Trainline plc

Trainline plc is seeking an IT Support Analyst to be the face of Workplace Technology, providing essential support through active ticket management and troubleshooting. You'll work closely with our internal teams to ensure seamless operations and enhance employee experiences. The role demands a dynamic approach, solid knowledge of IT systems, and the capability to work onsite minimum 60% of the time. Enjoy perks like private healthcare, a generous work-from-abroad policy, and a commitment to career growth.

As an IT Support Analyst at Trainline, you will be responsible for Ticket lifecycle management through active dashboard monitoring, workload management and reporting Proactive Incident resolution within SLA, working closely with Tier 3 teams for technical direction and escalation management Proactive troubleshooting, diagnostics and root cause analysis Progression of Service Requests with a focus on customer service End-user initial engagement through our ITSM ticketing platform, collaboration apps and onsite Tech Bar. You're the face of Workplace Technology for our internal Trainliners! IT Asset Management - inventory control leveraging supporting toolsets, h/w refresh in line with policy, secure disposal compliance, CSIP discipline to mature lifecycle management Seamless on/off-boarding for joiners & leavers: laptop builds, IT inductions, IAM compliance, deprovisioning and timely asset retrieval, driving process efficiencies in collaboration with the People & Workplace stakeholders Meeting room AV/VC support, leveraging remote administration tools to maintain ongoing health of media services solutions - regular checks, updates and performance analytics In-person and remote technical support for internal events Implementation of and adherence to security standards in line with ISO standards Establishing and actively maintaining strong relationships across the wider team, key stakeholders and our Trainline community Contribution to and maintenance of knowledge management Promoting teamwork and knowledge sharing Optimising process efficiency through proposed use of automation, AI & ML Contribution to audit and compliance reviews (PCI. Internal) Our Tech Stack requires solid experience of Windows 11 and Apple ecosystem in an enterprise environment (+ working knowledge of Android & Linux) Mobile Device Management systems, strategies, deployments (JAMF & Intune) SaaS applications including M365, Slack and Atlassian products SaaS based solutions and Cloud migration strategies Active Directory & Azure Active Directory PCI-DSS, ISO 20071 & IT Governance Networks, TCP/IP, DNS, DHCP, including LAN, WAN and wireless networks Basic understanding of Windows Command Line/PowerShell & Apple Scripting/BASH Security tools and best practices Runbook implementation and development of technical documentation ITSM ticketing toolsets, lifecycle ticket management & associated reporting Video Conferencing solutions and associated hardware / software Modern workplace solutions such as Autopilot, InTune and MFA Platform integrations, SSO/SAML Cloud printing solutions Desirable certifications Microsoft 365 Certified: Endpoint Administrator Associate (MD 102) Apple certifications for MacOS such as ACSP (ACTC), JAMF 100 CompTIA A+ We'd love to hear from you if you have a dynamic and proactive approach to IT Support exhibit exceptional customer service with a focus on Employee Experience resolve issues efficiently, prioritising business continuity work autonomously and confidently to agreed practices and procedures are happy to work onsite as determined by business need and priority demonstrate business acumen resulting in the ability to identify priorities and act accordingly If you love working in IT, are comfortable working with all levels of the organisation and are highly self motivated, this could be the role for you! The interview process Recruiter Call Competency based interview with 2x Engineers (45 mins) Panel interview with key Workplace Technology stakeholders (30 mins) 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 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.

Trainline plc is seeking a Machine Learning Engineer to join their team in Greater London. The role involves designing and delivering machine learning models, collaborating with data scientists and engineers, and owning the complete machine learning lifecycle. Ideal candidates will have an advanced degree in Computer Science or similar, proficiency in Python, and experience with Spark and DevOps technologies. Benefits include private health insurance and a flexible hybrid work model.

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. Machine learning and 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 recommendation 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 About the role We are looking for Machine Learning Engineers to join our team to 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. Key responsibilities 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 enable the acceleration of our ML & AI product delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation What we're looking for 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) 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 broad 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, retrieval augmented generation, agents) Experience with graph technology and/or algorithms Benefits and working conditions We offer private health and dental insurance, a generous work from abroad policy, 2 for 1 share purchase plans, an EV scheme, extra festive time off, and family friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets and regular learning days. We operate a hybrid model, asking that Trainliners work from the office a minimum of 60 % of the time over a 12 week period, and we also have a 28 day work from abroad policy. Equal Opportunity Employer We know that having a diverse team makes us better and helps us succeed. We are committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.