Principal Engineer - Pricing Infrastructure

tem

📈 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. It's the transaction infrastructure that replaces what a traditional trading desk does — forecasting energy prices and volume, building a real-time picture of the portfolio, optimising the fees placed on every quote, and autonomously managing hedging decisions. All of it running continuously. All of it on the critical path for every deal tem closes. Machine learning is at the heart of it. Rosso combines forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see. We've proved the concept. tem now serves 2% of the UK market. The next step is building a pricing engine that doesn't just react — one that proactively drives growth by targeting the right customers at the right time, at the right price, while protecting margin and portfolio balance. Then taking that internationally. We're looking for a Senior Staff Machine Learning Engineer to own pricing ML within Rosso. This is a hands-on senior IC role with real technical authority — you set the strategy, define the mathematical approach, build the models, and ship them. You work closely with MLOps and software engineers, but you don't wait on them. The hard part of this job is the formulation, not the infrastructure. 🚀 Responsibilities * Own the technical direction for pricing ML. Define what to build and how. Set the roadmap for the pricing engine as a core piece of tem's IP — and be accountable for its performance. * Formulate and solve the pricing problem properly. The mathematical foundation doesn't fully exist yet. Your first job is to define it: a dynamic, real-time system that simultaneously optimises for signing probability, portfolio balance, and margin. Choose the right approach — stochastic programming, reinforcement learning, classical ML, or a hybrid — based on the problem, not familiarity. * Build and ship models end-to-end. Own the modelling and data layer. Write production-grade Python. Architect models with deployment in mind and carry them through to production — you can execute without being blocked by engineering dependencies. * Solve imbalance problems. Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. * Be the voice of pricing ML across the business. Commercial, product, and engineering teams depend on this engine. They need to understand what it's doing and why. You make that happen — clearly, without losing precision. 🎯 Requirements Must-haves: * Deep experience building ML systems for pricing, revenue optimisation, or real-time decision-making — at companies where pricing is the product, not a supporting function. Track record of models that reached production and moved commercial metrics. * Strong foundation in stochastic optimisation and probabilistic modelling. The judgement to formulate ambiguous business problems mathematically before reaching for a tool. * First-principles reasoning across methods. You choose between stochastic programming, reinforcement learning, classical ML, or a simple heuristic based on what the problem demands. * The engineering depth to match your modelling. Production-grade Python, high bar for code quality, and the ability to carry models from formulation to deployment without being blocked. * Senior technical leadership. A track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model behaviour into clear terms for commercial, product, and engineering stakeholders — so decisions are understood and acted on. Bonus points: * Experience with real-time pricing at scale — ride-hailing, food delivery, logistics, or similar environments where latency and portfolio effects matter. * Familiarity with energy markets, power trading, or portfolio risk management. * PhD or equivalent research depth in a quantitative discipline — statistics, applied mathematics, operations research, or similar. * Ability to reason about trade-offs between optimisation solvers (Gurobi etc.) and gradient-based methods (PyTorch etc.), and the judgement to know when to reach for each. * Experience with causal inference or reinforcement learning in applied commercial settings. 🗣️ Interview Process Our processes normally take around 2–3 weeks from first call to offer — please let us know about any timeline adjustments you need. 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 our Rosso GM, hiring manage for this role (45 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 will discuss technical topics and experiences. 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.

Cambridge Consultants

THE ROLE   We have an opportunity for a Principal Engineer in our AI & Algorithms department, working with a particular focus on our defence and security clients. You’ll join a team of talented engineers and scientists designing, building and testing intelligent systems that require cutting edge algorithms. As one of the senior technical voices in the team, you’ll be architecting the algorithmic approach on our projects, setting the technical bar for others, and helping shape the work we deliver. As well as hands-on engineering, you’ll spend time with clients, using your expertise to win new projects as well as deliver them. You’ll work in multidisciplinary teams that use our labs and computing resources to enable us to deliver ambitious projects. Much of our defence and security work requires security clearance, so we ask for it up front. You won’t work exclusively in that sector, but a genuine interest in it matters to us.  We offer a flexible approach to hybrid working, although some of the projects you will be working on will require full-time working in the office. WHAT YOU’LL BE DOING   * Applying data-driven software development in machine learning/AI, applied statistics, and sensor processing, alongside mathematical computing techniques such as digital signal processing, simulation, and numerical optimisation.  * Acting as technical lead and architect on our larger, more complex projects, owning the technical solution and the value it delivers to the client.  * Setting technical direction and acting as technical reviewer across the department, with your opinion sought by colleagues.  * Leading the development of proposals and costed work programmes, turning client problems into work we can win and deliver.  * Driving internal capability and demonstrators that keep us at the leading edge and open up new conversations with clients.  * Mentoring engineers and conducting technical interviews to help us recruit and grow strong people.  * Contributing to how the department works, improving our processes and technical standards.  WHAT YOU CAN BRING We are looking for an experienced engineer, with the breadth to lead the algorithmic component of multidisciplinary work and the ability to work with our commercial teams to help create and win new work. * 5+ years’ experience designing and delivering cutting edge algorithms for intelligent systems, including working on defence or security projects.  * Technical skills in one or more of: transformer models, diffusion models, reinforcement learning, machine vision and perception.  * A strong undergraduate degree in a relevant technical subject, such as AI/machine learning, computer science, mathematics or, physics. A PhD in a relevant subject is welcome but not required; deep, demonstrable industrial expertise is what matters.  * Strong Python and software engineering judgement. * The ability to architect the technical approach on complex projects and to review the work of others, including working autonomously as the technical authority.  * Experience mentoring and developing engineers.  * Experience working with non-technical stakeholders for your work.  * Interest in working directly with clients and contributing to proposals and sales conversations.  * A genuine affinity for working in the defence and security sector.   Because of where this role sits, holding (or being able to obtain) UK security clearance is essential. You must be eligible to obtain Security Check (SC) level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government criteria.  While not essential requirements, we would also be very interested if you have experience with any of the following:  * Technical experience with any of: signal processing, edge computing, statistical modelling, numerical optimisation, or simulation.  * A track record of building client relationships and leading the technical side of sales campaigns and proposals.  * An established external profile: publications, conference talks or shareable project credentials  * A PhD or published research in a data-driven field   WHY CAMBRIDGE CONSULTANTS?  Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients. We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so there is no shortage of variety.  At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have the chance to work on a wide variety of projects that deliver real value using technology.   We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. ---------------------------------------------------------------------------------------------------------------------------------- By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. ----------------------------------------------------------------------------------------------------------------------------------

Primer

An Introduction to Primer Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform. Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we're building the payments layer the world's best companies rely on. Watch our showcase > Read up on our $100m Series C Learn more about our culture > WHICH TEAM WILL YOU BE JOINING? The merchant experience is only as good as the platform behind it — and most of that experience is the interface itself. The Account Experience team builds and owns the full platform merchants use to interact with Primer — from initial setup through to day-to-day operations, and increasingly through Primer AI Companion as a first-class interface. The team spans several connected areas: Primer Companion, Merchant Account Setup, Monitors, Workflows, Auditing, and the cross-cutting concerns that keep the whole merchant experience cohesive. As Staff Engineer you'll set front-end technical direction across these areas, not within a single one. You'll work across 2-3 teams, partner with multiple stakeholders, and stay hands-on in the implementation that matters most. The team runs a 'you build it, you own it' model: engineers own their work from design through to production. The stack includes TypeScript, React, and modern front-end tooling, sitting on top of services in Python, AWS, Kubernetes, and Terraform. WHAT WILL YOU BE DOING? * Setting and driving front-end technical strategy across the Account Experience teams, from architecture and component-system decisions through to hands-on implementation where it counts * Owning the architecture of a complex, data-dense merchant platform — the patterns, state management, and performance characteristics that hold up as the surface area grows * Shaping how Primer AI Companion matures as a first-class merchant interface, including the front-end architecture that makes a conversational surface feel native to the platform * Holding the experience coherent across Account Setup, Monitors, Workflows, and Auditing — building the shared component and design-system foundations that stop the areas drifting apart * Leading engineers across teams without direct authority, through code, design reviews, and technical mentorship that raises the front-end bar around you * Owning the things that are easy to neglect: accessibility, performance budgets, and front-end observability as first-class concerns, not afterthoughts * Partnering with Product and Design, and with backend engineers across teams, to shape decisions where front-end constraints or opportunities are material WHAT WE'RE LOOKING FOR * Demonstrable experience operating at staff or principal level: setting front-end technical direction across multiple teams, not just within one * Deep front-end engineering expertise with TypeScript and React, and a track record of architecting complex, long-lived web applications * Real fluency in the things that separate good front-end from great: state management at scale, performance, accessibility, and component-system design * The kind of judgment that earns trust fast — engineers follow your technical lead because you're right, not because of your title * Enough comfort across the stack to reason about the APIs and services your front-end depends on, and to partner with backend engineers as an equal * Strong written and verbal communication, including making complex technical decisions legible to Product, Design, and non-technical stakeholders * Comfort working in payments, fintech, or platform contexts is welcome, though depth of engineering matters more than the specific industry YOU MAY NOT LIKE IT HERE IF: * You prefer a defined lane — at Staff level you'll be expected to find and shape the work across several teams, not wait for it to be handed to you * You think of front-end as the layer that just renders what the backend sends — here it's a first-class engineering discipline with real architectural weight * You want a QA team to catch your bugs — we don't have one, and we don't plan to * Remote-first feels like a compromise to you — for us it's deliberate, and it demands real discipline and strong async habits ✅ A TYPICAL INTERVIEW PROCESS * An initial intro call with a Talent Partner * An interview with the Hiring Manager * Challenge Stage - Contextualised to the role * A final, values-alignment interview WHAT'S THE CULTURE LIKE AT PRIMER? We're building a culture where people can do their best work and be proud of the impact they have. You'll be working with people who are mission-driven, smart, and reflective, and who are genuinely invested in building exceptional products and delivering success for our merchants. We work remotely, and have done since day one. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships through great remote working practices and thoughtfully designed face-to-face time, including workations, our annual company retreat, and access to co-working spaces across most major cities. The work is challenging. Scaleups are a challenge, and building category-defining products is a challenge. But there's a meaningful difference between a challenge and a struggle. At Primer, the right challenge comes with the right support: strong onboarding, a collaborative environment, and a team that is genuinely invested in your success. It's never something you face alone. OUR BENEFITS 🌍 We are fully remote and globally distributed; and have been since day one 💰 Competitive share options 🌴 Uncapped holiday, with 25 days minimum to be taken 🗣️ Co-working space access across major cities 📅 Workations & Company Retreat 💻 The best equipment for your role 🏠 £500 towards your home office setup 🔎 Generous learning budget 🏥 Private Medical Insurance 📈 A broad set of additional perks and benefits (depending on location) DON’T MEET EVERY SINGLE REQUIREMENT? At Primer, we're dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification listed, we encourage you to apply. You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees and adopts a zero-tolerance approach to discrimination, regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, marriage and civil partnership, or any other background or belief.