Phoenix jobs in United Kingdom

\n We have an opportunity for an electrician to join Phoenix Community Housing's Repairs Service. \n In this role you will be part of a supportive team that carries out all types of electrical work in homes both internally and externally. You will undertake all aspects of electrical work and any additional works that may be required to deliver an effective first-time fix repair. You will assemble, inst... \n \n \n ZIPC1_UKTJ

The Contracts Manager will be an integral member of the Gas Management Team, responsible for delivering a comprehensive contract management service covering planning, onsite inspection, and reporting activities to meet client expectations.

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. All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. 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. xrnqpay You might just be who we’re looking for — either for this role, or perhaps another.LocationLondonEmployment TypeFull timeDepartmentData & AI

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The following information aims to provide potential candidates with a better understanding of the requirements for this role. We have an opportunity for an electrician to join Phoenix Community Housings Repairs Service. In this role you will be part of a supportive team that carries out all types of electrical work in homes both internally and externally. You will undertake all aspects of electrical work and any additional works that may be required to deliver an effective first-time fix repair. xrnqpay You will assemble, insta Please click on the apply button to read the full job description

My Four Wheels is a 5-star rated driving school with 500 instructors teaching nationwide - and due to record learner demand, we're now recruiting new Trainee Driving Instructors across the UK. If you're looking for a career change with great earning potential, flexible working, and genuine job satisfaction, this could be the opportunity you've been waiting for. No previous experience is required - we provide full training and ongoing support. If you are interested in applying for this job, please make sure you meet the following requirements as listed below. Why become a driving instructor with My Four Wheels? Lesson rates typically average around £38 per hour Earn up to £39k per year working 32 hours/week Working 40 hours/weeks will earn an average of £50,000+ Work the hours you want - weekdays, evenings, weekends, part-time or full-time Teach locally (typically within a 30-minute radius, covering 6–8 postcodes) Dual-control car options available via partner providers Start earning sooner – You can apply for a Trainee License after DVSA Part 2 Training fees can be paid back in full after 1 year (ask for details) New Training Academy – Full Training Provided You'll train through our new Training Academy, designed for complete beginners. Training combines online learning, live classroom support and structured in-car coaching. We guide you through DVSA Parts 1, 2 and 3 and provide lesson plans, resources and ongoing support to help you qualify with confidence. xrnqpay DVSA Requirements To apply, you must: Hold a full UK driving licence for 3+ years Have no more than 5 penalty points Have no driving bans in the last 5 years Apply today Submit your details now and our team will contact you to explain the training route, timescales and next steps.

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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

MOO is hiring an analytics engineer to own analytical domains end-to-end, defining metrics in the semantic layer and modelling data with dbt.You will curate governed datasets for AI analytics and collaborate with stakeholders across operations, finance and supply chain.You will work with a modern cl

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

Ready to take the next step in your leadership career and use your kindness, creativity and commitment to make a real difference? As a Deputy Manager at Phoenix House in Kettering, Northamptonshire, United Kingdom, you'll work alongside the Service Manager to lead a great team and deliver high-quality, person-centred support. You'll bring experience from social care and first-line management, with the confidence to lead colleagues and deputise for the Service Manager when required. Please note that Consensus is unable to offer visa sponsorship for this role. Any future sponsorship is not guaranteed and would be considered in line with Home Office requirements and Consensus's sponsorship process. Your Benefits Consensus is a certified Great Place to Work®, here's just a small selection of the benefits you'll enjoy: Career Progression : Starting at £31,324.80 per annum, with opportunities to develop and earn up to £31,948.80 per annum. Learning & Development : Training and qualifications to help you grow your skills and career. Financial Benefits : Life Assurance, Wagestream and access to a Blue Light Discount Card. Health & Wellbeing : Confidential counselling, wellbeing support and an Employee Assistance Programme. Induction & Training : A free DBS check and comprehensive induction to get you started. Your Role Our supported living service in Kettering offers the freedom and independence of having your own flat, but with the knowledge support is always available should you need it. Each private flat is a space to make entirely your own, and taking responsibility for your home with daily management, cooking, cleaning and decorating is a great way to gain confidence in independent living. As Deputy Manager, you'll support the Service Manager with the day-to-day running of the service, providing leadership to colleagues and helping the people we support live fulfilling lives with choice, independence and privacy. Lead and support colleagues to deliver high-quality, person-centred care, deputising for the Service Manager when required. Ensure support plans, risk assessments and records reflect people's individual needs, choices and aspirations. Coach and develop colleagues through regular support, supervision and learning opportunities. Support recruitment, induction and colleague performance to help build and maintain a strong team. Help maintain quality, regulatory and health and safety standards across the service. Support safe staffing levels and effectively manage delegated financial responsibilities. Build positive relationships with families, professionals, regulators and other key stakeholders. Participate in the On Call management rota as required. About You You'll champion our values of Kindness, Commitment and Creativity, bringing them to life in how you lead colleagues, make decisions and support people. You'll also need: Experience at first-line management level within social care. Experience supporting people with learning disabilities. A Level 3 NVQ in Health and Social Care, or equivalent, alongside relevant experience. Strong leadership, communication and person-centred working skills. An understanding of current care practices and regulatory requirements. A full UK driving licence. If you're ready to bring your leadership experience and our values together to make a genuine difference, we'd love to hear from you. Apply today and make every moment matter with #TeamConsensus. TPBN1_UKTJ

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 are hiring a commercially driven Mid-Market Customer Success Manager to own a portfolio of approximately 50 accounts and a ~£2.5M ARR book of business across UK mid-market healthcare organisations. This is a full-ownership commercial role. You will carry an ambitious quota covering NRR, renewal, and expansion, manage your own pipeline, forecast accurately, and work in close partnership with Account Executives to grow your book. You are not a support function - you are a revenue owner. The right person for this role has thrived in a high-volume, multi-product SaaS environment where they were expected to carry a real number, manage pipeline with rigour, and proactively position multiple SKUs to existing accounts. You are energised by working across a large portfolio simultaneously, you spot commercial signals early, and you know how to move an account from adoption to expansion without waiting to be asked. • Carry and forecast a renewal and expansion pipeline across your full portfolio. Hit your number., • Build and maintain expansion hypotheses for every account - backed by usage depth, adoption maturity, and stakeholder readiness - and convert them into revenue., • Position the full Heidi product suite proactively to existing accounts, identifying the right SKU fit and sequencing multi-product conversations with confidence., • Partner closely with your aligned Account Executives on upsell and cross-sell: bring the account context, co-develop the commercial approach, and close together., • Manage renewal processes end to end - from early risk identification through negotiation and signature - without defaulting to your AE for the hard conversations., • Own approximately 50 accounts simultaneously. Operate with a clear prioritisation model that keeps at-risk accounts protected, healthy accounts growing, and no account left unattended., • Maintain accurate account health data, forecasts, and pipeline in HubSpot. Your book should be readable by anyone on the team without a briefing from you., • Build and execute account-specific success plans that map customer goals to measurable outcomes, reviewed at predictable cadences., • Run high-quality QBRs that quantify value delivered, surface the next commercial opportunity, and create exec-level alignment., • Take accounts from pilot through full deployment, leading implementation coordination, training waves, and clinical workflow integration., • Use usage data and adoption signals to intervene early - before a customer knows they have a problem. Translate data into clear, customer-ready narratives., • Apply structured change management: training cadences, competency checks, and workflow reinforcement - to move clinicians from activation to habit., • Work with Customer Success Associates where available, providing clear direction and maintaining full accountability for outcomes., • Identify churn risk from leading indicators - usage drop, stakeholder change, disengagement, competitive noise - not from NPS surveys or lagging signals., • Surface risk early internally with a clear diagnosis and a plan, not just a flag., • Own recovery plans for at-risk accounts and execute them without waiting for escalation., • Maintain a tight, professional working relationship with your AE counterpart. Align on account strategy, share intelligence, and move in the same direction commercially., • Advocate for customer needs internally with clarity, evidence, and prioritisation - not volume., • Contribute to playbooks, commercial frameworks, and team knowledge that make the wider CS team sharper., • Commercial track record in SaaS: 3–5+ years in a customer success or commercial account management role at a B2B SaaS company. You have carried a real quota, managed pipeline, and hit expansion and renewal targets in a multi-stakeholder environment., • Multi-product fluency: Experience positioning and expanding across multiple SKUs within an existing customer base. You understand how to sequence a multi-product conversation and build the commercial case for each product., • High-volume portfolio management: Comfortable owning a large book of accounts simultaneously without letting anything fall through the cracks. You have a system, and it works., • Pipeline discipline: You forecast accurately, update your CRM without being asked, and can walk anyone through your book at any time. Pipeline hygiene is not an admin task for you, it is how you think., • AE collaboration: You know how to work with a sales partner, sharing account intelligence, aligning on commercial approach, and closing together. You do not wait for the AE to initiate; you bring them in at the right moment., • Proactive commercial instinct: You spot expansion signals before the customer asks for more. You build hypotheses, bring evidence, and move accounts forward without being prompted., • Renewal ownership: You lead renewal conversations yourself, including the hard ones. You build value narratives from outcome data and can hold a commercial conversation without defaulting to your AE., • Data literacy: You use usage and adoption data to make decisions, build customer narratives, and support commercial conversations. You do not need an analyst to tell you what is happening in your portfolio., • Healthcare a meaningful advantage: Familiarity with clinical workflows, NHS or private healthcare operations, or health system procurement helps you ramp faster and earn credibility with clinical stakeholders sooner., • 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 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. 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 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

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

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

We’re the company. 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 the company 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. This is a commercially focused GTM Operations role supporting the company’s UK and European markets. You’ll report to the Head of GTM Operations and work closely with leaders across Sales, Customer Success, Marketing and Finance, as well as our central Analytics and GTM Engineering teams. Your job is to turn commercial direction into an operating model the region can actually use. When leaders agree how we should forecast, segment accounts, organise territories or manage the customer lifecycle, you’ll build the models, processes, reporting and tooling that make it work day to day. Doing that well means working beyond the CRM. You’ll use HubSpot, Databricks and Omni to bring together commercial and product data, pressure-test assumptions and turn what you find into better decisions and processes. This role suits someone who enjoys both sides of GTM Operations: working through commercial problems with leaders, then doing the hands-on work to make the solution stick. • Turn commercial plans into working operations. Partner with the Head of GTM Operations and regional leaders to operationalise decisions on segmentation, territories, coverage, capacity, quotas and commissions. Build the models, processes and operating cadences that allow teams to execute them consistently., • Connect the full customer lifecycle. Build and improve the processes between Marketing, Sales and Customer Success, from lead management and pipeline creation through onboarding, adoption, renewal and expansion. Make ownership and handoffs clear, and ensure each team has the information it needs from the others., • Strengthen commercial execution. Improve how we inspect pipeline, forecast revenue and understand customer health, retention and growth. Help embed methodologies such as MEDDIC into the way managers and teams run deals—not just the fields they complete in HubSpot—and drive adoption of the changes you introduce., • Use data to support commercial decisions. Query existing datasets in Databricks, build reporting in Omni and connect CRM, product and commercial data to understand performance. Build the recurring reporting the region needs, investigate issues in more depth when required and explain what changed, why it matters and what action it suggests., • Keep the GTM engine running. Maintain HubSpot and the regional GTM stack, including pipelines, routing, workflows, reporting and data quality. Resolve issues quickly and partner with central teams when something needs a global fix., • Hands-on GTM Operations experience. You’ve worked in GTM Operations, Revenue Operations or Sales Operations and have practical experience with core processes such as forecasting, territory and quota planning, lifecycle management and CRM workflows. We care more about the ownership and judgement you’ve developed than a fixed number of years., • Strong commercial judgement. You can reason across Marketing, Sales and Customer Success, understand the drivers of acquisition, conversion, adoption, retention and expansion, and distinguish an interesting data point from something the business should act on., • Confident with data. You can write SQL, navigate a warehouse such as Databricks and work with a BI tool such as Omni. You’re comfortable interrogating existing datasets, validating the output and turning the result into a clear recommendation. Experience building core warehouse models is not required., • A strong, credible operator. You can take an agreed commercial approach and turn it into a workable model, process or system change. You communicate clearly, challenge assumptions with evidence, bring the right people with you and follow through until the change is adopted., • A practical, tool-fluent systems thinker. You understand how process, data, tooling and team behaviour interact. You’re confident in HubSpot and have worked with tools such as Clay, Gong, outbound platforms, enrichment providers and CPQ/CLM systems, or can get productive in them quickly., • 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 the company, 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. Find more English Speaking Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

The Company Timeline is a financial technology company on a mission to help millions of people plan, invest for, and enjoy retirement with confidence. As a privately owned fast-growing fintech company providing Platform, MPS and financial planning solutions, we are well placed to disrupt the traditional financial services market. Our technology cuts out unnecessary costs, inefficiencies and anxiety for financial advisers, while improving the long‑term investment returns for their clients. We are a remote‑first company with team members in over 13 countries. And given our diversity of thought, backgrounds and life experiences, we are constantly striving to celebrate individual uniqueness, while achieving our common mission. As a scaling, high‑growth company, developing and adapting are the norm. If you’re after a dynamic company where you will make a real difference, then read on! We are looking for a Full Stack Software Engineer (AI) to join our global, remote‑first Engineering team. The team works asynchronously in a Kanban‑style workflow, collaborating closely with the Product team and the wider business. You’ll be working primarily on the AI surface of our product — the systems that turn LLMs into useful tools for financial advisers. That includes the chat agent that advisers use to query their books, AI‑assisted meeting notes, and the Elm UI through which our users experience all of this. You’ll help shape how these systems behave, scale, and evolve as we learn what advisers actually need from AI. • Backend: Elixir / Phoenix, • Frontend: Elm / Elm UI / JavaScript / HTML / CSS — we use Elm today and will continue to, • Mobile: Flutter (note‑taker app), • AI: AWS Bedrock + BAML (for LLM client abstraction); agent loops, tool calling, evals, • Simplicity, • Code quality, • Experimenting with new features/technologies, • Being customer/user-focused, • Continual learning, • Leveraging AI to build software — we actively explore agentic coding workflows to help engineers move faster while maintaining high code quality, • Based within +/- 3 GMT time zone — our HQ is in the UK, • At least 5 years' software development experience, • Proficiency in Elixir, • A solid understanding of web technologies, • Can write maintainable and robust code, • Enjoy writing tests, • Want to help design, implement, and launch major user‑facing features, • A strong understanding of systems architecture and database design, • Provide feedback and code reviews to peers, • An eye for great products and can work effectively with engineers and designers to build them, • Proactive with communication and have no problem managing time as a remote employee, • Excitement about working with LLMs and comfort with non‑determinism — designing for it, testing it, debugging it. Prior production AI experience is a strong plus, but we’ll help you ramp if you bring the engineering chops., • Empathy for the problems that financial planners face in their day‑to‑day operations and a desire to solve those problems, • Experience building SaaS products, • Experience with Elm (or a willingness to pick it up), • Experience building production features with LLM APIs — agent loops, tool calling, evals, • Experience with retrieval‑augmented generation, vector databases, prompt engineering, or LLM observability, • Experience with Flutter, or extending AI features into mobile surfaces, • Competitive salary, dependent on experience, • Non‑contributory pension scheme, • 28 days holiday plus bank holidays, • Non‑contractual bonus scheme, • Potential to join company option scheme, • Insurance plans, • Cost of relevant professional qualifications and memberships, • Hybrid working, • Flexible hours (depending on team requirements), • Wellbeing support #J-18808-Ljbffr

Job Type: Permanent Location: Remote with occasional travel to one of our offices. Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here. Closing Date: 9th November. Salary and benefits: From £75k, plus indicative bonus range of 16% to 32%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more. We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures. Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters - so you can bring your best, every day. As a key member of the Standard Life Advice and Guidance Leadership Team, you would lead the successful development and growth of a team of Standard Life Advisers, delivering innovative, modern, high quality advice propositions for customers. Utilising your technical expertise and strong leadership skills you will inspire confidence in our colleague and customer’s future. You will lead a team to provide professional financial advice on retirement solutions and investment propositions. Your role is to lead and develop a team to drive improved customer experience, advocacy and satisfaction underpinned by a robust risk, training and competence framework. You will have a strong track record within the advice industry with experience of advising clients with ‘at retirement’ needs. You will have a high level of technical pension knowledge qualified with a minimum of CII Diploma Level 4. (essential, without this we will be unable to consider your application) Lead, coach and develop a team of up to 12 Advisers, to enable delivery against key performance indicators, commercial, stakeholder and regulatory requirements. Meet the requirements of the Training and Competence Scheme Framework; recruiting, training and developing and maintaining the competence of advisers, as well as supporting attainment of competent adviser status and good customer outcomes. Develop and manage cross-divisional internal relationships, as well as external clients to create a strong network to support the achievement of business objectives and the referral of advice eligible customers. Adhere to regulatory, legislative and business requirements using the Risk and People Management Framework to manage risk to investors and the company’s reputation. We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best. • Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates, • Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us This role is covered by the Senior Managers & Certification Regime (SM&CR) as a certified role. Therefore this role is subject to annual certification by Phoenix Group, as well as regulatory compliance standards. Anybody performing this role will be subject to: PRA Individual Conduct Standards FCA Senior Individual Conduct Rules Further information on the Senior Managers & Certification Regime can be found on the FCA website. #J-18808-Ljbffr

As the first Product Full-stack Engineer at V7, this role holds significant influence, shaping the trajectory of the company's future in close collaboration with the Founders. Our BE is in Elixir (Erlang) with Phoenix, and FE is Vue.js. We don't expect you to know Pytorch, but if you don't know Elixir, you'll have to learn it. (Some of our team members had no Elixir experience initially) #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 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

Established Garment - The Candidate • Must have previous experience as a garment technician with a supplier • Strong communication skills. Reporting to the Head garment technologist. Develop garments with designers and customers from first fit to final sealer Set up workbooks for each developmen

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 ideally be based in our London office but we are also open to hiring in Edinburgh/Telford/Birmingham, with some flexibility to work between the office and home. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working hereSalary and Benefits: from 65,000 Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. • 85,000 (subject to experience), plus bonus, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.Who are we? We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters • so you can bring your best, every day.Role & Team Context Join Standard Life's growing Pension Risk Transfer (PRT) business at a landmark moment in our journey. Following the announcement of our new PRT partnership and a 2bn capital commitment to accelerate growth, we're entering an exciting new phase as we expand our capability to support a broader range of pension schemes, including some of the largest and most complex transactions in the UK market. As our portfolio continues to grow, the ongoing management, optimisation and delivery of post-transaction solutions has never been more important. As a PRT Pricing Actuary, you'll play a pivotal role in shaping the long-term success of our Bulk Purchase Annuity business, using your actuarial expertise to lead complex pricing, cashflow modelling and in-force transaction activity. This is a unique opportunity to work at the heart of a rapidly expanding business, solve complex challenges, influence strategic outcomes and help shape the future of one of the UK's most ambitious and fastest-growing retirement businesses.Key ResponsibilitiesWorking with the Pricing Managers on the ongoing management of our book of Bulk Purchase Annuity transactionsWorking closely with key internal and external stakeholders such as Client Services in executing data cleanses, including GMP equalisation implementation and the transition to buyoutLeading the production of cash flow and pricing models for BPAs, ensuring robust controls and processes are followed Working with others to navigate complexities and non-standard requests, driving thinking on solutions Development, coaching and training of junior members of the team Leading on project management to ensure that key contractual requirements and timescales are met Building, developing, documenting, running and maintaining actuarial modelsPresenting technical content with confidence to internal and external stakeholders What We’re Looking ForQualifications: Be a qualified ActuaryExperience & Knowledge (Essential):Practical experience of actuarial cash flow modelling, including development of models for bespoke projects and exercises, and application of actuarial methodologies for setting assumptionsExcellent technical knowledge of defined benefit pensions (including an understanding of modelling of GMP benefits, franking and deferred member benefit calculations)Ideally have an appreciation of financial services companies and the regulatory environment in which they operate, including Solvency II and the Matching Adjustment along with experience of bulk annuity modelling and pricingSkills and Personal AttributesStrong problem solving, communication and analytical skillAbility to work quickly and accurately with a high attention to detailWe want to hire the whole version of you.We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. xrnqpay If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best. We’re reviewing applications as they come in and may close this role before the closing date, so apply early to avoid missing out.Find out more about working at Standard LifeGuide for Candidates: /guideforcandidatesFind or get answers from our colleagues: #LI-SC1

Job Description Head Chef – High-End Vietnamese Cuisine /n Salary: £45,000–£50,000 per annum /n We're looking for an experienced and mature Head Chef or Senior Sous Chef to join a stable and exciting project focused on high-end Vietnamese cuisine. The Role /n You'll take responsibility

The Deputy Governance Officer will lead one of two Governance Teams within the Group Governance function, supporting the Head of Group Governance to maintain and strengthen effective governance and decision-making across listed, regulated and subsidiary entities. We're searching for a Deputy Governa

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

A leading fintech startup in Greater London is seeking a talented developer to build real-time collaborative financial applications. You will design scalable APIs and integrate various financial data sources while ensuring data security and compliance. The ideal candidate will work with a modern tech stack including Elixir, Phoenix, and NextJS, thrive in a dynamic environment, and enjoy problem-solving. This role offers a competitive salary, equity, health insurance, and an unlimited vacation policy. #J-18808-Ljbffr

Develop and maintain strategic partnerships with the Principal Contractor and Client teams, acting as the Phoenix ME contact to ensure project delivery aligns with client expectations to provide an opportunity for future business. Oversee management of the project in accordance with Company processe

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. As a Senior Solutions Engineer, you’ll serve as the technical leader during the sales process - helping prospects understand what’s possible with Heidi, guiding integration feasibility, and ensuring a smooth transition into implementation. You’ll work closely with Account Executives, Solutions Architects, Product, and Engineering to navigate high-stakes enterprise requirements, including EMR integrations, SSO, custom data workflows, and security architecture. You’ll bring technical credibility, customer empathy, and a strong sense of ownership to every deal. The deals that matter most rarely fit the playbook, and this role belongs to whoever runs toward that ambiguity and builds the path through it when no one can hand them one. Technical Discovery & Qualification: Lead deep technical discovery with enterprise and mid-market prospects to uncover integration, security, and compliance needs. Solution Design: Collaborate with product and engineering to design tailored solutions that meet customer requirements while aligning with Heidi’s platform roadmap. Product Demos & Technical Presentations: Deliver compelling demos and architecture walkthroughs to technical stakeholders including IT, InfoSec, and engineering teams. RFP & Security Review Support: Own technical responses for RFPs, security assessments, and due diligence requests with attention to detail and accuracy. Deal Acceleration & Objection Handling: Proactively surface and resolve technical concerns that slow down the sales process - acting as a trusted technical advisor to the customer. Post-Sales Handoff & Feedback Loop: Partner with implementation teams to ensure a smooth transition post-signature and provide feedback to product and engineering from the field. 5+ years of experience in Sales Engineering or Solutions Architecture, preferably in SaaS, healthcare, or enterprise software. Strong working knowledge of integration protocols (REST APIs, SAML/OIDC, SCIM), enterprise architecture, and security standards. Experience supporting sales cycles with large healthcare providers, health systems, or EMR vendors is highly valued (FHIR/HL7 familiarity a plus). Ability to synthesise complexity and communicate clearly to both technical and non-technical audiences. Comfortable operating autonomously in a fast-paced, early-stage environment. A trusted partner to sales and a credible voice in the room with technical leaders on the customer side. Bonus: Experience in healthtech, startups, or regulated industries. 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

Cheerful Monster is a small, London-based AI digital studio that builds software for clients, mostly in healthcare. Small senior teams own the work end to end, from discovery to production, and use AI to remove the grind rather than cut corners. We intend to find the new layout of the software workshop in the AI era, and to publish what we learn, failures included, so plainly that others can follow. We are a responsible services provider rather than a body shop. We aim to punch well above our weight through honesty, craft and quality, and have fun along the way. If you’re a senior engineer with strong fundamentals looking to retool for AI-native development — or already an AI-native developer looking for an environment designed around it — read on. Cheerful Monster is a London-based development studio building software with a smile. We deliver world-class AI and software for clients. We combine product thinking, technical strategy, and software delivery in one small, senior team. Rather than passing work down a chain of specialists, our engineers work directly with clients and own outcomes from discovery to production. We’re hiring a senior engineer to deliver client work now and grow out our small engineering team. This is a full-time role, working primarily from our Canary Wharf office in London, but with some ability to flex. You’ll work as a product engineer in a small, mission-driven pod, directly with clients, taking problems from early ambiguity through design, implementation, and deployment to production outcomes. Our first projects will use Elixir, Phoenix, and LiveView. Experience of using this stack on at least one production system would be helpful. Coding agents will be a core part of the normal development environment: exploring codebases, developing plans, implementing features, generating tests, reviewing changes, and investigating production faults. You remain accountable for their output and whether it is fit to deploy. AI makes writing code cheap, but it cannot decide what should be built, understand the client’s situation, make sound architectural trade-offs, or establish that plausible-looking output is actually correct. • Turn ambiguous client needs into clear product and technical direction, separating the outcome a client needs from the first solution someone happens to suggest., • Design and build production systems with Elixir, Phoenix, and LiveView, working across domain modelling, data, interfaces, integrations, background processing, testing, deployment, and observability as each project requires., • Decide what to do yourself, what to delegate to agents, and what evidence is needed before the result can be trusted., • Run investigations in parallel, discard generated work when needed, and recognise when AI is not the right tool for the job., • Review and develop other engineers, helping establish how we capture context, structure work, verify generated changes, manage cognitive load, and demonstrate increasing autonomy., • Contribute to our shared engineering practice and the development harnesses that support it., • Help rediscover the craft and joy in software development as the tools and practices evolve., • You may already use coding agents as a routine part of production delivery and can explain how you frame work, supply context, delegate meaningful implementation, review what comes back, and catch output that is convincing but wrong., • Or you may be a strong senior Elixir engineer whose organisation has not yet given you the opportunity to work this way, but who has begun experimenting seriously with AI-assisted development., • In either case, you bring strong engineering judgement, production experience, and a willingness to make your working process visible and improve it., • Substantial experience building and operating software with Elixir and Phoenix., • A strong grasp of OTP, supervision, concurrency, Ecto, and relational data modelling., • The ability to spot generated Elixir that compiles but is unidiomatic, poorly structured, or based on a mistaken model of the runtime., • Comfort working directly with clients, shaping ambiguous work, explaining trade-offs, and taking responsibility for what happens after deployment., • Clear writing skills across plans, specifications, constraints, acceptance criteria, and review comments. The initial environment centres on Elixir, Phoenix, LiveView, OTP, Ecto, Ash, and PostgreSQL, alongside testing, Git, CI/CD, cloud deployment, and observability tooling. Experience in other languages is welcome but not required. Python is particularly useful, whether you’ve used it for services, data, automation, scientific computing, or AI integrations. Experience in another ecosystem is also valuable where it demonstrates real depth and an ability to move intelligently between technologies. Experience with Oban, Broadway, distributed Elixir, data engineering, LLM integrations, regulated domains, consultancy, early-stage products, or coaching other engineers would all be useful. We don’t expect one person to bring all of them. • Competitive salary: £80-90,000, • Company pension: 3%, • 25 days of paid annual leave, • A fun and flexible working environment, • A modern, dog-friendly office located in Canary Wharf #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. The role 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 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. What you'll do You will work alongside the engineers who built Heidi, shipping AI products that change how healthcare runs. 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. What you'll need 5+ years of software engineering experience, with production work on both the frontend and the backend. 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. How we show up 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 are decent ones while we do it. Why Heidi? 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

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

PRS is seeking a Senior Technical Services Manager to lead a multi-site Hard FM delivery across the London Cluster, reporting on safety, uptime, SLAs, and compliance.The role requires technical credibility, client executive engagement, and travel across the UK office portfolio.You will manage a tech

Job DescriptionAre 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. Job DescriptionAre 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. #J-18808-Ljbffr

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

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

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

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. Our benefits are designed to ensure our employees feel taken care of and are proud to be a part of the Valarian team. We are committed to consistently enhancing our benefit package, taking into account the overall well‑being and needs of our teammates. Here are the key benefits accessible to all employees at Valarian Technologies: • 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

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

The Quality Manager is responsible for developing, maintaining, and communicating the Quality Management System (QMS) to ensure that products, services, and project outputs meet customer expectations and regulatory requirements. This role leads quality assurance and improvement initiatives across design, delivery, and operational functions, promoting a right-first-time culture and continuous improvement. The Quality Manager works collaboratively across departments and projects to embed quality standards and drive performance excellence. • Develop, improve, and maintain the QMS in collaboration various Heads of Department, • Ensure compliance with relevant industry standards, including ISO 9001 and client-specific requirements, • Monitor and evaluate operational processes to ensure adherence to quality benchmarks, • Conduct audits and inspections, with a focus on onsite installation quality, • Lead and mentor teams on quality principles, promoting ownership and accountability, • Deliver training and guidance on quality procedures and tools across all levels of the organisation, • Analyse performance metrics and report on trends to inform decision-making, • Facilitate root cause analysis and implement corrective and preventive actions, • Champion a culture of quality and continuous improvement throughout the business, • Early engagement at preconstruction with the Planning Dept to ensure QSOs and ATPs scheduling is realistic and in-line with operational capability., • Development of the QSOs templates to include snag trends and define specification requirements., • Establish and manage Phoenix QSO templates, • Establish and manage with the T&C Dept, pre-commissioning checklists / inspections (performance focus), • Procore team / project role out including T&C., • Procore on-site in-depth training., • Procore project specific processes and reporting set up., • Assist the site teams best use of Procore., • Assist the site teams to generate and manage snag remediation programmes. (performance focus), • 1 st point of contact for Procore troubleshooting., • Be an additional resource to site teams. Degree or equivalent qualification in Quality Management, Engineering, Business, or a related discipline X Extensive knowledge of quality management systems and methodologies (e.g. ISO 9001, Six Sigma, Lean) X Proven ability to lead quality initiatives and influence cross-functional teams X Strong analytical and problem-solving skills with attention to detail X Effective communication and interpersonal skills, with the ability to engage at all organisational levels X Competence in conducting audits, analysing data, and implementing improvement plans X Ability to manage competing priorities and perform under pressure X Professional certification in quality management X Experience in ICT infrastructure, construction, or data centre environments X Familiarity with digital quality tools and reporting platforms X Exposure to client-facing quality assurance roles or external audit preparation X This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Management reserves the right to assign or reassign duties and responsibilities. • Embody boldness and ambition to exceed goals by setting high personal and professional standards, • Act with courage, voicing ideas or concerns with confidence while remaining resilient in the face of challenges, • Foster empowerment by creating an environment where everyone feels capable, trusted, and supported, • Promote innovation by sharing fresh ideas and new methods to drive continuous improvement, • Champion a culture of togetherness and inclusion by acting with mutual respect and integrity #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

About Us We are an inclusive, supportive and rewarding organisation who provide care and education for children and young people with Learning Disabilities and associated health and social conditions. We are the only trauma recovery-based Learning Disability provider in the UK for children and young people. Our HEART values underpin both what we believe and how we behave, creating a pathway for children and young people to thrive: Holistic Support – We take a whole-child approach, ensuring each child's care, education and emotional wellbeing work together to provide consistent, coordinated support. Empathy – We take time to understand each child's experiences, behaviours and emotions, responding with patience, compassion and trauma-informed practice. Ambition – We encourage every child to build confidence, develop resilience and achieve their personal goals, celebrating every success along the way. Respect – We value every child as an individual, promoting positive relationships where they feel safe, heard, respected and empowered. Thriving – We create nurturing environments where children can recover from trauma, develop healthy relationships, gain independence and build a positive future. Take care of kids with a warm heart and a nurturing approach Empower young folks to reach their potential and shine bright Be the guardian of safety, ensuring top-notch safeguarding and child protection measures Provide emotional and behavioral support to help children navigate life's ups and downs Who Are We Looking For? You don't need to have all the answers — we're looking for the right attitude and a genuine passion for making a difference. Caring, compassionate and patient Able to build positive relationships Resilient and calm in challenging situations Willing to learn and develop A good team player Committed to safeguarding and high-quality care Full UK driving licence (Desirable but not essential) NVQ Level 3 Health & Social Care Children and Young People (Desirable but not essential) Experienced in Residential Childcare (Desirable but not essential) Experienced in Learning Disabilities (Desirable but not essential) Candidates must be aged 21 or over. Right to Work Applicants must have the legal right to work in the UK . Unfortunately, we are unable to provide visa sponsorship for this position. What we offer – Residential Care Worker, Phoenix Park, Preston £32,681.16–£49,661.4 per annum, including sleep-ins, equivalent to £12.91–£14.15 per hour depending on experience and qualifications, plus £70 per sleep-in! 173 hours per month – full-time contract, around 10 working days a month; Enhanced Role: 243 hours per month full-time contract, around 16 working days a month 224 hours annual leave (173 Hours Contract) / 314 hours annual leave (243 Hours Contract) 80 hours per month – part-time contract also available; contact us for more details Fully funded Level 4 & Level 5 Health & Social Care qualifications – develop your skills and advance your career at no cost to you! Company-funded Enhanced DBS check – no cost to you! Full training and ongoing professional development Genuine career progression opportunities within children's residential care Wellbeing Programme designed to support your health, wellbeing and work-life balance Staff Referral Scheme – earn up to £400 for every successful referral A supportive and dedicated team A genuinely rewarding role where you can make a lasting difference in a young person's life Your Career, Our Investment At Care & Education Management Services, we don't just hire people — we invest in your future. We're proud of the career progression within our organisation. This year alone, more than 20 members of our team have been promoted , with many progressing into new roles and taking on greater responsibilities. We also support our team to achieve professional qualifications. Our staff are currently working towards Level 4 and Level 5 Health & Social Care qualifications , while others have already successfully achieved them. With fully funded qualifications, ongoing training, professional development and career progression opportunities , we want to help you build a long-term career with us. You don't have to pay for your development — we invest in you. Your first role with Care & Education Management Services could be the start of a rewarding long-term career. Benefits: Casual dress Company events Company pension Free parking Health & wellbeing programme On-site parking Paid training Referral programme Safer Recruitment All offers of employment are subject to our safer recruitment process , including satisfactory DBS clearance, references and medical clearance. Applicants will be expected to disclose any relevant information that may affect their ability to safely undertake the role during the appropriate stages of the recruitment process. Interested? If you're looking for a rewarding career where your work can genuinely change a young person's life , we'd love to hear from you. Apply today and become part of us. Your career. Your development. Your wellbeing. Your impact. Join us and make a difference. TPBN1_UKTJ

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

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

We are looking for talented individuals with 1-3 years' experience of working in a similar role to join our close-knit technical team. If you are looking for a varied, challenging and collaborative role to expand your technical expertise then this job is for you! You will actively participate in the designing, maintaining and upgrading services that are critical to the NHS and many healthcare organisations around the world. You will be working as a team to address the current challenges such as the rapid expansion of our mobile Apps and AI as we scale on an international level. You will also have the opportunity to travel internationally to scope out data centres, design and size new projects and join in on technical discussions at government level. Requirements 2:1 or above in a computer related degree Minimum of ABB/AAC at A-level including either Maths or IT Skills and Qualities Relational database knowledge with practical experience in SQL Server System administration, enhancements, configuration, system design and build in Windows environments Hardware – knowledge or hands on experience of server components, investigation & problem resolution Networks – Managing enterprise firewalls, switches and routers including knowledge of common network protocols Cyber Security – Pen Testing, monitoring for potential threats, vulnerabilities and indicators of compromise Great problem solving skills An automation not repetition approach TPBN1_UKTJ

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. The role 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. What you'll do 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. What you'll need 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. How we show up 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. Why Heidi? 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

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. As a Lead / Principal AI Engineer, you’ll design, build and deliver production-grade AI systems, intelligent workflows and agentic solutions that power modern digital experiences. From consumer-facing applications and connected digital products to intelligent marketing platforms and bespoke enterprise tools, you’ll turn emerging AI capabilities into reliable, scalable and commercially valuable solutions. This is a highly hands-on engineering role within AKQA’s London studio, combining deep technical expertise with architecture and technical leadership. You’ll spend the majority of your time designing and building solutions, while also working closely with clients, creative teams, strategists and engineers to translate ambitious ideas into production-ready technology. You’ll bring a strong background in backend or platform engineering, alongside recent, practical experience delivering generative AI and agentic systems into live environments. You’ll understand that building a successful AI solution goes far beyond a prototype, requiring robust architecture, evaluation, security, observability and careful management of cost, performance and reliability. • 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., • 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., • A collaborative, proactive and technically curious individual who enjoys solving complex problems and delivering high-quality engineering solutions. 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. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. #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

Phoenix ME Limited is seeking an Estimator to manage day-to-day estimating activities for allocated tenders from enquiry through to pricing, submission and handover. You will coordinate supply-chain inputs, prepare detailed cost build-ups and communicate commercial risks for agreement, while supporting senior staff on complex tenders. The role requires strong numerical skills, proficiency with Excel and estimating software, and a solid understanding of construction methods, procurement routes #J-18808-Ljbffr