AI Operations Engineer

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 Security Operations @ Trainline 👋 Our Security Operations team plays a vital role in protecting Trainline's people, platforms and data. As a Security Operations Engineer, you'll primarily working on monitoring, investigating and responding to security events while helping to strengthen our detection and response capabilities through continuous engineering and automation improvements. Working closely with Security, Engineering and Technology teams, you'll combine operational analysis with hands-on engineering, using Splunk, automation and AI to improve threat detection, streamline investigations and enhance our overall security posture. You'll optimise our security tooling, improve detection capabilities and support incident response across the business through threat hunting, continuous improvement and meaningful reporting that enables informed security decisions. If you're passionate about cybersecurity and enjoy solving complex problems in a collaborative environment, we'd love to hear from you. In this role as the Security Operations Engineer, you will... 🚄 * Monitor, triage and investigate security alerts, leading technical investigations and working with stakeholders to contain, remediate and learn from security incidents. * Use Splunk Search Processing Language (SPL) to investigate security events, identify patterns of malicious activity and support incident response. * Design, develop, automate and continuously tune Splunk detection rules, improving alert fidelity, reducing false positives and expanding visibility across our technology estate. * Build and enhance automation and AI-driven workflows to improve threat detection, investigation and alert triage, enabling the team to respond more effectively and efficiently at scale. * Perform proactive threat hunting using threat intelligence and security telemetry to identify emerging threats, improve detection capabilities and help shape our Security Operations roadmap. * Support the administration, configuration and continuous optimisation of our SIEM platform (Splunk), ensuring it remains resilient, up to date, cost effective and aligned with industry best practice. * Partner with Engineering and Technology teams to embed security best practices into systems, tooling and operational processes, while supporting vulnerability management activities, including the assessment and response to critical and zero-day vulnerabilities. * Participate in the On-Call Rota with the Team. * Produce clear documentation, dashboards and reporting that provide operational insight, support knowledge sharing and enable stakeholders to make informed security decisions. You'll also contribute to the wider Security function by participating in the on-call rota (once established in the role) and supporting compliance and certification activities, including GDPR, PCI DSS and ISO 27001. We'd love to hear from you if you have... 🔍 * Hands-on experience with Splunk, including developing and tuning detection rules, log management and investigating security events using Splunk Search Processing Language (SPL). * Experience designing, automating and continuously improving threat detection capabilities using automation and AI to enhance Security Operations. * Experience applying AI, whether through vendor-provided capabilities or custom workflows, to improve threat detection, investigations or operational efficiency would be highly beneficial. * Strong technical knowledge across cybersecurity, infrastructure, networking or cloud technologies, with the ability to investigate security events and make informed, risk-based decisions. * Experience working with security technologies such as Microsoft Defender, endpoint detection and response (EDR) solutions and SIEM platforms. * Experience working with Web Application Firewalls (WAF), including creating, tuning and maintaining WAF rules to protect internet-facing applications, would be highly beneficial. * Experience with vulnerability management, including assessing, prioritising and responding to critical vulnerabilities and zero-day exploits, would be beneficial. * Experience working within an e-commerce or high-traffic digital environment would be highly beneficial, with an understanding of the unique security challenges associated with customer-facing platforms. * Excellent analytical, communication and documentation skills, with the ability to collaborate effectively across teams and explain technical concepts clearly to both technical and non-technical stakeholders. Experience supporting compliance frameworks such as GDPR, PCI DSS or ISO 27001 would be helpful but isn't essential. 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!

9fin

About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets. Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption. We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. THE OPPORTUNITY The AI Engineering team at 9fin is building the next generation of AI capabilities that will power our products for years to come. We're looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business. This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting a mature internal platform, you'll help shape its architecture, define engineering standards, and build reusable infrastructure that allows AI teams to move quickly, safely, and at scale. Working alongside backend engineers and AI engineers, you'll create the shared platform services that power everything from intelligent document understanding to autonomous AI agents capable of running scheduled workflows, generating morning briefings, identifying distressed companies, and supporting future AI-powered product experiences. Every day is different, but here's an example of the kind of things you'll work on: * Design, build and continuously evolve the enterprise AI platform that powers AI products across 9fin. * Develop scalable AI services supporting Agentic AI, Retrieval-Augmented Generation (RAG), embeddings, vector search, model serving, and intelligent automation. * Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities. * Develop production-ready AI applications using modern LLM frameworks and orchestration tools. * Design reusable platform components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services. * Build APIs, SDKs, and developer tooling that enable self-service AI development across engineering teams. * Design secure, scalable deployment pipelines for AI models and applications. * Build AI observability capabilities including monitoring, tracing, evaluation, cost optimisation, and production quality measurement. * Collaborate closely with AI Engineers, Backend Engineers and Engineering Leadership to define platform architecture and engineering standards. * Establish engineering best practices around testing, governance, Responsible AI, deployment, and operational excellence. * Continuously evaluate emerging AI technologies and evolve the platform as the ecosystem rapidly advances. WHAT MAKES THIS ROLE DIFFERENT Unlike many AI Platform roles that focus on maintaining existing infrastructure, this role is centred around building the platform from the ground up. You'll join at an early stage where many architectural decisions have yet to be made, giving you genuine influence over how AI is built, deployed, and operated across 9fin. Within your first six months, you'll help build the platform that powers production AI agents capable of running autonomously in the background—supporting workflows such as scheduled market briefings, distressed company discovery, and future intelligent financial research products. Rather than owning a single AI product, you'll build the shared capabilities that enable multiple engineering teams to rapidly develop, deploy, and operate AI solutions at scale. You'll be one of a small number of senior engineers helping shape the technical direction of the platform alongside the Engineering Lead and fellow senior engineers. ABOUT YOU This role will be a great fit if you: AI PLATFORM ENGINEERING * Have 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems. * Have experience designing and deploying enterprise AI applications into production with a strong focus on scalability, reliability, and developer experience. LLMS & AGENTIC AI * Have hands-on experience building applications powered by Large Language Models (LLMs). * Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. * Have experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks. BACKEND & PLATFORM ENGINEERING * Are a strong backend engineer with production experience using Python and/or TypeScript. * Have designed scalable backend services, REST APIs, and event-driven architectures. * Have experience building reusable platform capabilities, internal developer tooling, SDKs, or shared engineering services. CLOUD & INFRASTRUCTURE * Have strong experience building cloud-native applications. * Are comfortable working with Docker, Kubernetes, CI/CD pipelines, and containerised deployments. * Have experience with solutions such as AWS Bedrock and AgentCore * Understand how to deploy, monitor, and operate AI services in production. AI OPERATIONS & OBSERVABILITY * Have experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems. * Have experience with observability solutions such as Arize Phoenix, Langfuse, or Langsmith * Understand the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation. COLLABORATION & TECHNICAL LEADERSHIP * Enjoy collaborating across multiple engineering disciplines to shape technical direction and establish engineering best practices. * Are comfortable operating as one of a small number of senior engineers, influencing architecture and platform direction without necessarily having formal management responsibilities. * Thrive in fast-moving environments where many platform capabilities are still being designed and built. BONUS POINTS Experience with any of the following would be highly advantageous: * AI gateways and model routing * Prompt management platforms * AI evaluation frameworks * LangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworks * Vector databases and semantic retrieval * Knowledge graphs or document understanding systems * Building internal AI platforms used by multiple engineering teams BENEFITS We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel. Financial & Insurance * Competitive Salary (our salary bands are benchmarked at the top end of the market) * Equity * Pension (your minimum contributions are 4% with 9fin matching up to 7%) * Private Medical Insurance * Paid sick leave with Income Protection for long periods of illness * Group Life Assurance  * Season Ticket Loan & Cycle to Work schemes Time off  * 25 holiday days per year * Local public holidays (with the ability to exchange them for alternative days) * Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work * Work abroad for up to 3 months a year * 1 month paid sabbatical after 5 years of service * Enhanced parental leave & flexible working arrangements available Training & Culture  * Professional learning and development budget * AI experimentation budget of £800 (UK) per employee to trial AI tools * Quarterly team socials * Summer and Winter company social events 9fin is an equal opportunities employer At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.

Graphcore

About Graphcore  At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.    Job Summary   We are looking for an experiences Staff Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions.  These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions.  This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems.  You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.      The Software Platform team at Graphcore  We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds.  Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components.    Responsibilities and Duties    * Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.  * Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.  * Help to build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments.  * Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.  * Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.  * Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.  * Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.      Skills and Experience [ALL REQUIRED]  * Bachelor's degree or equivalent practical experience in a relevant subject.  * Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor.  * Experience managing or operating on-premises or private-cloud environments.   * Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.  * Strong proven Linux scripting ability (bash and python required).  * Strong proven Linux system administration (Ubuntu, RHEL and variants).  * Experience with a version control system (preferably Git) and using it to manage system configuration or automation.  * Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.  * Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).  * A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.  * Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer).  * Experience with container deployment and management tools (e.g. docker, podman, apptainer).  * Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka  * Good communication and presentation skills, and experience dealing with end-users of IT or cloud services.  * An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.     Desirable but not required:  * Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).   * Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.  * Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.  * Experience with managing production Kubernetes clusters and workloads.   * Experience with workload queue management systems (SLURM, LSF, Kueue).   * Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).   * Programming experience with Python3 utilising classes and inheritance.  * Programming experience with Go.    Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.   Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.