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What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. As Tech Lead/Architect for the Supply Chain CoE, you own the technical spine of Cognite's Integrated Supply Chain offering - knowledge graph, generative AI agents, and command-center UX. You'll act as the subject-matter expert across source-make-deliver, modeling customers' supply chains and showing how AI/UI tools turn an integrated graph into deviation triage and resolution. You're equally comfortable in a C-level value conversation and a technical session on data models or agent skills. The bar goes beyond prompting AI: you'll engineer domain expertise into testable, deterministic playbooks - treating CoE knowledge as a rigorous system with guardrails, ground-truth testing, and staged rollouts. • Solution & CoE Strategy: Align the CoE on high-impact use cases (e.g., delayed inbound spare maintenance delay order risk) and deploy them as demos or customer solutions., • Knowledge-Graph Data Modeling: Lead customer modeling sessions; show how domain data models and complex hierarchies absorb requirements securely and at scale., • Data & AI Architecture: Guide customers on adopting our graph/AI/UI stack, including integration patterns (Snowflake, Databricks, ERPs) and why agents must be grounded in deterministic graph paths., • AI Skill-System Authorship: Turn domain expertise into structured AI skills with fixed parameters, guardrails, and testable anchors, keeping data models and agent logic aligned., • Agentic Tooling & QA: Serve as escalation point for complex graph queries and agent/UI design; own testing and evaluation frameworks, classifying failures rigorously before changing agent logic., • Enterprise Architecture & Value Selling: Support end-to-end architecture reviews and quantify commercial impact (orders at risk, delay penalties, landed costs) for executive business cases., • Partner Enablement & Documentation: Equip partners with reusable demos and accelerators; maintain clear, consistent terminology across models, docs, and AI logic., • Deep knowledge of industrial supply chain planning/execution and its links to production, quality, and maintenance; fluency with ISA-95/88 and SCOR frameworks., • 5+ years in industrial supply chain (planning, logistics, inventory) and 5+ years in pre-sales, solution architecture, or delivery for enterprise software., • Experience designing industrial information/knowledge-graph data models (temporal relations, typed hierarchies) and integrating structured/unstructured enterprise data., • Hands‑on proficiency in Python and frontend (TypeScript/React), with strong engineering discipline (ADRs, automated testing, CI/CD)., • Systemic AI/testing mindset: optimized tool routing, rigorous multi-stage evaluation, root‑cause debugging, and graceful handling of edge cases - not just prompting., • Excellent client-facing skills, able to translate complex data/AI concepts for audiences from engineers to C-level executives., • Familiarity with modern data platforms (Snowflake, Databricks, Spark/SQL), source systems (ERP/MES/WMS/TMS), and agentic AI/LLM workflow design., • Prior experience in high-growth (startup/scale-up) environments; Bachelor's degree or equivalent practical experience., • Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus, • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata to know more, • Flat structure with direct access to decision-makers, • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology, • Join our HUB to be part of the conversation directly with Cogniters and our partners, • Get access to private health services with Cognite Care, • Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House), • Our own Cognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes., • We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site., • A pet lover? Get the chance to meet Spot at the Robot Garden!, • Impact 2025, • Cognite's Industrial AI: Moonshot, • We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment. #J-18808-Ljbffr

Lunar is a stealth technology company building a new type of software platform for health systems. We are on a mission to revolutionize healthcare with cutting-edge, AI-powered software designed to help every hospital deliver world-class care for their patients. Our platform is already the core backbone of health systems today, transforming clinical and operational workflows at scale with the world’s first AI-native hospital information system. This next-generation platform is a fundamental rebuild of the information infrastructure that runs health systems. All of it – from doctors, nurses, pharmacists, lab technicians, coders, billers, supply chain, and even patients – Lunar’s software powers everything, soup-to-nuts. We believe that this mission is the moon landing of healthcare – something so consequential and ambitious that most people believe it to be impossible. Backed by Silicon Valley’s preeminent venture capital firms, we believe in the power of a small, high performance team of seasoned professionals operating at the peak of their abilities. We value people who are driven, curious, have sound judgement, and care about doing the best work of their careers. We run hospitals on Elixir. We’ve embraced Elixir for its fault tolerance, concurrency, and scalability - essential for handling real-time patient data in mission-critical settings like Emergency Departments, ICUs, and Operating Rooms. We are looking for a Staff Software Engineer who’s excited to tackle some of the hardest technical problems in healthcare - and do it with a small, fast-moving, and deeply mission-driven team. If you care about writing clean, robust code and want to rebuild from scratch the software infrastructure of modern hospitals, we’d love to talk. Here are some deep technical problems you may tackle in your first 6 months: Modern cloud architecture, built from scratch: We have no legacy systems to untangle. We’re designing a modern cloud-native platform with Elixir at its core. Develop a radically better access control system for clinical data: Create a modern access control system with fine-grained permissions that respects clinical data structure and patient data ownership, while enabling population-level insights for better public health. Keep hospitals online 24/7 - no matter what: Design and ship infrastructure that can handle rolling deployments, failover, and real-time data sync in environments where downtime isn’t an inconvenience - it’s a risk to patient care. Bridge the gap between software and hardware: Architect a next-generation integration engine to connect ventilators, bedside monitors, imaging equipment, lab equipment, and more - reliably and in real time. Push hospital workflows into the modern age: Rethink and rewire how data moves between nurses, doctors, and administrators - and turn confusing, click-heavy workflows into fast, intuitive experiences. Your Experience: Minimum of 10 years of professional software engineering experience. Proficiency with object oriented and functional programming, with the ability and willingness to use and adopt new technologies. We use tools such as Phoenix, Elixir, Python, Erlang, Javascript, Node.js and more. Strong ability to work in a fast-paced, collaborative, and innovative team environment. Exceptional problem-solving skills, with a track record of tackling challenging engineering problems. Intellectually curious with a growth mindset - able to tackle entirely novel challenges that lack prior precedent through applying strong fundamentals and first principles thinking. Familiarity with open-source technology and a desire to explore and experiment with new solutions. Experience building 0-1 with a strong product sense. Excellent communication skills and the ability to articulate technical decisions, trade-offs, and best practices. A passion for making a meaningful impact in the healthcare industry through software innovation is a plus. Hospitals are some of the most complex, under-served environments in all of tech. We’re bringing the best of modern software practices to an industry that’s been left behind - and building tools that clinicians love, not tolerate. If you’re an engineer who wants to work on meaningful problems with real-world impact, this is your chance. Lunar supports a flexible hybrid work environment. We encourage in-person collaboration with an expectation of working onsite three days a week. Our approach is designed to offer the flexibility of remote work while fostering the creativity and connection that come from face-to-face time with the team. At Lunar, we know our greatest strength is the diverse blend of backgrounds, experiences, and ideas that our team members contribute. We’re passionate about healthcare, but we are also passionate about creating an inclusive workplace where every unique talent and perspective is not just respected, but celebrated. We thrive on embracing differences and are fully committed to fostering a fair, supportive, and dynamic environment where everyone has the opportunity to shine. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

let's build what's next - together! We are seeking a ML Ops Technical Lead to spearhead our infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical and hands‑on. Your primary mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability. • Team Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating closely with Data Science and Engineering leaders., • Infrastructure Strategy & Automation: Define the infrastructure roadmap for AI/ML workloads and automate provisioning across cloud environments using Infrastructure as Code (IaC)., • MLOps & LLMOps Engineering: Architect, maintain, and optimise robust MLOps/LLMOps pipelines and CI/CD frameworks for continuous model deployment., • GenAI Production Deployment: Deploy Large Language Models (LLMs) into production environments, ensuring high availability, low latency, and optimal performance for GenAI & Budget Management: Establish FinOps frameworks to track, allocate, and forecast AI infrastructure spend, managing high-cost GPU/CPU cloud budgets., • Resource Efficiency & Unit Economics: Implement auto-scaling, spot instances, and down‑scaling policies to eliminate waste, while providing full visibility into the unit economics of training and serving LLM models., • Observability & Incident Response: Establish 24/7 incident response, telemetry, and observability metrics to monitor system performance, model drift, and data pipelines., • Data Governance & Security: Enforce strict data governance, platform security, and compliance protocols across all AI/ML infrastructure., • Extensive production experience deploying and supporting ML systems., • Proven track record of leading engineering teams., • Demonstrated experience with Generative AI and LLM deployment proven history of reducing cloud spend on large-scale AI clusters., • Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix., • Expertise in AWS/GCP/Azure cost tools, Kubecost, or Cloudability., • Extensive background of Kubernetes (K8s), Docker, and service meshes., • Expert knowledge of Terraform, Ansible, Jenkins, or GitHub Actions., • Proficient in Python, Bash, or Go., • Familiarity with Triton Inference Server, vLLM, or Hugging Face TGI. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and We are a team of innovators focused on optimizing business decision‑making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best‑in‑class Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. #J-18808-Ljbffr

The Contracts Manager will also ensure full compliance with relevant regulations, standards, and legislation related to gas works. Main Purpose of the Role The Contracts Manager will be an integral member of the Gas Management Team, responsible for delivering a comprehensive contract management serv

London, England, United Kingdom Create the future of travel with us Whether it’s to visit the people closest to us, start an exciting adventure, or a career-defining business trip, travel is an essential part of our lives. Yet we've all experienced the aches and pains of getting to our destination. Today, more than 4 billion airline passengers rely on technology that hasn't kept up with the expectations of the modern connected traveller. That’s why we’ve started to rebuild the infrastructure that underpins the travel industry. We’re on a mission to unravel travel — simplifying systems and building the tools that will make the future of travel effortless. We were part of Y Combinator S18’s cohort and we are backed by Benchmark, Blossom, Index Ventures and Kima Ventures. We're building tools to simplify travel distribution, search and booking. What does this actually mean? It's one common and seamless API. This brings huge technical challenges as we need to design and build a beautiful API before integrating to hundreds of airlines. Along with that we need to navigate through the differing needs and systems of each airline whilst building a fantastic developer experience to go with it. The tools used on the team include Elixir, Phoenix, Kubernetes and Google Cloud Platform. Design and build a seamless API for travel distribution, search and booking; integrate with hundreds of airlines; create a pleasant developer experience; maintain high code quality. • A passion for designing and building fantastic APIs and great developer experiences., • An interest in working with Elixir – prior experience not required; learning on the job is fine., • A high bar in code quality and API design., • Opinions on good engineering standards and processes., • Big‑picture thinking – make trade‑offs on technical work streams against business impact., • Excellent communication skills – articulate what you’re working on and why., • Collaborative mindset – open to suggestions and feedback., • Bonus: experience in travel, flights, hotels or cars. Personal growth, a comfortable environment where we listen to ideas, concerns and questions. Pride in ownership of your work and impact. Everyone who joins Duffel owns a share of the company. We are an equal opportunity employer. We believe that the key to our success is employing a diverse team, so recruitment decisions are based only on experience and skills. We welcome applications from everyone – regardless of age, sex, disability, sexual orientation, race, religion or belief. Duffel does not accept speculative CVs from external parties. Any unsolicited CVs sent to us will be treated as property of Duffel, and any attached terms and conditions associated with these CVs will be null and void. We may use AI tools to support parts of the hiring process, such as reviewing applications, analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. #J-18808-Ljbffr

Valarian: A New Era of Sovereign Intelligence Valarian is a dual use technology company building critical tools to safeguard the future in an era of evolving global security challenges. Backed by a Series A funding round of $50m led by NEA, we are rethinking security beyond traditional military domains to address asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We provide the control infrastructure that allows government and regulated enterprise to put frontier-class AI to work safely. We are bringing a frontier AI experience inside secure boundaries for the first time. Our technology supports mission critical workflows across government, healthcare, and enterprise, including: • Scaling open-weight models without external inference endpoints., • Putting frontier class AI to work across organisations through partnerships with other leading AI startups such as Perplexity., • Increasing operational resiliency for air gapped, on prem, and cloud based systems., • Securing intellectual property and maintaining auditability for high stakes enterprise environments., • Facilitating secure information flow during disaster response, M&A due diligence, and privileged legal communications. We’ve only scratched the surface. Built in Britain by veterans of the Ministry of Defence, British Forces, Darktrace, and elite engineering backgrounds, we are driven by a shared mission to safeguard western democracy . Whether you join our London HQ or our wider global organisation, you’ll be part of a collaborative, high performing team creating the cutting edge software and infrastructure that defines the frontier of enterprise AI. We are looking for an experienced Senior MLOps / LLMOps Engineer to lead the deployment, monitoring, orchestration, and operational reliability of our production LLM applications and agentic AI platform. In this role, you will bridge the gap between AI development and production infrastructure, ensuring multi-step agentic workflows, data pipelines, and retrieval-augmented systems run reliably, securely, and at scale within a large-scale Kubernetes environment. • Design, deploy, and manage LLM services, agentic applications, and supporting AI workloads inside high-throughput Kubernetes clusters., • Automate containerized deployments, scalable inference endpoints, and blue/green or canary rollout strategies for LLM/Agent releases via modern CI/CD pipelines., • Support and maintain the production operation of agentic AI workflows, including multi-step tool execution, state management, and multi-agent coordination., • Rapidly triage and resolve issues across AI application logic, orchestration frameworks, external API integrations, and underlying cloud infrastructure., • Build end-to-end monitoring and evaluation (Eval) frameworks to measure and maintain AI output accuracy, drift, latency, cost, and hallucination metrics., • Implement trace-level observability for agent execution paths (tracking prompts, completions, tool calls, and agent steps)., • Monitor and optimize real-time and batch data pipelines powering AI workloads, including feature stores, vector indexing, and embedding updates., • Manage resource allocation (GPU/CPU utilization), memory footprint, autoscaling strategies, and cloud infrastructure expenditure to optimize time-to-first-token (TTFT) and throughput., • 3+ years of experience in MLOps, LLMOps, Platform Engineering, AI Infrastructure, or SRE with a focus on machine learning workloads., • Hands‑on experience managing and deploying complex containerized applications on Kubernetes (EKS, GKE, AKS, or bare metal) at scale., • Strong proficiency in Python for backend automation, system debugging, custom tooling, and integration development., • Proven experience with standard monitoring/logging tools (e.g., Prometheus, Grafana, Datadog, OpenTelemetry) as well as LLM‑specific tracing and evaluation platforms (e.g., LangSmith, Phoenix/Arize, Langfuse, TruLens)., • Familiarity with modern CI/CD pipelines (GitHub Actions, GitLab CI, ArgoCD) and Infrastructure as Code (IaC) tools (Terraform, Pulumi)., • Deep operational understanding of agentic architectures, prompt chaining, function calling/tool execution, and non-deterministic application behavior., • Practical experience operating Retrieval-Augmented Generation (RAG) pipelines and production vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector, Weaviate)., • Hands‑on exposure to agent development and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI)., • Experience with high-performance LLM serving engines and frameworks (e.g., vLLM, TGI, Ollama, TensorRT-LLM)., • Understanding of AI security practices (prompt injection mitigation, data privacy, PII masking) and rate limiting/cost guardrails., • Equity – because you have the right to own what you’re building, • A competitive salary – because we value your unique skills, • Employer pension contributions – because you deserve a secure future, • Private health insurance - because your health is important to us, • Hybrid work setup – because everyone has different needs, • Gym memberships - because staying active fuels productivity, • Rewarding company retreats and meetups that respect your work/life balance – because we love getting to know each other Our culture is built on inclusivity, compassion and flexibility – we want everyone to be empowered to achieve their goals at Valarian. The work we do is vital, but so are the connections that make it happen. We thrive on the shared energy, spontaneous conversations, and mutual trust built when we spend time together. We operate on an office first hybrid model, regularly gathering in our London office to support one another and collaborate. Valarian Technologies Limited is an equal opportunity employer and welcomes applications from invdividuals regardless of race, colour, religion, sex, sexual orientation, gender, identity or expression, national origin, age, disability, genetic information, marital status, veteran, amnesty, or any other legally protected characteristic. We are committed to ensuring a fair and inclusive recruitment process and providing employment opportunities to all applicants. Decision recruitment, hiring, and employment are based solely on qualifications, skills, and experience relevant to the job requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

Today, closing a company can be time-consuming, opaque and expensive. Closeday is reimagining corporate insolvency. We combine deep industry expertise with modern technology and AI to make case processing faster, smarter and more transparent. We're on a mission to close companies faster, lower costs, and return more to stakeholders as quickly as possible. Founded by a team of highly experienced entrepreneurs, Closeday is UK-first, but international by design. We have hubs in London, Copenhagen and Barcelona. We are well-funded to execute on an ambitious, multi-year roadmap. We move fast, think pragmatically, and care deeply about excellence, collaboration and building something genuinely transformative. All while having fun in a high-trust environment. What we're building Closeday is a professional services firm built like a software company. We don't sell software to insolvency practitioners. We deliver the service ourselves, end to end. We start with insolvency. Today, we hold real insolvency appointments, and live cases run through our platform every day. Automation and agents already handle a growing share of the work, and our practitioners review and sign off on it. We work agent-first ourselves: most of our code is written with agents, and non-engineers ship changes safely. Our vision is a service that runs on agents. Agents do the intelligence work end to end: gathering data, drafting, checking and filing. People handle judgement, exceptions and regulated sign-off. Our licensed practitioners keep the judgement and the accountability. The result is a process that is faster, more transparent and more thorough than the industry has ever managed. Why it matters We are building one of the first agent-run professional services firms, starting with insolvency. When we have proven it here, the same approach can transform other regulated professions. Along the way, we make one of the hardest moments for a director faster, clearer and less stressful. The hard problems you'll work on • Automation, deterministic and agentic. Decide where work should follow fixed, predictable rules, and where agents should reason and act on their own. Combine both safely, so cases move fast without surprises., • Review tools for agent work. Build tools that let practitioners review agent work as efficiently as engineers review code in a pull request: what changed, why, on what evidence, and how risky it is. They approve, correct or guide it., • Risk-based review. Decide what needs a human and what does not. Routine work flows through with automated checks, and regulated or high-risk steps always get a practitioner's review. As trust grows, the line moves., • Each review teaches the system. Practitioners' corrections become rules, checks and better agent behaviour, so the next case needs less review. Today's judgement becomes tomorrow's automation. The role First engineering hire. Work side by side with a founder team that builds. You'll join as our first engineering hire and work directly with our CTO and co-founder, Christian Hølmer. Most of your time goes into hands-on building. You'll have real technical leadership and ownership, with no people management. What you'll do • Ship substantial initiatives yourself, from a vague problem to production, that move how much of the casework our platform covers and automates., • Be our second engineering anchor. Know the whole platform, keep it moving and joined up, and review and guide changes from others on the team., • Build the building blocks and guardrails that let the whole team, developers and non-developers, ship faster and safely with AI., • Own large platform capabilities, such as integrations with postal, banking and accounting systems, AI document search, our phone infrastructure, and authorisation and security., • Evolve our agent harness: the tools, context, evals and guardrails our case agents run on. Make agents more capable and more reliable, and know when to hand over to a person., • Help set up our on-call rotation and take part in it., • Work closely with the founders, insolvency practitioners and case managers to scope work and find the biggest unlocks. What you bring • Hands-on experience setting up production infrastructure yourself: deploys, CI/CD, monitoring or databases., • Strong engineering judgment in system design, architecture, security and reliability. You weigh trade-offs and prefer the simple solution., • You have lived with your own decisions. You stayed long enough in past roles to see what held up and what didn't., • A big believer in AI, and an early, hands-on adopter. You have shipped real work with AI agents for a year or more and can show examples., • You take vague problems to production. Zero-to-one experience is a strong plus., • Product sense. You make everyday product trade-offs on your own, challenge scope, and learn a complex domain fast., • Rails is a plus. Deep experience in a similar monolith-first stack (for example Django, Laravel or Phoenix) is just as welcome., • Comfort with ambiguity and a fast, half-built startup environment. You see creative freedom rather than gaps. How we build • A simple, modern Rails monolith that follows the framework's strong conventions, so agents and people can move fast in it., • Agent-first workflows with the harnesses that work best, such as Claude Code, Codex, OpenCode, Pi and OMP. Parallel agents, agents orchestrating other agents, and AI-assisted review., • Strong guardrails: tests, linters and architecture checks keep agent work safe. Where you'll work • Remote, based in the UK, Spain or Denmark., • Regular in-person time in London, Copenhagen or Barcelona, for example team days. Why Closeday • Equity: share in the upside of the business you help build., • Impact: help prove a new model for professional services, starting with insolvency., • Influence: a voice at the table from day one, as our first engineering hire., • Ownership: real technical leadership over a platform that already runs live cases., • Culture: fast, collaborative, international and fun. Scandinavian-style work/life balance. How we hire • An initial conversation with Heart Mind Talent., • A conversation with Hølmer, our CTO and co-founder., • A hands-on working session with AI agents on a realistic task., • A technical deep dive into a project you have built., • Conversations with our other co-founders., • Reference checks. If you want to help build one of the first agent-run professional services firms, and you believe the best way to do it is with people and agents working side by side, we'd love to speak with you. #J-18808-Ljbffr

As an Applied AI & Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data. You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions. You will join a small, globally connected team with the resources and impact of one of the world's largest financial institutions. • Design and implement scalable architecture for LLM-powered investment tools, ensuring integration, governance, observability, and access control, • Build and scale AI applications and automated workflows using models, retrieval, and tools, with orchestration for state management and human oversight, • Develop context-management and retrieval-augmented generation (RAG) capabilities, including ingestion, chunking, metadata, embeddings, hybrid search, reranking, and grounded outputs, • Create reliable data and knowledge pipelines that transform enterprise content into high-quality inputs for AI applications, • Establish engineering standards for reusable tools and model integrations, including interfaces, permissions, testing, failure handling, and documentation, • Implement evaluation and end-to-end observability for AI systems, optimizing for quality, groundedness, task completion, latency, token usage, cost, reliability, and business impact Partner with portfolio managers and research teams to understand investment processes and translate them into practical solutions Are you ready to make an impact at the intersection of finance and technology? At JPMorgan Chase, you'll help drive innovation in investment decision-making and client engagement. You'll work with advanced analytics, enterprise data platforms, and generative AI solutions that power our global business. We offer career growth, mobility, and the opportunity to collaborate with talented professionals across the firm. Your skills will help us deliver secure, scalable, and measurable solutions for our clients. Hold a Master's degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field • Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection and interpretation, • Possess hands-on experience building, deploying, and scaling LLM-powered applications, including retrieval, tool use, workflow orchestration, state management, structured outputs, and evaluation, using frameworks such as LangGraph, Semantic Kernel, LlamaIndex, or equivalent, • Apply practical knowledge of prompt and context design, embeddings, vector and keyword search, reranking, model selection, and optimization for quality, latency, and cost, • Exhibit strong Python and SQL skills, with experience using common data and machine learning libraries and frameworks, • Show numerical intuition and understanding of financial markets, investment research, portfolio construction, risk, performance, and investment data, • Translate ambiguous business requirements into scalable technical solutions and communicate technical trade-offs to stakeholders, • Deliver generative AI or machine learning solutions in a regulated enterprise environment, Bring front-office or buy-side experience, especially in investment research, portfolio analytics, performance attribution, or decision analytics, • Incorporate unstructured or alternative data into research and production workflows, • Demonstrate familiarity with Model Context Protocol (MCP) or comparable standards for securely connecting AI applications to enterprise data, tools, and services, • Apply experience with LLM observability and evaluation standards or platforms such as OpenTelemetry, OpenInference, Arize Phoenix, LangSmith, or equivalent, including traces across model, retrieval, and tool-execution steps, • Show familiarity with knowledge graphs, multimodal models, fine-tuning, synthetic data, or advanced model-evaluation techniques, • Apply experience with time-series analysis, forecasting, and quantitative research Hold or be progressing toward the CFA designation J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

We're Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world's capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We've grown annual recurring revenue from $1 million to $50 million in two years. To go further, we've secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst's Customer Value Fund. If you want to join us in doing work worth shipping, jump in. We're looking for a doctor who has moved into AI and can code, to join Clinical AI R&D as a Clinical AI Engineer. You'll sit inside a product pod and own the evidence for its product: define the evaluation before anyone builds, run it to a standard a journal reviewer would accept, keep watching the product once it ships, publish what the evidence shows, and change the product when the evidence says to. The pod's engineers can change the product but can't judge whether a discharge summary missed something a consultant would catch. Clinicians can make that call but can't open a pull request. You do both, and you treat the gap between a model's output and good clinical practice as the thing you're here to measure and close. The loop doesn't end at launch. You stay with the product for its life in market. Design the evaluation. Define evaluations for greenfield products to an academic standard: endpoints, comparators, ground truth, sample size, analysis plan. Set the bar before the result arrives. Build the measurement. Build, optimize and validate the LLM judges and rubrics that score the product at scale. Report their agreement with clinician ground truth, not their convenience, and retire the ones that drift. Run it and write it up. Execute the evaluation, do the statistics, and write it up once in a form that serves the pod, the regulatory file and an academic submission. Run post-market surveillance. Monitor output quality in production and respond to regulatory feedback with data. Our clinical safety team triages complaints and incidents; you're their counterpart in the pod, working out what their findings mean for the product and what should change. Fix what the evidence finds. Prompt and rubric changes, evaluation harness changes, code changes in the pod's codebase, shipped through the pod's normal review and release process. Publish. Contribute to peer-reviewed literature on the translational benefit of the product. Be the clinician in the room. Catch the output that reads well and is wrong. Hold the line on clinical nuance when a shortcut would ship faster. A medical degree and clinical practice with independent clinical judgment. This role runs on medical nuance, and this requirement doesn't flex. Academic depth. Study design, inferential statistics, agreement and reliability measures, sample size, handling of multiple comparisons. Thesis or publication-level work, not a methods module. Experience evaluating medical software or clinical AI, including building or validating LLM-as-judge pipelines. Enough engineering to work in a production codebase. Read it, understand what a change will do, make the change in Python or TypeScript, and get it through review. Prompt engineering and AI-assisted coding are daily tools here, and they're the floor, not the ceiling. Independence. You can run a project for weeks with light direction, and you say early when it's stuck. Clear writing. Evaluation reports, surveillance summaries and manuscripts are the primary output of this role. Post-market surveillance or vigilance work under a medical device framework (TGA, MHRA, FDA or EU MDR). Appetite to learn counts for more than existing depth. Peer-reviewed publications on clinical AI or LLM evaluation. Machine learning background beyond prompting, such as fine-tuning or classical model evaluation. Specialty depth in an area Heidi is moving into. An academic or clinical-site network able to host a study. Build for the next decade, not next quarter #J-18808-Ljbffr

We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it's one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That's why we created Ravio. We help many of the world's most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. Ravio is growing fast, which means you can too. We've established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you're in the right place. We're looking for a Staff Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift. Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You'll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them. You'll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You'll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship. This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. • 8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard, • System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency, • Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra), • Comfortable owning code in a distributed monorepo with multiple deployable services, • Ships fast under product pressure - we're moving from PMF to scale and the role needs that pace, • Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals., • Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically, • MCP, Anthropic SDK, or other LLM platform work, • Building developer platforms, internal SDKs, or framework-shaped surfaces, • Eval-driven development, prompt engineering at scale, LLM-judge harnesses, • React or another modern frontend framework, • React, • Typescript, • GraphQL (Apollo Client), • Playwright, • Jest, • Storybook + Chromatic, • Mantine, • GCP (Cloud Run), • Typescript, • PostgreSQL, • GraphQL Yoga, • Jest, • Auth0, • GCP (Cloud Run, Cloud SQL, Cloud Storage + more), • Opus/GPT/Gemini/and many more model families, • Vertex/Bedrock/Foundry - Cloud deployed models, • Temporal - durable workflow engine, • MCP servers as the tool layer, • AI gateway (Bifrost) for logging, routing, governance, • Eval harness (Phoenix) - golden queries, LLM-as-judge, • Memory layer (Neo4j), • GitHub Actions, • Datadog, • Figma, • Slack, • Linear From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader. Ultimately it's for you to decide whether that's true in our two-way street interview process. Here's a summary of where we are right now and what you can expect as a starting point. There's a lot happening at Ravio right now. We've just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We've got new joiners starting almost every week, and we need you to help us maintain our velocity and continue to build a scalable org and product. Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 #J-18808-Ljbffr

Senior Software EngineerLondon | Full-time | Hybrid | Shoreditch/Liverpool Street Create the Future of Travel With UsWhether it's visiting the people closest to us, starting an exciting adventure, or a career-defining business trip, travel is essential. Yet we've all experienced the aches and pains of getting to our destination. More than 4 billion airline passengers rely on technology that hasn't kept up with modern expectations. That's why we're rebuilding the infrastructure that underpins the travel industry - simplifying systems and building tools that will make the future of travel effortless. We were part of Y Combinator S18's cohort and we're backed by Benchmark, Blossom, Index Ventures, and Kima Ventures - a fantastic set of investors that has helped build some of the world's largest companies. Our London team is growing, and we're looking for a Senior Engineer to help shape both the product and the team building it. We're building tools to simplify travel distribution, search, and booking through one seamless API. The technical challenge? Design a world class API, then integrate it with a vast number of travel providers - each with different systems and requirements - whilst delivering a fantastic developer experience. We work with Elixir, Phoenix, Kubernetes, and Google Cloud Platform, but we value strong engineering fundamentals over specific tech experience. As a Senior Engineer, you won't just execute against a spec - you'll help define what gets built and how. You'll take on ambiguous problems, shape technical decisions across teams, and set a bar for quality that others follow. • You've designed and shipped APIs at scale, and have a clear point of view on what makes a great one, • You can take a loosely-defined problem and turn it into a clear technical plan, working independently - weighing technical rigour against business impact along the way, • You think in systems: you can trace how a decision in one part of the stack ripples into others, and design with those knockon effects in mind, • You want to keep writing production code as a senior engineer, not move away from it - this role is hands-on for the long run, not just at the start, • You've mentored engineers or helped them do their best work, and take real satisfaction in others reaching the bar you hold yourself to, • You communicate clearly, articulating what you're working on, why, and the reasoning behind your tradeoffs, in a structured way, to a variety of internal and external stakeholders., • You thrive collaboratively - you believe in your methods but stay open to feedback and suggestions, and know when to stand by your approach and when to compromise Bonus: Experience in travel, flights, hotels, or cars • Competitive salary + equity (you'll own part of the company), • Work from anywhere policy, • Private Healthcare, • the company travel allowance (use what we build), • Matched Family leave, • Sabbatical programme (3 months full pay), • Office in Shoreditch + regular team socials You'll work on the core API powering millions of travel bookings, with real influence over its direction. Early-stage role = outsized impact on how we build and scale, and a seat at the table for the technical decisions that will define the next phase. #J-18808-Ljbffr

MOO brings brands to life in a sustainable way, with a range of remarkable print and merchandise products. We combine design, technology, manufacturing and service, so that people can connect in memorable ways. Not online but out there, in real life. We started in 2004. Since then we’ve built an award-winning and much-loved brand, with customer satisfaction and Trustpilot ratings that make most businesses want to give up and hire an army of review bots. We’ve got half a million customers, mostly small and medium businesses in North America, the UK, and Europe – businesses that, like us, get all excited about putting something real and beautiful into people’s hands. Does that make us nerds? Probably, and we’re ok with that. We’ve been given the highest business award in Britain, ‘The Queen’s Award for Enterprise’. Backed by venture capital, we’re part of Tech Nation’s ‘Future Fifty’, recently passing $1bn in lifetime revenue, and featuring in the Guardian’s top 10 UK start-ups list. Ok, we’ll stop bragging now. Today, we’re more than 400 people with our global HQ in London, UK, while we also have premises in Dagenham. In the US, you’ll find us in Boston, MA, as well as East Providence, RI and Denver, CO and with our most recent office expansion in Cape Town South Africa. At MOO, technology runs the whole length of the business. From the moment a customer lands on the site and starts designing, through checkout and order orchestration, all the way to the machines on our factory floor that print, cut, and finish the product. We're a vertically integrated company: we design it, we make it, and we sell it. Few technology leaders get to work across a scope this broad. We're looking for a VP of Technology to lead our technology organisation through a period of significant change and investment. We're modernising the platform that powers our ecommerce experience, connecting it more tightly to the post-purchase and manufacturing systems behind it, and raising the bar on how our teams build. You'll be the most senior technology leader in the business, sitting alongside our commercial, product, and operations leaders, representing technology to our executive team, and our board and accountable for the health, performance, and output of the whole organisation. The direction is set and the team is moving. We are not looking for someone to tear it up and start again, and we are not looking for a caretaker either. We want someone who raises the ambition, pace, and standards of a team that has momentum, and who changes things by building trust rather than by decree. The mission matters and the ambition is high, and there's real work to do: sharpening how we deliver, growing and keeping brilliant people, and making deliberate, well-sequenced technology bets that move the business forward. Represent technology at the top of the business. Own the technology strategy, the budget, and the narrative. Face off with the executive team and the board and make the case for where technology investment goes and what it returns. Lead the functions. Own functional leadership across all of technology, spanning our ecommerce teams (storefront through checkout), our post-purchase and fulfilment teams, and the systems that run our manufacturing operations, with our platform and IT functions joining as part of an org design you will lead. Set the standards, the technical direction, and the way the team operates. Set the pace. Hold the organisation accountable for outcomes, through your leaders rather than around them. Raise the ambition and the standard, and give your engineering leaders the support and air cover to deliver at pace. Build and grow a high-performing team. Hire well, develop your leaders and engineers, and create the conditions where great people do their best work and choose to stay. Own the engineering culture, the performance bar, and how the organisation is structured. Partner across the business. Work closely with Product, Commercial, and Operations leadership to turn strategy into a credible, sequenced delivery plan. Translate engineering investment into business outcomes, and make the trade-offs visible. Drive the platform forward. Steer the modernisation of our ecommerce platform and its connection to the systems behind it, keeping delivery flowing while the foundations change underneath. Make pragmatic build-versus-buy calls and sequence the work so the business sees value quickly rather than only at the end. Raise the engineering bar. Own quality, reliability, and delivery performance across the organisation. Bring rigour to how we measure and improve throughput, stability, and the day-to-day developer experience. Lead responsible AI adoption. Champion the effective and responsible adoption of AI tooling and modern software development practices across the team. Set the guardrails, prove the value, and help our engineers do better work, faster. • A strong track record of senior leadership. You've led engineering organisations, not just teams: you've managed managers, grown other engineering leaders beneath you, and owned org design at scale., • A track record of taking an organisation through a step-change in pace and performance, or through a major transformation, and delivering the result. You've moved an organisation forward, not only held one together., • You operate as a true executive: you help shape company strategy and set technical direction, rather than waiting for it to be handed down., • Experience operating with boards and investors in a growth or investor-backed business, and comfortable being the technology voice in that room., • Breadth across the stack: experience with customer-facing ecommerce or consumer web, and with the operational, back-office, or supply-chain systems behind it. Exposure to manufacturing, logistics, or physical-product operations is a strong plus., • Experience modernising a significant platform, ideally moving from a monolith toward a modern, service-based or headless architecture, without stalling delivery along the way., • A genuine talent for building and retaining high-performing teams, with a high hiring bar and a real investment in growing people., • Hands-on fluency with AI-assisted development and modern SDLC practices, and a clear point of view on adopting them responsibly and effectively., • Commercial instinct: you connect engineering decisions to revenue, cost, and customer outcomes, and you can hold your own with commercial and finance leaders., • Clear, credible communication with engineers and executives alike, and the judgement to know which conversation you're in., • A healthy, well-structured organisation that delivers predictably, where great people are set up to do their best work and want to stay., • Platform modernisation progressing against a plan the whole business understands and believes in., • A technology cost line the CFO understands and trusts, with a clear line from investment to business outcome., • AI-assisted ways of working adopted deliberately and measurably across the team., • Product, commercial, and operations partners who trust engineering to deliver, with the trade-offs behind the roadmap made clear. MOO’s the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success – while also recognising the importance of a healthy work/life balance. That’s why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We’ll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program. • 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave., • We’ll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme., • We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program. We are working hard to create a representative, inclusive and super-friendly team, because we know that different experiences, perspectives and backgrounds make for a better workplace. And that creates a better experience for our customers. MOO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values-driven, purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment, welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore, we’d like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it won’t in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential, it is only used to better our inclusion and diversity efforts.By submitting this information, you consent to MOO's processing of it for these purposes. #J-18808-Ljbffr

Lead Data Scientist (Machine Learning), Golden Phoenix Programme About the project: Project uses machine learning to support gasoline blending decisions. The role: You will lead a small team of data scientists to design, build, deploy and improve classical machine learning models in production. You will be the main technical voice on model performance with business and technology stakeholders. You will turn business requirements into modelling approaches and keep finding ways to make the models more accurate and more useful. • Lead, coach and set direction for a team of data scientists, including code and model reviews., • Turn business requirements from traders, blenders and SMEs into clear modelling problems and success criteria., • Design, build and validate classical ML models, mainly regression., • Explain model performance, trade-offs and limitations clearly to technical and non-technical audiences, including governance forums., • Look at different ways to optimise the models, such as feature engineering, algorithm selection, hyperparameter tuning, handling poor data quality and comparing results against linear or manual baselines., • Own model documentation, including model cards, validation evidence and SME sign-off for each release., • Work with engineering to take models into production and set up monitoring and retraining (MLOps) in AWS., • Help with planning, estimates and risk management alongside the delivery lead., • Very strong hands-on data science experience, with a strong focus on classical machine learning., • Proven team lead experience, guiding and developing data scientists., • A track record of deploying ML models into production and supporting them there., • Please note: this is a classical machine learning role. It is not a generative or agentic AI role., • Essential, • Expert Python skills (pandas, NumPy, scikit-learn, XGBoost/LightGBM or similar) and strong SQL., • Strong communication skills, including explaining model behaviour and performance to senior stakeholders., • A structured approach to understanding requirements and improving models step by step., • MLOps experience (CI/CD, model monitoring, versioning), • Hands-on AWS ML experience (for example SageMaker)., • An understanding of oil, refining, fuels blending or chemistry, such as product specs, blend properties or lab data., • Experience in trading, energy or other commercial environments. #J-18808-Ljbffr

Lawhive is an AI-native law firm operating in the US and UK. We partner with leading Main Street law firms and give their lawyers and back-office teams what they need to grow faster than they could alone: our own AI platform, plus marketing and operational support. We build that platform ourselves, alongside the people who use it every day. That means no guessing what users want, no six-month feedback loops, and no compromises to fit someone else’s product. At its heart is Lawrence, our AI agent for legal work. Lawrence takes on the heavy lifting so lawyers can put their judgement where it belongs: at the centre of every matter. We’re a team obsessed with building the best tools in legal. We're backed by a $60M Series B at a $685M valuation, from investors including Google Ventures, TQ Ventures, Mitch Rales, Balderton Capital and Premier League footballers Harry Maguire and Reece James. In the last few years we've hit milestone after milestone, raising over $110M in funding. Today, we're on track to exceed $100 million in annual revenue, and we have offices in London, New York, Austin, and Phoenix. So if you want your work to have real, tangible impact as we redefine an entire industry, Lawhive is where you can make it happen. We're about to bring hundreds of new users onto our platform, and design shapes how every lawyer and back-office team experiences it. As a Senior Product Designer, you'll own design for the squad setting the bar for compliance and data visualisation in legal tech, empowering law firm managers to make better decisions. You'll work day to day with a PM and engineers on data-heavy, mission-critical work, designing new agentic UX patterns that lawyers rely on, including how they work alongside AI agents. You'll take problems from discovery to shipped: talking to users, shaping the solution, prototyping and testing it, and seeing it through with engineering. You'll make the calls, and you'll have the craft to back them up. And our users are part of the company. You'll have direct access to the people you design for, validate ideas and prototypes with them and ship improvements fast. You'll shape how lawyers work with AI. You'll design the patterns that keep human judgement at the centre of every matter, with agents working alongside. You'll have real access to users. Our users are part of the company, so you can test an idea and ship improvements fast. You'll own your squad's design end to end. You'll be part of a small, strong design team, with the scope to set the direction for your area. You’ll be working at the cutting edge of UX. We’re defining new patterns in UX for how users collaborate with agents to get their work done in novel ways. You'll change how an entire industry works. Law is one of the oldest industries and is going through a radical shift that we're driving. What you design changes how lawyers serve their clients. 5+ years designing B2B SaaS products. You've owned end-to-end UX for data-heavy, multi-user products and can show the results. Strong design fundamentals. You’ll be able to demonstrate great skill in UX, UI, layout, type and hierarchy, with real working files behind your portfolio, not just polished slides. User research and validation. You talk to users regularly and turn what you learn into clear decisions. Design conviction. You don't hand over options and wait to be told. You make the call, back it with evidence and bring the team with you. AI-native in how you work. AI is part of how you design every day. You prototype in code, build and test ideas in the browser, and use the latest AI tools to move faster than any traditional design process allows. Ownership and pace. You share work early, act on feedback quickly and keep things moving without being chased. Strong collaboration. You’ll work closely with your PM and engineers, as well as with the wider design team, and you're confident presenting to users and leadership. Bonus Points If You Have Experience maintaining, scaling or governing a design system. Experience designing data visualisation or BI products. Experience in legal tech, professional services or another regulated industry. Introductory call with our Talent team Interview with our Head of Product Design In-person case study: present a project you've shipped, then meet the team Values interview with one of our Founders We offer! Benefits Meaningful early-stage equity at one of Europe’s fastest growing startups 25 days of holiday plus bank holidays, and an extra day for your birthday, moving day and wedding day, with the opportunity to earn up to 5 more days with tenure! Private Medical Insurance via Bupa (including subsidised gym membership) Cycle to work scheme Nursery benefits Pension contribution via Nest Work from anywhere for a month Top-spec Macbook Regular team building activities and socials! Diversity at Lawhive At Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team, and as we scale, we’ll only ever increase the focus we apply to this. #J-18808-Ljbffr

We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We’ve grown annual recurring revenue from $1 million to $50 million in two years. To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund. If you want to join us in doing work worth shipping, jump in. A Senior Full-Stack Engineer who owns new features end-to-end: the React interface a clinician clicks, the Python service behind it, and the data model underneath. You have shipped SaaS products inside a high-growth startup, and a slow query bothers you as much as a component that drops frames. You know where the trade-offs live on both sides of the stack: when logic belongs in the browser and when it belongs on the server, and how a schema decision made today shows up as latency on screen in six months. You take a loose brief and return a working, tested feature without waiting for a hand-off from another team. You read the user need behind the ticket. You thrive in a flat, flexible team, and you pick up the specifics of building an AI product for clinicians in 190+ countries within your first weeks. Brilliant people come from unlikely places. If you have a record of shipping hard, technically demanding products and features, whatever the industry, we want to meet you. You will work alongside the engineers who built Heidi, shipping AI products that change how healthcare runs. • Own features from database to browser: design the data model, build the Python service, ship the React and TypeScript interface, then watch how clinicians use it and iterate., • Build fast, accessible interfaces in React, TypeScript and Next.js that hold up for a GP seeing twenty patients before lunch., • Design, build and run high-performance backend services in Python, with MongoDB and Redis for storage and caching., • Design APIs the rest of engineering and the AI team build on, and own their versioning, documentation, testing and security., • Develop and manage message queue systems for real-time data processing., • Shape the cloud infrastructure your features run on so they scale and stay up., • Pair with product, design and AI engineers to turn a brief into a shipped workflow, then measure and go again., • Write code your colleagues can read, test and extend six months from now., • 5+ years of software engineering experience, with production work on both the frontend and the backend., • Strong React and TypeScript, plus Next.js or a comparable framework. You know the browser: rendering performance, state management, accessibility., • Python in production: building, testing and running backend services., • Hands-on MongoDB and Redis, with sound judgment on data modeling, design patterns and trade-offs., • Experience building and managing message queue systems at scale., • Deep understanding of API design: security, versioning, performance and the contract between client and server., • Application and data security knowledge on both sides of that contract., • Experience integrating with third-party systems., • Testable, communicative code, and fluency with source control and CI/CD pipelines., • A record of building systems that scale, stay up under load and hold up to security scrutiny., • Passion for AI, shown through hands-on building, prototyping or side projects., • You default to building over requesting., • You're confident in your thinking and open to being wrong. Great ideas win regardless of who surfaces them., • Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism., • Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that., • Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford., • Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander., • Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless., • Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. You’ll join a team measured on real‑world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser‑focused on exacting the change we’d like to see. We’re medicos, engineers, builders and designers who’ve felt (on every side of the equation) what non-care feels like, the moral and practical toll as a provider or receiver. Building what we’re building isn’t always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn’t choose easy, we chose a purpose-driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. True A-players progress extremely fast here. The nature of the scale‑up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. We offer health and dental cover, a £700 annual learning and development budget, a £100/month health and wellness allowance, a £500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to £7,000, four weeks of work from anywhere per year, and serious equity. We chose to open-source our benefits hub, if you care to take a peek. #J-18808-Ljbffr

bp is seeking a Lead Data Scientist (Machine Learning) for the Golden Phoenix Programme in London. You will lead a small team of data scientists to design, build, deploy and improve classical ML models in production, acting as the main technical voice on model performance with business and technology stakeholders. Turn business requirements from traders and SMEs into modelling problems, own model documentation, and collaborate with engineering for MLOps in AWS. #J-18808-Ljbffr

Are you ready to make an impact at the intersection of finance and technology? At JPMorgan Chase, you’ll help drive innovation in investment decision-making and client engagement. You’ll work with advanced analytics, enterprise data platforms, and generative AI solutions that power our global business. We offer career growth, mobility, and the opportunity to collaborate with talented professionals across the firm. Your skills will help us deliver secure, scalable, and measurable solutions for our clients. As an Applied AI & Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data. You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions. You will join a small, globally connected team with the resources and impact of one of the world’s largest financial institutions. • Design and implement scalable architecture for LLM-powered investment tools, ensuring integration, governance, observability, and access control, • Build and scale AI applications and automated workflows using models, retrieval, and tools, with orchestration for state management and human oversight, • Develop context-management and retrieval-augmented generation (RAG) capabilities, including ingestion, chunking, metadata, embeddings, hybrid search, reranking, and grounded outputs, • Create reliable data and knowledge pipelines that transform enterprise content into high-quality inputs for AI applications, • Establish engineering standards for reusable tools and model integrations, including interfaces, permissions, testing, failure handling, and documentation, • Implement evaluation and end-to-end observability for AI systems, optimizing for quality, groundedness, task completion, latency, token usage, cost, reliability, and business impact, • Partner with portfolio managers and research teams to understand investment processes and translate them into practical solutions, • Hold a Master’s degree or PhD in computer science, statistics, mathematics, engineering, econometrics, or a quantitative field, • Demonstrate a strong foundation in statistics, probability, experimental design, and machine learning, with sound judgment in method selection and interpretation, • Possess hands‑on experience building, deploying, and scaling LLM-powered applications, including retrieval, tool use, workflow orchestration, state management, structured outputs, and evaluation, using frameworks such as LangGraph, Semantic Kernel, LlamaIndex, or equivalent, • Apply practical knowledge of prompt and context design, embeddings, vector and keyword search, reranking, model selection, and optimization for quality, latency, and cost, • Exhibit strong Python and SQL skills, with experience using common data and machine learning libraries and frameworks, • Show numerical intuition and understanding of financial markets, investment research, portfolio construction, risk, performance, and investment data, • Translate ambiguous business requirements into scalable technical solutions and communicate technical trade-offs to stakeholders, • Deliver generative AI or machine learning solutions in a regulated enterprise environment, • Bring front-office or buy-side experience, especially in investment research, portfolio analytics, performance attribution, or decision analytics, • Incorporate unstructured or alternative data into research and production workflows, • Demonstrate familiarity with Model Context Protocol (MCP) or comparable standards for securely connecting AI applications to enterprise data, tools, and services, • Apply experience with LLM observability and evaluation standards or platforms such as OpenTelemetry, OpenInference, Arize Phoenix, LangSmith, or equivalent, including traces across model, retrieval, and tool-execution steps, • Show familiarity with knowledge graphs, multimodal models, fine-tuning, synthetic data, or advanced model-evaluation techniques, • Apply experience with time-series analysis, forecasting, and quantitative research, • Hold or be progressing toward the CFA designation J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Join a globally connected team to build AI-powered investor tools and shape the future of intelligent investment solutions. #J-18808-Ljbffr

At AKQA (part of WPP), we believe in the imaginative application of art and science to design a better future. Our Technology teams combine engineering excellence, creativity and innovation to build intelligent digital products, platforms and experiences for some of the world's most ambitious brands. Architect, develop and deploy production-ready AI systems, including agentic workflows, multi-agent orchestration, retrieval-augmented generation (RAG) and intelligent automation solutions. Lead the technical design and implementation of AI-powered digital products, applications and platforms, ensuring solutions are scalable, secure, reliable and maintainable. Design and integrate agent tools, APIs and Model Context Protocol (MCP) interfaces, enabling secure and efficient interaction with enterprise systems, databases and external services. Develop compound AI architectures combining large language models with specialised models, semantic search, classification, re-ranking and deterministic workflows to improve accuracy, performance and cost efficiency. Build robust evaluation frameworks, automated testing, guardrails and observability capabilities to monitor model behaviour, output quality, hallucinations, latency and operational performance. Apply strong engineering judgement to model selection, prompt engineering, structured outputs, fine-tuning and retrieval strategies, balancing technical requirements with commercial objectives. Design and develop backend services, APIs and integration layers using Python, TypeScript, Node.js and modern cloud technologies. Collaborate with front-end, mobile and product engineering teams to integrate AI capabilities into modern web applications, including React, Next.js and headless digital platforms. Implement effective strategies for managing token usage, caching, latency, rate limits, fallback mechanisms and graceful degradation across AI services. Establish CI/CD practices for AI systems, incorporating automated evaluations, regression testing, version control and reliable deployment processes. Work with cloud and model platforms such as Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI, OpenAI and Anthropic to design and deliver enterprise-ready solutions. Partner with creative, strategy, UX and technology teams to explore innovative applications of AI and translate concepts into technically feasible solutions. Provide technical leadership and architectural guidance to engineering teams, promoting high standards of software quality, security and engineering best practice. Engage with clients and senior stakeholders to communicate technical approaches, explain architectural decisions and shape solutions that deliver meaningful business value. Significant experience in backend, platform or software engineering, with a strong understanding of distributed systems, microservices, asynchronous processing, API architecture and cloud infrastructure. Proven hands‑on experience designing, deploying and maintaining generative AI or agentic systems in production, with a strong track record of delivering commercially deployed AI engineering solutions. Advanced proficiency in Python and/or TypeScript/Node.js, with a commitment to writing clean, testable and maintainable production code. Strong practical understanding of LLM architectures, agentic workflows, tool calling, RAG, embeddings, vector databases and hybrid retrieval techniques. Experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vercel AI SDK or custom‑built orchestration solutions. Demonstrable experience developing AI evaluation and observability capabilities, using tools such as LangSmith, Arize Phoenix, Braintrust, Helicone or OpenTelemetry. Strong understanding of software architecture, security, authentication, data management and enterprise integration patterns. Experience implementing automated testing and CI/CD pipelines, including unit, integration and regression testing, with an understanding of how to evaluate non‑deterministic AI systems. Practical knowledge of cloud infrastructure and AI model ecosystems, including the operational considerations involved in deploying and scaling intelligent applications. Understanding of modern digital product development, including web applications, headless CMS platforms, APIs and front-end technologies. Ability to balance technical ambition with practical considerations around cost, latency, performance, security and maintainability. A curious and pragmatic approach to emerging technologies, with the ability to distinguish meaningful innovation from experimentation and identify where AI can deliver genuine value. Confident communicating complex technical concepts to clients and non‑technical stakeholders, contributing to solution design and technical decision-making. Comfortable taking ownership of technical architecture while remaining actively involved in hands‑on engineering and delivery. Experience working within a digital agency, technology consultancy or product‑led environment, collaborating across multidisciplinary teams and managing client expectations. A collaborative, proactive and technically curious individual who enjoys solving complex problems and delivering high-quality engineering solutions. Будет плюсом: Exposure to fine‑tuning smaller or open‑weight models, such as Llama or Mistral, for domain‑specific applications would be advantageous; Experience with design‑to‑code workflows, Figma integrations, design systems or generative user interfaces would be beneficial Explore our extensive range of benefits here. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. #J-18808-Ljbffr

Senior Full Stack Engineer / Developer (TypeScript Elixir AWS) London / WFH to £100k Do you enjoy problem solving and working with a range of technologies including functional programming languages such as Elixir, using the right tool for the job? You could be progressing your career in a senior, hands‑on Full Stack Engineer role at a successful and profitable energy trading market data scale‑up. • Competitive salary, to £100k + Significant Equity, • Hybrid working (3 days London office per week), • Vitality Healthcare, • Continuous career development and learning opportunities, • Influential role as part of a small, close knit team, • Complex and interesting work As a Senior Full Stack Engineer you will take ownership, working on technically challenging Greenfield development projects. You'll be working on complex problems with scalability and reliability in mind, across the full development lifecycle from architecture and design through to implementation. There's a range of technology in the stack, you'll have a 50/50 split between backend and frontend development using TypeScript, Elixir, Elm and AWS amongst others, learning and picking new things up on the job in a collaborative, tech driven environment where you can get stuff done and see the results of your work. You’ll join the team in London three days a week in a hybrid work from home model. You are degree educated in Computer Science or similar STEM discipline, having achieved a 2.1 or above from a Russel Group / Oxbridge or top 100 global university. • You are an experienced software engineer with a strong knowledge of best practices and Computer Science fundamentals and experience of delivering complex, data centric software, • You have advanced analytical and problem solving skills, • You're comfortable taking ownership of projects and mentoring more junior team members, • You have strong TypeScript skills, combined with any backend programming language (e.g. Python, Java, C++, C#), • You're happy to work with the following tech stack (you don't need experience with all): Elixir, Ember, Elm, Phoenix, LiveView, Python, PostgreSQL, AWS, Docker, • You have an analytical mindset and enjoy problem solving, • You have experience of working in start-ups / SMEs and have good business acumen, • Ideally you will have a good understanding of financial markets To find out more about this Senior Full Stack Engineer / Developer (TypeScript Full Stack Elixir) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values. Referrals increase your chances of interviewing at Client Server by 2x. • Mid‑Senior level, • Full‑time, • Engineering and Information Technology, • Software Development and Technology, Information and Media #J-18808-Ljbffr

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We’ve grown annual recurring revenue from $1 million to $50 million in two years. To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund. If you want to join us in doing work worth shipping, jump in. Heidi is building AI that works at the frontier of clinical practice. As we pursue medical device registration and expand our clinical trial portfolio and product portfolio, we need someone who can hold the full arc from regulatory strategy to research protocol to working prototypes and translate across all of them. This role is designed for a rare profile: clinically trained, technically capable, and research-rigorous. You will own the innovation pipeline from problem identification through validated prototype, coordinate the company's clinical research programme, and serve as the internal bridge between product, regulation, and evidence. You will operate as a senior individual contributor with a small specialist team and broader cross-functional mandate. Research & Evidence Programme Lead and support clinical trials and pilots adjacent to product development and regulation from protocol through analysis and dissemination Design evaluations with research/publication-grade rigour: statistical power, confounder control, reproducible methodology Provide analytical support company-wide - elevating ad hoc analysis to defensible evidence Regulatory & Compliance Intelligence Translate evolving UK and international medical device regulation into actionable product and development constraints Generate and maintain technical documentation, clinical evaluation reports, and post-market surveillance artefacts - directly analytically supporting the regulatory team. Partner with compliance to ensure regulatory soundness is built in, not bolted on, a strategic moat, not a checklist Serve as the accessible regulatory resource for product, engineering, models and commercial teams: making regulation legible, usable and deeply embedded into all engineering practices. This role is strategic support, and ownership of all product and regulatory adjacent research activities with a strong supporting team to drive progress and delivery. Cross-functional AI & Research Support Act as a senior research partner to product squads, commercial teams, and leadership, providing evidence, framing decisions, and raising analytical standards Supporting commercial requests with tender applications etc… Clinical Qualified clinician with active understanding of clinical workflow, risk, and patient safety Experience in medical device or clinical AI evaluation, including familiarity with MHRA, UKCA, and/or EU MDR frameworks Research Postgraduate research training in a relevant field (clinical informatics, AI/ML, health data science, or similar) Demonstrated ability to design, execute, and disseminate clinical or applied research independently Fluency in quantitative methods: statistical modelling, NLP evaluation, speech analytics, and performance benchmarking Skills in implementation science and translational projects involving new technologies Leadership & Communication Strong written communication, capable of producing high-quality documentation for clinical, regulatory, and commercial audiences Collaborative operator in a fast-moving environment; able to work across seniority levels and functions Experience managing small teams or contractors; structured, outcome-oriented Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. You’ll join a team measured on real-world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders and designers who’ve felt (on every side of the equation) what non-care feels like, the moral and practical toll as a provider or receiver. Building what we’re building isn’t always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn’t choose easy, we chose a purpose-driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. We offer 25 days of paid time off per year, 24/7 mental health, coaching and wellbeing support through Sonder, a €100/month Healthy Heidi's wellness stipend, a €500 home office budget, a €700 annual learning and development budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to €7,000, up to four weeks of work from anywhere per year, Recharge Days after major milestones and busy periods, 10 days per year of clinical leave for eligible clinical roles, and a hybrid working environment with 3 days in the office. We chose to open-source our benefits hub, if you care to take a peek. Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. #J-18808-Ljbffr

We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We’ve grown annual recurring revenue from $1 million to $50 million in two years. To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund. If you want to join us in doing work worth shipping, jump in. A Senior Full-Stack Engineer who owns new features end-to-end: the React interface a clinician clicks, the Python service behind it, and the data model underneath. You have shipped SaaS products inside a high-growth startup, and a slow query bothers you as much as a component that drops frames. You know where the trade-offs live on both sides of the stack: when logic belongs in the browser and when it belongs on the server, and how a schema decision made today shows up as latency on screen in six months. You take a loose brief and return a working, tested feature without waiting for a hand-off from another team. You read the user need behind the ticket. You thrive in a flat, flexible team, and you pick up the specifics of building an AI product for clinicians in 190+ countries within your first weeks. Brilliant people come from unlikely places. If you have a record of shipping hard, technically demanding products and features, whatever the industry, we want to meet you. • Own features from database to browser: design the data model, build the Python service, ship the React and TypeScript interface, then watch how clinicians use it and iterate., • Build fast, accessible interfaces in React, TypeScript and Next.js that hold up for a GP seeing twenty patients before lunch., • Design, build and run high-performance backend services in Python, with MongoDB and Redis for storage and caching., • Design APIs the rest of engineering and the AI team build on, and own their versioning, documentation, testing and security., • Develop and manage message queue systems for real-time data processing., • Shape the cloud infrastructure your features run on so they scale and stay up., • Pair with product, design and AI engineers to turn a brief into a shipped workflow, then measure and go again., • Write code your colleagues can read, test and extend six months from now., • 5+ years of software engineering experience, with production work on both the frontend and the backend., • Strong React and TypeScript, plus Next.js or a comparable framework. You know the browser: rendering performance, state management, accessibility., • Python in production: building, testing and running backend services., • Hands-on MongoDB and Redis, with sound judgment on data modelling, design patterns and trade-offs., • Experience building and managing message queue systems at scale., • Deep understanding of API design: security, versioning, performance and the contract between client and server., • Application and data security knowledge on both sides of that contract., • Experience integrating with third-party systems., • Testable, communicative code, and fluency with source control and CI/CD pipelines., • A record of building systems that scale, stay up under load and hold up to security scrutiny., • Passion for AI, shown through hands-on building, prototyping or side projects., • You default to building over requesting., • You're confident in your thinking and open to being wrong. Great ideas win regardless of who surfaces them., • Build for the next decade, not next quarter . Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism., • Lead, don't wait . We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that., • Follow the evidence . Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford., • Own the outcome . Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander., • Ship, measure, go again . A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless., • Live in clinicians' reality . Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. You’ll join a team measured on real-world impact, not press cycles. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders and designers who’ve felt (on every side of the equation) what non-care feels like, the moral and practical toll as a provider or receiver. Building what we’re building isn’t always easy. Standard tech playbooks routinely fail in healthcare, and the friction of the medical system will test your perseverance. But we didn’t choose easy, we chose a purpose-driven mission that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognize that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. We take care of you. We offer health and dental cover, a £700 annual learning and development budget, a £100/month health and wellness allowance, a £500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to £7,000, four weeks of work from anywhere per year, and serious equity. We chose to open-source our benefits hub , if you care to take a peek. #J-18808-Ljbffr

AtlasBrands is a holding company building the next generation of DTC health and wellness brands. This year we grew a brand from zero to multi-eight-figures, and we're just getting started. Now we’re doing it again, across more brands. Today AtlasBrands is made up of four brands, and with new launches underway, we're on track to reach ten by the end of the year and $100M ARR in 2027. Growth like that isn't powered by products or ad spend alone. It's powered by people, which is why we're building a world-class team of A players who move fast, own everything they touch, and refuse to settle for good enough. Because one team powers every brand we own, every great hire doesn't move one brand, it moves all of them. The people who join now won't just ride this growth. They'll be the reason for it. If that excites you more than it scares you, we want to talk. AtlasBrands is looking for a Head of Web Experience & CRO to serve as the single point of accountability across all portfolio websites and high-converting funnels. You will act as the operational lead for everything website-related — from pre-lander to third-party checkouts, and post-purchase one-click upsells. Operating as a disciplined player-coach, you will run an AI-powered testing engine and build the department behind it, ensuring every site runs bug-free while systematically driving conversion rate, average order value (AOV), and profit per visitor without executive day-to-day management. • Audit & Executive Transition: Complete a full audit of all live brand pages, offers, third-party checkouts, and post-purchase upsell flows; present a prioritized test roadmap across 10+ SKUs/brands. Fully relieve executive leadership from day-to-day website and CRO troubleshooting, ensuring every escalation comes with a recommended solution., • Hands-On Pre-Sales & Copywriting Engine: Own the ideation, copywriting, and end-to-end creation of high-converting pre-sales pages (advertorials, listicles, comparison pages). Personally draft direct-response copy that aligns with winning ad angles rather than just managing external copywriters., • High-Velocity CRO & A/B Testing Execution: Drive deep CRO expertise to ideate, build, and launch high-velocity A/B tests spanning product pages, advertorials, slide carts, third-party checkout flows, and post-purchase one-click upsells. Ensure every test targets the highest expected-lift backlog item with written hypotheses, rigorous statistical methodology, and proper sample sizing., • Building From Scratch & Multi-Brand Scaling: Build brand-new funnels, landing pages, and checkout flows from scratch across a broad portfolio (managing 10+ SKUs/brands concurrently) rather than relying solely on incremental page optimizations., • Compounding Metric Lifts: Maintain a high test win rate with statistical significance, shipping consistent wins per brand to drive compounding gains across on-page conversion, checkout order value, and post-purchase upsell take rates., • Cross-Brand Intelligence & Creative Congruency: Log all test outcomes in a shared win library and adapt winning checkout and upsell structures across relevant portfolio brands. Sync weekly with Performance Creative to ship congruent pre-landers and product page variants for all validated ad angles., • Technical Health & Tracking: Maintain bug‑free product launches, optimize third‑party checkout and upsell integrations, resolve minor technical issues rapidly, and fix critical incidents (outages, broken checkouts, lost tracking) immediately., • AI Dashboards & Department Building: Build live AI‑driven dashboards (using Claude) tracking step‑by‑step conversion rates, order values, one‑click upsell conversion rates, and profit per visitor. Grade current talent and fully staff the department with A‑players to dramatically accelerate brief‑to‑live production speed., • Direct-Response Funnel Mastery: Deep, hands‑on experience ideating, drafting copy for, building from scratch, and systematically optimizing pre-landers, advertorials, listicles, product detail pages, offers, third-party checkouts, and post‑purchase upsell funnels., • Third-Party Checkout & One‑Click Upsell Expertise: Proven, deep experience configuring, customizing, and scaling third‑party checkout engines (specifically Phoenix, Checkout Champ, Sticky IO, or custom headless/API checkout platforms) to maximize checkout conversion and post‑purchase one‑click upsell take rates., • AOV Optimization & Offer Architecture: Mastery of post‑purchase offer structuring, downsells, order bumps, bundle logic, and subscription conversion tactics that directly increase customer lifetime value and profit per visit., • Experimentation Rigor: Expert ability to rank backlogs by expected lift, write sharp hypotheses, size sample sets accurately, and interpret statistical significance without calling tests early., • Multi‑Brand Leadership: Demonstrated track record leading website, web experience, and CRO strategies across multiple e‑commerce/DTC brands simultaneously through shared systems and teams (ideally 10 SKUs, products, or brands at once (or more)., • Analytics Depth: Advanced data literacy; ability to spot tracking gaps, checkout attribution errors, and funnel drop‑offs before anyone asks., • AI & Technical Tooling: Daily application of AI (Claude/LLMs) to build pages, write copy, analyze tests, run QA, and build dashboards. #J-18808-Ljbffr

Valarian: A New Era of Sovereign Intelligence Valarian is a dual use technology company building critical tools to safeguard the future in an era of evolving global security challenges. Backed by a Series A funding round of $50m led by NEA, we are rethinking security beyond traditional military domains to address asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We provide the control infrastructure that allows government and regulated enterprise to put frontier-class AI to work safely. We are bringing a frontier AI experience inside secure boundaries for the first time. Our technology supports mission critical workflows across government, healthcare, and enterprise, including: Scaling open-weight models without external inference endpoints. Putting frontier class AI to work across organisations through partnerships with other leading AI startups such as Perplexity. Increasing operational resiliency for air gapped, on prem, and cloud based systems. Securing intellectual property and maintaining auditability for high stakes enterprise environments. Facilitating secure information flow during disaster response, M&A due diligence, and privileged legal communications. We’ve only scratched the surface. Built in Britain by veterans of the Ministry of Defence, British Forces, Darktrace, and elite engineering backgrounds, we are driven by a shared mission to safeguard western democracy. Whether you join our London HQ or our wider global organisation, you’ll be part of a collaborative, high performing team creating the cutting edge software and infrastructure that defines the frontier of enterprise AI. Valarian: A New Era of Sovereign Intelligence Valarian is a dual use technology company building critical tools to safeguard the future in an era of evolving global security challenges. Backed by a Series A funding round of $50m led by NEA, we are rethinking security beyond traditional military domains to address asymmetric threats that impact our technological advantage, economic strength, and democratic institutions. We provide the control infrastructure that allows government and regulated enterprise to put frontier-class AI to work safely. We are bringing a frontier AI experience inside secure boundaries for the first time. Our technology supports mission critical workflows across government, healthcare, and enterprise, including: Scaling open-weight models without external inference endpoints. Putting frontier class AI to work across organisations through partnerships with other leading AI startups such as Perplexity. Increasing operational resiliency for air gapped, on prem, and cloud based systems. Securing intellectual property and maintaining auditability for high stakes enterprise environments. Facilitating secure information flow during disaster response, M&A due diligence, and privileged legal communications. We’ve only scratched the surface. Built in Britain by veterans of the Ministry of Defence, British Forces, Darktrace, and elite engineering backgrounds, we are driven by a shared mission to safeguard western democracy. Whether you join our London HQ or our wider global organisation, you’ll be part of a collaborative, high performing team creating the cutting edge software and infrastructure that defines the frontier of enterprise AI. We are looking for an experienced Senior MLOps / LLMOps Engineer to lead the deployment, monitoring, orchestration, and operational reliability of our production LLM applications and agentic AI platform. In this role, you will bridge the gap between AI development and production infrastructure, ensuring multi-step agentic workflows, data pipelines, and retrieval-augmented systems run reliably, securely, and at scale within a large-scale Kubernetes environment. Design, deploy, and manage LLM services, agentic applications, and supporting AI workloads inside high-throughput Kubernetes clusters. Automate containerized deployments, scalable inference endpoints, and blue/green or canary rollout strategies for LLM/Agent releases via modern CI/CD pipelines. Support and maintain the production operation of agentic AI workflows, including multi-step tool execution, state management, and multi-agent coordination. Rapidly triage and resolve issues across AI application logic, orchestration frameworks, external API integrations, and underlying cloud infrastructure. Build end-to-end monitoring and evaluation (Eval) frameworks to measure and maintain AI output accuracy, drift, latency, cost, and hallucination metrics. Implement trace-level observability for agent execution paths (tracking prompts, completions, tool calls, and agent steps). Monitor and optimize real-time and batch data pipelines powering AI workloads, including feature stores, vector indexing, and embedding updates. Manage resource allocation (GPU/CPU utilization), memory footprint, autoscaling strategies, and cloud infrastructure expenditure to optimize time-to-first-token (TTFT) and throughput. 3+ years of experience in MLOps, LLMOps, Platform Engineering, AI Infrastructure, or SRE with a focus on machine learning workloads. Hands-on experience managing and deploying complex containerized applications on Kubernetes (EKS, GKE, AKS, or bare metal) at scale. Strong proficiency in Python for backend automation, system debugging, custom tooling, and integration development. Proven experience with standard monitoring/logging tools (e.g., Prometheus, Grafana, Datadog, OpenTelemetry) as well as LLM-specific tracing and evaluation platforms (e.g., LangSmith, Phoenix/Arize, Langfuse, TruLens). Familiarity with modern CI/CD pipelines (GitHub Actions, GitLab CI, ArgoCD) and Infrastructure as Code (IaC) tools (Terraform, Pulumi). Deep operational understanding of agentic architectures, prompt chaining, function calling/tool execution, and non-deterministic application behavior. Practical experience operating Retrieval-Augmented Generation (RAG) pipelines and production vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector, Weaviate). Hands-on exposure to agent development and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI). Experience with high-performance LLM serving engines and frameworks (e.g., vLLM, TGI, Ollama, TensorRT-LLM). Understanding of AI security practices (prompt injection mitigation, data privacy, PII masking) and rate limiting/cost guardrails. Equity - because you have the right to own what you’re building A competitive salary - because we value your unique skills Employer pension contributions - because you deserve a secure future Private health insurance - because your health is important to us Hybrid work setup - because everyone has different needs Gym memberships - because staying active fuels productivity Rewarding company retreats and meetups that respect your work/life balance - because we love getting to know each other Our culture is built on inclusivity, compassion and flexibility - we want everyone to be empowered to achieve their goals at Valarian. The work we do is vital, but so are the connections that make it happen. We thrive on the shared energy, spontaneous conversations, and mutual trust built when we spend time together. We operate on an office first hybrid model, regularly gathering in our London office to support one another and collaborate. Valarian Technologies Limited is an equal opportunity employer and welcomes applications from invdividuals regardless of race, colour, religion, sex, sexual orientation, gender, identity or expression, national origin, age, disability, genetic information, marital status, veteran, amnesty, or any other legally protected characteristic. We are committed to ensuring a fair and inclusive recruitment process and providing employment opportunities to all applicants. Decision recruitment, hiring, and employment are based solely on qualifications, skills, and experience relevant to the job requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Agoda's Marketing team operates at the intersection of business strategy, data, and execution. We build and scale programs across growth, pricing, and commercial initiatives that drive customer value and sustainable business performance globally. We're analytical, fast-moving, and deeply cross-functional — partnering closely with Product, Finance, Corporate Strategy, and Supply to shape Agoda's growth agenda. At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Agoda's Marketing team operates at the intersection of business strategy, data, and execution. We build and scale programs across growth, pricing, and commercial initiatives that drive customer value and sustainable business performance globally. We're analytical, fast-moving, and deeply cross-functional — partnering closely with Product, Finance, Corporate Strategy, and Supply to shape Agoda's growth agenda. We're looking for experience Marketing Growth Strategy & Analytics leaders to own high-impact commercial initiatives from strategy through execution. You'll translate business goals into structured plans, lead cross-functional programs, and use data and experimentation to unlock growth. This role sits at the center of key decisions — influencing how we grow, price, and operate across markets — with strong visibility to senior leadership. • Define and execute strategies within your scope — which may span areas like pricing, channel performance, customer acquisition, retention or go-to-market — translating commercial priorities into testable hypotheses, scalable frameworks, and measurable outcomes., • Lead experimentation roadmaps, including A/B tests and other measurement approaches, to evaluate impact and sharpen decision-making., • Analyze large, complex datasets to surface trends, opportunities, and risks; build dashboards and executive-ready narratives that communicate performance clearly., • Model business impact, evaluate trade-offs, and support planning around P&L, growth, and long-term value creation., • Partner cross-functionally with Product, Finance, Corporate Strategy, Supply, and senior leadership to drive alignment and execution., • Build playbooks and processes that enable repeatability and scale across markets, channels, or partners., • Mentor and develop team members while contributing to a high-performance, test-and-learn culture., • 5+ years of experience in growth, marketing, pricing, strategy, analytics, revenue management, consulting, or related data-driven roles., • Strong analytical and problem-solving skills — comfortable turning ambiguity into clear frameworks and action plans., • Hands-on experience with SQL, Tableau, or similar BI/analytics tools; proven ability to translate data into commercial recommendations., • Practical experience with experimentation, measurement, and performance optimization., • Strong business acumen: P&L drivers, unit economics, growth levers, and ROI., • Excellent communication and stakeholder management skills, with the ability to influence senior and cross-functional audiences., • High ownership and execution discipline in a fast-paced, collaborative environment., • Bachelor's degree in Economics, Statistics, Engineering, Mathematics, Computer Science, Finance, or equivalent practical experience., • Experience in a high-growth digital business (e-commerce, travel, tech, fintech) or an analytically rigorous environment such as management consulting or internal strategy., • Familiarity with statistical analysis, forecasting, machine learning, or hypothesis-testing frameworks., • Experience using Python or R for analysis, modeling, or automation., • People management experience — hiring, coaching, and developing teams., • Experience with external partners, affiliates, marketplaces, loyalty programs, or B2B/B2B2C channels., • MBA or advanced degree (equivalent hands‑on experience equally valued)., • Work on high-impact, global business problems with direct visibility to senior leadership., • Shape commercial strategy in an organization that genuinely values analytical rigor, ownership, and experimentation., • Build and scale initiatives that influence growth, profitability, and customer experience at a global scale. #London #Paris #Berlin #Warsaw #Dublin #Zurich #StLouis #Cracow #Prague #Budapest #Manchester #Rome #Brussels #Frankfurt #Copenhagen #Wroclaw #Munich #Milan #Barcelona #Johannesburg #Bengaluru #Delhi #Hyderabad #PunePimpriChinchwad #Mumbai #Chennai #Singapore #Noida #Randstad #Jakarta #Kolkata #Manila #KualaLumpur #Shanghai #TelAviv #HongKong #Bangkok #Ahmedabad #Coimbatore #SouthKorea #Vietnam #NewYorkCity #SanFranciscoBay #DallasFortWorth #WashingtonDCBaltimore #Chicago #LosAngeles #Atlanta #Boston #Seattle #Austin #Charlotte #Philadelphia #Houston #Denver #Phoenix #MinneapolisStPaul #Nashville #Pittsburgh #KansasCity #Detroit #Vancouver #Montreal #SanDiego #TampaBay #Portland #Orlando #Columbus #SaltLakeCity #Cleveland #Cincinnati #Indianapolis #Toronto #SaoPaulo #Chile #BuenosAires #RioDeJaneiro #Peru #Colombia #SaudiArabia #UAE #Nigeria #CostaRica #Calgary #BeloHorizonte #Campinas #PricingStrategy #revenue #P&L #MSE #MetaSearchEngine #dataanalysis #SQL #dataanalytics #analytics #datamining #datascience #tableau #analyticalskills #datavisualization #databases #businessanalysis #businessintelligence #machinelearning #statistics #microsoft #powerbi #PerformanceMarketing #Travel #Tech At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. Wewill keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. #J-18808-Ljbffr

We’re building the future of healthcare by giving every clinician the earth’s finest AI Care Partner. Our platform has absorbed the administrative chaos of 175 million patient visits and supported 67 million clinical hours. Today, we support 2.8 million patient sessions a week across 190+ countries, in 110 languages and over 200 specialties. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s capacity for care and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we’re expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. We’ve grown annual recurring revenue from $1 million to $50 million in two years. To go further, we’ve secured US$340 million: a $100 million Series C led by Blackbird, with Phoenix Court, Point72 Private Investments and Headline, alongside a $240 million growth investment led by General Catalyst’s Customer Value Fund. Heidi’s UK and Europe business is growing faster than the finance scaffolding underneath it. Central finance across Sydney, Melbourne and Manila runs month-end close, core accounting and day-to-day operations, but the region needs someone on the ground who owns the accuracy of its numbers and sits close enough to the commercial team to shape decisions before they get made. Today, regional leaders wait on Australian hours for answers about their own P&L. You’ll end that. The role has two halves and both carry equal weight. You’ll own regional financial control and compliance: the integrity of the balance sheet, the accuracy of management reporting and forecasts, cash, strong local controls, and statutory obligations across Companies House, HMRC and VAT, directed through external advisers. You’ll also be a hands-on business partner to UK and Europe leadership, Sales and Customer Success, owning the P&L narrative, bringing a commercial view to pricing, deal terms and customer economics, and making sure teams see the financial consequence of the choices they make. You’ll report to the Group Financial Controller with a dotted line to FP&A. Own the integrity of the UK&Europe balance sheet, with reconciliations that stay current, reviewed and explainable Own the accuracy of the UK&Europe monthly group reporting and management accounts with variance commentary that explains movements Be the single point of contact for group finance on anything UK&Europe: queries, adjustments, restatements, consolidation-level questions Own the UK&Europe compliance calendar (Companies House, HMRC, VAT) by directing external accountants and advisers Own the adviser relationships (accounting, tax, audit), keeping work well scoped, reviewed and connected back to Heidi’s internal finance standards Build an early-warning process so compliance risk is caught and escalated well before it threatens trading status Be the accountable owner if something in the compliance chain breaks down Be the day-to-day finance partner to UK&Europe leadership, owning the regional P&L narrative, budget vs actual and the “why” behind the numbers Bring a commercial lens to pricing, deal terms and customer economics, flagging risk and opportunity early Translate regional performance into clear, decision-ready input for FP&A and company leadership Give UK&Europe business leaders a reliable, self-serve view of their numbers, so decisions stop waiting on Australian hours Feed central finance the regional inputs it needs at close: accrual estimates, revenue and spend context, then review and sign off on the UK&Europe result Partner with Sales and Customer Success to resolve aged and disputed balances and unblock stuck revenue Own the commercial view of collection risk: which accounts, why, and what it means for cash, and feed it into forecasting Drive down UK&Europe DSO by fixing the upstream causes (contracting, disputes, process), not by chasing invoices Build the operating rhythm that turns UK&Europe finance from reactive support into a reliable performance framework: clear KPIs, owners, review cadences and escalation paths Partner with budget owners on spend decisions before they are made, rather than policing them after the fact Strengthen financial controls across spend, approvals, vendor onboarding, card usage, subscriptions and commercial commitments, while keeping the process pragmatic for a fast-moving region Review regional AP and card activity, including prompt removal of leaver access and cards, and elevate anomalies to central finance operations Partner with external accountants, tax advisers, compliance providers and other vendors, making sure work is well-scoped, reviewed and connected back to Heidi’s internal finance standards Use FinOps-style discipline to connect spend, usage and outcomes, especially across tooling, GTM systems, implementation costs and region-specific operating expenses Create simple documentation and control checks so the region can scale without relying on informal knowledge or one-off fixes Strong commercial and financial acumen — comfortable moving between P&L narrative, deal economics and cash impact Experience business partnering with Sales, Customer Success or regional leadership in a growth business Track record improving collections or DSO by fixing root causes, not just process Experience owning spend or expense controls in a way that supports the business rather than only governing it Comfortable directing (not necessarily performing) statutory compliance and VAT work through external advisers High degree of autonomy and ownership in a small, remote-first global finance team Clear, confident communicator — able to hold your own with commercial leaders and external advisers alike Experience in a multi-entity or multi-currency business Experience in a high-growth SaaS or technology company Qualified accountant (ACA / ACCA / CIMA or equivalent) Exposure to Companies House, HMRC and Irish Revenue processes Experience with Campfire, Airwallex or similar modern finance tooling Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world’s health doesn’t have the luxury of incrementalism. Lead, don’t wait. We treat tomorrow’s problems today. Sometimes we build what’s needed before it’s wanted, and we’re fine with that. Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can’t afford. Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We’re precise at pace, not reckless. Live in clinicians’ reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we’d better be decent ones while we do it. You’ll join a team focused on real-world impact over imaginary valuations and glossy PR. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders, and designers who’ve felt the moral and practical toll of what non-care feels like. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You’re trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. Building what we’re building isn’t always easy. But we didn’t choose easy, we chose to build something that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognise that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. The work is hard, but you will trust and admire the people you work beside, and rest easy knowing you’re doing the defining work of your career. We offer comprehensive private medical and dental cover through Bupa, 24/7 mental health, coaching and wellbeing support through Sonder, a £100/month Healthy Heidi’s wellness stipend, a £500 home office budget, a £700 annual learning and development budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to £7,000, up to four weeks of work from anywhere per year, Recharge Days after major milestones and busy periods, 10 days per year of clinical leave for eligible clinical roles, and a hybrid working environment with 3 days in the office. We chose to open-source our benefits hub, if you care to take a peek. #J-18808-Ljbffr

MOO is seeking a VP of Technology to lead a large-scale technology organisation in London. You will own the technology strategy, budget, and narrative, and partner with Product, Commercial and Operations to translate strategy into delivery. The role requires senior leadership, executive presence, and a track record of modernising large platforms while maintaining delivery velocity. You will drive platform modernisation, governance, and responsible AI adoption, while building a high-performing #J-18808-Ljbffr

Software Engineer London | Full-time | Hybrid | Shoreditch/Liverpool Street Create the Future of Travel With Us. Whether it's visiting the people closest to us, starting an exciting adventure, or a career-defining business trip, travel is essential. Yet we've all experienced the aches and pains of getting to our destination. More than 4 billion airline passengers rely on technology that hasn't kept up with modern expectations. That's why we're rebuilding the infrastructure that underpins the travel industry - simplifying systems and building tools that will make the future of travel effortless. We were part of Y Combinator S18's cohort and we're backed by Benchmark, Blossom, Index Ventures, and Kima Ventures - a fantastic set of investors that has helped build some of the world's largest companies. Our London team is growing, and we're looking for talented people to join us on our journey. We're building tools to simplify travel distribution, search, and booking through one seamless API. The technical challenge? Design a beautiful API, then integrate it with hundreds of travel providers - each with different systems and requirements - whilst delivering a fantastic developer experience. We work with Elixir, Phoenix, Kubernetes, and Google Cloud Platform, but we value strong engineering fundamentals over specific tech experience. • You're passionate about designing beautiful APIs and creating great developer experiences, • You have a high bar for code quality and API design, • You have opinions on good engineering standards and processes as we define ours at Duffel, • You think big picture - making tradeoffs between technical work and business impact, • You communicate clearly, articulating what you're working on and why in a structured way, • You thrive collaboratively - you believe in your methods but stay open to feedback and suggestions Bonus: Experience in travel, flights, hotels, or cars • Competitive salary + equity (you'll own part of Duffel), • Work from anywhere policy, • Duffel travel allowance (use what we build), • Matched parental leave, • Sabbatical programme (3 months full pay), • Visa sponsorship available, • Office in Shoreditch + regular team socials You'll work on the core API powering millions of travel bookings. Early-stage role = outsized impact on how we build and scale. #J-18808-Ljbffr

Standard Life in London/Edinburgh is seeking a Head of Group Governance - Operations & Effectiveness to drive delivery and improvement of the governance function. You will shape the operating model, adopt governance tech and support board-level decision making. The role requires extensive governance experience, leadership across teams, and strong analytical skills to turn governance data into actionable insight within a regulated FTSE-scale environment. #J-18808-Ljbffr

Phoenix Global Search seeks a VP of Engineering to shape the technical direction of a leading Java-based open-source data platform. You will oversee 40 engineers and 3 engineering managers, driving delivery and architecture with a focus on distributed systems and low-latency performance. This remote-first role in the UK offers a base package up to £217k plus a 15% bonus and equity options. You should have hands-on technical depth, previous scale-up leadership, and a track record of shipping #J-18808-Ljbffr

Job-ID: 21111Category: NicheLocation: London, England, United Kingdom; Telford, England, United Kingdom; Edinburgh, Scotland, United Kingdom; Birmingham, England, United KingdomWorkplace: HybridPosted: 2026-11-04Closes: 2026-11-18Markets change, customer needs evolve and the future rarely behaves li

About 9fin9fin 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 OpportunityThe 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 DifferentUnlike 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 YouThis role will be a great fit if you:AI Platform EngineeringHave 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 AIHave 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 EngineeringAre 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 & InfrastructureHave 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 AgentCoreUnderstand how to deploy, monitor, and operate AI services in production.AI Operations & ObservabilityHave experience implementing monitoring, tracing, evaluation, and cost optimisation for AI systems.Have experience with observability solutions such as Arize Phoenix, Langfuse, or LangsmithUnderstand the operational challenges of deploying LLM-powered applications, including latency, reliability, hallucination monitoring, and model quality evaluation.Collaboration & Technical LeadershipEnjoy 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 PointsExperience with any of the following would be highly advantageous:AI gateways and model routingPrompt management platformsAI evaluation frameworksLangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworksVector databases and semantic retrievalKnowledge graphs or document understanding systemsBuilding internal AI platforms used by multiple engineering teamsBenefitsWe’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 & InsuranceCompetitive Salary (our salary bands are benchmarked at the top end of the market)EquityPension (your minimum contributions are 4% with 9fin matching up to 7%)Private Medical InsurancePaid sick leave with Income Protection for long periods of illnessGroup Life Assurance Season Ticket Loan & Cycle to Work schemesTime off 25 holiday days per yearLocal public holidays (with the ability to exchange them for alternative days)Work abroad for up to 3 months a year1 month paid sabbatical after 5 years of serviceEnhanced parental leave & flexible working arrangements availableTraining & Culture Professional learning and development budgetAI experimentation budget of 800 (UK) per employee to trial AI toolsQuarterly team socialsSummer and Winter company social eventsHybrid Policy9fin is a hybrid company, and the office is a regular part of how we work. From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays. Some teams may be asked to be in the office more often, where the nature of their work calls for it. For the rest of the week, you may work from wherever works best for you and your team. Your Talent Partner will share hybrid working details for this role.9fin is an equal opportunities employerAt 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.LocationLondonEmployment TypeFull timeDepartmentData & AI

Job-ID: 20737Category: NicheLocation: London, England, United Kingdom; Edinburgh, Scotland, United Kingdom; Telford, England, United Kingdom; Birmingham, England, United KingdomWorkplace: HybridPosted: 2026-11-02Closes: 2026-11-09Job Type: PermanentLocation and flexible working: This role would ide

Are you an experienced Chef with a valid Enhanced DBS certificate looking for flexible temporary work across London? We are currently recruiting reliable and passionate Chefs to support a range of clients within the education and healthcare sectors, including: Primary & Secondary Schools Colleges &

We are Phoenix Casting.tv, the longest established casting agency in Wales and the South West, serving London, Birmingham, and beyond since 1995. With over 30 years of experience, we specialize in providing professional supporting artistes, actors, models, presenters, and voice-over talents to film, television, independent, and online productions. Our dedicated and knowledgeable team, combined with user-friendly technology, ensures efficient and personalized casting solutions for hundreds of TV and film projects annually. We are currently seeking a Junior / Entry Level Casting Agent to join our dynamic team. If you are passionate about the entertainment industry and eager to develop your career in casting, we encourage you to apply and become part of a trusted company known for its reliability and strong client relationships. Joining our small, thriving team as a casting agent, you will start at a junior level with opportunities for hands-on development. Key responsibilities include: Talent Management and Casting: Using our bespoke database to interpret client briefs, match registered supporting artists to roles, and manage a portfolio of productions as the main contact for assistant directors. Communication: Liaising with artists regarding work offers and requirements via email, phone, and text (via our system). Office & Call Management: Serving as the first port of call for incoming queries from both artists and clients, managing office administration and routing communications to the appropriate team members. Role: Entry level Junior Casting Agent Purpose : Manage a portfolio of productions and partners, working alongside assistant directors to facilitate the booking of supporting artistes, small parts and voiceover actors from Phoenix's extensive database. You will be the main contact for communications with both productions and artistes alike. Number of hours: 35 hours/week Length of contract: Permanent Salary: up to £27,000 (depending on experience) Person specification: Experience working in a fast paced environment and having to respond quickly to requests and reprioritise workload as necessary Proven track record for managing multiple tasks at once and meeting tight deadlines Driven to succeed with a strong commitment to taking pride in your work. friendly demeanour and excellent communication skills, exceptional organisational skills and strong multi-tasking capabilities Collaborative team player who also demonstrates initiative and ability to manage their own workload effectively Flexibility to work additional hours when required to complete business-critical tasks. Prefrable but not desirable: Quick learner with a strong capacity for information retention Experience of independently leading the day-to-day delivery of multiple complex and sizeable projects. Proficient in Microsoft Office applications and adept at utilising social media platforms. If you are interested in joining Team Phoenix please complete the application below and return it with a copy of your CV to . We will be looking to expand our team in Autumn 2026, interviews will be held first on a rolling basis and we reserve the right to close applications early if the role is filled. Please send through your CV and cover letter if you wish to be considered and we will contact everyone we would like to meet. TPBN1_UKTJ

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