Head of Cost Management

​​Senior DevOps Engineer​

Triple Point

Since 2004, we’ve been bringing investment ideas to life and connecting capital with the right people and opportunities. Today, we manage more than £2.5 billion for a broad range of investors across five key investment strategies: Private Credit, Social Housing, Clean Heat, Energy and Venture. These strategies underpin the innovative range of investments we offer to both private (retail) and institutional clients.  There are 230+ employees at Triple Point, all committed to leaving the world demonstrably better than we found it. That’s why we’re a certified B Corp, signed up to the Principles for Responsible Investment, and were named a Sunday Times 'Best Place to Work  2025 & 2026'. If this sounds like an environment where you would flourish, then read on… The Function  The Digital and Technology team designs, builds and maintains the systems that power Triple Point. The function enables seamless connectivity, security and innovation across the organisation, creating tools and platforms that help colleagues and partners work smarter and deliver excellent outcomes.  The Team  This role sits within Technical Operations & Cyber, within the wider Digital and Technology function. The role works closely with colleagues across D&T, our MSP, our SOC and stakeholders across the business. The team is responsible for keeping our technology secure, reliable and high performing while improving delivery pace through automation, cloud engineering and emerging technology.  The Role  We are seeking a Senior DevOps Engineer to lead hands-on DevOps and platform engineering across Triple Point’s Microsoft cloud and AI delivery landscape.  You will design, build and operate secure deployment pipelines, automation, monitoring and infrastructure-as-code patterns that enable cloud and AI workloads to move safely and at pace. As our use of Claude Code, AI agents and automation grows, this role will provide the engineering foundations to run these capabilities reliably, securely and with clear governance.  Working closely with the Head of Technical Operations & Cyber and our Senior Cyber Engineer, you will help enable pragmatic, risk-aware decisions on cloud and AI tooling, ensuring a balance between delivery pace and security, governance and operational sustainability.  This is a delivery-focused role owning engineering work end-to-end, from discovery and design through to implementation, documentation and transition into BAU. You will help remove delivery bottlenecks, strengthen platform maturity and make practical recommendations that balance pace, reliability, security and usability.  Key Responsibilities  DevOps, Cloud Platform & CI/CD Engineering  * Design, build, maintain and improve CI/CD pipelines for cloud, integration, automation and AI workloads.  * Create reusable infrastructure-as-code patterns, templates and standards for secure, consistent cloud deployments.  * Improve release management, environment management and deployment controls across development, test and production environments.  * Support source control, branching, build, test and deployment practices that help teams deliver safely and efficiently.  * Build practical engineering standards for service principals, managed identities, secrets, configuration, certificates and environment separation.    Automation, AI Enablement & Developer Experience  * Enable safe, reliable deployment and operation of Claude Code, AI agents and similar AI-assisted development tooling.  * Automate repeatable operational, deployment and monitoring tasks to reduce manual effort and improve consistency.  * Develop self-service patterns, reusable scripts and documentation that make it easier for colleagues to adopt approved engineering practices.  * Work with current and future AI Team colleagues to lay the technical foundations for agent automation and cloud-based AI delivery.  * Identify opportunities to simplify tooling, reduce friction and improve the developer and stakeholder experience.    Reliability, Monitoring & Operational Readiness  * Design and improve monitoring, logging, alerting and reporting across pipelines, platforms and cloud workloads.  * Create runbooks, deployment checklists and operational handover materials that support effective BAU ownership.  * Support incident response, root-cause analysis and continuous improvement for deployment or platform reliability issues.  * Improve resilience, recovery and performance practices for key services and automation workloads.  * Use data from monitoring and service performance to recommend improvements and prioritise platform work.    Security, Governance & Documentation  * Embed security-by-design into DevOps practices, including least privilege, secure configuration, secrets management and change control.  * Work closely with Technical Operations & Cyber, the SOC and MSP partners to ensure cloud and AI tooling is operated securely.  * Maintain clear documentation of pipeline designs, infrastructure standards, access models, monitoring arrangements and operational guardrails.  * Support audits, assurance activity and evidence gathering where DevOps, cloud or platform controls are in scope.  * Balance security, usability and delivery pace when assessing risks, trade-offs and recommendations.    Collaboration, Planning & Continuous Improvement  * Plan and prioritise DevOps improvements based on impact, value, risk and delivery needs.  * Translate technical complexity into clear recommendations for technical and non-technical stakeholders.  * Partner constructively across Digital and Technology, internal stakeholders and external technology partners.  * Challenge current ways of working where needed and recommend pragmatic improvements with clear rationale.  * Share knowledge generously and help raise DevOps capability across the function and organisation.    Knowledge & Experience  Essential  * Significant hands-on experience in DevOps, platform engineering, cloud engineering or a closely related engineering role.  * Strong experience designing and maintaining CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, GitLab CI or equivalent.  * Good working knowledge of Microsoft Azure and Microsoft cloud services, including deployment, access, monitoring and governance considerations.  * Experience with infrastructure-as-code and automation tools such as Terraform, Bicep, ARM templates, PowerShell or equivalent.  * Proficiency in Python for scripting, automation and tooling able to write, read and maintain production-quality scripts, not just adapt examples.  * Working knowledge of core Azure networking concepts, including VNets, NSGs, DNS, private endpoints and load balancers, with practical experience applying these in cloud and containerised workloads.  * Strong understanding of Git, source control workflows, release management, environment management and secure software delivery practices.  * Experience implementing monitoring, logging and alerting for cloud platforms, pipelines or application workloads.  * Strong grounding in cloud security principles, including identity and access, least privilege, secrets management, network security and secure configuration.  * Awareness of cloud cost management principles, including resource tagging standards, right-sizing, and governance for spend able to recommend efficient, cost-conscious approaches rather than just functional ones.  * Ability to translate technical requirements and risk considerations into pragmatic, well-documented engineering solutions.  * Comfortable working with the Head of Technical Operations & Cyber to make pragmatic, risk-aware decisions that balance delivery pace with security and governance requirements.  * Excellent communication skills, with the ability to work effectively with technical teams, senior stakeholders and external partners.  * A self-starter mindset, with strong planning, problem-solving and ownership of delivery outcomes.    Desirable  AI & Automation  * Experience deploying, governing or operating AI-assisted development tools, agent automation or cloud-based AI workloads.  Microsoft Platform  * Experience working with Microsoft 365, Entra ID, Intune, Sentinel, Azure Monitor, Log Analytics or similar Microsoft tooling.  * Relevant certifications such as AZ-400, AZ-104, AZ-305, AZ-500, Terraform Associate, GitHub certifications or equivalent hands-on experience.  Containers & Orchestration  * Experience with containers and orchestration technologies such as Docker, Kubernetes or Azure Container Apps.  Broader Platform & Integrations  * Experience supporting Salesforce, data platform, integration or business automation workloads.  Regulated Environments  * Experience working in a regulated services environment, ideally FCA-regulated.  Why Join us?  This is a key role at the point where DevOps, cloud automation and AI capability are becoming central to how Triple Point delivers technology safely and effectively.  * You’ll join a talented, collaborative team in a connected environment where ideas and initiative are valued.  * Be part of a growing and innovative team.  * We offer a competitive salary, a comprehensive benefits package, and genuine opportunities for growth and progression.  * Opportunities for professional development and career progression.  At Triple Point, high performance means living our values every day:  * Stay Curious.  * Be Generous.  * Take Thoughtful Action.  * Pull Together.  * Own It.  In line with our values Stay Curious and Take Thoughtful Action every employee has access to AI tools.  We see technology as a co-pilot, helping us improve efficiency and insight while keeping decisions grounded in thoughtful human judgement.  Triple Point offers a wealth of benefits including a contributory pension, hybrid/flexible working and ongoing learning and development opportunities. Check out our comprehensive list of benefits HERE.  Apply today for further information! Triple Point is dedicated to providing fair and equal opportunities for all individuals, including both current and potential employees. Discrimination of any kind based on factors such as age, disability, gender, sexual orientation, pregnancy, race, ethnicity, religion, gender identity, or marital status is not tolerated by the company. Our aim is to create a welcoming and diverse work environment where people from all walks of life feel valued and supported. We actively encourage individuals from various backgrounds to apply for job vacancies and become part of our team.  STRICTLY NO AGENCIES

Head of FP&A

Teya

Hello. We’re Teya. Teya was founded on a simple belief: local businesses deserve better. They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business. Teya exists to change that. We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work. We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand. If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you Your Mission We are seeking a Head of FP&A and Investor Relations to lead Teya’s financial planning, performance management, and external communications with investors. This individual will be a key partner to the CFO, CEO, and leadership team, shaping our financial strategy while ensuring disciplined capital allocation and transparent communication with stakeholders. Responsibilities Financial Planning & Analysis: * Lead the FP&A function, driving forecasting, budgeting, and long-term planning across all business lines. * Build and maintain a rigorous performance management framework — including unit economics, cohort management, and growth analytics — that directly links business performance to strategy. * Ensure cost discipline and accountability across teams, with clear visibility on efficiency metrics. Investor Relations: * Develop and manage investor communication strategies, including quarterly reporting, board materials, and investor updates. * Articulate Teya’s strategy and financial performance in a compelling, credible, and transparent manner. * Benchmark against peers (e.g., Nubank, Revolut, Progressive Insurance) and incorporate best practices in reporting. Strategic Leadership: * Partner with executive leadership to evaluate investment opportunities, capital allocation, and growth initiatives. * Build and mentor a high-performing FP&A team, instilling analytical rigor, business partnership, and cost discipline. * Drive alignment across Finance, Strategy, Product, and Operations. Requirements * Experience: Minimum 3 years leading an FP&A function in a high-growth financial services, fintech, or technology company. * Expertise: Strong background in financial modeling, cohort analysis, capital allocation, and cost management. * Investor Mindset: Track record of managing investor relations or board communications with clarity and credibility. * Leadership: Proven ability to build and inspire a team, and to work cross-functionally in dynamic, high-growth environments. * Transformation-Oriented: Demonstrated ability to drive business transformation in Finance, with a strong bias toward AI adoption, automation, and digital tools to enhance forecasting, reporting, and efficiency. * Discipline: Relentless focus on efficiency and cost discipline, while enabling long-term growth. Why Join Teya * Play a pivotal role in shaping the future of banking for small businesses across Europe. * Work closely with top leadership in a high-growth, entrepreneurial environment. * Lead a function at the intersection of strategy, finance, and external engagement. The Perks * We trust you, so we offer flexible working hours, as long it suits both you and your team * Physical and mental health support through our partnership with Wellhub giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps * Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support * Cycle-to-Work Scheme * Health and Life Insurance * Pension Scheme * 25 days of Annual Leave (+ Bank Holidays) * Office snacks every day * Friendly, comfortable and informal office environment in Central London Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Head of Machine Learning Engineering

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 and AI at Trainline 👋 Machine learning and AI are central to how Trainline helps millions of customers make smarter, more sustainable travel choices every day. Our ML models and AI systems power critical parts of the platform - from search and recommendations to pricing intelligence, personalisation, digital marketing, and AI-driven customer support. Our ML teams own the full delivery lifecycle, from ideation through to production. We work closely with stakeholders across the business to expand the reach and impact of ML and AI throughout Trainline. The Role This is a senior leadership role sitting within one of Trainline’s most important product areas: Core Experience. This pillar encompasses the products and systems closest to the customer journey - search, pricing, payments, fare intelligence, and conversational interfaces. You will define and lead the ML strategy, team, and delivery across this domain. That means building and scaling ML and AI capabilities that measurably improve the customer experience and drive business outcomes. The work spans traditional ML systems and emerging agentic/LLM-based capabilities. You will lead multiple ML teams through their respective team leads, reporting to the Director of AI & ML. You’ll be accountable for the people (2 ML Managers and ~10 ICs), delivery, and budget across your pillar - including vendor and infrastructure cost management. You’ll work closely with Product, Engineering, Data, Analytics, and commercial stakeholders, combining strategic thinking, technical leadership, and organisational leadership to ensure Trainline continues to ship high-quality, scalable ML systems in production. As a Head of Machine Learning - Core Experience at Trainline you will... 🚄 * Set direction and own the budget. Define the vision, strategy, and roadmap for ML across the Core Experience pillar. Own the pillar’s budget - including cloud infrastructure, vendor costs, and third-party tooling - balancing short-term delivery with longer-term platform investments. * Lead and grow the organisation. Lead multiple teams through their team leads. Coach managers and senior ICs, set hiring strategy, and build a culture of technical excellence, experimentation, and delivery. Partner closely with Product, Engineering, and commercial stakeholders to identify high-value opportunities and raise adoption of ML across the business. * Deliver and operate. Drive delivery across search relevance, payments models, splits and fare optimisation, supply automation, and conversational AI. Ensure your teams ship end-to-end - from prototyping through deployment, monitoring, and iteration. Raise operational maturity by defining SLIs/SLOs, incident management, and on-call practices for ML systems in production. * Shape AI practices and governance. Co-own the operating model for modern AI at Trainline - LLM-based features, agentic systems, evaluation frameworks, and guardrails. Drive improvements in AI governance, data privacy, security, and audit accountability as capabilities scale. We'd love to hear from you if you have...🔍 * Significant experience building and leading production ML teams, including managing through team leads (manager-of-managers) * Strong track record of shipping ML systems that deliver measurable business or customer impact, across problem types such as ranking, recommendation, forecasting, optimisation, or real-time decisioning * Deep understanding of the full ML lifecycle and strong software/platform instincts - you know what it takes to run reliable ML at scale – including MLOps tooling and practices * Experience raising operational standards: SLIs/SLOs, monitoring, incident management, and production reliability * Budget ownership, including infrastructure cost management and vendor oversight * Comfortable operating at both strategic and technical levels, with strong stakeholder and communication skills * Experience hiring, mentoring, and developing technical talent at multiple levels Nice to have 😍 * Experience with AWS cloud infrastructure * Experience with cross-functional delivery in product-led organisations * Experience deploying conversational and agent-based systems in customer-facing products * Experience in travel, transport, marketplaces, or similarly complex digital platforms Our technology stack 💻 * Python and associated ML / DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) * PySpark * AWS cloud infrastructure: EMR, ECS, Athena, etc * MLOps / DevOps: Terraform, Docker, Airflow, MLFlow * Monitoring and evaluation platforms including New Relic and Braintrust 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!