But why should you join? You will be working in a high performing and collaborative multi-cultural team. We have over 42 nationalities across our 5 offices in London, Paris, Edinburgh, Barcelona and Milan who work closely together. We want our people to stretch their minds, abilities, and share their knowledge. Each year we hold The Trainline Tech Summit, which provides Trainliners with an opportunity to stand up and share their story, learnings, or new skills with their colleagues in a safe environment. We've always paid special attention to flexible working as we value a strong work/life balance. The pandemic has taught us that a balance between remote working and being in a collaborative office environment leads to productive teams. We prioritise the focus on being one team over elevating the heroics of an individual, for us the true heroes are those who are excellent at nurturing, coaching and generous in sharing their knowledge with others. Everything that we do takes into account the morale of every member of our team, their opportunities for growth and for participation in exciting challenges.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

You'd be hard pushed to have a conversation about technology today that doesn't mention artificial intelligence (AI) at some point. The technology has massive potential to shape and enhance our working and personal lives, but for all the pros, some remained worried about the downsides. With talk of job loss a result of increased use of AI, should we be that concerned? Perhaps not if analyst firm Gartner's predictions are to be believed. It reckons that AI will eliminate 1.8 million jobs. The good news is that AI will also be responsible for creating 2.3 million jobs by 2020.

Throughout 2018, PhocusWire brought you in-depth coverage of some of the critical topics impacting travel, organized by a different theme each month. As we prepare for 2018 to end and a new year to begin, we are revisiting these themes. We'll look back on key developments of the past 12 months and look ahead, with additional perspective from the topical experts we interviewed throughout the year. In April our theme was artificial intelligence. We examined at how global distribution systems are incorporating AI into their platforms and processes, with input from Amadeus, Sabre and Travelport.

Investment in data is helping Trainline to build innovative solutions that deliver customer value in the fast-growing rail sector. In the past year alone, the data team at Trainline has grown from ten to around 50 people. "All of that data investment," says Fergus Weldon, Trainline's director of data science, and EyeforTravel Amsterdam keynoter, "goes into building innovations to make journeys simpler, smarter and smoother for travellers". Across the rail industry, investment is accelerating, and not surprisingly. According to US-based Grand View Research, the rail market is growing at around six per cent a year, and is forecast to reach $830 billion by 2025.

When looking for examples of digital innovation, few of us would think of public transport. But it turns out the sector is a rich source of use cases for big data, open APIs and even artificial intelligence. In a major city like London or Paris, there are millions of travelers every day who need accurate, timely information about the current schedules of thousands of buses, trams and trains. Getting that information to them on their smartphones has taken a lot of foresight, creativity and graft over the years, and the innovation continues today. In one example launched in Britain last month, rail booking service Trainline has begun using AI to generate personalized alerts about travel disruption to users of its mobile app.

Is emotional AI really the next frontier for artificial intelligence? In Do Androids Dream of Electric Sheep, author Philip K Dick questions the notion that an artificial brain could ever be capable of understanding emotion. Is it possible for a machine to really ever have an emotional connection with a human if it can't empathise or express emotion itself? What may well have been science fiction in 1968 is now a topic up for debate amongst many within the artificial intelligence industry. As AI advancements march forward, many believe that emotional intelligence is what's next for the industry.

We work with vast quantities of travel data (127,000 journeys are taken by our customers every day) to enhance the travel experience with new, smart innovations. These innovations are designed to help customers in many ways, from saving them money to helping them find the best ticket for their journey in a quick and easy way. One of the projects my team has been working on recently is enhanced disruption notifications for our customers. Soon to launch in beta in our voice app, enhanced disruption notifications use machine learning and natural language processing to'read' the rail operators' Twitter feeds, analyse them and share relevant contextual journey updates matched to the individual traveller. It's a first for the rail industry in the UK and we're really excited to launch it.

To look at the stats you wouldn't think so: Apple has two million of them in its App Store and Google Play has a few hundred thousand more than that. Total app downloads have passed the 150 billion mark. But some are wondering whether apps are about to be replaced by something smaller, smarter and faster. These programs, thanks to AI [artificial intelligence] software in the cloud, can chat to humans via text, extract the meaning and then act on it. Any time you see a live chat box open up on a retailer's website, or order a taxi or flowers through chat platforms such as WeChat and Facebook Messenger, you're most likely talking to a bot.