Head of Workplace Technology

Trainline
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer (18 Months FTC)

Senior Data Analyst - HOTH, Permanent

Process & Performance Data Analyst

Business / Data Analyst

Lead Data Engineer

Senior Machine Learning Engineer

Job Description

Head of Workplace TechnologyLondon (Hybrid, 40% in office) £Salary + Bonus + Benefits 

Introducing the Technology Team at Trainline   

Our Technology Team owns all parts of the corporate technology used within Trainline, from our consumer facing products, our business solutions, as well as workplace solutions used within the company. Together, this group delivers best in class technology and collaborate to drive innovative, cost efficient and future proof solutions. 

As Head of Workplace Technology at Trainline, you will...  

  • Contribute to setting the strategic direction of workplace technology, with the support and guidance of your line manager. 

  • Be responsible for overseeing the implementation, and maintenance of IT Systems that support our internal operations, from network infrastructure to workplace IT solutions (Operating Systems, Knowledge, Communication and Collaboration tools). 

  • Lead the End User Computing, System Engineering, and Core Infrastructure & Networks teams, collaborating closely with leadership to ensure that we operate at scale, securely, efficiently and in line with the strategic direction of a growth, tech driven organisation. As part of this, you will ensure that every team member is supported to perform their role and thrive in alignment with Trainline values.  

  • Align technology initiatives with business objectives by collaborating with stakeholders, assessing current systems, identifying gaps and redundancies, and driving strategies that bridge technical capabilities with organisational goals. 

  • Build strong working relationships across the business to drive continual improvement and customer satisfaction, providing clarity, accountability and a clear roadmap for the future of Workplace Technology solutions, incorporating innovation and use of emerging technologies.  

 

Trainline Workplace Technology 

At its core, Workplace Technology has: 

  • Workplace productivity tools: Office 365, Confluence Wiki, Notion 

  • Workplace communication tools: Outlook, Slack, Zoom 

  • Workplace security tools and technology 

  • End user device management tools and technology. 


Qualifications

We'd love to hear from you if you...   

  • Have a passion to lead teams that mix technical knowledge and customer satisfaction 

  • Have a proactive and natural drive to work collaboratively with stakeholders in finance, security, and other functions across all levels to achieve common goals 

  • Have an enthusiasm for driving change and continuous improvement 

Experience 

  • Extensive experience in IT service and support, network operations, or related area including demonstrated experience in a leadership & management role where you have coached and developed team members. 

  • Proven experience managing end-user support and/or network infrastructure in a fast-paced technology sector organisation (or similar).  

  • Experience in delivering and managing change, connecting the dots across various functions and driving maturity. (would likely suit someone who has worked in similar size / growth organisations (c.1000 people). 

Technical Skills 

  • In-depth knowledge of IT service and support and best practices. 

  • Proficiency in tools and platforms for IT support (e.g. ticketing systems) and network monitoring. 

  • Understanding of enterprise-level IT infrastructure, including data centers, networks, servers, and cloud platforms (e.g., AWS, Azure, Google Cloud). 

  • Experience implementing and managing network security, firewalls, encryption, identity management, and access controls. 

  • Experience in managing IT budgets, vendor relationships, and negotiating contracts for hardware, software, and services. 

  • Awareness of emerging technologies (e.g., AI, machine learning, IoT) and their potential application within the workplace IT environment. 

Leadership and Soft Skills 

  • Exceptional leadership and team management skills, with the ability to inspire and motivate team members whilst building a high performing team. 

  • Excellent communication and interpersonal skills to work effectively with technical and non-technical stakeholders. 

  • Strategic thinker with a proactive approach to problem-solving and decision-making. 

  • Strong project management skills, with the ability to prioritise and deliver on multiple initiatives simultaneously. 

 

The interview process   

  1. Call with one of our Talent team

  2. Competency based interview with a senior member of our End User Compute team 

  3. Leadership based interview with a member of our leadership team 

  4. Organisation and vision with the VP of your functional area 



Additional Information

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, 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!

Our values represent the things that matter most to us and what we live and breathe every day, 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

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedInInstagram and Glassdoor.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.