About us
At Trainline, our purpose is to empower greener travel choices, connecting people and places. 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 🚄
We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.
Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.
We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.
Introducing the Trainline Customer Growth Team 👋
We're looking for a Senior Engineering Manager to lead engineering within our Customer Growth pillar, on the Value and Growth side of the business. You'll oversee an organisation comprising Engineering Managers and multiple fullstack squads, spanning web, backend and mobile, our current focus is across railcards growth, railcards retention and adoption, subscriptions, and customer value exchange, which shapes how we structure and present our offering to customers.
You'll partner closely with Product, Design, Data and Commercial to align technical delivery with business outcomes and play a key role in how Trainline communicates value and pricing to customers. We're looking for a leader who can bring together several distinct but connected domains, empower their teams, and balance commercial impact with customer-first thinking.
In this role as the Senior Engineering Manager, you will... 🚄
Lead multiple squads and their Engineering Managers, supporting career development through coaching and performance conversations
Own end-to-end delivery across your squads, helping ensure projects are planned, executed and delivered to a high standard and on time
Partner closely with Product, Design, Data and Commercial to align technical delivery with business outcomes, using domain expertise to guide teams toward high-impact opportunities
Guide technical direction and architecture across fullstack web, backend and mobile squads, without needing to be deeply hands-on with code
Bring coherence across distinct areas, railcards growth and retention, subscriptions and customer value exchange, ensuring technical strategy connects them where it matters
Champion engineering best practices across teams, promoting quality and a culture of technical innovation
Drive operational excellence, ensuring teams have robust monitoring, alerting and incident management processes in place
We'd love to hear from you if you have... 🔍
Experience leading engineering teams and delivering complex, multi-team initiatives
A strong track record of developing people, building high-performing teams and growing future leaders
The ability to inspire trust and autonomy at all levels, fostering a positive, inclusive and high-performing team culture
Comfort operating across multiple, distinct product domains and connecting them into a coherent technical strategy
Enjoyment working in a dynamic, collaborative and highly cross-functional environment
Strong written and verbal communication skills, with the ability to influence at all levels of the organisation
Confidence leading through ambiguity, creating clarity and momentum in complex or uncertain situations
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!
Compensation: £120K – £135K • Offers Equity • Offers Bonus
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Posted: 2026-10-17
About us
At Trainline, our purpose is to empower greener travel choices, connecting people and places. 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 🚄
We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.
Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.
We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.
Introducing the Trainline Machine Learning and AI Team 👋
Machine learning is at the heart of Trainline’s mission to help millions of people make sustainable travel choices every day. Our models and AI agents support customers when journeys go wrong, power search and recommendations across our apps and website, find the best fares through pricing and routing optimisation, personalise the experience with generative AI, and make our digital marketing smarter. Our teams own the full lifecycle from idea to production, and work closely with colleagues across the business to grow the impact of ML and AI at Trainline.
We’re looking for a Machine Learning Engineering Manager to lead a team of 7 ML engineers and data engineers within our Core Experience pillar, which covers Search, Supply and Commerce. Your team’s work sits at the centre of how customers find, compare and buy their tickets. You’ll be accountable for what your team ships and how it ships it: the quality of the systems, the pace of delivery and the growth of the people building them. You’ll work alongside data scientists, software engineers and product managers. You’ll stay close enough to the technical work to make good calls on architecture, trade-offs and risk. What unites us is curiosity, a love of what we do and a desire to make sustainable travel the easy choice.
In this role, you will... 🚄
Lead, coach and grow a team of ML and data engineers. That means setting clear expectations, giving regular feedback, managing performance and building an inclusive team where people do their best work
Hire for the team, shaping the roles we need and running a fair, rigorous interview process
Own delivery: plan and prioritise with your product partners across Search, Supply and Commerce, unblock the team, and ship ML and AI systems that move measurable customer and business outcomes
Set the technical direction for your team’s systems, including architecture, build-versus-buy, and knowing when a simpler approach beats a more sophisticated one
Make sure the team builds well across the whole lifecycle: reliable data pipelines, high-quality features, rigorous offline and online evaluation (including A/B testing), reliable deployment, monitoring and ongoing maintenance
Lead the team in building production-grade agentic systems, using orchestration harnesses such as LangGraph to design multi-step workflows, tool use and human-in-the-loop controls
Make evaluation a first-class engineering discipline for LLM and agent work. That means curated eval sets, LLM-as-judge and human review, tracing, regression testing of prompts and agents, and online monitoring of quality, cost and latency
Set the guardrails for responsible use of AI, covering safety, privacy and clear fallbacks when an agent shouldn’t act on its own
Raise the bar on engineering practice through code and design reviews, CI/CD, MLOps, observability and on-call
Build strong relationships with senior leaders and partner teams, explaining progress, trade-offs and impact in plain language
Contribute to our wider AI and ML community and help keep a culture of learning, curiosity and experimentation
We’d love to hear from you if you have... 🔎
Experience line-managing engineers, including hiring, performance management and career development
A strong background as an ML engineer, with a track record of taking models into production and keeping them healthy at scale
Enough grounding in data engineering (pipelines, data modelling and data quality) to lead data engineers as well as ML engineers
Solid Python and software engineering fundamentals, with enough hands-on depth to review code and designs credibly
Depth in at least one area such as ranking and recommendation, predictive modelling, optimisation or NLP, backed by a solid grasp of statistics, experimentation and feature engineering
Experience with modern ML infrastructure on a major cloud platform, ideally AWS, covering distributed data processing, orchestration, model management and infrastructure as code
Hands-on experience shipping agentic or LLM-based systems, including agent orchestration frameworks, tool use, RAG, and fine-tuning where it earns its place
A disciplined approach to evaluating LLM and agent systems, using tools such as Braintrust, and a clear view on how to know whether an agent is working well in production
Clear communication with technical and non-technical colleagues, and good judgement on priorities when there’s more to do than people to do it
Our tech stack 💻
We build mostly in Python on AWS, and choose tools for what they do in production rather than for novelty. You don’t need to know all of it on day one.
Data and compute: S3, Athena, Spark on EMR, SQL
Orchestration and MLOps: Airflow, MLflow, Docker, ECS, Terraform, GitHub Actions for CI/CD
Models: foundation models served through Amazon Bedrock
Agents: LangGraph for orchestration, deployed and run on Amazon Bedrock AgentCore, with MCP for tool integration
Evaluation: Braintrust for evals, tracing and monitoring agent quality in production
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!
Find Jobs in United Kingdom on Arbeitnow
Posted: 2026-10-17
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Posted: 2026-10-21
You live and breathe creator marketing. You understand how it really works today, and you're hungry to shape where it goes next. As a Manager in Influencer Marketing at Pulse, you'll have every opportunity to succeed, both operationally and as a team leader. You'll independently run our campaigns from concept to execution to reporting: turning a client brief into an original creative idea, casting the right creators to bring it to life, and proving the impact with data. We love what we do and are constantly evolving. Do you have the right drive? Then start a new chapter of your career with us.
Exactly what you’ve been looking for? Then show us how much PULSE POWER you’ve got and send us your application.
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Posted: 2026-10-20
We’re looking for a passionate Forward Deployed Engineer to join our team at STRATOS – someone eager to sit at the intersection of cutting-edge technology and real-world impact.
As a Forward Deployed Engineer, you’ll work shoulder-to-shoulder with industry leaders to embed our platform deep into their operations – transforming strategic intent into live systems that drive measurable results. In today’s world, where the last mile of implementation creates the competitive moat, you’ll be the catalyst turning software into scale.
About Us
At STRATOS Technologies, we are transforming how companies make data-driven decisions with our innovative Strategy Operating System. Our software integrates complex datasets into a unified solution, enabling businesses to strengthen their long-term strategies through clear and actionable insights.
Our founders, former business and tech executives who led a $1B division at a Fortune 500 industrial company, originally built a digital twin of their enterprise to drive synchronized planning and execution. Seeing the market’s lack of such a system, they launched STRATOS in 2022 with a bold mission: to build the world’s first strategy operating system that unifies all internal and external data into a single platform.
Today, STRATOS is a category-defining, rapidly growing startup funded extensively by high-profile investors (e.g., Accel) and trusted by nearly a dozen global industrial leaders and Fortune 500 customers. Our software integrates complex datasets into a unified solution, combining deep data integration, best-in-class workflows, and cutting-edge generative AI.
From commercial AI agents to embedded intelligence that supercharges lean teams, STRATOS enables businesses to achieve 10x productivity and strengthen long-term strategies through actionable insights. We are now expanding our team to accelerate our growth even further and help our customers outperform their competition.
Why Forward Deployed Engineering
While we have a scalable technology backbone, we believe that Forward Deployed Engineering is the future of differentiated B2B SaaS in the GenAI age. Rather than shipping static tools, we partner closely with customers to deliver dynamic, tailored solutions where value is created in the implementation layer – not just the codebase.
Ensure client implementations are working successfully
Solve our customers’ hardest business challenges by adapting and deploying the STRATOS platform to their needs
Design and implement scalable generative AI workflows using platforms like Palantir AIP
Execute complex data integration using PySpark and other distributed technologies
Collaborate directly with clients to understand context, priorities, and key outcome
0-4 years of solid experience in data engineering or analytics.
Experience at start-up companies and/or an excitement to experience first-hand the adventure that comes with a fast-scaling tech company, alternatively experience at a top-tier consultancy.
The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines
Excellent knowledge of PySpark, Python and SQL fundamentals
The ability to get to grips with new technologies quickly
Preferred Skills and Qualifications
Experience in dashboarding tools, Typescript and API development
Familiarity with Airflow, DBT, Databricks
Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems
Equity through our stock option programme, so you share in the long-term success and growth of the company
A highly competitive salary
Direct access to Fortune 500 executives from your first months, at a level most people wait a decade for
Work alongside former MBB consultants and Fortune 500 executives who will teach you directly — our team is small enough that this happens in person, not through a training curriculum
Private healthcare
Pension scheme
25 days of annual leave, plus bank holidays
Work from abroad — up to four weeks a year, and up to two weeks at a time
Hybrid office policy, with visa sponsorship available
A company committed to social and environmental responsibility — we pledge to be a net-zero CO₂ company and donate 1% of our revenue to social causes
Practicalities
London-based, 3 days a week in our Farringdon office
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Posted: 2026-10-20
We're building the future of social and strategy is at the heart of it. As Manager Strategy at Pulse Advertising, you'll lead the development of bold, insight-driven social media, influencer, and paid social strategies for a diverse portfolio of global clients. You'll bring together data, culture, and creativity to shape work that actually moves brands forward with AI as a core part of your toolkit, not an afterthought.
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Posted: 2026-10-20