Abrar Admin

Helsing

<div>
 
 Who We Are
 
 
 
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 
 
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 
 
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 
 
 
 The role
 
 
 
 At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity. We are looking for engineers who can navigate the convergence of machine learning and systems engineering to build robust, scalable platforms.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases.
 </li>
 <li>
 Scale our current infrastructure and tooling stack to support faster and larger distributed training.
 </li>
 <li>
 Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm.
 
 
 </li>
 </ul>
 
 You should apply if you:
 
 
 
 <ul>
 <li>
 Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning.
 </li>
 <li>
 Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow). You don&rsquo;t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.
 </li>
 <li>
 Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture.
 </li>
 <li>
 Have a "first-principles" mindset: you enjoy reading the latest AI optimisation blog posts and integrating them into codebases rapidly.
 </li>
 <li>
 You have debugged production ML pipelines and can tell a good war story about finding a subtle numerical or performance issue.
 
 
 </li>
 </ul>
 
 Note: We operate at an intersection where women, as well as other minority groups, are systematically
 
 
 under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
 
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI).
 </li>
 <li>
 You have worked with large-scale datasets made of different modalities. Understanding the tradeoffs in locality, encoding, formats, and streaming strategies.
 </li>
 <li>
 You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray, having used them to schedule and manage complex, concurrent training jobs at scale.
 </li>
 <li>
 You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads.
 
 
 </li>
 </ul>
 
 Join Helsing and work with world-leading experts in their fields
 
 
 
 <ul>
 <li>
 Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
 </li>
 <li>
 The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
 </li>
 <li>
 Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
 </li>
 <li>
 In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
 </li>
 <li>
 We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary and VSOP options
 </li>
 <li>
 Relocation support: up to &euro;2,500 and 4 weeks temporary accommodation
 </li>
 <li>
 Learning: &euro;500/&pound;450 yearly allowance
 </li>
 <li>
 Health &amp; wellness: gym membership and mental health support (Nilo.health)
 </li>
 <li>
 Social: regular company events and monthly social allowances
 </li>
 <li>
 Enhanced parental leave: 22 weeks fully paid for primary caregivers &amp; 6 weeks for secondary caregivers
 </li>
 <li>
 Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
 </li>
 <li>
 A hands-on onboarding program (affectionately labelled &ldquo;AI-duction&rdquo;), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one
 
 
 </li>
 </ul>
 
 These are the core benefits across all locations, there may be additional benefits in certain locations.
 
 
 
 
 Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
 
 
 
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
 
 
</div>

AI Research Engineer - ML Engineering

<div>
 
 Who We Are
 
 
 
 Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.
 
 
 As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.
 
 
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 
 
 The Role
 
 
 Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.
 
 
 Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.
 
 
 We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team &mdash; and our mission&mdash;forward.
 
 
 The day-to-day
 
 
 <ul>
 <li>
 As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.
 </li>
 <li>
 You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance
 </li>
 <li>
 You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance
 </li>
 <li>
 You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.
 </li>
 <li>
 You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack
 
 
 </li>
 </ul>
 Key Skills
 
 
 <ul>
 <li>
 Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling
 </li>
 <li>
 Experience with GitOps workflows and CI/CD automation
 </li>
 <li>
 Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)
 </li>
 <li>
 Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco
 </li>
 <li>
 Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks
 </li>
 <li>
 Networking: Expert understanding of networking concepts, protocols and security
 </li>
 <li>
 MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms
 </li>
 <li>
 Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper
 </li>
 <li>
 System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems
 </li>
 <li>
 Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions
 
 
 </li>
 </ul>
 You should apply if you
 
 
 <ul>
 <li>
 Have a high level of personal integrity, reliability, and attention to detail
 </li>
 <li>
 Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity
 </li>
 <li>
 Have experience running cloud-native workloads in on-premises or air-gapped environments
 </li>
 <li>
 Are willing to be based to Munich, Berlin London or Paris and work in a hybrid environment.
 
 
 </li>
 </ul>
 We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams &ndash; and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.
 
 
 
 Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don&rsquo;t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
 
 
 
 Join Helsing and work with world-leading experts in their fields
 
 
 <ul>
 <li>
 Helsing&rsquo;s work is important. You&rsquo;ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.
 </li>
 <li>
 The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.
 </li>
 <li>
 Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.
 </li>
 <li>
 In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.
 </li>
 <li>
 We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn&rsquo;t work, and to take ownership of aspects of our culture that you care deeply about.
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 A focus on outcomes, not time-tracking
 </li>
 <li>
 Competitive compensation and VSOP options
 </li>
 <li>
 Relocation support
 </li>
 <li>
 Social and education allowances
 </li>
 <li>
 Regular company events and all-hands to bring together employees as one team across Europe
 </li>
 <li>
 A hands-on onboarding program (affectionately labelled &ldquo;Infraduction&rdquo;), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one
 
 
 </li>
 </ul>
 
 Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
 
 
 
 Helsing's Candidate Privacy and Confidentiality Regime can be found here.
</div>

Site Reliability Engineer

Join Helsing and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Helsing

About Company

AI Research Engineer - ML Engineering

Site Reliability Engineer