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Forward Deployed Engineer - Mexico About the Company We're partnering with an AI-native operating system for supply chains used by wholesalers, manufacturers, retailers, and traders. The platform integrates logistics and procurement data through connections with internal and external systems, enabling predictive analytics and automated workflows that improve fill rates, reduce inventory levels, and optimize cash-to-cash cycle time. By leveraging predictive analytics and automation, the company helps large enterprises reduce costs, unlock additional revenue, and prevent under- or over-stocking across complex global supply chains. Role Overview The Forward Deployed Engineer (FDE) is the person who makes the platform work in the real world. This role sits at the intersection of engineering, client operations, and AI implementation — and owns the technical execution of how the platform gets built into each client's environment. The FDE works directly with clients and the Implementation team, learns how each client's systems and operations actually run, and builds the integrations, automations, and AI solutions that make the platform mission-critical. This is a first-of-its-kind role at the company — the person who takes it will be defining what forward deployment looks like here. Key Responsibilities Build integrations between the platform and client systems — ERPs, WMS, TMS, data warehouses — writing real code to connect, extract, and transform data across environments Deploy alongside clients in their environment — understand how their teams actually operate, where data breaks, and what needs to be built or configured to run reliably Design, implement, and iterate on AI workflows using the company's platform — agentic flows, prompt engineering, context design, and output evaluation — tuned to each client's specific supply chain use cases Own the reliability, performance, and continuous improvement of live deployments — monitor outputs, identify failure modes, and fix them without waiting to be asked Translate what you build and learn in the field into structured product feedback, technical documentation, and reusable playbooks — so the next deployment starts smarter than the last Profile We're Looking For You build things: Min. 2-4 years of hands-on engineering experience — Python, REST APIs, SQL — and a portfolio of real integrations or systems you've shipped, not just designed You operate in ambiguity: comfortable walking into a client environment without a complete spec, asking the right questions, and figuring out what needs to be built — without waiting for perfect requirements You understand data end-to-end: how it flows across systems, where it breaks, and what it takes to make it clean and reliable enough for AI to use — SQL or equivalent is second nature You have a working understanding of AI and LLMs: enough to design prompts, evaluate outputs critically, and know when a model result looks right but isn't You communicate clearly across audiences: can explain a technical integration to a VP of Operations and write clean documentation for an engineer — in both Spanish and English You own what you ship: high accountability, low ego — you track down the root cause, fix it, and make sure it doesn't happen again Based in LATAM or the US, available to work across time zones and travel to client sites when needed Nice to Have Background in supply chain, logistics, or operations — you'll understand what stockouts, fill rates, and OTIF mean without needing a glossary Experience integrating with enterprise systems like SAP, Oracle, or similar ERPs and WMS platforms Previous experience in a forward-deployed, solutions engineering, or customer-facing technical role Find Jobs in Germany on Arbeitnow

Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role We're hiring a leader to help shape how we approach trust and safety at Ash, in our model and in our product. People bring deeply personal things to Ash. That creates difficult questions about how the product should behave, how we respond when something goes wrong, and how we protect people while respecting their privacy and autonomy. You'll work alongside psychologists, researchers, and machine learning engineers to develop novel systems for AI in a sensitive domain. You'll help us answer hard, ambiguous questions about our model's policy, investigate, research, develop new policies, and implement them, and communicate clearly about them to both internal and external audiences. The role combines strategy, hands-on operations, and communication. You might spend one day working through a difficult safety decision with our clinical and legal teams, the next building a process for handling user reports, and the next writing an explanation of our approach for the public. We're looking for a thoughtful generalist who learns quickly, makes things happen, and cares deeply about getting this right. What you'll do Develop our principles and policies. Work through questions where safety, privacy, user autonomy, and product usefulness pull in different directions. Research the problem, seek expert input, and make a reasoned recommendation. You'll work with our team, our advisors and experts and others to build principles for how to handle decisions. Turn ambiguous issues into clear decisions. Investigate user reports, emerging risks, and new requirements. Establish what we know, what remains uncertain, and what we should do next. Make the response work in practice. Build clear processes for triage, investigation, escalation, and follow-through. Define who does what, create the tools and documentation they need, and handle the operational details yourself. Turn learning into product improvements. Work with engineering, machine learning, clinical, and legal colleagues to translate findings into changes to Ash and the systems around it. Build, test, and improve quickly. For new systems, put a useful first version in place, learn from real cases, and refine it. Match the pace and level of review to the consequences of the decision. Write clearly, internally and externally. Produce policies, practical guidance, and public explanations of our safety approach. Help communicate our evaluations and findings, including their limitations. You'll build initiatives or benchmarks we can share with the outside world to help us and the industry at large do better. Represent our thinking. Explain and defend our approach with partners, clinicians, and other audiences. Engage seriously with criticism and bring what you learn back into the work. About you You have strong judgment. You can reason through a difficult question, weigh competing considerations, and recommend a course of action without pretending every answer is certain. You're an excellent writer and communicator. You can turn complex thinking into clear, precise prose. You enjoy doing the research and developing the argument as much as writing the final piece. You can present well and understand how to communicate what we're doing to the outside world. You've built something and made it better. It could be a product, an operational process, a program, or an independent project. You can show how you moved from an unclear problem to something people used, then improved it through feedback. You're resourceful and hands-on . You're willing to investigate individual cases, coordinate people, write the checklist, and follow up until the work is done. You seek out expertise without needing someone else to supply every answer. You know when to consult a clinician, engineer, lawyer, or researcher, and can turn their input into a practical decision. You're intellectually curious and willing to change your mind. You can explain a time when evidence challenged your assumptions and changed your approach. You handle sensitive information with care and stay thoughtful under pressure. You recognize that this role will involve handling difficult topics on a regular basis including abuse, eating disorders, suicide and death. You can handle these topics maturely and know how to manage your own mental health, seeking support for yourself as needed. You care deeply about people's mental health and the opportunity in front of us. You want more people to have access to good support, and you take responsibility for the trust that requires. You might come from product, operations, consulting, law, policy, psychology, cognitive science, or another field that has taught you to think rigorously, write well, and execute. Clinical qualifications and previous trust and safety experience are useful, but neither is required. Find Jobs in United Kingdom on Arbeitnow

We're looking for We are looking for you as a Working Student Analytics Engineering (f/m/x) to join one of our various departments and help us at thermondo make an important contribution to climate neutrality. With your interest in renewable energy and your identification with our values — Our word counts, Better every day, and Stronger together — you can create real added value for all of us If you enjoy this Answering Data-related questions from business stakeholders across all departments Building new dashboards and improving existing dashboards in Looker Conducting ad hoc analyses and translating data requests into clear results Monitoring data quality and working closely with our Analytics Engineers Documenting KPIs and data sources, and contributing to our data dictionary Writing basic SQL queries for data exploration and analysis And recognise yourself here You are enrolled in a data-related or analytical degree programme, such as Data Science, Business Informatics, Statistics, Economics or a comparable field, with at least two semesters remaining. SQL basics: You understand basic syntax, filtering, JOINs and aggregations. BI experience: You have worked with a BI or reporting tool such as Looker, Tableau or Power BI and can explain what you built with it. Data understanding: You can prepare analysis results clearly and explain them to non-technical stakeholders. AI tools: You use tools such as Gemini or Claude in a practical way to support analysis, research or problem-solving. Independent work: You have initial practical experience with smaller data-related tasks and can structure your work with limited guidance. Languages: You speak German at least at B1 level and English at C1 level. What we have to offer A meaningful purpose — through your work, you make an important contribution to making homes climate-neutral Professional development opportunities with experienced mentors Interaction with other working students in an open working environment A collaborative team with diverse backgrounds A fantastic culture within the team and beyond A modern office in the heart of Berlin The option to bring your dog to work one day per week Working in a hybrid model The option to lease a company bike The option to use a membership at Urban Sports Club Corporate benefits with more than 100 partners About us Every application is welcome at thermondo — regardless of gender, nationality, ethnic or social background, religion, beliefs, disability, age, sexual orientation, or identity. We believe that every person is valuable and deserves a fair chance. No home is like another, but for each of us, home is where we belong. It represents what defines us and what matters to us. It has always been the place where we want to feel safe, secure, and undisturbed. But we believe that our homes will stand for more in the future — namely, for the generations that come after us. We believe our homes can do more. They can be electrified, intelligent, efficient, independent, and climate-neutral. We believe climate-neutral living should be accessible, affordable, and easy for everyone. With every heat pump installed outside a home, every photovoltaic system installed on a roof, and every wallbox installed in a garage, we contribute to climate-neutral living. We do not just believe in climate-neutral living — we make it possible. For millions of homes.Together. Every day. One home at a time Your application process Your CV is reviewed by our Talent Acquisition team An initial introductory conversation with your Talent Acquisition Manager, Alex If we have a suitable open position, we will contact you again about the next steps If there is currently no suitable position available, you will become part of the thermondo talent pool for future opportunities Find more English Speaking Jobs in Germany on Arbeitnow

Our mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Care group. Reporting to the Manager, Data Science, this role will lead technical innovation to drive engagement and adoption of Spring Practice - Spring Health's core care coordination and provider platform - leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve member and provider experience, care coordination efficiency, and health outcomes. This is a full-time, remote position on our team. Occasional travel may be required for company or team events/meetings. What you'll do: Lead analytical strategy for Care: Own the end-to-end analytical strategy to improve engagement and outcomes across Spring Practice. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify opportunities to improve member scheduling, provider matching, and care coordination workflows. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes. Drive rapid experimentation and outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale improvements to member and provider workflows within Spring Practice. Some projects will require quasi-experimental approaches to measuring impact. You will consult on test design and, at times, analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach. Act as an embedded technical leader: Serve as a dedicated data scientist within the Care pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis. Leverage diverse and complex data: Work with large, multi-source datasets to perform feature engineering and uncover novel insights. This will involve both formal analysis and "scrappy" data sourcing to quickly answer critical business questions. You will coordinate closely with a partnered Analytic Engineer and Data Analyst embedded with Care. What success looks like: Incremental increase to Spring Practice engagement and utilization Improvement in member and provider workflow efficiency (e.g. scheduling, care coordination)Achieving quarterly experiment velocity goals What you'll bring: 5+ years of professional data science experience Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods. Proficiency with SQL and Python Experience with data modeling via dbt or similar tools Experience working with data visualization and BI tools (e.g., Omni, Hex) Experience with product development and the software development lifecycle Excellent verbal and written communication skills to guide and make recommendations to business partners Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams. Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment Proven success at navigating ambiguous problem areas and learning new approaches Willingness to travel (at least 2 times per year) for collaborative sessions and summits with the team The target base salary range for this position is $159,100 - $179,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note : We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom , a weight management program—based in psychology, that's tailored to your unique needs and goals. Access to fertility care support through Carrot , in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub , which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons , which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive . If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know. Find Jobs in Germany on Arbeitnow

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that's close to our R&D hubs in Dublin and London. It's a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent! What's the opportunity? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation. Contribute to our technical architecture as we grow. We scale to service requests from all our customers' customers. We're growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn't need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Find more English Speaking Jobs in Germany on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, with regular time in the lab The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role builds our analysis from the start. Every result leaves an instrument as a trace or a vendor file, and it has to become a value someone can rely on, linked back to the sequence and sample it came from. That means fitting it properly, checking it against controls, catching the plate or reagent lot that drifted, and showing the evidence. Someone has to own that work. That is this role. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will join the intelligence team and own the analysis of our assay data, and the data and ML infrastructure it runs on, from the point the data has been captured to the result that gets delivered. You will work most closely with the protein characterisation scientists who run the assays, and with the software team, who get data out of the instruments and own the platform it lives on. You build on top of that platform, and you own the quality of the analysis that runs on it. The role is part data engineer and part biostatistician, and all of the data is biological. Much of it is building the analysis and ML pipelines that run on our captured data, and the statistics inside them. The rest is presenting those results clearly, with the statistics that matter, such as uncertainty and QC, shown in a form they can understand. The value is in doing that carefully, in code that behaves the same way on every run. What you will own ● Analysis and ML pipelines that turn captured assay and sequence data into consistent, versioned datasets, linked to the sequence, sample, plate and well each result came from, built with the software team who own data capture. ● Data validation before any analysis runs, catching a mislabelled plate, a swapped sample or a missing well. ● Sequence-level bioinformatics, such as computing the properties of each protein sequence and checking constructs for problems before the DNA is ordered. ● Biostatistics for experimental data: experimental design, replicates and controls, error propagation, outlier handling, and assay acceptance criteria, such as CV across replicates, Z′ for plate assays, and reference standards staying within range. ● Curve fitting, including dose-response (EC50 and IC50) with sound normalisation and fits to SPR, BLI, HPLC and nanoDSF traces, with a measure of confidence on each fitted parameter and automated QC that sends doubtful fits to a person. ● Detection of plate, lot and batch effects across a dataset before it is delivered, and control charting of reference standards so drift shows up over weeks as well as within a run. ● The data visualisation that accompanies each delivered result, showing it with its uncertainty, QC and batch structure, so anyone can understand and check it without asking us. Who you are You have worked with messy experimental data and built things other people relied on. That might have been in a biotech or pharma team, an academic lab, a core facility, or a data-heavy field outside biology where you have since picked up the biology. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. You are happy to get your hands dirty on the data. Much of the job is careful, repeated work on real instrument output, and we want someone who takes pride in doing that well. You write code other people can run, and you care how a result reads to the person receiving it. Seniority is not what we are screening for. We are open to someone early in their career and to someone with many years behind them. What we look for is depth and judgement on experimental data. We do not hire people into boxes. This role will stretch past its description, sometimes into the lab and sometimes into conversations beyond the team. Early hires here are expected to pick up what is in front of them. Must have ● Building and running production data and ML pipelines, ideally on scientific or lab data, including data modelling, validation and reproducible, versioned workflows. ● Handling the specifics of biological data: plate layouts, sample and reagent lot lineage, and protein and DNA construct sequences with the standard tools for working with them. ● Biostatistics for experimental data, including experimental design, replicates and controls, curve fitting, and separating batch effects from biology. ● Statistical process control and anomaly detection, so assay drift and instrument variability are caught early. ● Data visualisation for people outside your team, presenting results with their uncertainty and QC so they can understand and check them themselves. ● Fluency in Python and its scientific stack, including pandas, NumPy and SciPy, and in working with coding agents. ● SQL and relational schema design for samples, plates and results. ● Turning scientists' questions into requirements, and writing down the assumptions behind them. Nice to have ● Hands-on analysis of instrument output from a lab, especially trace-based data such as SPR or HPLC. ● R for statistical modelling, such as dose-response fitting or mixed models for plate and batch effects. ● Containers and cloud infrastructure, such as Docker, Kubernetes and AWS. ● Working with data from LIMS, electronic lab notebooks or lab data standards. ● Current protein language models and structure prediction, such as ESM C, Boltz-2, Chai, OpenFold3 or AlphaFold 3. Why this is unusual Most assay data analysis happens far from the lab, on files someone exported weeks earlier, with little record of how the experiment ran. Here you sit next to the lab, the conditions of every run are recorded, and your analysis is delivered alongside the data. The work also changes under you. The lab starts with people running the instruments and becomes automated over time, and the analysis you first build by hand becomes the checks that run on every result. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based in London, at our lab and office in King's Cross. Time in person with the scientists matters for this work. The wider team is distributed and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report to the intelligence lead. You will also work closely with the founders and with the protein characterisation scientists whose data you will analyse. We are a small, elite team, weighted towards science and software. You will be the first person on the intelligence team whose focus is the analysis and ML infrastructure behind our results. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value, run from the same template for every candidate. A technical stage built on a real analysis problem from our lab, not a puzzle. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one. We then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role You'll build Refractal's data foundation, including the evidence store that customers' auditors rely on, the analytics behind compliance reporting and the datasets our models are trained on. What you'll do Design the data model for our append-only, cryptographically signed evidence store. Build the streaming and batch layer that turns ingested activity and detections into queryable data, working with our integrations engineers on schemas. Own data quality, retention, residency and deletion controls for regulated customers. Build training and evaluation datasets with our data scientists and security engineers. Make compliance reporting against the EU AI Act, NIST AI RMF and ISO/IEC 42001 quick to produce from our data. Success in your first six months The evidence store is in production, documented and trusted by customers' auditors. Colleagues answer compliance and detection questions from data you own, without ad hoc work. Training and evaluation data has clear provenance and separation. About you: essential 6+ years in data engineering, owning production pipelines. Strong Python and SQL, with Postgres plus a warehouse or analytics store such as BigQuery or ClickHouse. Experience with streaming (Kafka, Pub/Sub or similar) and orchestration (Airflow, Dagster or similar). Data modelling for audit trails, lineage and multi-tenant isolation. Security-minded handling of sensitive data. Nice to have Data work in banking, insurance or other regulated industries. Experience with UK GDPR and data residency. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. Compensation and benefits Salary: £80,000–£135,000 Competitive equity to share in Refractal's growth Pension contribution Private medical and dental cover Visa and relocation support Compensation: £80K – £135K • Offers Equity • £80K – £135K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Worum gehts? Bei Event Inc wollen wir Entscheidungen konsequent auf Basis von Daten treffen. Das gilt von der Go-to-Market-Strategie bis zur Conversion-Optimierung, in Marketing, Sales und Product. Mit Dir bündeln wir die Analysekompetenz an einer Stelle und schaffen eine gemeinsame Datenbasis, auf die sich alle verlassen können. Deine Rolle Als Data Analyst (Mensch) mit dem Schwerpunkt Go-to-Market & Insights bist Du die zentrale Anlaufstelle für Datenanalysen entlang unserer gesamten Wertschöpfungskette. Du bist Teil unseres Product Teams und arbeitest Hand in Hand mit unseren Data Engineers. Du begleitest Maßnahmen von der ersten Exploration über die Empfehlung bis zur Wirkungsmessung. Performance im Blick: Du überwachst laufend unsere GTM-Performance über Marketing, Sales und Product hinweg, von Funnel-Analysen über Kanal-Performance bis zu Conversion-Raten. Zahlen, die etwas bewegen: Du lieferst Ad-hoc-Analysen für unsere Teams, immer mit konkreten Handlungsempfehlungen statt reinen Reports. Von der Idee bis zur Wirkung: Gemeinsam mit den Teams entwickelst Du Hypothesen und übersetzt sie in Experimente und A/B-Tests. Mit Vorher-/Nachher-Vergleichen misst Du, ob Maßnahmen wirklich wirken. Muster erkennen: Du machst Cohort- und Funnel-Analysen über Kundensegmente und Marketplace-Bereiche hinweg (z. B. Pharma vs. Automotive). Mit Win/Loss-Analysen bei Enterprise-Deals lieferst Du wertvollen Input für unser Sales Enablement. Traffic-Kanäle optimieren: In enger Abstimmung mit Marketing, Sales und Product optimierst Du unsere Traffic-Kanäle, z. B. mit Blick auf SEO/GEO-Performance und Content-Wirkung. Reporting smart automatisieren: Zusammen mit einem Data Engineer baust Du eine KI- und automatisierungsgestützte Reporting-Infrastruktur auf. So fließt Deine Zeit in Analyse und Empfehlung statt in manuelle Datenaufbereitung. Schnittstelle mit Gewicht: Du bist die zentrale Datenquelle für GTM-Entscheidungen und arbeitest direkt mit unserem CPO zusammen. Was uns gefällt Fundierte Basis: Du hast ein Studium oder eine vergleichbare Ausbildung in Data Science, Statistik, (Wirtschafts-)Informatik, Mathematik, BWL oder einem ähnlichen Bereich erfolgreich abgeschlossen. Erfahrung, die zählt: Du bringst 2–5 Jahre Berufserfahrung in Data, Business oder Product Analytics mit. Mit Marketing-, Sales- oder Marketplace-Funnel-Metriken und Tracking kennst Du Dich aus. Analytisches Handwerkszeug: Du hast fundierte Kenntnisse in Datenanalyse und Statistik und weißt, wie man aussagekräftige KPIs entwickelt. Daten in Klartext: Du leitest aus Zahlen konkrete, verständliche Empfehlungen ab und vermittelst sie so, dass jedes Team etwas damit anfangen kann. Struktur, auch wenn's voll wird: Du arbeitest eigenständig und behältst den Überblick, auch wenn mehrere Teams gleichzeitig etwas von Dir brauchen. Tech-Neugier: Du verstehst Code und schreibst ihn auch selbst (z. B. Python). Idealerweise hast Du schon mit Coding Agents Analysen erstellt oder automatisierte, KI-gestützte Reportings aufgebaut. Das ist kein Muss, aber ein großes Plus. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find Jobs in Germany on Arbeitnow

About THG We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you'll go further, faster. What are you waiting for? Location: Icon 1, WA15 0AF About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be a Data Engineer (Customer) at THG? As a Data Engineer in the Customer domain, you will support the build and maintenance of the pipelines and data assets that power customer analytics at THG. This is one of two Data Engineer roles in the Customer domain — working closely with the Senior Data Engineer and your fellow Data Engineer to deliver a reliable, well-structured customer data layer that enables analytics across our Beauty and Nutrition businesses. What you'll do: Engineering Delivery Build and maintain data pipelines in the Customer domain under the direction of the Senior Data Engineer Write clean, well-documented SQL and Python code that meets the team's standards Support the monitoring and resolution of pipeline issues Contribute to data quality checks and validation in the Customer domain Learning & Development Develop your understanding of the Customer data domain — CRM, acquisition, identity and marketing data flows Learn and apply engineering best practices Take on increasing responsibility over time Collaboration Work closely with both Data Engineers and the Senior Data Engineer in the Customer team Support analytics teams with data requests and pipeline queries What skills and experience do I need for this role? Essential Some experience or strong foundational knowledge in data engineering — Python and SQL are essential Understanding of data pipeline concepts Curiosity and drive to develop as a data engineer Attention to detail and commitment to accurate, reliable work Ability to work collaboratively within a small team Desirable Experience with GCP, BigQuery or equivalent cloud data platform Exposure to customer or marketing data environments Familiarity with version control (Git) and orchestration tools What's in it for me? Career Development Access bespoke development programmes that have been designed and developed by our in-house L&D team. Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider. Enhanced Leave 25 days annual leave plus bank holidays. Don't want to work on your birthday? We don't either! Enjoy your day off on us! Enhanced maternity and paternity pay, depending on length of service. Up to 10 days compassionate leave. Buy back up to 3 days each year. Unlock 2 days volunteer leave after 12-months. Wellbeing Support Access face-to-face and virtual appointments with our in-house GP. Access to our subsidised on-site dentist Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa. State-of-the-art on-site gym. Access to our on-site physio. Other Perks Save up to 12% on the cost of personal tech through our salary sacrifice scheme. Subsidised bus pass from Manchester City Centre to our ICON office. Up to 50% staff discount on THG brands. On-site staff shop. Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation. Anniversary gifts when you hit 5 and 10 years of service. THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further. Find Jobs in United Kingdom on Arbeitnow

About THG We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition. Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition. From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG. With us, you'll go further, faster. What are you waiting for? Location: Icon 1, WA15 0AF About Central Functions Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded. Why be the Data Engineering Lead at THG? THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations. This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep — setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard. Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that — working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business. You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice. What you'll do: Technical Leadership & Architecture Own the data engineering architecture for THG — defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains Design consistent standards and patterns across all three domains — ensuring shared attributes are handled uniformly and that data can be reliably joined across domains Lead the evolution of our BigQuery/GCP platform — driving migrations, modernising legacy pipelines, and building for scalability Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces Develop and enforce engineering standards across the team — version control, testing frameworks, error handling, documentation and code review practices Domain Dataset Development Lead the build-out of structured, reliable domain datasets — moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms Work towards the foundations of a single source of truth — defining how data from different source systems is reconciled, deduplicated and mastered within each domain Ensure domain datasets are structured for downstream consumption — analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces AI-Enabled Engineering Champion the use of AI in data engineering — this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring Stay current with AI developments in the data engineering space and bring new approaches into the team's practice Ingenuity Relationship Work closely with the Ingenuity engineering team — understanding what they provide at the platform layer and building effectively on top of it Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains People & Team Manage, coach and develop a team of six domain-aligned engineers — three Senior Data Engineers and three Data Engineers Run a structured review and development process for each engineer, building their technical capability and career progression Foster a culture of engineering excellence, collaboration and continuous improvement What skills and experience do I need for this role? Essential Hands-on, expert-level experience with BigQuery and GCP — this is non-negotiable; you must have built and operated production data pipelines on this stack Strong Python skills — used daily for pipeline development, data transformation and automation Experience across at least two of the three core data domains: Customer, Commercial and Operations A track record of evolving data architecture — you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data Deep understanding of data modelling, pipeline design and distributed data architecture Experience with Dataform or dbt for data transformation Demonstrated use of AI in data engineering — AI-assisted pipeline development, automated quality checks, or similar practical applications Experience mentoring and developing engineers Desirable Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project Familiarity with data governance principles and working alongside a governance function E-commerce or retail background Experience with streaming or real-time data pipelines What's in it for me? Career Development Access bespoke development programmes that have been designed and developed by our in-house L&D team. Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider. Enhanced Leave 25 days annual leave plus bank holidays. Don't want to work on your birthday? We don't either! Enjoy your day off on us! Enhanced maternity and paternity pay, depending on length of service. Up to 10 days compassionate leave. Buy back up to 3 days each year. Unlock 2 days volunteer leave after 12-months. Wellbeing Support Access face-to-face and virtual appointments with our in-house GP. Access to our subsidised on-site dentist. Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa. State-of-the-art on-site gym. Access to our on-site physio. Other Perks Save up to 12% on the cost of personal tech through our salary sacrifice scheme. Subsidised bus pass from Manchester City Centre to our ICON office. Up to 50% staff discount on THG brands. On-site staff shop. Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation. Anniversary gifts when you hit 5 and 10 years of service. THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our Talent team to discuss further. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Legend At Legend, we're building next-level player experiences. With 20+ years of proven success we're the world's leading Sports and Gaming marketing company. Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn't a perk, it's the standard. You'll stretch, level-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you're ready to shape the future of player experience and enjoy the ride while you do it, this is where you'll thrive. The Role Legend is hiring a Senior Data Analyst, reporting directly into our Head of Data and Insights. This is a high-impact opportunity for a Senior Data Analyst who wants to do more than answer questions with data. You'll sit at the heart of our Sports business, partnering with teams across Product, Commercial, Marketing and SEO to uncover opportunities, challenge thinking and influence the decisions that drive performance. You'll be joining at an exciting point of transformation. With new products, evolving business models and a growing ambition for how we use data across Sports, you'll play a key role in shaping the next phase of our analytics capability and how data is used to drive decision-making across the business. From building smarter forecasting models and transforming how we measure performance, to exploring customer behaviour and laying the foundations for future personalisation, you'll own complex analytical challenges from problem through to recommendation. This is a hands-on senior role with real visibility, autonomy and the opportunity to make data a genuine driver of commercial and product strategy. In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed. Your Impact: Deliver end-to-end analytical projects that help shape commercial, product and marketing decisions across our Sports portfolio. Build advanced forecasting models that combine financial planning, historical performance, seasonality and sporting events to improve business forecasting. Redesign and enhance our Tableau dashboard suite, providing stakeholders with faster, more actionable performance insights. Improve the quality and accessibility of data by identifying gaps, optimising reporting and partnering with Data Engineering to strengthen data pipelines. Apply statistical analysis, behavioural analytics and experimentation to uncover opportunities that drive revenue, conversion and long-term business growth. Mentor team members while proactively identifying future analytical opportunities that help mature our Performance & Insights function. What You'll Bring: Expert-level SQL alongside strong Python (preferred) or R, Tableau and statistical analysis skills. Proven experience independently delivering end-to-end analytical projects from scoping through to implementation. Strong stakeholder management skills with the ability to translate business challenges into analytical solutions and communicate technical concepts to non-technical audiences. Commercial mindset with experience using data to influence business strategy and decision-making. Experience mentoring or supporting team members while driving high standards across analytical delivery. Experience within sports betting, iGaming or another digital business with strong web analytics exposure is highly desirable. The Interview Process: 1st: Initial Chat with Talent Partner (30 mins via Zoom) 2nd: Interview with our team, Hiring Manager and Senior People Partner (1 hour video via Zoom) 3rd: Take home task - you will be given a task to complete and return to us for assessment 4th: Final interview with our team, Hiring Manager and Sports Stakeholder (1 hour video via Zoom) Why Legend? Super smart colleagues to work alongside and learn from. Engaging development opportunities at all levels. Tailored flexibility for your work-life balance. Annual discretionary bonus to reward your efforts. Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance. Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner. Legend is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team ----- and we'll do all we can to support you. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Refractal Refractal is an AI security company building the infrastructure organisations need to defend against autonomous AI threats. 2026 has shown that generally capable intelligence is here. The challenge now is modernising security to stop AI-enabled threats, whether they come from internal agents going rogue or from attackers using AI to become more dangerous. Refractal was founded on cybersecurity and AI expertise from MIT, Microsoft, NASA and the U.S. Navy. Our product lets organisations detect AI-enabled threats at low cost without sacrificing detection quality. We take a practical approach to AI risk, combining proven cybersecurity methods with frontier AI security research. Today, we work with governments and organisations that can't afford to get security wrong. We're backed by leading deep-tech and cybersecurity investors and are growing the team to deliver on this mission. The role Own the core product platform from its external interfaces through the service and data layers. You will build the APIs and SDKs that connect Refractal to customer systems, along with the services, identity controls, and event contracts behind them. Work directly with the founders and early customers to turn operational security needs into simple, reliable platform interfaces and operator tools. What you'll work on Own stable, versioned platform APIs and SDKs, including client interfaces, compatibility rules, documentation, and examples. Build FastAPI services for enforcement decisions, evidence, policies, and red-team results. Design authentication, sessions, API keys, authorisation, and rigorous multi-tenant isolation. Build data and event interfaces, real-time streams, and a tamper-evident audit ledger. Create customer onboarding, policy integration, and operator dashboard workflows. Own testing and deployment across API compatibility, browser smoke tests, Cloud Run, and Cloud SQL. What we're looking for A product-minded platform engineer who makes complex systems clear and predictable and takes ownership from the data model to the customer integration. Strong backend experience with HTTP APIs; Python and FastAPI experience is preferred. Experience with observability, tracing, relational databases, and database migrations. Sound judgement around API design, versioning, SDKs, and compatibility. A strong understanding of authentication, authorisation, API keys, and multi-tenant access control. Good JavaScript and React skills for building operator-facing product surfaces. The ability to work independently and own technically uncertain customer problems. Our values Radical transparency. We believe the best work happens when everyone feels able to give and receive honest, constructive feedback. Public service. We see AI security as a form of public service. Getting the AI transition right means putting the right infrastructure in place to manage the threats that come with it, and our work helps protect the institutions and services society depends on. Fail fast. We test ideas early, seek feedback and learn quickly. We experiment rapidly and change course when something isn't working, without compromising on security. Pragmatism, not dogmatism. We choose approaches based on how well they solve the problem. That means combining established cybersecurity methods with frontier AI research, questioning our assumptions, and changing our minds when the evidence changes. What we offer Competitive salary, meaningful equity, and a performance-linked bonus. Direct influence over the product, architecture, engineering standards, and company direction. Real, high-consequence AI deployments rather than purely synthetic environments. London-based, in-person work, with UK Skilled Worker visa sponsorship and support for Global Talent applications. Compensation: £60K – £115K • Offers Equity • £60K – £115K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow