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About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's most exciting unicorns with a team of over 800 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house : we use new data sources, machine learning and AI to make machines do the heavy lifting About the role Our mobile app, Zable, is how most of our customers experience all of our products in one centralised space. It's written in React Native and TypeScript with a Kotlin backend, shipped to iOS and Android from a single codebase. We are now looking to level up the quality engineering so that we can raise release cadence without losing sleep over regressions. This is an automation-first role. You'll spend most of your time writing code - test frameworks, CI tooling, helpers, rather than executing test scripts by hand. You'll work alongside software engineers, product, and design, setting direction. You'll also be working at the frontier of AI-assisted quality, using LLMs and AI tooling to speed up test authoring, triage failures, and surface coverage gaps, while applying the engineering judgement to keep tests trustworthy. What you'll be doing Own the mobile test strategy: Define and evolve a pragmatic test pyramid for React Native - deciding where E2E is worth the weight and where logic belongs in faster layers (Jest, React Testing Library, component tests). Make deliberate calls about coverage, reliability, and speed trade-offs across the app. Set the bar for what "ready to ship" looks like on mobile, and hold the line on it. Build reliable E2E automation: Create and maintain mobile E2E suites in Maestro, including the scaffolding around them - test data, device configuration, helpers, reporting. Integrate suites into CI (GitHub Actions) so engineers get fast, trustworthy feedback on every PR and release candidates carry a signal people actually believe. Drive flakiness down and time-to-diagnosis down. We treat a flaky test the same way we treat a broken test, and we expect root-cause work rather than retry-until-green. Bring AI into the SDLC: Use AI tools day-to-day to accelerate test authoring, cluster failures, surface coverage insights, and propose fixes. Decide where AI adds leverage and where a human eye is needed. A suite that looks comprehensive but isn't trustworthy is worse than a smaller one we rely on. Help shape how the mobile team uses AI-assisted workflows more broadly - prompts, guardrails, review patterns. Prevent defects, not just catch them: Partner with product and engineering on shift-left quality: join specs early, push back on ambiguous acceptance criteria, and surface risk before code is written. Close the loop on production issues using our observability stack (Datadog, Sentry, Grafana) - tying test coverage back to real customer impact. Run targeted exploratory testing on high-risk releases when it's the right call. What we're looking for Essential: Hands-on experience with Maestro or Detox. 6+ years in quality engineering or test automation , with a track record of keeping automated suites stable rather than letting them rot into a graveyard of quarantined tests. Experience introducing AI-assisted testing practices (test generation, failure clustering, coverage analytics) with sensible controls around review and trust. Strong TypeScript and JavaScript - not just writing test scripts, but building helpers, tooling, and debugging into the app when needed. Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control. Comfortable with mobile E2E automation , or strong E2E experience on another platform plus a credible plan for getting productive on mobile quickly. Able to operate independently and drive improvements end-to-end (frameworks, CI, test data, reporting). Desirable: Hands-on experience testing React Native apps. Mobile performance and reliability work (crash reporting, startup time, memory and battery awareness). API and contract testing experience, with a point of view on test data and environment strategy. Our tech stack Mobile: TypeScript, React Native, Expo, EAS, GraphQL, Relay, Jest, React Testing Library, Maestro. Backend: Kotlin, PHP 8 (Symfony), AWS, Postgres, RabbitMQ, Docker, Kubernetes. Tooling and observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana. Interview process Quick call with a Recruiter 15 minute cognitive test Hiring manager interview (30 minutes) Technical interview (90 minutes) Culture-add interview (60 minutes) Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog ! 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Our Mission Human time and effort is the rarest thing in the universe. The fact that so many people hate what they do for work is a disaster on so many levels. How many people live quiet lives of misery? How many generational talents do we miss due to circumstance? Dex's mission is to close the gap between Talent & Opportunity, we believe that work, and being productive, is part of the human condition, that regardless of AI, human passion, ingenuity and a desire to do things means that work will always exist. We are building Dex to create a future where technology helps every individual to understand their strengths, interests and unique abilities, and to connect with opportunities where they can thrive, because more people doing things they love leads to a better, happier and more productive world. We are starting by connecting the world's most ambitious software engineers with the companies that deserve them. The role Paid acquisition is one of the biggest levers we have on growth, and it's about to get a lot bigger. We run Google Search, LinkedIn and Meta today, we're adding new formats and channels, and over the next year we'll be running paid across more markets and across both sides of Dex: the engineers who use it and the companies who hire through it. You'll own our paid channels day to day. You'll decide where the money goes, launch and test campaigns quickly, and judge every channel on the quality of the people it brings in, not on clicks or cheap signups. Creative comes from our in-house creative lead, writers and UGC creators; your job is to brief them well, test what they make and scale what works. This isn't a role where you sit in the ad accounts all week. Once the channels are running well, we want you to take on more: client-side acquisition, new channels, and building your own tools with AI to do the job faster. What you'll do Own Google Search, LinkedIn and Meta: structure, budgets, bidding, audiences and day-to-day optimisation. Launch new campaigns in days, not weeks. Run a steady programme of tests across audiences, formats and landing pages. Judge channels on what matters to Dex: good candidates and the ones who get put forward to clients. Work with our data to make sure conversion tracking and attribution are right, and push quality signals back into the platforms. Brief creative. Work with our creative lead, writers and UGC creators on what to make, tell them what's working and kill what isn't. Open up new channels as we grow, such as YouTube, Performance Max, retargeting and new markets. Help take paid into client acquisition: getting Dex in front of heads of talent, engineering leaders and founders. Manage our paid media agency and any contractors, and bring more of the work in-house over time. Report clearly on spend and results each week, and say plainly what you'd change. Who we're looking for Hands on in performance marketing, managing real budgets yourself across paid search and paid social. Meta and LinkedIn experience matters most. You've worked at a tech company, or you're ready for your first in-house role after a couple of years at a strong agency. You care about what happens after the click. You've optimised for downstream quality, not just cost per lead, and you know how to set up tracking that you trust. Comfortable with data. You can pull your own numbers, spot when something looks wrong, and explain what's going on without a dashboard doing it for you. You move fast and like owning things. You'd rather ship a test today than plan it for a week. You use AI tools daily, and you're happy building small tools, scripts or agents to do your job better. You don't need to be an engineer. Strong nice-to-haves You've run performance marketing for both consumer (B2C) and business (B2B) audiences, ideally at more than one tech company. You've worked closely with a creative studio or run UGC at volume, so you know what a good brief looks like. If you don't tick every box but this sounds like you, apply anyway. Why join now You'll own a channel mix that's growing fast, with the budget and freedom to try things. You'll work on a product people care about. Changing jobs is one of the biggest decisions engineers make, and we want them to trust us with it. You'll work closely with the founders and the Head of Growth, with a lot of room to grow your scope. Everyone here builds with AI. You'll have the tools and the time to work that way. What we offer Above-market salary Significant equity Private healthcare and dental Fertility benefits and enhanced parental support Gym membership and wellness benefits Claude tokens Regular socials, offsites and an annual team trip MacBook Pro and team equipment A "whatever you need" approach to tools and support The process Talent screen with Becca, Head of Talent (30 min) Hiring manager interview with Rob, Head of Growth (45 min) Practical task: a short paid acquisition audit and plan, done at home In person: task review with Rob and the growth team (60 min), culture and values (45 min), final interview with Paddy, CEO and founder (30 min) Find more English Speaking Jobs in United Kingdom on Arbeitnow

Wordsmith Wordsmith is building the legal operations platform for in-house teams, and we are growing fast. We believe in-house legal is becoming one of the most important functions in the AI era. Every business is moving faster, but legal work is still too often scattered across inboxes, chats, documents, and disconnected systems. Wordsmith brings that work into one system. Requests come in from across the business, AI agents handle the routine, lawyers stay in control where judgment matters, and every step is captured as work happens. We are built for in-house legal, not law firms. Our goal is to help legal teams move faster, reduce unnecessary external counsel spend, and become a function the business can run with. The Role Our product is only as good as the people who build it. You'll own R&D hiring from intake to signed offer: Product Engineers, Applied AI and LLM Engineers, Data Scientists, Product Managers and Designers. You'll partner with engineering and product leaders to define what great looks like at each level, run technical processes that candidates respect, and close people who have offers from AI labs and big tech. This is not a coordination role. What You'll Do Deliver bar-raising R&D hires each quarter Own a robust, fair and fast recruiting process that is optimized to hire the best talent vs the best interviewers Source engineers directly: GitHub, research communities, alumni networks and competitor teams, with AI-personalised outreach Run technical loops that move fast: tight take-homes, calibrated interviewers, debriefs within 24 hours Own the candidate from first message to first day, and close against higher cash with equity, scope and the problem Report on your funnel every week and fix what the data shows What We're Looking For Essential 5+ years of full-cycle recruiting, with at least 3 hiring software engineers at product-led tech companies Comfortable discussing stacks, levels and system design with engineers, and spotting weak signal A track record you can put numbers on: hires per quarter, offer acceptance, how your hires performed Most of your recent hires sourced by you, not from inbound Fluency with Ashby or a similar ATS, and real use of AI in your own workflow Valued Hired AI, ML or LLM engineers Hired product managers and designers alongside engineering Relocated engineers into the UK, including visa sponsorship Find Jobs in United Kingdom on Arbeitnow

Company Overview At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role We're looking for a Senior Product Manager to own how our device software behaves. You'll take the product vision and turn it into features our software team can build with confidence. This is product work at the level of detail. You'll think through how features should behave in every situation, including the edge cases, and give the team clear answers. You'll also make sure that work gets delivered. That means keeping the backlog in shape, setting priorities and following features through to release. You'll start on future releases of CoMind One, our first product, and help shape CoVision as it moves towards delivery. As the team and product line grow, so does the role. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day. Responsibilities: Define how features work, step by step, including the edge cases and failure modes that matter in a clinical setting. Package features for build: what it does, why it matters, what it looks like, and the decision logic behind it. Prototype flows and interactions using AI tools, so the team sees the idea before they build it. Sit with the software team and make the call when a feature question comes up. Act as the link between our commercial team and the software team, turning customer and market needs into clear requirements. Use quick prototypes to test those needs with customers and the commercial team before they reach the backlog. Shape the product roadmap with the Product Lead. Own the software backlog in Jira: intake, triage and grooming, so it reflects real priority. Write acceptance criteria and check that what ships matches what was intended. Partner with the Project Manager, who runs sprints, so sequencing and timing reflect real priority rather than convenience. Keep decisions and documentation in Confluence, not lost in Slack. AI is fundamental to our culture — it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: Demonstrable product management experience on software that runs on physical hardware. You understand the pace of regulated hardware: long development cycles and infrequent releases. Evidence of making product decisions from logic and a deep understanding of users. Writing requirements precise enough for engineers to build without repeated back-and-forth. You're comfortable debating a feature with engineers and explaining why it matters for the product. A natural translator: equally comfortable in a conversation with a non-technical stakeholder describing a problem and in a ticket-grooming session with engineers debating implementation trade-offs. You use AI tools heavily in your day-to-day work. Hands-on experience building interactive prototypes, using AI tools to turn an idea into something clickable that users and engineers can react to. Nice to have: Medical device experience, or exposure to ISO 13485 or IEC 62304. Software engineering or technical background. Experience with embedded or real-time software. Benefits: Company equity plan so all employees share in the success of the company Salary-sacrifice pension scheme Private medical, dental and vision insurance (medical history disregarded) Group life insurance at 4x annual income Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores Disclaimer - We use Granola, an AI notetaker, throughout our interview process to help capture notes. It's used only for note-taking during the conversation. Transcripts aren't saved to shared drives or stored externally. Let us know if you'd prefer we don't. Compensation: £80K – £110K • Offers Equity • Salary £80K – £110K • Offers Equity Find more English Speaking Jobs in United Kingdom on Arbeitnow

Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors. We are looking for a Senior Software Engineer to join our Data Security & AI Engineering team. In this role, you will bring strong systems engineering skills—ideally with hands-on Chromium experience across core layers—to build, expand, and harden the runtime capabilities that power Menlo's next-generation AI security platform. You will work at the intersection of browser engine internals, systems architecture, and AI security, expanding our detection surfaces to safeguard enterprise workforces and AI agents against modern threats like Prompt Injection (PI) and Shadow AI usage. The role blends deep C++ browser engineering with work on Model Context Protocol (MCP) servers, Chrome DevTools Protocol (CDP), and the cloud infrastructure supporting them. You'll collaborate closely with engineers across Chromium, AI, and security disciplines to ship high-performance, evasion-resistant protections, leveraging AI-assisted development tools to move fast while maintaining an uncompromising bar for quality and security. Responsibilities Design, build, and maintain Chromium-based browser components in C++, working across layers such as content, browser, core, compositor, skia, and networking, that power Menlo's security and AI-driven capabilities. Architect and embed controls for detecting Prompt Injection (PI) and managing Shadow AI activity directly within browser execution and agent workflows. Apply strong networking fundamentals and HTTP security expertise to harden Menlo's browser isolation, proxy/gateway intercepts, and network-facing infrastructure. Partner with the MARS and AI teams to build and integrate AI agent capabilities and MCP (Model Context Protocol) servers into Menlo's security platform. Use Python or Rust to build supporting tooling, detection microservices, and prototypes alongside core C++ systems work. Deploy and operate the cloud infrastructure (AWS, GCP) and orchestration (Kubernetes, Terraform) needed to run agent/MCP and threat-detection workloads reliably. Debug and optimize performance-critical, high-scale systems across the browser and supporting backend infrastructure. Collaborate cross-functionally with product, security, and AI engineering teams to ship capabilities end-to-end. Apply AI-assisted coding tools to accelerate development, testing, and code review as part of your daily workflow. Requirements: 5+ years of experience in software engineering with strong C++ systems programming skills. Strong networking fundamentals, including solid knowledge of HTTP security, web protocols and / or client-side security architecture. Bachelor's degree or higher in Computer Science or a related field (or equivalent practical experience). Preferred / Nice to Have: Experience across Chromium layers such as content, browser, core, compositor, skia, and networking (or equivalent large-scale, high-performance C++ systems experience). Experience or strong interest in AI/LLM security / guardrails domains (e.g., Prompt Injection defense, Shadow AI detection, intent classification, context aware DLP/PII detection, and agentic workflows). Python or Rust experience. Experience building or integrating AI agents, Chrome DevTools Protocol (CDP), and MCP (Model Context Protocol) servers. Experience with AWS, GCP, Terraform, Kubernetes, and Linux. Follow us on LinkedIn ! Why Menlo? At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership , Straight Talk , United Impact , Elevated Talent , and Customer-Compelled . We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability . TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security's policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid. Find Jobs in United Kingdom on Arbeitnow

Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors. We are seeking an AI Systems Infrastructure Engineer (IC4) to lead the platform and backend architecture powering our real-time security detection services. In this role, you will build and scale low-latency serving infrastructure for Small Language Models (SLM), Prompt Injection (PI) engines, and Content / Intent Classification platforms running across GPU and cloud clusters. We are looking for a strong systems engineer who understands production backend services, microservices, container management, and high-throughput inference optimization. While you will work closely with ML researchers, your primary focus will be engineering robust backend services, GPU replica scaling, guardrails, and automated evaluation infrastructure. Outcomes & KPIs Key Outcome(s) Owned: Sub-hundred-millisecond SLM and detection service execution speeds across high-volume tenant workloads. Highly resilient, auto-scaling GPU inference cluster infrastructure with automated CI/CD and regression gating. Success Metrics / KPIs : P95 and P99 detection latency for prompt injection (PI) and classification services. GPU pod readiness time and cluster auto-scaling efficiency under burst traffic. Service availability and rate-limiting guardrail enforcement per tenant. Automated MLOps/LLMops pipeline throughput and deployment turnaround time. What You'll Do Architect, build, and optimize production serving pipelines for Small Language Models (SLMs) and traditional ML models using model quantization, batching, and GPU acceleration. Own and scale backend microservices (e.g., sds-service-prompt-injection, sds-service-ddr) delivering real-time threat detection. Build consumption-based monitoring, tenant rate-limiting, and runtime guardrail infrastructure. Manage and optimize GPU cluster replicas (Kubernetes / Pod infrastructure) to minimize cold-start times and manage infrastructure costs. Build continuous evaluation, automated retraining pipelines, model CI/CD, and automated regression gates to test model detection quality against live benchmarks. Refactor legacy service boundaries, service-to-service auth flows, and backend database configurations. Requirements: 5+ years of software engineering experience building distributed backend systems or high-throughput microservices. Proven track record in model serving and inference optimization (e.g., TensorRT, vLLM, ONNX Runtime, Triton Inference Server). Strong programming experience in Python, Go, or C++. Hands-on expertise with Kubernetes, container orchestration, GPU scheduling, and infrastructure auto-scaling. Solid understanding of CI/CD pipelines, MLOps/LLMops principles, and cloud infrastructure (AWS/GCP). Preferred / Nice to Have : Experience building consumption-based rate limiting or multi-tenant guardrail architectures. Familiarity with database refactoring, auth protocols, and backend technical debt remediation. Background in cybersecurity, threat detection engines, or DLP/PII filtering platforms. Experience benchmarking runtime vs. accuracy trade-offs between local SLMs and cloud LLMs (e.g., Vertex AI). Experience with AWS, GCP, Terraform, Kubernetes, and Linux. Follow us on LinkedIn ! Why Menlo? At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership , Straight Talk , United Impact , Elevated Talent , and Customer-Compelled . We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability . TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security's policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Menlo Security is the leader in Browser Security for human and agentic workforces. Our mission is to enable humans and agents to connect, communicate, and collaborate securely, without compromise. The Menlo Browser Security Platform protects organizations from cyberattacks by stopping threats across the web, documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is trusted by major global businesses, including Fortune 500 companies and government agencies, to protect their most valuable asset, their data, and is backed by top-tier investors. We are looking for a Data & AI / ML Evaluation Engineer to own the data collection, mining, curation and continuous evaluation foundation for our various AI security products. High-quality models require high-quality datasets and ongoing enrichment and retraining. In this role, you will build automated data ingestion pipelines from surrogate web traffic and open sources, manage dataset curation, labeling workflows, model training and operate our benchmark and evaluation harnesses. This is a data and AI / ML software engineering role focused on building the data infrastructure that trains our proprietary Prompt Injection SLMs, Shadow-AI detection models, Malicious Macro classifiers, PII, Content Classification engines and more. Outcomes & KPIs Key Outcome(s) Owned: Automated, continuous generation and curation of training, evaluation, and false-positive (FP) datasets across web, file, and macro threat surfaces. Standardized, reproducible evaluation benchmarks that guide model improvements before deployment. Automated data pipeline uptime and ingestion throughput from web/file sources. Size, diversity, and labeling accuracy of threat dataset repositories (PI, Shadow-AI, PII, Macros). Mean time to ingest live false-positive/false-negative feedback into training evaluation loops. Accuracy and benchmark coverage across historical vs. newly trained SLMs. What You'll Do Design and operate automated data collection, mining, and web-scraping pipelines to gather threat samples from surrogate traffic and web sources. Build data processing, annotation, and dataset curation workflows, training and re-training various models, e.g. Prompt Injection (PI) SLMs, Shadow-AI detection models, Malicious Macro classifiers, and PII detection. Build mechanisms to capture false-positive (FP) samples from live user/DDR flows and represent / integrate them into model retraining pipelines. Develop automated benchmarking and evaluation harnesses to continuously test model detection quality, runtime performance, and accuracy against baseline models (e.g., Vertex AI). Build automated pipelines for model training for various models. Work closely with research and software engineering teams to turn raw detection telemetry into ongoing actionable model improvements. Required: 2–4 years of experience in software engineering, data engineering, or automated QA/evaluation roles. Strong programming proficiency in Python. Adv: C++, SQL. Experience in model training and various ML, AI algorithms. Experience building data pipelines, web scrapers, or automated data processing systems. Familiarity with data structures, storage formats, and database configurations. Methodical approach to dataset labeling, validation, bug logging, and metric tracking. Preferred / Nice to Have: Hands-on experience with ML evaluation frameworks, dataset curation, or annotation tools. Familiarity with text extraction, NLP preprocessing, or document parsing techniques. Understanding of cybersecurity concepts (Prompt Injection, Malicious Macros, DLP/PII). Basic experience with cloud storage, object stores, and basic containerization (Docker). Experience with AWS, GCP, Terraform, Kubernetes, and Linux. Follow us on LinkedIn ! Why Menlo? At Menlo, we don't settle for the status quo — in our technology or our culture. How we think and act is just as important as what we build. Our culture is defined by five core mindsets: Proactive Leadership , Straight Talk , United Impact , Elevated Talent , and Customer-Compelled . We take ownership and drive outcomes without waiting to be told. We communicate directly and seek hard truths. We break down silos and win together. We hold a high bar for ourselves and the people around us. And we treat every customer interaction as mission-critical. If you're someone who sees it, owns it, solves it, and does it — you'll thrive here. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability . TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security's policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world's best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We've scaled to $200M+ in ARR , with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you're driven by impact, pace, and raising the bar. This is the place. The role As a Senior Software Engineer at Legora you will build, review and ship amazing products helping legal professionals all over the world in their day-to-day job. You'll get the chance to work across the entire tech stack with clear ownership and autonomy. What you will be doing: Architect and implement features end-to-end for our web platform Take ownership of our codebase, balancing high-quality code, security and speed of development Work with technologies such as TypeScript, React, Node.js, AWS, Azure and Kubernetes Review code and mentor junior colleagues to support them in their development, making the team even better! Drive continuous improvement and challenge us, the industry and yourself Who you are A passionate engineer with several years of experience building great products using cutting-edge technologies You feel comfortable working across the entire tech stack, with focus on either frontend or backend development You're autonomous and take pride in the code you write You have strong engineering judgment and taste, and can quickly understand unfamiliar codebases and control flows You're a problem solver who values simple, pragmatic architecture and can explain your trade-offs clearly Experience in infrastructure and integrations is a big plus Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We're proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don't discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law. Find Jobs in United Kingdom on Arbeitnow

About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world's best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 2,100+ customers across 80+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We've scaled to $200M+ in ARR , with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI, Graceview, Cadastral, and Wexler. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you're driven by impact, pace, and raising the bar. This is the place. The role As an Engineering Manager at Legora, you'll lead by example—hands-on in the code while guiding a talented team of engineers. You'll architect and deliver features that make legal professionals' lives easier, drive technical excellence, and help shape a product used by forward-thinking law firms around the world. This is a role for someone who loves to build, mentor, and scale both people and systems. What you will be doing: Design and implement end-to-end features across our fullstack platform Contribute directly to the codebase while supporting the growth of your team Lead architecture discussions and technical decision-making Ensure high standards in code quality, security, and performance Collaborate closely with Product and Design to ship value quickly and reliably Review code, give feedback, and mentor engineers at all levels Champion best practices in development, DevOps, and continuous improvement Work with Node.js, React, Azure, AWS and Kubernetes Work every day to ensure your team is healthy and efficient Who you are A seasoned fullstack or backend engineer with 1-3 years of leadership experience Comfortable being hands-on while also setting technical direction Skilled in building scalable products and owning complex systems end-to-end Strong communicator who leads with empathy and clarity Passionate about mentoring others and helping teams grow Confident working across backend, frontend, and infrastructure Curious, pragmatic, and always looking for smarter ways to build and deliver But most importantly, you are someone who: "Gets stuff done" and understands building a successful company isn't always glamorous and takes hard work and long hours Proactively and independently solves the most burning problems Thrives in a fast-paced environment where the answers aren't always clear and processes are few Candidates will go through the same interview process as software engineering candidates (including a coding task and a technical interview), with additional interview steps at the end designed for the engineering manager role. This is a London Based, 5-day in-office role, we believe building together in person drives better outcomes. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We're proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don't discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law. Find Jobs in United Kingdom on Arbeitnow

Softwareentwickler C++/Qt (m/w/d) – Vollzeit | München Im Auftrag unseres Partnerunternehmens in München suchen wir Sie zum nächstmöglichen Zeitpunkt als "Softwareentwickler C++/Qt (m/w/d)". Aufgaben Sie entwickeln und konfigurieren Simulationsnetzwerke sowie Hard- und Softwarekomponenten für Simulations- und Ausbildungssysteme Als Softwareentwickler programmieren und erweitern Sie Simulationssoftware in C++ und Qt unter Linux und Windows Darüber hinaus integrieren Sie Netzwerk- und Hardwareschnittstellen, führen Inbetriebnahmen durch und begleiten Tests im Haus sowie beim Kunden Sie analysieren Anforderungen, stimmen technische Lösungen mit den Systemingenieuren ab und erstellen Architektur- sowie Designdokumentationen Zusätzlich entwickeln Sie Unit- und Subsystemtests weiter und optimieren die Stabilität und Leistungsfähigkeit der Simulationssoftware Qualifikation Grundlage bildet ein abgeschlossenes Studium der Informatik, Softwaretechnik oder eine Ausbildung als Fachinformatiker Anwendungsentwicklung (m/w/d) beziehungsweise eine vergleichbare Qualifikation Idealerweise bringen Sie Berufserfahrung als Softwareentwickler (m/w/d), C++-Entwickler (m/w/d), Software Engineer (m/w/d) oder Anwendungsentwickler (m/w/d) mit Sie verfügen über fundierte Kenntnisse in der Entwicklung mit C++, Qt und STL sowie Erfahrung mit Linux, Windows und verteilten Softwaresystemen Zusätzlich sind Kenntnisse in Netzwerkprotokollen (IPv4, IPv6, TCP, UDP), PostgreSQL, Protobuf sowie idealerweise Cisco-Switches von Vorteil Wichtig sind eine strukturierte und selbstständige Arbeitsweise, Teamfähigkeit sowie verhandlungssicher Deutschkenntnisse Benefits Work-Life-Balance : Freuen Sie sich auf flexible Arbeitszeiten im Gleitzeitmodell Sicherheit : Kaum ein Arbeitgeber bietet eine derartige Sicherheit Entwicklung : Firmenintern gibt es zahlreiche Weiterbildungs- und Entwicklungsmöglichkeiten Onboarding : Sie erwartet eine professionelle Einarbeitung von den Experten der Abteilung Teamspirit : Sie können sich auf flache Hierarchien, eine Du-Kultur und eine offene Unternehmenskultur freuen Sie finden das Stellenprofil interessant? Dann freuen wir uns auf Ihre Bewerbung. Für Rückfragen steht Kaan Akdemir gerne unter 089 954 287 109 zur Verfügung. Find Jobs in Germany on Arbeitnow

Softwaretester (m/w/d) – Vollzeit | München Im Auftrag unseres Partnerunternehmens in München suchen wir Sie zum nächstmöglichen Zeitpunkt als "Softwaretester (m/w/d)". Aufgaben Als Software Test Engineer (m/w/d) planen, entwickeln und führen Sie eigenständig manuelle und automatisierte Softwaretests durch Zudem analysieren Sie Anforderungen und erstellen strukturierte Testfälle, Testkonzepte und Regressionstests Darüber hinaus entwickeln und pflegen Sie automatisierte Tests und integrieren diese in bestehende CI/CD-Pipelines Zusätzlich analysieren, dokumentieren und verfolgen Sie Softwarefehler und führen entsprechende Nachtests durch Dabei betreuen Sie Testumgebungen und Testtools und arbeiten eng mit der Softwareentwicklung an der kontinuierlichen Qualitätsverbesserung Qualifikation Sie verfügen über ein abgeschlossenes Studium, beispielsweise in Informatik, Software Engineering oder Technischer Informatik Sie bringen mehrjährige Berufserfahrung als Softwaretester (m/w/d), Software Test Engineer (m/w/d) oder Testautomatisierungsingenieur (m/w/d) mit Sie besitzen fundierte Kenntnisse im Testen von Software und verteilten Systemen sowie in der Testautomatisierung Zusätzlich beherrschen Sie eine Programmiersprache wie Java, C++ oder Python und verfügen über sehr gute Deutsch- und Englischkenntnisse Wichtig sind Teamfähigkeit, Kommunikationsstärke, eine selbstständige Arbeitsweise und Reisebereitschaft Benefits Work-Life-Balance : Freuen Sie sich auf flexible Arbeitszeiten im Gleitzeitmodell Sicherheit : Langfristige Jobmöglichkeit bei einem krisensicheren Arbeitgeber Entwicklung : Firmenintern gibt es zahlreiche Weiterbildungs- und Entwicklungsmöglichkeiten Teamspirit : Sie können sich auf flache Hierarchien, eine Du-Kultur und eine offene Unternehmenskultur freuen Sie finden das Stellenprofil interessant? Dann freuen wir uns auf Ihre Bewerbung. Für Rückfragen steht Simon Schneider gerne unter 089 954 287 111 zur Verfügung. Find more English Speaking Jobs in Germany on Arbeitnow

1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow . Your mission Full-Stack Development (Edge to Cloud): You develop the core components for our energy management system Heartbeat AI Enterprise – both locally on our IoT gateways (Edge) and scalably in our cloud-native backend architecture Gateway Programming (Go & Lua): You write high-performance code for our edge controllers. With Golang, you build robust system services and communication layers; with Lua, you create lightweight, dynamically adaptable control scripts and protocol drivers for inverters, BESS, and HVAC systems Cloud Services & Microservices: You design and program scalable microservices in Go within the cloud backend to process time-series data, telemetry, and manage fleet operations across hundreds of customer sites Interfaces & Protocols: You implement communication protocols for the IoT ecosystem (MQTT, REST/gRPC) as well as for local equipment communication (Modbus TCP/RTU) VPP & Trading Integration: You enable seamless data flow between local systems (meter readings, flexibilities) and our Virtual Power Plant for automated control based on spot market prices Agile Collaboration: You work closely in a cross-functional team with system architects, PLC developers, and product management to swiftly bring new commercial energy management features to the platform Your profile A degree in Computer Science, Software Engineering, or a comparable qualification, or sound professional experience in professional software development Strong programming skills in Golang (Go) (ideally in a cloud and microservices context) as well as practical experience in the Lua scripting language (e.g., for embedded / edge applications) Solid understanding of cloud technologies (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines Experience in developing IoT solutions or edge computing applications, preferably on Linux-based systems (e.g., Raspberry Pi, industrial PCs) Confident handling of common network and IoT protocols (such as MQTT, REST) and ideally experience with industrial communication (Modbus) A structured, solution-oriented mindset and the motivation to actively contribute to building Europe's largest decentralized Virtual Power Plant Business-fluent German and English skills, both written and spoken Benefits You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen With your work, you accelerate the "energy transition" and hence have a direct impact on our climate Work with and learn from other super-smart colleagues You will enjoy direct contact with core decision-makers You will enjoy the best chances of entering full-time in one of Europe's most thriving scaleups You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass Benefits and discounts are yours with Futurebens Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time Find Jobs in Germany on Arbeitnow