Senior Staff MLE - Dynamic Pricing

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. The machine learning models inside Rosso forecasting, pricing, and optimisation are what make those decisions possible. Every inference shapes the prices our customers see. Today, tem's ML platform has solid foundations: Metaflow for orchestration, AWS Batch for compute, and automated CI/CD pipelines already in place. That's got Rosso to where it is. But as the number of model types grows and Rosso scales, the platform needs the next layer: structured experiment tracking, a model registry, production monitoring, and self-service tooling that lets ML engineers move at pace without being blocked on infrastructure. This role exists to build that layer and define what the platform looks like at scale. You will join the Rosso service alongside a Senior MLOps Engineer in a cross-functional team of ML engineers and software engineers. The destination is a platform that is genuinely self-service: ML engineers can run experiments, compare models, and ship to production without external intervention. It needs to scale across long-horizon forecasting tasks, real-time pricing engines, and large-scale optimisation workloads — not just the models that exist today. The concrete work ahead is specific: experiment tracking and a model registry are not yet in place. Backtesting infrastructure critical to the forecasting mission needs to be built. Shadow deployments will allow new models to be validated in production before they go live. And the platform needs to be designed for heterogeneous workloads, not just the models that exist today. This is a technical leadership role: you'll define the platform strategy and set the direction for the MLOps, while remaining hands-on in the most critical architectural decisions. The right person has seen ML platforms scale well and has learned from the times they haven't. You'll bring that judgment to a platform that can't afford expensive detours. 🚀 Responsibilities: * Own the ML platform strategy: Define the roadmap from Level 1 to Level 2, making architectural decisions ahead of when they'd otherwise become blockers. Keep the platform aligned to Rosso's commercial trajectory. * Build the foundations: Lead the design and build of experiment tracking, model registry, automated pipeline infrastructure, and production monitoring across all model types. * Deliver backtesting and shadow deployments: Build the infrastructure the forecasting and pricing teams need to validate models reliably against historical data and in production before they go live. * Set technical direction: Provide the architectural vision and standards the Senior MLOps Engineer executes against. This is a force-multiplier relationship, not a management one. * Partner across the team: Work closely with ML engineers and software engineers to understand what the platform needs to unlock the next wave of Rosso capabilities. Translate those needs into principled platform decisions. * Choose the right tools: Evaluate the MLOps tooling ecosystem with clear eyes. Make choices that fit tem's scale and workload mix not what's fashionable. * Drive deployment reliability: Push toward more frequent, reliable model deployment cycles as Rosso moves from batch-heavy workflows toward live, near-real-time processes. * Define best practices: Establish standards for how models are trained, versioned, deployed, and monitored across the team. Create a platform ML engineers trust. What success looks like: * MLOps is no longer a bottleneck, ML engineers are unblocked to focus on model quality * The time to deploy new machine learning models goes from days to minutes * The core features required from the machine learning platform are delivered before they block progress e.g. backtesting and experiment tracking 🎯 Requirements: Must-Haves: * Scaled an ML platform from early-stage: Demonstrable experience taking an ML platform from early stages to best-in-class infrastructure at a fast-moving company. You've been there, done it, and you're comfortable with the messiness and ambiguity that comes with scale-up life. * ML pipeline expertise: Deep experience across the whole MLOps lifecycle with ML pipeline orchestration (Metaflow, Prefect, Airflow or equivalent) and ML infrastructure (Sagemaker, Vertex AI, Chalk, or equivalent). * Model lifecycle tooling: Hands-on experience building or operating experiment tracking systems (MLflow, W&B, or similar), model registries, and governance tooling for model fleets at scale. Knows what good looks like and what to avoid. * Broad MLOps tooling knowledge: Across the ecosystem monitoring, drift detection, CI/CD for ML, containerisation, IaC (Terraform, AWS CDK). Able to evaluate trade-offs and make principled choices for a specific context, not just default to what they know. * Technical leadership track record: Evidence of setting platform direction, influencing cross-functional teams, and defining standards at Staff+ level. Raises the quality bar through design reviews, code reviews, and mentoring. Knows when to drive strategy and when to get into the weeds. * Heterogeneous workload experience: Experience designing and operating platforms serving heterogeneous workloads (e.g. forecasting, classification, operations research, etc), not just one model type across batch and real time applications. * Python, AWS + IaC: Strong Python; hands-on experience with AWS and infrastructure-as-code (Terraform, AWS CDK). Bonus points: * Worked in a role where ML is at the core of the product * Familiarity with Metaflow specifically * Experience with operations research, large-scale optimisation in a production context * Experience working with business critical time series forecasting models * Exposure to reinforcement learning in a production setting * Exposure to production LLM workloads e.g. fine tuning 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. 1. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. 2. Behaviour Interview with Tim, Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. 3. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. 4. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

ABOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: * Tide is available for UK, Indian, German and French SMEs * Over 2 million members: 900,000 UK and 1,100,000 in India and growing rapidly * Over $300 million raised in funding * Over 2,800 Tideans globally * Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 * We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg LOCATION : LONDON, BULGARIA, SERBIA AND LITHUANIA ABOUT THE ROLE Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage. WHAT YOU WILL DO * Define the architecture for Tide’s agentic platform * Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability * Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities * Set standards for reliability, safety, scalability, and developer experience * Provide technical leadership across teams and unblock critical decisions * Implement cost-management and routing logic to optimize LLM spend across different providers * Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories WHAT WE ARE LOOKING FOR * Deep experience building platform or infrastructure systems at scale * Strong judgement across APIs, distributed systems, data, and cloud-native architecture * Track record of leading complex cross-team technical problems * Experience integrating third-party platforms without losing control of core architecture * Strong understanding of reliability, security, and observability * Experience with AI platform components is valuable, but not essential * Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable  WHY THIS ROLE MATTERS This role will help determine whether Tide builds isolated AI pilots or a reusable platform that compounds value across productivity, risk, and connectivity. OUR TECH STACK: * Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!) * Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable * Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users) * Docker, Terraform, EKS used by the Cloud team to run the platform * DataDog and Rollbar to keep it running * GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks * Angular 2+ with ngrx on Web, Flutter for the Mobile App * Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management WHAT YOU'LL GET IN RETURN * Flexible working options * Group Life Insurance * Vitality Health Insurance, with a proactive focus on mental and physical wellbeing * 25 days holiday with the ability to buy extra days * 3 days for L&D or volunteering time off per year * We invest in your development with a £1,000 professional L&D budget per year * Access to ‘salary sacrifice’ benefits such as Cycle to Work scheme and pension contribution * Spacious brand-new office near Old Street with an all-day snacks bar * Enhanced family-friendly leave * Sabbatical leave TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.  While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.  We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.   At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.   Disclaimer   It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that: * Tide does not charge any fees at any stage of the recruitment process. * All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel. * Communication from Tide will only come from an official @tide.co email address. * Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf. If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.   Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy. Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.