Staff Writer and Editorial Lead

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.

Wireless Logic

WHAT WE’RE ALL ABOUT: Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the world of IoT connectivity!  But we’re more than that. 🌍✨ Our mission? To make IoT management a breeze for any device, anywhere. With over 10 million IoT subscriptions active in 165 countries and direct partnerships with 50 mobile networks, we connect you to more than 750 networks worldwide, delivering unmatched value across the IoT connectivity chain. Innovation is in our DNA, and we have an insatiable hunger to ‘wow’! 🚀 While we may not always get it right, our drive to collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities. IOT… A FANCY ACRONYM OR A SECRET CODE? The Internet of Things (IoT) is like the magical glue that keeps the world connected! 🌐✨ From ordering your favourite takeaway to the ANPR technology that helps you find a parking spot, IoT is everywhere—even if you don’t realize it. At Wireless Logic, we provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected. The Role — Interstellar Squad The Interstellar Squad owns a core part of our commercial platform: the billing run — a mission-critical, high-volume pipeline that turns large-scale usage data into timely, accurate invoices for customers worldwide. It's a technically rich domain: distributed data processing, event-driven workflows, financial correctness, and operational reliability at scale. We're looking for a Staff Software Engineer to set the technical direction for Interstellar, raise the engineering bar across the squad, and guide delivery of a platform that has to stay correct, predictable and scalable as the business grows. A central part of this role is leading the gradual modernisation of a mature platform into a set of focused, TypeScript-based domain services — using a strangler-fig approach to extract capabilities incrementally, keeping the existing system safe and our customers unaffected while we evolve the architecture. You'll report to an Engineering Manager and partner closely with the Product Manager, Delivery Manager and engineers in the squad, as well as peer Leads across the domain. You'll have the mandate to shape how we design, build and run our systems — and the responsibility to keep the team aligned behind that direction. This role is based in the UK to work alongside the local squad and a team in Poland. You will be expected to travel to our Poland offices at least once a quarter. Key Responsibilities * Set and communicate a clear technical vision for the squad's services, aligned with product and business objectives, and translate it into concrete near-term work * Lead the incremental decomposition of a mature platform into well-bounded, TypeScript / Node domain services using a strangler-fig pattern — defining seams, sequencing extractions, and protecting delivery and correctness throughout * Define and uphold engineering standards for code quality, testing, observability, and operational readiness across the squad — applied consistently to both legacy and new services * Own complex technical decisions end-to-end: articulate trade-offs, choose an approach, document it, and bring the team along * Drive architecture and system design for distributed, data-intensive billing workflows — simplifying where we can, investing where it pays off * Lead the design and implementation of SLIs and SLOs for squad-owned services (Grafana), and take ownership of their health and reliability in production * Guide CI/CD and delivery practices in collaboration with the squad (GitLab), keeping cycle time short and releases safe across both old and new components * Raise the bar on code review — provide thorough, growth-focused feedback and coach engineers to do the same * Mentor engineers at all levels, create clear growth paths and unblock them day to day; help the team build confidence in modern TypeScript/Node practices * Champion AI-assisted/agentic engineering (IDE agents, CLI tooling, reviews) — set norms for when and how to use it, keep humans accountable for correctness, and share practices with peer squads * Partner with Product and Delivery to shape roadmaps, size work honestly and manage technical debt with intent * Represent the squad in cross-domain technical forums and contribute to the wider engineering direction Key Experience & Skills Required * Proven experience leading the technical direction of a squad or product area, not only as an individual contributor * Deep, production-proven backend expertise in a modern, strongly-typed stack — ideally Node.js / NestJS / TypeScript and/or PHP 8.x / Symfony * Demonstrable experience modernising or decomposing a mature monolithic / legacy system into smaller services — comfortable with strangler-fig, anti-corruption layers, contract design, dual-write / shadow strategies, and incremental cut-overs * Strong background in distributed systems and event-driven / asynchronous processing (e.g. RabbitMQ, Kafka, SQS) * Experience designing and operating data-intensive, business-critical services where correctness, idempotency and recoverability matter * Strong command of PostgreSQL (query design, indexing, performance tuning); bonus for distributed/sharded setups (e.g. Citus) * Experience owning CI/CD pipelines and release strategy in a team setting (GitLab or equivalent) * Track record of defining and enforcing engineering standards — type safety, clean architecture, testing, observability * Practical experience with observability and SLO-driven operation of production services (metrics, tracing, logs; Grafana or similar) * Strong communication and stakeholder skills: can explain trade-offs to engineers, PMs and senior leadership clearly and honestly * Experience mentoring engineers and developing them over time * Sensible, hands-on exposure to AI-assisted development (e.g. Cursor, Claude Code, GitHub Copilot or similar) with a thoughtful view on where it helps, where it doesn't, and how to use it safely in a team context Preferred * Experience leading a PHP → TypeScript / Node transition (or equivalent cross-language modernisation) * Strong understanding of TypeScript at an architectural level: generics, decorators, dependency injection patterns and type system design * Experience with PHP / Symfony monorepos and shared library patterns * Background in billing, financial or metering/rating domains * Familiarity with AWS-based platforms (ECS, S3, Parameter Store, SES) * Experience evolving a team from an IT-delivery mindset toward a Product Operating Model * Exposure to projects involving LLMs or Machine Learning in a production context What Will Make You Shine at Wireless Logic * Leads with technical credibility — brings architectural confidence without becoming a bottleneck * Creates clarity — turns ambiguous domain problems into simple, well-structured decisions * Modernises pragmatically — knows when to extract a service, when to leave it, and how to keep the lights on while the architecture evolves * Executes through the team — balances writing code with enabling engineers to do their best work * Manages delivery pragmatically — breaks down problems, sequences work, communicates progress and risk early * Manages technical debt with intent — makes informed, defensible calls about when to refactor * Partners with Product — translates business outcomes into technical plans and back again * Coaches and grows people — gives direct, kind feedback and invests in the team's development * Models continuous learning — including thoughtful adoption of new tooling and AI-assisted workflows Why Come Work with Us? * The chance to join a creative, entrepreneurial company where bold ideas are celebrated * Full training, ongoing support, and the tools to help you thrive and grow in your role * A company with heart — we genuinely care about our people and make sure everyone feels valued, respected, and part of the team Overview of Interview Process * Tele Interview — Meet the people team * Online Technical Task * Behavioural Interview — Meet your hiring manager & Delivery Manager * Technical Interview - Meet Engineering Manager & a peer Tech Lead * Leadership Interview - Meet your leadership How We Work We've adopted a hybrid working approach to give flexibility on where and how we work. This role is based in the UK to work alongside the local squad and a team in Poland; you'll find out more about what this means for the role during the recruitment process. You will be expected to travel to our Poland offices at least once a quarter. #LI-Hybrid #LI-CC1 We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process, but we are currently excited to have our employees experience our office culture as much as possible.   Wireless Logic Group unites and brings people together. We accomplish this when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture we aim to reflect the world’s diverse voices both internally and externally to ensure success in our mission.   By applying for this role, you are consenting for us to hold and process your data in compliance with the General Data Protection Regulations. If you have any questions or wish to exercise your right to access, erase or restrict the holding or processing of your data please contact us (recruitment@wirelesslogic.com) and we will respond to your query as soon as possible.

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.