MLOps Engineering Manager

Flo Health

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Flo Health is the world’s most popular women’s health app, supporting over 80 million monthly active users. As our Engineering Manager for the AI Platform, you will lead the core team that builds the shared infrastructure powering every AI feature at Flo—from our chatbot and cycle predictions to personalized health insights.   We don’t just use AI; we build the systems that make it possible at scale. You will work in an environment where we maintain direct technical partnerships with Databricks, OpenAI, Anthropic, and AWS, moving far beyond standard vendor relationships.   The Environment   Our AI Platform team is embedded directly in product delivery, working in cross-functional squads alongside our Data Platform team and external model partners. We operate with a clear but fluid strategy — iterating quickly based on rapid AI/LLM advancements and real-time metrics. You will manage a dynamic environment where roughly 30% of the team's work is reactive, driven by immediate product needs, while maintaining focus on our long-term roadmap.   What You’ll Do * Lead & Empower: Manage a team of senior engineers using a distributed leadership model. You’ll provide the management layer that supports their technical execution, performance, and career growth. * Own the Roadmap: Translate product and company goals into clear team roadmaps, managing the balance between structured delivery and the reactive, business-driven work essential to a platform team. * Drive Delivery: Coordinate cross-pod dependencies, resolve blockers, and track roadmap milestones. * Technical Stewardship: Participate in architectural reviews and provide hands-on technical guidance (~20% of your time). You’ll help the team maintain high standards for safety, medical compliance, and performance. * Cross-Functional Impact: Act as the primary point of contact for stakeholders across Product, Analytics, and Engineering, while representing Flo’s AI vision to our industry partners. What you bring: * Engineering Leadership: Proven track record managing engineering teams in fast-moving product environments. You know how to build high-performing teams, mentor talent, and hire effectively. * AI/ML Infrastructure Depth: You have direct, hands-on experience leading or building ML systems in production. You understand MLOps, model serving, or AI platform engineering. * The "Manager-as-Leader" Mindset: You aren't looking to spend your day coding, but you have the technical depth to participate in architecture discussions and credibly guide technical trade-offs. * Agile & Stakeholder Savvy: You are comfortable operating where priorities shift. You know how to protect roadmap momentum while absorbing urgent requests. * Collaborative Spirit: You thrive in cross-functional setups and understand how to manage diverse teams in an agile environment. Why Join Flo? * Massive Scale: Your work will directly impact millions of users. * Cutting-Edge Tech: Work at the intersection of AI and healthcare, with deep integration into modern LLM stacks and ML infrastructure. * High Visibility: This role offers significant industry exposure, including potential opportunities to present our evaluation platforms at events alongside our technology partners. How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.  What you'll get We support impact with meaningful reward. Here’s what that looks like: * Competitive salary and annual reviews * Opportunity to participate in Flo’s performance incentive scheme * Paid holiday, sick leave, and female health leave * Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents * Accelerated professional growth through world-changing work and learning support * In-person collaboration and work in a hybrid model, with 3 days per week spent in the office * 5-week fully paid sabbatical at 5-year Floversary * Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.

Flo Health

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job As Senior Product Manager for Predictive Growth at Flo, you'll own Flo's predicted Lifetime Value (pLTV) platform across iOS, Android, and Web. pLTV is the shared signal behind UA bidding, budget allocation, creative-testing prioritisation, finance forecasting, and roadmap decisions across the organisation — making it one of the highest-leverage PM roles in growth. You'll work with a team of data scientists, machine learning engineers, and data engineers running Flo's production pLTV models across short-horizon (intra-day) and long-horizon (M15+) predictions. You'll drive accuracy improvements, expand signal coverage across platforms, and extend pLTV's reach into new decision domains. You'll also help scale Flo's in-house agentic experimentation system — already delivering 30%+ quality gains — and contribute to the next generation of Flo's marketing measurement stack, including Marketing Mix Modeling and incrementality testing. This is a senior IC role with company-wide visibility, partnering with leadership across User Acquisition, Finance, Analytics, and Engineering. It's equally hands-on in delivery: co-leading the team day-to-day with your engineering manager pair, writing the specs, defining the epics, staying close to the work. Your Experience Must have: * Proven experience owning machine-learning or data-driven products in production — predictive scoring, propensity, ranking, forecasting, or similar data-rich products. Strong fit for current Product Managers; also open to Engineering Managers, ML Engineers, or tech leads who have shaped product direction end-to-end and are ready to make the switch into a PM seat. * Hands-on delivery instincts — equally comfortable in Jira (writing specs, defining epics, refining the sprint backlog, unblocking the team) as in strategic planning and stakeholder management. Co-leads the team day-to-day with your engineering manager pair. * Hands-on partnership with data science and machine-learning engineering teams — partnering on model evaluation, retraining cadence, feature decisions, and release discipline. * Strong analytical fluency — SQL proficiency, comfort interpreting model evaluation metrics, and the habit of interrogating performance at segment, cohort, and campaign level rather than blended aggregates. * Demonstrated ability to influence senior cross-functional stakeholders across marketing, finance, analytics, and engineering — translating technical model behaviour into commercial decisions. * Comfortable in fast-paced, ambiguous environments — balancing platform investments against fast-cycle experimentation, with shifting priorities and competing demands. Nice to have: * Working knowledge of mobile and web user acquisition — how bidding, attribution, and campaign optimisation actually work, including privacy frameworks such as SKAN/ATT or Privacy Sandbox. * Hands-on experience with mobile attribution platforms (AppsFlyer, Adjust, Branch, Firebase) and modern measurement frameworks (SKAdNetwork, GA4). * Exposure to Marketing Mix Modeling, incrementality testing, holdout design, or causal inference techniques. * Familiarity with feature stores (Databricks, Tecton, Feast) and modern MLOps tooling. * Subscription-app, health & wellness, or femtech domain background. * Exposure to agentic AI or LLM-orchestrated workflows for ML experimentation, research, or model evaluation. What you'll be doing You'll be responsible for: * Owning Flo's pLTV product roadmap end-to-end across iOS, Android, and Web — driving accuracy improvements, expanding feature coverage, extending prediction horizons, and pushing pLTV into new decision domains (creative testing, product roadmap, pricing, hypothesis validation) alongside its existing UA and Finance use cases. * Partnering with data scientists and engineers on feature strategy — deciding which inputs the model consumes and ensuring those features are available reliably in production. * Operating rigorous release discipline — gated rollouts, shadow-mode evaluation, drift detection, automated retraining, and post-launch calibration — so production models stay accurate as data distributions and platform policies evolve. * Working closely with data scientists and analysts to investigate model quality issues — country-level miscalibration, cohort drift, signal anomalies — and feeding findings back into the next iteration. * Helping scale Flo's agentic ML experimentation system from hundreds toward thousands of model runs — compounding quality gains back into production. * Acting as the primary product partner to User Acquisition leadership — translating model behaviour into bidding decisions, framing trade-offs, and aligning on attribution-window strategy. * Reporting model performance and strategic recommendations into monthly leadership reviews and quarterly investment decisions. * Contributing to Flo's next-generation measurement stack — including Marketing Mix Modeling, incrementality testing, and causal lift methodology — so marketing investment decisions are grounded in causal, not correlational, signal. #LI-Hybrid #LI-AJ1 Annual Salary Range (ranges may vary based on skills and experience) £92,000—£115,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.  What you'll get We support impact with meaningful reward. Here’s what that looks like: * Competitive salary and annual reviews * Opportunity to participate in Flo’s performance incentive scheme * Paid holiday, sick leave, and female health leave * Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents * Accelerated professional growth through world-changing work and learning support * In-person collaboration and work in a hybrid model, with 3 days per week spent in the office * 5-week fully paid sabbatical at 5-year Floversary * Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.

Carwow

OUR MISSION To become the car-changing destination of choice. By combining technology, media and deep automotive expertise, we've turned how people buy, sell, advertise and lease cars on its head. What started as a simple reviews site is now one of the largest online car-changing destinations in Europe. Last year alone we grew over 50% with nearly £3bn worth of cars bought on site, while £1.8bn of cars were listed for sale through our Sell My Car service. In 2024 we went big and acquired Autovia - creators of AutoExpress and Evo magazines - doubling our audience overnight. Together we now have one of the biggest YouTube channels in the world with almost 10m subscribers and over 1.1 billion annual views, while we sell 1.2 million print copies of our magazines and have an annual web content reach over 350million. And we’re a long way from done! THE ROLE We're looking for a Senior Data Scientist to join our award-winning Data Science team at a pivotal moment. Carwow operates a two-sided marketplace — connecting car buyers and sellers at scale — and data science sits at the heart of how we make that marketplace smarter, faster, and more valuable for everyone in it. In fact, we recently won GenAI initiative of the Year at the British Data Awards. This is a hands-on, high-ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity and demand signals that sharpen marketing spend, personalised recommendations for our web product and CRM, and LLM-powered solutions for operational challenges like document verification. You'll translate ambiguous business problems into structured, production-ready solutions — and you'll be expected to deliver them end-to-end, from first principles through to being deployment-ready and beyond.   WHAT YOU'LL BE DOING * End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function, you'll be responsible for ensuring your solutions are robust, scalable, and performing in the real world long after they ship. * GenAI & LLM Application: Design and build LLM-powered solutions where they create genuine business value — document processing, intelligent search, content understanding, and beyond. Apply them alongside classical ML with clear judgement about where each approach earns its place. * Commercial Impact: Connect your work directly to business outcomes. Whether you're building a model to improve marketing efficiency, a pricing signal to sharpen commercial decisions, or a recommendation engine to increase conversion — you understand the business lever you're pulling and design your solutions accordingly. * Prototyping & Experimentation: Move fast to test ideas before committing to full-scale development. Define rigorous success metrics upfront, validate honestly, and know when to double down and when to walk away. * Cross-Functional Partnership: Work closely with Commercial, Marketing, Product, Finance, Engineering and Operations stakeholders to understand problems deeply before reaching for a solution. Translate findings into clear, actionable narratives for both technical and non-technical audiences. * Standards & Craft: Contribute to shared best practices, documentation, and ways of working that raise the bar for the data science function — and help more junior team members grow alongside you. Drive continued adoption of AI capabilities to drive efficiencies, automation and constantly leverage new capabilities. WHAT YOU'LL NEED Please note: We know that no candidate will be the perfect match for all we've listed in this posting, so we’d encourage you to apply if you feel you're close to the brief but not an exact match. Ideally you’ll have * Commercial Mindset: You think about business impact first. You understand how your models connect to revenue, efficiency, or customer outcomes — and you use that to prioritise, scope, and communicate your work. * Stakeholder Partnership: Proven ability to work with commercial, marketing, and product stakeholders — translating business problems into well-scoped solutions and communicating technical solutions, challenges and outcomes clearly at all levels. * Sound Judgement: You navigate the tooling landscape with clear eyes — knowing when classical ML is right, when GenAI unlocks something new, and when a simpler solution is the more honest answer. Strong instincts for scalability, reliability, and explainability. * [Bonus] Marketplace or Two-Sided Platform Experience: Understanding of supply/demand dynamics and how data science creates leverage in a marketplace context. TEHCNICAL SKILLSET * Proven ML Experience: A strong track record of building, deploying, and maintaining ML models in Python in a production environment — not just notebooks. You've owned models after they ship and know how to keep them healthy. * Full-Lifecycle Delivery (MLOps): Comfortable delivering the end-to-end production lifecycle — model training, versioning, monitoring, and champion/challenger experimentation — without relying on a dedicated ML engineering team to carry that responsibility. * GenAI & LLM Expertise: Hands-on experience building LLM-powered solutions that deliver measurable business value. You understand how to apply, evaluate, and extend these tools — and you're honest about where they fall short. * Technical Depth: Solid experience in a cloud ML environment with software engineering principles — version control, code reviews, unit testing, and familiarity with containerisation. * Quantitative Rigour: Strong foundation in statistical evaluation and experiment design. You can define and defend success metrics, and you know when a model is degrading and what to do about it. * [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES * Languages: Python, SQL * Data & Transformation: dbt, Snowflake, BigQuery * Visualisation & BI: Looker * Engineering & MLOps: Docker, GitHub * Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow * LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS * Step 1: People Team Screening Call (30 min) * Step 2: Hiring Manager Call: Experience (45 min) * Step 3: Technical Task: covering both Modelling & Production with Presentation (60 min + Task) * Step 4: Values Interview (45 min) WHAT’S IN IT FOR YOU * Hybrid working * Competitive salary to fund that dream holiday to Bali * Matched pension contributions for a peaceful retirement * Share options - when we thrive, so do you! * Vitality Private Healthcare, for peace of mind, plus eyecare vouchers * Life Assurance for (even more) peace of mind * Monthly coaching sessions with Spill - our mental wellbeing partner * Enhanced holiday package, plus Bank Holidays * 28 days annual leave * 1 day for your wedding * 1 day off when you move house - because moving is hard enough without work! * For your third year anniversary, get 30 days of annual leave per year * For your tenth year anniversary, get 35 days of annual leave per year * Option to buy 3 extra days of holiday per year * Work from abroad for a month * Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies * Bubble childcare support and discounted nanny fees for little ones * The latest tech (Macbook or Surface) to power your gif-sending talents * Up to £500/€550 home office allowance for that massage chair you’ve been talking about * Generous learning and development budget to help you master your craft * Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for * Refer a friend, get paid. Repeat for infinite money Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.