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Staff Frontend Engineer
Location: Remote (UK-based)
Salary: Up to £115,000

We’re working with our client, a fast-growing SaaS company founded by serial entrepreneurs, to recruit a Staff Frontend Engineer. Their platform is transforming how leading professional services firms interact with complex data-think Figma for financial, legal, and consulting workflows.

Role Overview:
This is a high-impact, hands-on role where you’ll lead the development of scalable, performant features across the stack. You’ll work directly with the CTO and CEO, contributing to architectural decisions and driving innovation. This position is ideal for someone who wants deep technical ownership without people management responsibilities.

Key Responsibilities:

• Build and maintain features using TypeScript, and Vue.js (or React/Angular/Next.js)
• Own architecture and design of key systems and applications
• Develop scalable, secure, and maintainable solutions
• Collaborate closely with senior leadership on high-priority projects

Requirements:

• Essential:
  • Expert-level experience in full-stack development (Mainly focused on the frontend)
  • Strong knowledge of modern JavaScript frameworks
  • Full Stack Experience (Using Node.js, Python or C#)
  • Track record of architecting and delivering complex systems
  • Ability to work autonomously in a fast-moving environment
  • Background in enterprise SaaS product development

• Desirable:
  • Experience with Azure and Docker
  • Familiarity with data visualisation or diagramming tools
  • Exposure to AI-enhanced or real-time user interfaces

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RESPONSABLE DE L’ARCHITECTURE DATA
NOUVELLE-AQUITAINE
65-85K€

En tant que Responsable de l’achitecture data, vous incarnerez le socle technique de l’équipe Data Engineering au sein de ce client final. Vous serez responsable de piloter, challenger et faire évoluer une architecture déjà robuste, tout en accompagnant la mise en production de projets à forte valeur ajoutée.

VOTRE RÔLE

• Auditer et renforcer la stack existante (Snowflake, Talend, DBT, Power BI, Qlik, AWS) avec une vision orientée ROI.
• Cartographier et fiabiliser les pipelines existants, tout en préparant une migration vers des outils ELT modernes (ex. DBT).
• Mettre en place et configurer une solution de monitoring des flux via SIFLET.
• Piloter l’industrialisation des projets IA / MLOps, en lien avec les équipes Data Science et les prestataires externes.
• Accompagner et coordonner l’équipe Data Engineering (1 junior + 4 prestataires) avec un vrai leadership technique, sans dimension managériale directe.

VOTRE PROFIL

• 7 à 10 ans d’expérience en Data Engineering / Architecture Data (flexible à partir de 5 ans pour un profil exceptionnel).
• Maîtrise de Snowflake, AWS (ou autre cloud), CI/CD, et connaissance d’outils ELT (DBT, Talend…).
• Expérience dans l’industrialisation de modèles IA ou une bonne maîtrise des pratiques MLOps.
• Capacité à challenger des choix technologiques, construire une vision et embarquer une équipe transverse.
• Leadership technique, capacité à travailler avec des prestataires, sans responsabilité managériale formelle.
• Langues : français courant et anglais professionnel requis.

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LEAD DEVELOPER PYTHON
PARIS (75)
70-90K€

Cette société innovante en pleine croissance, développe une solution à fort impact. Leur produit phare, une application mobile utilisée directement par les clients finaux, est en pleine structuration technique.

VOTRE RÔLE

• Revue de code, définition et amélioration des process backend
• Animation technique de l’équipe backend (sans responsabilités RH)
• Encadrement opérationnel de trois développeurs backend
• Contribution aux choix d’architecture technique en lien avec le CTO, le Head of Engineering et le Product Manager
• Participation à la stratégie de structuration de l’équipe, notamment via le recrutement futur de contributeurs individuels
• Participation active au développement de nouvelles fonctionnalités sur le backend
• Veille à la qualité, la performance et la stabilité de l’application
• Partage des bonnes pratiques de développement, mentorat technique et accompagnement des développeurs plus juniors

VOTRE PROFIL

• Minimum 5 à 6 ans d’expérience en développement backend, avec des APIs Python
• Solide expertise sur Django (au moins 2 ans d’expérience en production)
• Bonne compréhension des enjeux de performance, notamment en temps réel
• Expérience dans un environnement scale-up ou start-up
• Capacité à intervenir sur des choix d’architecture, structuration de code, et définition de process
• Forte appétence pour le travail en équipe et la transmission de savoir
• Leadership naturel et sens de l’initiative
• Rigueur, autonomie, curiosité technique
• Bon relationnel pour interagir avec les équipes produit, technique et métier
• Formation supérieure technique, de type école d’ingénieur (EPITA, Epitech, etc.) appréciée
• Bon niveau de français et d’anglais à l’oral comme à l’écrit

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About the Company
Our client is on a mission to make high-quality math education accessible to every student, no matter where they live. Our platform blends handwriting, speech, and text with cutting-edge AI to create personalized, interactive learning experiences.

The Role
We’re looking for a React Developer who thrives on creating playful, modern interfaces that engage K-12 learners. You’ll help build features that feel alive and intuitive, with delightful animations and clean design. You’ll work closely with designers, founders, and AI engineers to create an experience students love.

This is a unique opportunity to shape the front-end of a global edtech product from the ground up. You must be comfortable working within a start up environment, on a small team.

Responsibilities:

• Own and build new features for student and parent dashboards using React, Tailwind, and Shadcn.

• Design smooth animations and thoughtful micro-interactions.

• Collaborate across design, AI, and backend teams to create multimodal (handwriting, speech, text) experiences.

• Write clean, maintainable code with strong state management.

• Contribute to the component library and advocate for front-end best practices.

• Continuously improve UX and suggest new ideas to enhance engagement.

Experience required:

• 2+ years of experience building production-grade React apps.

• Must have experience with component-based architecture and state management (Redux, Zustand, Jotai, etc.).

• Must have experience with handling side effects and asynchronous operations (e.g., with useEffect, useSWR, React Query)

• Experience with Tailwind CSS and/or Shadcn UI (or similar libraries).

• Must be able to code in JavaScript/Typescript without assistance

• Self-motivated, collaborative, and comfortable in a fast-paced startup environment.

Bonus Points If You Have

• Experience in K-12, edtech, or accessibility-focused applications.

• Familiarity with animation libraries (Framer Motion, Lottie, etc.).

• Exposure to audio/image/speech integrations or AI-based products.

• Backend familiarity with Python/Django or working with AI services.

Note: This candidate must be authorized to work in the U.S. We cannot provide sponsorship for this role now or in the future. We will not accept C2C applicants and are not looking to partner with outside vendors.

Name:

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Director of Machine Learning Engineering

AdTech | Remote – US Based | $220,000 – $260,000 + Bonus + Equity

Are you a hands-on leader who thrives at the intersection of machine learning systems, real-time infrastructure, and business impact?

We’re working with one of the fastest-growing AI-led AdTech platforms in the industry. Recently recognized for award-winning innovation in programmatic advertising, this company is redefining how brands apply custom AI to optimize media buying across major DSPs, Meta, and YouTube.

They’re now seeking a Director of Machine Learning Engineering to lead their end-to-end ML systems – from architecture to deployment – while mentoring a team of senior MLEs and collaborating closely with engineering and product.

If you’re passionate about building robust, scalable ML pipelines and shaping the future of real-time decisioning, this role is for you.

THE ROLE

As Director of Machine Learning Engineering, you’ll:

• Own the architecture, deployment, and performance of custom ML systems used for large-scale ad bidding and decisioning.

• Lead the design and optimization of low-latency pipelines built with Databricks, PySpark, Kubernetes, and Rust.

• Oversee LLM and neural network-based models, ensuring they are production-ready and aligned with business strategy.

• Collaborate with the Engineering Architect to build resilient, scalable ML infrastructure.

• Mentor and manage a growing team of 3+ MLEs, fostering high standards in ML software engineering.

• Guide adoption of emerging technologies like LoRA, quantization, vector stores, and Rust microservices for model serving.

• Partner cross-functionally to translate business objectives into impactful AI solutions.

SKILLS & EXPERIENCE

To be successful, you will need:

• 8+ years of experience in machine learning engineering, with 3+ years in leadership roles.

• Deep expertise in building real-time ML systems with Kubernetes, Rust, PySpark, Databricks, and deep learning frameworks like PyTorch or TensorFlow.

• A proven track record of deploying LLMs and neural networks at scale.

• Mastery of MLOps tools including MLflow, Prometheus, Grafana, Airflow, etc.

• Strong cloud and data engineering experience (especially AWS and Databricks).

• A hands-on mindset with the ability to influence technical architecture and direction.

• Exceptional collaboration and communication skills across engineering and executive stakeholders.

• Experience in AdTech or performance marketing is a strong advantage.

BENEFITS

• Highly competitive base + performance bonuses + equity

• Unlimited PTO, 11 company holidays, and year-end closure

• Full medical, dental, vision & 401k options

• Fully remote role within the US

• Opportunity to shape a best-in-class AI platform used by global brands

• Work in a transparent, high-ownership culture that values innovation and technical excellence

Interested in leading at the cutting edge of ML infrastructure in AdTech?

Apply now to connect with a consultant at Harnham.

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Founding Full-Stack Engineer (React + Rust)

AI Infrastructure – Open Source

$200,000 – $300,000 + Equity (~1%)

Onsite – Williamsburg, NYC

Join a deeply technical AI startup as a founding engineer, building the open-source infrastructure powering the future of LLM optimization. With world-class backers and a team of Stanford, Oxford, and CMU alumni, this is an opportunity to own critical product features from day one and help shape a category-defining developer platform.

THE COMPANY

This stealth-mode startup is building an open-source platform that helps teams optimize LLMs in production – think observability, inference routing, and programmatic evaluation in one powerful feedback loop. The company is backed by investors behind OpenAI, ClickHouse, and Anthropic, and has years of runway to support deep open-source investment.

THE ROLE

As Founding Full-Stack Engineer, you will:

• Lead the build of the observability dashboard and core user-facing tools
• Work in React and Rust to craft high-performance, developer-first experiences
• Collaborate directly with the CEO, CTO, and ML researchers to shape product and infrastructure
• Contribute open source code that impacts the broader LLM/devtools ecosystem
• Influence product direction and engineering culture as a true early team member

YOUR SKILLS & EXPERIENCE

• Strong technical foundation with experience driving 0→1 product builds
• Proficiency in React and Rust (must-have)
• Experience designing technical UIs for engineers/ML users
• Track record of OSS contributions or a strong GitHub presence is a plus
• Passionate about developer experience and the craft of software engineering
• Open to H1B or O1 transfer for exceptional candidates

BENEFITS

• $200K-$300K base + meaningful equity (~1%)
• Work alongside an all-technical founding team from Stanford, Oxford, CMU, AWS, and Meta
• Learn from leaders in OSS (Radix UI, RemixJS), Rust, and ML research (NeurIPS, Meta AI)
• Contribute to open-source every day
• Onsite collaboration in a top-tier Brooklyn workspace

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AZURE CLOUD ENGINEER (MCO)
IDF – 2 jours de télétravail
UP TO 55K€ FIXES + 2K variable

Azure – Kubernetes – Terraform

L’ENTREPRISE
C’est une entreprise du retail qui développe des solutions innovantes. Dans un contexte de forte croissance, l’entreprise recherche un expert sur Azure pour assurer la maintenance en condition opérationnelle de ses outils devops.

LE POSTE

Rattaché directement au Manager Devops et au sein d’une équipe de 5 personnes, vous aurez un rôle à 80% maintien des outils et 20% de taches Devops :

• Gérer les incidents et les SLA/SLO
• Analyser et lire des logs
• Suivre les tableaux de bord et les alertes.
• Automatiser et exécuter les processus de Build et de déploiement
• Identifier et répondre aux incidents de production et piloter l’analyse des root causes et les mesures correctives.
• Surveiller et prendre en charge de manière proactive la plateforme de l’entreprise
• Définir et mettre en œuvre des solutions de contournement et des mesures d’atténuation.
• Assurer la distribution, les performances et l’évolutivité de la plateforme.
• Vérifier les livraisons, les déployer dans un environnement de préparation et assurez la qualité
• Mettre en œuvre des améliorations, par exemple via des scripts ou des outils disponibles.

LE PROFIL

• Master ou équivalent en informatique
• Minimum 2 ans d’expérience dans l’utilisation de Linux, avec une expérience en automatisation et déploiement
• Connaissance obligatoire de Kubernetes et de Terraform
• Excellente maîtrise technique d’Azure ARM, PowerShell
• Des certifications Azure sont un atout
• Niveau d’anglais B2 requis

POSTULER

Merci de joindre votre cv à jour et je vous recontacterai dès que possible.

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DATA ENGINEER

LONDON

£110K + 100% BONUS

THE COMPANY

This global private equity investor focuses on transformative software and services businesses-backing companies that are changing the way the world works. With over 50 portfolio companies valued collectively at $150bn+, they’re behind one of the largest software portfolios globally. Their scale creates huge opportunity to drive value through data-empowering better decision-making and building next-generation of data products that will change the world.

THE ROLE

As a Data Engineer, you will play a pivotal role in designing and building scalable data solutions that directly influence both internal operations and value creation across a world-leading portfolio. This is a unique opportunity to work in a hands-on, high-impact role shaping greenfield data platforms and embedding data strategy within ambitious software businesses.

Specifically, you can expect to be involved in the following:

• Designing and developing full-stack data pipelines and platforms using modern tools such as dbt, Airflow, and cloud infrastructure
• Cleansing, enriching and modelling data to generate commercial insights and power C-level dashboards
• Delivering scalable solutions that support internal use cases and extend directly to portfolio companies
• Working on project-based data initiatives, including AI/ML integrations for predictive modelling and cloud-based productisation
• Collaborating with commercial teams (RevOps, Finance, Sales) to turn messy data into meaningful business value
• Building internal data products and helping define the next generation of services across the wider platform

SKILLS AND EXPERIENCE

The successful Data Engineer will have the following skills and experience:

• 5+ years in data engineering, with experience in commercial environments
• Proven ability to manage the full data lifecycle-from ingestion to transformation to delivery
• Comfortable working closely with commercial functions (e.g. finance, sales) and building tools that serve business needs
• Background in startups or scale-ups with high adaptability and a hands-on approach
• Experience with modern data tools (e.g. dbt, Airflow, CI/CD) and at least one cloud platform (AWS, GCP, Azure)
• Strong communication skills and a track record of credibility in high-pressure or client-facing settings

BENEFITS

The successful Data Engineer will receive the following benefits:

Salary up to £110k

Hybrid working model – 3 days a week in office

100% Bonus

30 days annual leave

Benefits package (pension, private medical, etc…)

HOW TO APPLY

Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

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Fullstack Software Engineer – Web Application Developer
$175,000 – $190,000
US Remote (Must be based in the US)
Robotics Start-Up

Our client is a cutting-edge Computer Vision product company on a mission to improve safety in industrial environments. By applying advanced AI to construction inspection and failure prediction, they’re solving real-world challenges in high-risk industries such as utilities, mining, maritime, and construction. Their solutions are already redefining safety standards in electric utility operations, eliminating guesswork and preventing potentially catastrophic failures.

With a lean, highly skilled team, they’re building AI-powered systems that connect field operators with intelligent diagnostics through ruggedised edge devices and responsive web apps in real-time, and often in offline-first environments.

THE ROLE
This is a high-impact opportunity to own and lead the development of a mission-critical web application stack. You’ll build the interfaces that connect industrial AI edge devices to field users and central office systems. This platform is central to the company’s value proposition and user experience.

• Full ownership of the customer-facing web application stack

• Architecting resilient systems for unreliable field connectivity
• Integrating edge device data with AWS-hosted cloud infrastructure
• Designing and building scalable front-end experiences using Vue.js
• Establishing secure API contracts, identity management, and CI/CD pipelines
• Collaborating closely with AI, product, and device engineering teams
• Laying the foundation for future platform and team scaling

YOUR SKILLS AND EXPERIENCE

• You will have experience working in a robotics, Edge of IoT business.
• Expert-level experience in full-stack web application architecture
• Proven experience with real-time data systems and offline-first design
• Strong front-end skills (Vue.js preferred) and backend API design
• Experience with cloud platforms (AWS) and edge device integration
• Knowledge of best practices in identity management and web security
• Familiarity with CI/CD pipelines and deployment automation
• Ability to lead independently while communicating effectively across teams

BENEFITS

• 170,000 – 190,000 USD
• Opportunity to lead critical architecture in a greenfield enviroment
• Remote-first culture
• Direct impact on safety in a high-risk industry
• Equity on a case-by-case basis.

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The Company

This is a US-based industrial AI company that utilises advanced computer vision and edge computing to address critical safety challenges in physically demanding sectors, including construction, maritime, mining, and energy.

The Role

As a Principal Software Engineer – Edge Computing & Computer Vision, you’ll take the lead in developing real-time image processing systems that run directly on edge devices in constrained environments, tightly integrated with a modern AWS cloud backend.

This is a senior, hands-on role for an engineer who thrives at the intersection of AI, embedded systems, and real-world constraints. You’ll lead technical direction, mentor other engineers, and drive the delivery of reliable, production-grade vision systems that operate at the edge, where network connectivity is often intermittent, and system failure is not an option.

Key Responsibilities

• Design and implement robust computer vision pipelines optimized for edge devices

• Architect scalable edge-to-cloud software systems using AWS

• Lead engineering initiatives, mentor team members, and establish best practices

• Optimize real-time image processing for speed, memory, and hardware efficiency

• Build observability and monitoring into distributed edge/cloud environments

• Develop CI/CD and deployment pipelines for embedded software

• Collaborate closely with ML engineers on model tuning for low-resource devices

Tech Environment

• Languages: Python (expert-level), with C++/embedded as a plus

• CV & ML: OpenCV, TensorFlow Lite, PyTorch Mobile, ONNX Runtime

• Hardware: NVIDIA Jetson, Raspberry Pi, custom Linux-based embedded systems

• Infrastructure: AWS (IoT Core, Lambda, CloudWatch), Docker, Prometheus, Grafana

• CI/CD: Edge deployment, observability, testing automation for embedded systems

Ideal Candidate

• 8+ years of software engineering experience, with deep Python expertise

• Strong background in edge computing, embedded systems, and real-time processing

• Fluency in computer vision algorithms and performance optimization

• Experience deploying ML models on constrained devices

• Leadership experience and mentoring capabilities

• Excellent communication skills, and passion for solving safety-critical challenges

Work Policy

• Remote-first (U.S. based)

• Flexible hours and team collaboration norms

• Hands-on, high-autonomy environment with direct product impact

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