📈 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:

We're looking for a Senior Analytics Engineer to help build and shape the analytics foundation of a growing startup.

You'll join a small data team and work on the analytics layer end-to-end: core data models, trusted metrics, and the patterns that

enable the rest of the company to use data with confidence. This is a hands-on, individual contributor role (no people

management), with significant technical ownership across the business.

You'll work primarily with dbt for transformations and Omni as our semantic and analytics layer, partnering closely with

Marketing, Finance, Operations, and Data Engineering. In your first few months, you'll get fully up to speed on our warehouse and

dbt project and start shipping production-ready models, take ownership of at least one core business area (e.g. Marketing or

Revenue metrics) to improve structure, documentation and consistency, and build strong relationships with stakeholders — becoming

a trusted point of contact for analytics questions.

🚀 RESPONSIBILITIES

Build and maintain the analytics layer: Design, build, and maintain core dbt models that represent the business (e.g.

customers, revenue, marketing performance, operations) and keep them production-ready — contributing to the source of truth the

business operates on.

Implement and document company metrics: Partner with stakeholders to understand metric needs, translate them into clear

definitions, and implement them in Omni so teams can self-serve with confidence.

Deliver cross-functional analytics projects: Work across multiple domains and teams to ship high-impact analytics work —

coordinating with stakeholders, managing your own sequencing, and seeing projects through to done.

Make pragmatic modelling trade-offs: Balance speed, accuracy, and long-term maintainability; contribute to patterns that scale

as the company grows.

Raise data quality and trust: Apply dbt tests, CI/CD, and documentation standards to catch issues early and reduce regressions.

Partner upstream to fix root causes: Work closely with Data Engineering to diagnose data issues, improve source/warehouse

design, and keep the warehouse performant and reliable.

🎯 REQUIREMENTS

Must-haves

Strong hands-on experience as an Analytics Engineer in a fast-moving environment.

Deep, practical dbt experience, including:
Incremental models
Custom macros
Debugging and optimising slow or expensive models
Project structure and maintainability

Excellent SQL and solid data modelling fundamentals.

Experience with a semantic layer or BI modelling tool (Omni, Looker, or similar).

Experience translating business questions into metric definitions with stakeholders.

Comfortable working with ambiguity and limited process.

Nice-to-haves

Experience working with Marketing and Finance data.

Exposure to early-stage analytics stacks or building analytics from scratch.

Familiarity with experimentation, funnel analysis, or unit economics.

✨ BENEFITS & PERKS:

Salary: Competitive salary — we are looking to pay £85,000 or equivalent in local currency.

We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level.

Stock Options — everyone on the team has ownership in our mission.

25 days holiday + public holidays — Swap public holidays for ones that matter most to you. Plus, get an extra day off for your

birthday 🎉.

Remote & flexible working — We're fully remote, distributed across Europe with clear core hours, and no internal meetings on

Friday afternoons.

Home working & wellbeing budgets:

Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.).

Up to £150 / €150 monthly on anything that supports your wellbeing — from therapy to gym memberships to meditation apps.

🗣️ 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.

First call with our Talent Team (30 mins) — This is to understand your experience, motivations, and discuss the role in more

detail.

Behavioural Interview with our Data Manager (75 mins) — This is your chance to really understand the role, the expectations, and

ensure alignment on ways of working.

Technical Interview with the Team (60 mins) — You'll meet with potential peers in this session and work through a live technical

exercise.

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. It's 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.

Roll

Senior Analytics Engineer

Plats

United Kingdom, Storbritannien

Publicerad

20 maj

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

SQL AI Rust CI/CD

Liknande jobb

Senior Backend Engineer

Cytora•United Kingdom

Shape the Industry and Your Career At Cytora, now an Applied Systems company, we’re transforming how insurers and brokers connect, operate, and grow. Our AI-powered platform is driving smarter decisions, greater efficiency, and seamless collaboration across the global insurance ecosystem. As we accelerate digital transformation, we’re looking for curious, collaborative minds ready to help shape what’s next. If you’re energized by innovation and inspired by impact, your future starts here. Position Overview As a Senior Backend Engineer at Cytora, you will be joining a backend functional team. As such, the teams are small (maximum 4/5 people) and work independently of each other. Each team has a technical lead and a product owner steering the team to make sure we deliver the right features. Regardless of team you join, you will be prototyping, implementing, shipping and supporting features that are changing the insurance industry. The core of our product is to digitize risks and to accomplish that we rely heavily on Generative AI. Our engineering and product teams are distributed across Europe. Below you can find the required and preferred qualifications. We made this list quite extensive so that you also get a taste of our tech stack! This role requires experience with: * Git (we use GitHub) * Python (buzzwords: msgspec, httpx, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) * Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers!) * Rest APIs (we use openapi spec to document our apis) * Relational Databases (we use Postgres) * Docker (we use Docker to package our code, and docker-compose to run it locally) * AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) * AWS S3 * AWS RDS * AWS API Gateway * AWS SQS * AWS SNS * AWS SES This role benefits from experience with: * Redis * GCP VertexAi (we use gemini a lot) * GCP BigQuery (we use it to power our analytics) * OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) * Prompt Engineering * Kubernetes * CircleCI * DataDog * Auth0 * Role Based Access Control * JsonSchema * Pusher (we use it to push notifications to our Frontend Web App) * LocalStack (we use it to mock AWS services locally) * Terraform Why Cytora We’re building the future of insurance and we’re doing it together. At Cytora, now an Applied Systems company, we’re driven by a shared mission to transform the industry through AI-powered solutions that deliver smarter decisions, stronger connections, and better outcomes. We foster a culture that values who you are and recognizes that you’re more than your role: you’re a teammate, and you matter. We thrive on the strength of our diverse experiences and celebrate the uniqueness each person brings to work every day. We believe flexibility fuels performance. Whether remote, hybrid, or in-office, we empower our teams to work in ways that work best for them. Here’s what you can expect when you join us: * Competitive salary * Flexible working and remote options * Professional development budget & conference access * Annual company retreats * A mission-driven culture that puts people first Location Cytora are a remote-first company. For this role you can be based anywhere in the UK or Ireland provided you have fluent spoken and written English, and have the permanent right to work without requiring visa sponsorship. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Sista ansökan: 16 aug.Publicerad: 30 mars

PythonAWSGCP

Senior Machine Learning Engineer, Developer Advocacy | UK | Remote

Grafana Labs•United Kingdom

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com [http://grafana.com] and follow us on LinkedIn [https://www.linkedin.com/company/grafana-labs/] and X [https://twitter.com/grafana]. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. SENIOR ML ENGINEER RECOMMENDER SYSTEMS, DEVELOPER ADVOCACY | UK | REMOTE This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. * Evolve the Interactive Learning Plugin's recommendation system * Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. * You’ll own a real-time recommendation service * Build and operate applied models * Develop, validate, version, monitor, and iterate on models used by the recommendation system. * You’ll own model training & serving * Define what recommendation quality means * Develop offline, online, and longitudinal measures of recommendation performance. * You’ll own feature pipelines, monitoring of the model and architecture * Ship incremental improvements * Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow. * Integrate improvements into the existing recommender rather than waiting for a complete replacement system. * Partner across disciplines * Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service. * Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis. * Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions. * Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. * Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn. * HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems * Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: * Experience with content, education, onboarding, or learning recommendation systems * Experience with SaaS product telemetry and customer-account data * Experience using warehouse-scale behavioral data * Experience with directed graphs, sequence models, or prerequisite-aware recommendations * Experience with contextual bandits or other exploration strategies * Familiarity with Grafana or the broader observability ecosystem * Experience with open source software or transparent development practices * Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: * 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. * Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. * Transparent Communication – Expect open decision-making and regular company-wide updates. * Innovation-Driven – Autonomy and support to ship great work and try new things. * Open Source Roots – Built on community-driven values that shape how we work. * Empowered Teams – High trust, low ego culture that values outcomes over optics. * Career Growth Pathways – Defined opportunities to grow and develop your career. * Approachable Leadership – Transparent execs who are involved, visible, and human. * Passionate People – Join a team of smart, supportive folks who care deeply about what they do. * In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. * Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy [https://grafana.com/legal/applicant-and-candidate-privacy-policy/].

Sista ansökan: 22 aug.Publicerad: 22 juli

Other

Senior Technical SEO Specialist - Remote Europe

Reedsy•United Kingdom

About Reedsy We’re here to give authors the tools and resources they need to create beautiful books. Our curated marketplace gathers the industry's best publishing professionals — the likes of Stephen King's designer, Neil Gaiman's editor or Walter Isaacson's publicist. We’ve grown to a community of 3,000,000 authors and over 5,000 freelancers in just a few short years, while picking up a number of industry awards along the way 🏆 Want to help us? Cool, keep reading! Responsibilities We receive millions of visitors each month, and content marketing is our primary customer acquisition channel. Your role is to ensure our content is as discoverable as possible across both traditional search engines and AI-powered search. * Be the technical SEO lead for a team of seven writers. * Conduct technical SEO audits (site architecture, crawling, indexation, Core Web Vitals, schema, internal linking, etc.). * Research, test, and implement new strategies to improve both SEO and AI search visibility (GEO/AEO). * Conduct regular reporting on rankings, AI citations, CTR, and other key metrics, with recommendations for re-optimization. * Build AI-assisted workflows for content production, SEO analysis, and reporting. Requirements * Outstanding knowledge of technical SEO, on-page SEO, and website architecture. * Excellent analytical skills, with hands-on experience using tools such as Google Analytics, Google Search Console, Ahrefs, Screaming Frog, and similar platforms. * Hands-on experience optimizing content for AI search (GEO/AEO), including ChatGPT, Gemini, Claude, Google AI Overviews, Perplexity, and other AI assistants. * Strong understanding of structured data (Schema.org), crawling, indexation, and modern web technologies. A background in software development is a plus. * Experience working closely with both engineering and editorial/content teams. * Comfortable using AI tools and automation to improve SEO workflows and scale content operations. Bonus Points * You've helped scale organic traffic for a startup through content and technical SEO. * Experience optimizing for platforms beyond Google, including YouTube, Reddit, Perplexity, and other emerging discovery channels. * Experience with Python, SQL, workflow automation tools (n8n, Make, etc.), and vibe-coding. * A good dose of ambition, and an even better sense of humor. * Fluent in multiple languages. Reedsy welcomes candidates from all backgrounds.

Sista ansökan: 16 aug.Publicerad: 15 juli

PythonSQLAI