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We are AI builders Since 2018, Enjins has done one thing: ship AI that works in production. From Utrecht and Berlin, we build machine learning systems, data infrastructure, and agentic AI layers for European tech companies, with a deliberate focus on climate and energy, where we believe the biggest technological shift of our generation should meet its most critical challenge. We embed directly with the engineering teams of high-growth scale-ups like Crisp, PlanBlue, NextSense, and Groendus. We take ownership of the full technical lifecycle: from first architecture decision to a production-grade system running inside our partner's infrastructure, long after go-live. The role As Lead AI Engineer, you are the technical owner of client engagements. You architect the solution, ship it to production, and make sure it still performs a year later. Alongside the other Leads, you shape the engineering team and the way we build. In practice: Design AI roadmaps with client leadership and own them through to production Create and implement the AI solution architectures to deliver on those roadmaps Set and uphold Data Platform and MLOps standards across your client portfolio, so systems stay healthy after handover Mentor engineers and weigh in on hiring, team growth, and accounts Push our engineering practice forward, including how we use agentic coding workflows to build faster without compromising reliability. We test, document, and share what works, so the whole team levels up Elevate our product mindset to ensure we build the right things, not just more things Why a Lead role here, not somewhere else You'll work across more stacks, clouds, and frontier frameworks in a year than most engineers see in five, with the collective knowledge of the whole team behind you, not the isolation of freelance work. And because our clients build grid software, energy forecasting, and climate infrastructure, you develop real domain expertise in energy and climate systems on top of production-grade AI engineering. In your first months you'll join a client project alongside an experienced Enjins engineer, supported by a dedicated coach. Within half a year, you own the technical roadmap of at least one engagement, mentor engineers, and have a recognised voice in our Asset strategy. Requirements What matters most: you think in systems, own outcomes end-to-end, and grow the people around you. 5+ years building and scaling data & AI solutions in production environments Strong software engineering fundamentals: you write production-grade code and know your way around infrastructure (Docker, Kubernetes, CI/CD, data pipelines) Mastery of at least one major cloud platform (AWS, Azure, GCP) and experience leading MLOps/LLMOps architectures Proven experience taking LLM-based or agentic systems to production Experience mentoring engineers, overseeing delivery, and managing client accounts You can translate technical complexity into clear decisions for non-technical stakeholders Fluent in English and eligible to work in the Netherlands Benefits We publish our salary ranges and keep terms straightforward. No surprises. Compensation €5,950 - €7,800 gross per month (excl. holiday allowance, pension, bonus, equity, and AI-Leap benefits) Annual performance bonus of 1.5 months' salary Equity participation (VSOP) Growth AI-Leap: our structured development programme with a dedicated certification budget and a specialised track for Leads 1-on-1 mentoring with our founders and external coaching to close your specific gaps Team & culture Office on the Oudegracht in Utrecht (note: not yet fully accessible for individuals with physical disabilities); hybrid setup 28 vacation days, flexible across 3 national holidays Monthly team events and the annual two-day Enjins Summer Summit on AI × Climate OV-First travel policy, fully covered; meat-free catering Apple MacBook Pro and the tools you need Find more English Speaking Jobs in Netherlands on Arbeitnow

We are looking for a senior Java engineer with a strong performance engineering background to join a global financial technology platform team in Zurich. What you will be doing You will work within a cross-functional Scrum team on a high-throughput, enterprise-grade platform serving the global Securities Finance and Collateral market. Your focus will be on identifying and eliminating performance bottlenecks, rearchitecting critical components for scalability, and driving the platform's technical evolution alongside senior architects. What we are looking for 5+ years of hands-on Java enterprise development (Java SE/JEE, Spring, JPA/Hibernate) Real performance engineering experience acquired through development work: profiling, GC tuning, load testing, bottleneck analysis Strong SQL skills (Oracle, PostgreSQL, or SQL Server) Background in financial services or high-throughput enterprise systems Solid understanding of software design and enterprise architectural patterns Experience working in Agile, distributed team environments Strong communication skills in English Good to have Experience with Kubernetes/OpenShift CI/CD and DevOps practices Apache Camel or similar integration frameworks Find more English Speaking Jobs in Switzerland on Arbeitnow

Introduction As Head of Software Engineering (f/m/d) at orderbird, you will take overall responsibility for the organization, resource planning, and leadership of our engineering department. You will play a key role in shaping technical directions and building a scalable, high-performing engineering culture that sustainably supports our business and product goals. What you can look forward to Deutschlandticket, Egym Wellpass, JobRad, and a company pension scheme with a 100% employer contribution match from orderbird Hybrid work model – flexible working split between the office and working from home Access to nilo Health – 1:1 coaching sessions for your mental health and that of your loved ones Fast and clear decision-making processes alongside close collaboration across all departments An Apple hardware package Startup mentality combined with security, backed by a publicly listed parent company We celebrate our successes together! Whether at the summer party, a BBQ evening on our rooftop terrace, or just because A nest in Berlin: a rooftop terrace overlooking Berlin-Kreuzberg and our office dogs, who are already looking forward to meeting you Company Update every Wednesday: During our Breakfast Update, various teams take turns sharing updates on their projects. Every week, you'll stay in the loop on facts, figures, and meet new "birds" including fun facts An international team and no dress code – everyone is warmly welcome! Among other tasks you will be working on Strategic Leadership & Organization: You will lead our entire engineering team Translate business strategy into actionable engineering roadmaps Lead Engineering Managers, Staff Engineers, and Technical Product Managers, overseeing their performance and development while supporting the recruiting process for new team members Collaborate closely with the CEO, Product, Go-To-Market, and other key stakeholders on strategic planning, prioritization, and company-wide decision-making Manage the engineering budget, workforce planning, and external vendor/outsourcing strategy – aligning costs, capacity, and business value What you bring along for this role 5+ years of proven experience leading a larger and technically diverse engineering organization – ideally in a fintech environment or SaaS company, with a track record of actively developing internal talent into senior and leadership roles Strong background in infrastructure design and implementation, combined with end-to-end system architecture experience across production environments, ensuring systems are scalable, resilient, performant, and able to serve customers efficiently at scale. Technical understanding of modern software architectures and software development processes Ability to explain complex technical concepts clearly and comprehensively to non-technical stakeholders Tech & AI affinity: Keen interest in modern engineering tools, automation, and AI-supported workflows Keeping up with technology trends in SaaS and Payments areas Business-fluent English skills, both spoken and written Technology experience across several of the following areas: Mobile: iOS and Android, including Objective-C, Swift, and Kotlin Multiplatform Backend & Web: Python, Java, Django, React, PostgreSQL, and Redis Cloud & Infrastructure: AWS, Docker, Kubernetes, and CI/CD pipelines Observability: Sentry, Datadog, or comparable monitoring and observability platforms Payments: Payment terminal integrations and payment processing ecosystems Fiscalization: Experience with fiscalization and compliance requirements or regulated POS environments is a plus Find more English Speaking Jobs in Germany on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Prior professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find more English Speaking Jobs in United Kingdom on Arbeitnow

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality Partner with core engineering teams to generalize client-specific work into product features Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) Monitor and maintain production AI systems with attention to reliability, cost, and performance Who You Are Extensive professional software engineering experience Professional experience with Python (the team's primary language) Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs Comfort with SQL for data exploration and building data-grounded AI workflows Experience with AI-assisted development tools (Claude Code, Codex, or similar) You've built something from zero to one. You're drawn to figuring out what to build, not just building what's specified. A bias for action. You ship quickly, learn from feedback, and iterate. You see projects through from prototype to production and care about what the client experiences, not what the code does BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience Nice to Have Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) Experience with additional backend languages (Java is valuable in our environment) Familiarity with financial data (portfolios, transactions, securities, accounting) Exposure to cloud infrastructure (AWS) and container-based deployments Experience with evaluation frameworks or methodologies for measuring AI system quality Our Values Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. Build Together - Collaborate to unlock the best solutions. Deliver lasting value. Champion Our Clients - Exceed client expectations. Our clients' success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to <a ---------- Find Jobs in United Kingdom on Arbeitnow

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. What you'll do Build safety systems: Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs' products. Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks. Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation. Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale. Build end-to-end solutions: Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement. Collaborate across teams: Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions. Product: Understand and navigate the tradeoffs between product growth, user experience, and platform safety. Legal: Translate legal and regulatory requirements into practical, scalable safety systems. Safety Policy: Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints. Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow. Requirements 5+ years of software engineering experience building and operating production systems. Strong backend engineering experience, including designing APIs, working with databases, and building scalable services. Proficiency in Python and experience with modern backend frameworks. Experience building and maintaining distributed systems and cloud-based applications. Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance. Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed. Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions. Ability to collaborate effectively with engineers and non-technical stakeholders across different functions. Bonus Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems. Experience building guardrails or safety infrastructure for AI agents and LLM-based applications. Experience deploying and integrating ML models into production applications. Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP). Experience with monitoring and observability tools such as Prometheus and Grafana. Experience with React or other modern frontend frameworks. Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Find Jobs in United Kingdom on Arbeitnow

🚀 Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we're only just getting started. We're a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you're driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad's bookie. 👀 The Role Title: Senior Backend Engineer Team: Engineering Location: UK, Remote Salary: £90,000 - £110,000 per annum We're looking for skilled Senior Backend Engineers to join our engineering team. We have multiple opportunities available across a range of different areas. In this role, you'll build and maintain the backend systems that power our product experience, develop APIs that support our mobile and web applications, and deliver robust, maintainable code, all within a fast-paced, daily deployment environment. Our backend is primarily built in Python and runs on AWS. We use technologies including Flask, Pytest, Mypy, Docker, PostgreSQL, SQS, S3, and Terraform. Experience with this stack is a plus, but it's not essential, what matters most is strong backend fundamentals and a commitment to high engineering standards. You don't need prior gaming or casino experience. We're looking for someone with solid technical foundations and the curiosity to learn and grow within the domain. You will: Own the full backend lifecycle — Design, develop, test, monitor and maintain backend services for our systems. Build the APIs that power the experience — Create clean, efficient, and well-documented APIs for our web and mobile applications. Champion code quality — Write high-quality, maintainable code with a focus on reliability, scalability, and performance. Raise the engineering bar — Participate in code reviews and help uphold the quality and consistency of the codebase. Shape technical direction — Contribute to architectural decisions and broader technical strategy. Collaborate across teams and partners — Work closely with engineers, product teams, and external vendors to integrate third-party systems seamlessly. Ship with confidence and speed — Deliver features and improvements in a continuous deployment environment. Keep us ahead of the curve — Stay current with industry trends, best practices, and emerging technologies. The next Midniter: 5+ years of professional backend engineering experience building and operating production systems at scale. Strong proficiency in Python (or another backend language with willingness to learn Python) Strong experience designing, building, and operating event-driven architectures using messaging and streaming technologies such as Kafka. Proven track record of designing, delivering, and owning significant backend systems from conception through to production. Strong understanding of system design, distributed systems, scalability, reliability, performance, and observability. Experience working with PostgreSQL and caching technologies such as Redis. Comfortable building and operating cloud-native applications on AWS. Demonstrated ability to take ownership of problems end-to-end, driving solutions from discovery and design through implementation, deployment, and ongoing operation. Strong collaboration and communication skills, with experience working closely with product, design, and engineering stakeholders. A pragmatic approach to software engineering, balancing technical excellence with delivering value to customers. Find Jobs in United Kingdom on Arbeitnow

Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It's an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. AI is a key investment area for Kraken Technologies. A crucial part of this is building the shared foundations that let every team use AI well and move faster on our mission. You'll work in AI Foundations . We build the platform that lets teams across Kraken build and run AI agents. Our work covers four areas: Access: connecting people and systems to approved AI models and tools Context: grounding AI in trusted Kraken knowledge, data and systems Enablement: reusable building blocks for AI-powered workflows and products Governance: permissions, safety, quality, cost and visibility across the lifecycle 🏡 Where you'll fit in We're hiring Senior Software Engineers to join one of our three squads: Context: Build the Kraken-specific knowledge layer to make LLMs useful. This covers our internal AI assistant, a structured "client brain" that captures client context and decisions, and pipelines that collect knowledge from tools like Notion, Slack and GitHub. Tooling: deliver LLMs into people's hands. We run the AI Hub (usage insights, MCP gateway, self-serve and specialist agents), the LiteLLM gateway behind Claude Code, Codex and Claude Desktop, and secure cloud dev boxes for AI-assisted engineering. Evals & Observability: covers skill evals, internal benchmarking, agent safety and guardrails, and observability for live AI runs. Squads are flexible: when priorities shift, people move. This is a hands-on senior individual-contributor role. With your squad lead and the wider team, you'll own large parts of our platform, turn ideas into production systems, shape architecture decisions and help raise the engineering bar. 👾 What you'll own Build shared AI platform services: Design, build and run Python services that other teams rely on, such as gateways, agent runtimes, knowledge pipelines and eval harnesses. Build and run agents: Work out how agents are triggered, authenticated, monitored and governed across systems like Slack, GitHub, Notion and Asana. Ship both self-serve agents and specialist agents. Ground AI in Kraken context: Collect, structure and serve company knowledge so agents give answers that are correct, current and safe to use. Measure and prove quality: Define meaningful test cases, build evals whose results can be reproduced, and add tracing so we know how AI behaves in real use. Build in safety and governance: Turn permissions, guardrails, budgets and data-access rules into software you can maintain, working with Security and TechOps. Operate in AWS: Deploy and support services on AWS and Kubernetes, and make sound reliability, performance and cost trade-offs. Drive adoption: Work directly with engineers and non-technical teams, run workshops, write clear docs and turn feedback into product. Raise the engineering bar: Review designs and code, mentor others, and create patterns that can be reused across AI Foundations. 🧠 What you bring to the party Strong senior-level software engineering: You have owned complex services end to end, from design through testing, deployment and operation. Deep engineering fundamentals: Good judgement on system design, concurrency, security, testing and architecture trade-offs. Strong production Python. Hands-on LLM and agent experience: You have built real things with LLMs, you know where they fail, and you use AI coding tools every day. Cloud experience: You're comfortable running services in AWS and owning their reliability and scalability. Product sense: You care whether people actually use what you build. Clear communication: You can explain trade-offs to technical and non-technical people and challenge ideas constructively. Learning agility: You pick up new tools and domains quickly in a field that changes every month. 🚀 What success looks like Adoption: You ship platform features that teams across Kraken adopt and rely on. Solid systems: The services you own are observable, secure, scalable and cost-aware. Trust at scale: Teams can build and trust agents without rebuilding the basics. Team impact: You make your squad, and the teams around it, better. ⭐️ Bonus points: AI engineering: Pydantic AI, LiteLLM, LangChain, MCP servers Knowledge and retrieval: RAG, search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming Platform: Kubernetes, sandboxed or cloud dev environments, AWS Bedrock Backend: Django Observability: Datadog, OpenTelemetry Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at ----- We'll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we're looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice , (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you've read, understood and consent to these terms Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application. Find Jobs in United Kingdom on Arbeitnow

Sony Music's Product, Design, Engineering and Global Operations (PDEGO) team is looking for a Senior Software Engineer to join our Permissions Platform team in our King's Cross London office. As a Senior Engineer, you'll collaborate with the team lead to shape the technical direction and delivery of products that empower artists and record labels around the world. You'll combine hands-on engineering with technical leadership, working closely with Product, Design, and Engineering partners to turn complex needs into reliable, scalable solutions. You'll build performant scalable solutions, collaborate with other engineers, and help your team deliver meaningful outcomes for our users. What you'll do: ● Collaborate on the technical design and delivery of products within a cross-functional team, connecting engineering decisions to user needs and business priorities. ● Develop across our technology stack, writing clean, tested, maintainable code and setting a high standard for engineering quality. ● Balance scalability, reliability, security, and performance with pragmatic delivery. ● Partner closely with Product and Design to understand requirements, assess trade-offs, and break complex initiatives into clear, achievable milestones. ● Participate in technical design discussions and code reviews, communicating decisions clearly and building alignment within your team. ● Drive improvements to testing, observability, deployment practices, and operational reliability. ● Share knowledge and contribute to a collaborative culture of continuous learning and technical ownership. Who you are: ● You bring 8+ years of software engineering experience. ● You have a strong track record of building and delivering full-stack web applications; we use TypeScript, React, GraphQL, and Python. ● You have experience designing microservices and APIs, with a strong understanding of REST, HTTP, OAuth, and related standards. ● You bring strong knowledge of AWS cloud technologies and experience building and operating reliable production services. ● You understand how to improve application performance, page load times, and reliability. ● You champion automated testing, including unit and integration tests, and practical engineering standards that help teams deliver confidently. ● You communicate clearly with technical and non-technical partners, explaining complex ideas and helping teams make informed decisions. ● You're comfortable working in an agile, product-led environment, navigating ambiguity, and balancing longer-term technical goals with immediate priorities. ● You enjoy mentoring others and creating an environment where engineers can contribute ideas, take ownership, and grow. What we give you: ● A competitive salary and bonus scheme. ● Music perks, including free vinyl, gig tickets, live shows in our office, and opportunities to skip the queue at major UK festivals. ● An office environment with breathwork, yoga, and Pilates classes; monthly craft sessions, including perfume making, pottery, and sushi rolling; pub quizzes; and album and single launches. ● An on-site restaurant for breakfast and lunch, plus on-site baristas across two floors. ● Private healthcare and dental cover, with the option to include your family. ● 25 days of annual leave, plus bank holidays and our winter recess. ● Regular social activities, including drinks, running clubs, football teams, fantasy football, gigs, and a movie club. ● Quarterly PDEGO socials, including bowling, Formula 1, karaoke, and bingo. ● Discounts across other Sony brands, including electronics and movies. ● Entertainment and dining discounts through Tastecard, NightKey, and Gourmet Society. ● Opportunities to contribute to Sony Music's Social Justice Fund. ● An inclusive, collaborative, global community where you can help fuel the creative journey. ● A modern office environment designed to support productivity, creativity, and teamwork. ● A generous pension scheme, life assurance, and income protection. ● Investment in your professional growth and development. About Us: At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Equal Opportunities As an active part of a culturally and socially diverse society, Sony Music's aim is that our workforce is diverse and inclusive. Sony Music is an equal opportunity employer and supports workforce diversity. We employ, retain, promote and otherwise treat all employees and job applicants according to their merit, qualifications, competence and talent. We apply this policy without regard to any individual's sex, race, religion, origin, age, sexual orientation, marital status, medical condition or disability. Privacy Policy Please click here to read our privacy policy before beginning the application process as you will need to agree to the terms of the policy before submitting your information. Please note that applicants must be at least 18 years of age. Find Jobs in United Kingdom on Arbeitnow

About Nabla Nabla delivers a unified clinical AI platform used by healthcare organizations across specialties and care settings. The platform includes: Ambient AI documentation that captures clinical conversations and generates structured notes. AI-powered dictation and clinical workflow tools embedded directly within EHR systems. Agentic AI capabilities that support multi-step clinical and administrative tasks. Enterprise-grade infrastructure built for secure deployment across health systems. About the Role We are scaling our healthcare AI platform, with more products, integrations and AI agents, and more protected health information (PHI) flowing through them. To keep pace, we're growing our security engineering team and looking for an exceptional Senior Security Engineer . Our cloud infrastructure handles highly sensitive healthcare data, so security is core to everything we do. Our engineers already ask the right questions every day: can we use a one-time token here? How long should it live? How do we scope this OAuth Client? You'll work directly with our Lead Security Engineer to bring real AppSec expertise into the product squads, and to strengthen security well beyond them. This is a hands-on, high-impact role. About half your time goes to AppSec , but it is deliberately a broad security engineering role, not a pure code-review or pentest job. You'll regularly cross into platform and cloud, CI/CD and detection, and you'll own problems from start to finish. Code scanning, SCA and AI-driven code review are already running, but there is no AppSec process to undo. The threat-modeling practice, the security review loop, the triage rhythm and the secure-by-default libraries don't exist yet. You'll build them and run them. If you're pragmatic, love working shoulder to shoulder with developers, and want your work to protect patients' most sensitive data, this role is for you. Responsibilities Partner with the product squads as their go-to security engineer: design reviews, per-feature threat modeling, and fast, opinionated answers on authN/authZ, tokens and session design. Secure our authentication and authorization surfaces (OAuth clients, one-time codes, multi-org tenancy, the Core API user API, embedded/postMessage SDKs) and hunt for BOLA, IDOR and broken access control before attackers do. Run the code-security findings loop: triage and prioritize results from our SAST, SCA, secrets and IaC scanners and AI-driven code review, route them to the right owners with SLAs, and drive the dependency-vulnerability backlog down, fixing issues yourself when that's faster. Secure our AI/LLM features and internal agents, covering prompt injection, tool and permission scoping for autonomous agents, PHI leakage, de-identification assurance and model/API egress. Run the external testing program: scope and run pentests (web, mobile, backoffice), validate fixes, operate our vulnerability disclosure program, and stand up a bug bounty. Build secure-by-default guardrails (secure coding guidelines, hardened libraries and patterns, pre-commit and PR checks) so the secure path is the easy path. Qualifications 5 to 8+ years in security engineering, including at least 2 to 3 years in application or product security, or experience as a software engineer with a strong security focus. Deep understanding of modern web and API security: OAuth 2.0 / OIDC, session and token design, multi-tenancy, and the OWASP Top 10 and API Top 10. You can find access-control flaws by reading code. Strong coder, comfortable reading and fixing production code (mostly Kotlin and Python, plus web, mobile and desktop clients) and automating in Python. Experience running threat modeling and security design reviews, and operating SAST, SCA and secrets scanning in CI with a real triage loop, not just a dashboard. Genuine breadth: comfortable moving between an API design review, a supply-chain hardening PR and an incident in the same week, and honest about what you don't know yet. Excellent communicator who earns developers' trust and works well with engineering, compliance and IT. Full professional fluency in French and English (oral and written). Nice to have: LLM / AI agent security, mobile app security, pentest or bug bounty experience, GCP / GKE, or experience in healthcare or another regulated industry. Life at Nabla When you join Nabla, you join a team that is driven by excellence, curiousity, and kindness. Together, we're committed to making clinicians' lives easier and improving healthcare experiences for everyone. We believe clinicians should be able to focus on what they were trained to do, caring for their patients, and that no patient should feel their visit was rushed. We work hard and make time to have fun, too. Our #nablabla channel is just as active as #feature-show-off . We support well-being with workday activities at least three times a week; choose from yoga, running, Pilates, or HIIT. We also host regular off-sites, meet up across New York, Paris, San Francisco, and other cities, and keep the chocolate and nuts well stocked. If this sounds like an environment where you'll thrive, we look forward to reading your application. Our Values at Nabla Joining Nabla means being part of a team that shares a commitment to excellence, humility, growth, and inclusion. Every day is a new chance to excel We aim for nothing less than the best and are willing to put in the effort and dedication required to exceed standards. We learn from yesterday's failures and do better every day. Stay humble There's no place for ego in our team. Our collective success is more important than individual achievements. We see humility as wisdom — keeping focus on the bigger picture. Feedback is a gift We embrace feedback and foster a culture of trust and respect that helps everyone grow. We communicate openly about both achievements and challenges, and we actively involve each other in finding solutions. Committed to diversity We recognize the ongoing challenge of diversity in tech. Our responsibility starts with fostering an inclusive environment where everyone feels empowered to be their authentic selves and do their best work. Diversity & Inclusion Diversity and inclusivity are fundamental values at Nabla. We embrace individuals from various backgrounds, including race, gender, educational history, sexual orientation, and beyond. As an equal opportunity employer, we actively seek out and welcome applicants from diverse backgrounds, believing that a wide range of perspectives enriches our team and enhances our ability to innovate and thrive. Avoid recruitment scams: Stay safe and informed There is an active employment and financial scam which uses Nabla to collect personal information. If you're contacted by a Nabla recruiter, please ensure they are utilizing a nabla.com email address. We will never ask for the exchange of any money or credit card details during the recruitment process. Nabla utilizes a hiring platform for all applications; please be aware of any suspicious email activity. You can find more information following this link . Nabla does not accept unsolicited CVs from recruiters or employment agencies in response to the Nabla Careers page or a Nabla social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Nabla. 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