Production Engineer Process, Product, Assignment or Lead

Engineering Manager, Server Networking Security (Rust)

Mongodb

Come join and lead the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for a talented Lead Engineer to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration, and lives MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. If you want to lead a fast-growing team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. CANDIDATE PROFILE * 3+ years of experience managing a team of software engineers, including hiring, performance and growth management, compensation planning, and mentoring * You have 8+ years of experience building production-quality systems software with large backend/compiled codebases, ideally in Rust. * Bonus points for experience with performance profiling, network protocols, TLS, and connection management * You have strong technical judgment that you use to effectively guide engineering decisions in security-sensitive or networking-adjacent domains * You put the customer first and don't hesitate to cross team boundaries in search of the right solution * Solid experience in designing, writing, testing, maintaining, and operating mission-critical software systems * Bonus points Professional or advanced academic expertise in the domains of security or networking * You enjoy coaching, career development, and creating growth opportunities to help your team reach their full potential * You care about building a diverse, inclusive environment where engineers can do their best work * Regardless of prior experience, you are willing, able, and excited to quickly learn new things in the domains of computer science, software engineering, and leadership POSITION EXPECTATIONS * Lead a team of engineers, managing all aspects of people management including hiring, growth, compensation, and performance management * Be directly responsible for the results your team delivers * Lead the design, implementation, and operation production-ready security services in Rust, with a focus on security, correctness, performance, and operational excellence * Own the definition and execution of the team's 12-month roadmap for the Atlas Network Protection layer * Work with Product Management, Program Management, and Engineering leadership to specify, prioritize, and deliver new features * Handle (or lead the effort to handle) time-sensitive security incidents and customer escalations * Estimate task complexity, communicate delivery timelines, and manage risks for projects executed by the team * Ensure the team is running smoothly by eliminating technical barriers, coordinating cross-team dependencies, and focusing on the overall health and happiness of the team * Contribute to planning for organizational growth, including allocation of engineering resources, future hiring plans, and assignment of projects SUCCESS MEASURES * In the first month: Understand the high-level architecture of the Atlas Network Protection layer, the team's current projects, and the required day-to-day processes. Begin developing relationships with key stakeholders across Server, Atlas, and Product Security * In three months: Take over full management of the team and begin building trust with your reports. Assume responsibility for day-to-day team operations. Be involved in reviewing designs for new features and helping the team navigate technical challenges. Hire engineers for the team as needed * In six months: Establish yourself as a leader in the organization such that team members naturally come to you for guidance. Take over full ownership of Ingress Security’s software components. Lead the planning and execution of major features supporting the team’s major annual goals * In twelve months: Perform a full annual cycle of performance and growth conversations with your team members. Contribute to the long-term vision for the Ingress Security stack and develop a plan to achieve that vision. Increase the capability and velocity of the team in measurable ways ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 1273383870

Machine Learning Manager, Operations

Monzo

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.  With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ ----------------------------------------------------------------------------------------------------------------------------------   📍London/Cardiff/UK Remote | 💰£113,200 - £145,200 + equity + Incentive Awards tied to your performance + Benefits  ✨ Our Operations Machine Learning team ⭐ We’re building the machine learning and optimisation systems that help Monzo provide fast, efficient and resilient customer support at scale. You’ll lead Machine Learning for our Workforce Management vertical: the organisation that makes sure Monzo has the right human support supply to meet customer demand. The team works on demand forecasting, real-time supply <> demand matching, problem routing and escalation, and predictive models that help us understand how long work will take, what might become late, and where the next best human support should be assigned. This is a great role for someone who is still close to technical work. You might be a Tech Lead, Team Lead, Senior Machine Learning Scientist or Senior Machine Learning Engineer who has recently been building models and systems yourself, and is excited to grow into a broader leadership role. Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter. You’ll lead a growing team of Machine Learning Scientists, embedded in product squads working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists. 🔑You’ll play a key role by… * Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents. * Leading the design, build and delivery of production ML systems across forecasting, routing, assignment, escalation and time-to-completion prediction. * Staying close to the technical details: helping the team frame problems well, choose the right modelling approach, define robust validation, review trade-offs and ship safely. * Working with Product, Engineering, Data and Operations leaders to turn ambiguous operational problems into pragmatic, iterative ML systems that improve real customer outcomes. * Coaching and developing Machine Learning Scientists through regular 1:1s, feedback and technical guidance. * Creating healthy ways of working for the team: clear priorities, strong technical standards, good documentation, sensible monitoring, and space for people to do their best work. * Contributing to the wider Machine Learning discipline at Monzo, helping us scale how we build, ship and operate ML systems in production. 🤩 We’d love to hear from you if… * You’ve recently worked as a hands-on Machine Learning practitioner, for example as a Senior IC, Tech Lead, Team Lead or ML manager. * You have strong foundations in ML, statistics, forecasting, optimisation or operations research, and enjoy applying them to messy real-world problems. * You’ve built, shipped or owned ML systems in production, and understand what it takes to make models useful, reliable, monitored and safe. * You can move between technical detail and business context, explaining complex ML ideas clearly to technical and non-technical people. * Coaching others is something you enjoy and take seriously. You may already have people management experience, but we’re also open to people taking their first formal step into management. * Ambiguous problem spaces energise you. The right answer might involve a model, an algorithm, a product change, an operational process, or a combination of all four. * Customer outcomes matter to you, and you want to build systems that help people get answers to their problems quickly and efficiently. * You’re adaptable, curious and excited by quantitative problems. Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! 🙌 What’s in it for you 💰 £113,200 - £145,200 ➕Incentive Awards tied to your performance. ✈️ We’ll help you relocate to the UK. ✅ We can sponsor your visa.  📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)  ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.  📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.  ➕ Plus lots more! Read our full list of benefits. 🌈 The application journey has 3 key steps * Recruiter Call * Initial Call * Full Loop: ML Modelling Skills Interview, Product & ML interview, Project Deep Dive Interview, Leadership interview This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible!  We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. #LI-REMOTE ---------------------------------------------------------------------------------------------------------------------------------- Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Method Technician in Production Development

Wrknest AB

About the Role Wrknest is now looking for a Method Technician to join a high-tech production environment in Eskilstuna. The focus is on developing and optimizing manufacturing methods and supporting the introduction of new products and processes. This is a consulting assignment for an initial period of six months, with the possibility of extension. You will contribute as a specialist within your method area and play a key role in improvement initiatives and the establishment of long-term strategies. The role offers a broad scope of responsibilities and close collaboration with multiple departments. Your future work tasks You will work proactively to develop and implement manufacturing methods while supporting ongoing production needs. Your key responsibilities include: Contributing early in product introductions and pre-studies Driving efficiency improvements and spreading best practices Supporting method and process standardization and compliance Providing expertise to other roles such as article preparers and global support Implementing and phasing out production tools Educating colleagues within your method area Leading department-specific projects for profitability improvements Assisting in cost follow-ups, tool strategy, and investment planning Ensuring accurate feedback on machining times to the article preparer Participating in the development of NC-programming standards Creating a 2–3 year method strategy We are looking for Requirements Technical degree or equivalent hands-on experience Proficiency in English Strong knowledge of MS Office Solid understanding of manufacturing capability and process control Strong collaboration and communication skills We believe you are either a mechanic with hands-on field experience or an engineer with a practical mindset. Meritorious Swedish language skills Experience from method development or industrial process optimization Other information  Start: According to agreement Location: Eskilstuna  Extent: Full-time Form of employment: Consulting assignment for 6 months via Wrknest, with the possibility of extension Apply as soon as possible, as selection is ongoing.   About the Client The client is a well-established industrial company known for its innovation, quality focus, and long-term investment in sustainable production development. Their operations are driven by a commitment to continuous improvement, knowledge sharing, and technical excellence. About Wrknest Engineering Wrknest Engineering specialises in helping engineers and technicians find the next step in their careers. We collaborate with the companies of the future and offer both recruitment and consulting services in technology and industry – always with a focus on people. We believe in building long-term relationships and strive to be a committed and responsive partner. Through us, you will have the opportunity to be part of the technological advances that are shaping tomorrow's society – in roles where your knowledge makes a real difference. Our ambition is for you to enjoy your work, develop and feel proud of what you do. Read more at www.wrknestengineering.se.