineer

Orbital

Orbital is an AI-first industrial company building hardware from the atoms up. Our goal is to lead an industrial renaissance to advance critical technologies and secure our planet for generations to come. We’re starting with critical hardware for AI data centers to make them more performant and sustainable. Every Orbital product is invented with our AI platform — uniting AI-automated hardware engineering with AI-designed material science to achieve breakthrough real-world performance. We have an ambitious mission and need excellent people in all our teams - AI research, operations, advanced materials, mechanical engineering, chemical engineering and manufacturing. Working at Orbital means working in tightly integrated, vertically integrated teams. We’re looking for people who have a love of physical technology, curiosity in AI and a desire to learn. As a Machine Learning Engineer at Orbital, you will architect cutting-edge AI systems for the multi-scale design of physical technologies. When we say multi-scale, we mean it: we build world-class foundation models for simulating both the microscopic motion of atoms and the macroscopic flow of liquids in 1GW data centers. We then co-design across these different scales using the ingenuity of our scientists and engineers, augmented with best-in-class domain agents. In this role you will set exceptionally high technical standards and drive projects from prototype through to production deployment. First and foremost, we want to work with someone with a love of craftsmanship, continual learning, and building systems that scale. We also value low ego, and a genuine passion for using AI to solve major global industrial technology challenges. Key Responsibilities Set the technical bar and ensure engineering excellence * Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review * Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements * Drive technical decisions on model selection, training approaches and deployment strategies Deliver high-impact AI projects across diverse domains * Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond * Rapidly upskill in new technical areas through close collaboration with domain experts (no prior chemistry or materials experience required) * Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase * Balance research rigour with pragmatic engineering to deliver production-ready systems at scale Push the frontier of ML research * Design and implement novel ML architectures for complex scientific domains, with work that meets publication standards at top-tier conferences * Drive research projects from conception through to deployment, showing initiative and technical depth * Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning What We're Looking For * Significant software engineering and ML experience, with depth in training, evaluating and deploying AI models - demonstrated through industry work * Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment * Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems * A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs * An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations * A genuine interest in building AI systems that enable breakthrough scientific and industrial applications * Upon reading Hamming's You and Your Research, you resonate with quotes such as: * "Yes, I would like to do first-class work" * "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I've stood on so and so's shoulders and I saw further.'" * "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class" Bonus: Experience with physics-informed or chemistry-focused AI applications. Experience building or fine-tuning large language models. Experience with agent-based systems, tool use or agentic workflows. Contributions to open-source ML projects or published research. Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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.