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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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Director of Machine Learning
NYC

An award-winning AI company at the forefront of real-time programmatic technology, delivering impactful, data-driven solutions for global brands.

Mission:

We’re looking for a Senior Machine Learning Engineering Leader to own the ML infrastructure and guide the technical strategy. You will lead a team of engineers, ensure scalable, fault-tolerant ML pipelines, and collaborate with product and engineering teams to align ML systems with business goals.

Desired Profile:

• Minimum 8 years in ML engineering, with at least 3 years in leadership roles.

• Hands-on experience with cloud platforms (AWS, Databricks), MLOps tools (MLflow, Prometheus), and CI/CD pipelines.

• Proficiency with deploying low-latency ML solutions and advanced architectures, including LLMs, vector stores, and Rust microservices.

• Strong stakeholder communication and ability to mentor and grow engineering talent.

• Background in advertising or performance marketing a bonus.

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MLOps Engineer
London
£60,000-£70,000

About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.

Key Responsibilities:

• Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
• Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
• Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
• Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
• Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
• Develop monitoring solutions to track model performance and system health in production.
• Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.

Qualifications:

• Proven experience as an MLOps engineer or similar role with a focus on 3D applications
• Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
• Expertise in 3D reconstruction and rendering
• Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
• Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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TECH LEAD DATA

HYBRIDE – UP TO 80K€ FIXES

Talend – Snowflake – AWS

L’ENTREPRISE

C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Elle intervient principalement dans la distribution et les services liés aux véhicules. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.

LES MISSIONS

En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la modernisation de la stack technique actuelle (reprendre l’existant et l’améliorer). Vos missions seront les suivantes :

• S’approprier l’ensemble des pipelines existantes et les rendre plus robustes en proposant une nouvelle architecture data
• Mettre en place des systèmes de monitoring
• Prendre en charge l’équipe data et s’assurer qu’ils sont orientés data et delivery
• Participer et piloter les projets de migration
• Industrialiser des modèles d’IA et être force de proposition
• S’assurer de la mise en oeuvre des bonnes pratiques de traitement et sécurisation de de donnée
• Accompagner un profil plus junior (management direct) et l’aider à monter en compétences

VOTRE PROFIL

• Bac+5 au sein d’une école d’ingénieur ou université en data engineering ou gestion d’infrastructure
• Minimum 5 ans d’expérience sur un rôle similaire, sur des projets d’architectures data et management d’équipe transverse
• Solide expertise sur un outil d’ETL (Talend) et de Data Warehouse (Snowflake)
• La connaissance d’un cloud public est requise
• Compétences en MLops fortement appréciées
• Niveau d’anglais B1

POUR POSTULER

Merci de me faire part de votre CV et je vous recontacterai au plus vite.

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LEAD DATA SCIENCE & IA
POITOU-CHARENTES (86)
65-85K€

En tant que Lead Data Science & IA, vous serez responsable de la conception, du déploiement et de l’industrialisation des projets IA au sein du groupe. Ce poste stratégique allie expertise technique, chefferie de projet, et acculturation des métiers à la data science.
Vous évoluerez dans un environnement agile, en pleine construction, avec une grande liberté d’action et un fort impact business.

VOTRE RÔLE

• Développer et déployer des modèles ML/IA sur des cas d’usage métier (prévision, scoring, optimisation…)
• Assurer la maintenance évolutive et l’amélioration continue des modèles
• Piloter l’industrialisation progressive (MLOps, containerisation, monitoring…)
• Cadrer et gérer les projets de A à Z : recueil de besoins, échanges métier, restitution
• Vulgariser les résultats et accompagner l’acculturation IA en interne
• Participer au recrutement et à la structuration de l’équipe Data Science

VOTRE PROFIL

• Minimum 5 ans d’expérience (possibilité d’ouvrir à 2-3 ans pour des profils très solides issus de grandes écoles type ENSAE, Télécom, Polytechnique, ENSAI)
• Solide formation en mathématiques appliquées / statistiques / machine learning
• Maîtrise avancée de Python, Docker, et des environnements Cloud (AWS ou autre)
• Expérience concrète en mise en production de modèles IA et pratique de MLOps
• Capacité à gérer un projet de bout en bout et à vulgariser les résultats auprès de publics non techniques
• Esprit structurant, terrain, et posture de leader technique
• Bon niveau de français et anglais

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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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SENIOR DATA SCIENTIST
NOUVELLE-AQUITAINE
60-80K€ + avantages

Cette société industrielle recherche son Senior Data Engineer car elle connaît une accélération forte de sa transformation digitale, notamment autour des sujets data, IA et automatisation des processus.

VOTRE ROLE

• Concevoir, développer et industrialiser des modèles IA (prévisions, scoring, segmentation, optimisation…).
• Structurer la vision Data Science du groupe (cadre méthodologique, bonnes pratiques, outillage).
• Encadrer et faire monter en compétence une future équipe de Data Scientists, tout en étant hands-on au démarrage.
• Travailler en synergie avec les équipes Data Engineering, IT et métiers pour garantir la valeur opérationnelle des cas d’usage IA.

VOTRE PROFIL

• Bac+5 ou doctorat en mathématiques appliquées, machine learning, statistiques ou équivalent.
• 6 à 10 ans en Data Science, dont une expérience significative en déploiement de modèles IA en production.
• Excellente maîtrise de Python, SQL, et des librairies ML (scikit-learn, XGBoost, TensorFlow…).
• Pratique des bonnes méthodes de MLOps : CI/CD, monitoring, automatisation, scalabilité.
• Connaissance des environnements Cloud et data warehouse.
• Leadership, autonomie, rigueur.
• Capacité à vulgariser les sujets IA auprès des équipes métiers.
• Esprit entrepreneurial, orienté impact et résultat.

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SENIOR DATA ENGINEER
NOUVELLE-AQUITAINE
60-80K€ + avantages

Cette société industrielle recherche son Senior Data Engineer car elle connaît une accélération forte de sa transformation digitale, notamment autour des sujets data, IA et automatisation des processus.

VOTRE RÔLE

• Concevoir et faire évoluer une architecture data robuste, sécurisée et scalable (ingestion, transformation, stockage, exposition).
• Encadrer techniquement les projets d’intégration et de traitement de données, en lien avec les équipes internes et partenaires externes.
• Travailler en étroite collaboration avec les équipes IT, Data Science, Analytics et Métiers pour garantir l’alignement stratégique des solutions techniques.
• Préparer l’environnement technologique pour accueillir des projets IA/Machine Learning, dans une logique MLOps.

VOTRE PROFIL

• Bac+5 en informatique, systèmes d’information, data engineering ou domaine équivalent.
• Minimum 5 à 7 ans en environnement data / cloud, avec une première expérience en architecture technique.
• Maîtrise des pipelines de données, ETL/ELT, outils d’orchestration.
• Bonne connaissance des environnements Cloud et des architectures orientées données.
• Pratique confirmée de Python et SQL.
• Connaissance des problématiques de sécurité, gouvernance et industrialisation.
• Leadership technique, posture de conseil, esprit structuré.
• Capacité à vulgariser les enjeux data auprès de publics non techniques.
• Autonomie, rigueur, appétence pour les environnements en construction.

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Manager, MLOps Engineering
$170,000-$190,000 + bonus + RSUs
Legal-tech
Toronto, Canada

About the Organization

Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.

What You’ll Bring

• 7+ years of software engineering experience in production environments
• 2+ years of team management experience working with ML systems (Python)
• Experience with ModelOps / MLOps workflows
• Background in:
• NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Numpy, Pandas, and scalable data handling
• Cloud environments (provider-agnostic)
• CI/CD pipelines, GitFlow, and Agile development
• Logging, alerting, testing, and autoscaling systems
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on ML products
• Experience delivering LLM-based solutions
• Engineering management experience, including mentoring or leading cross-functional teams
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience
• People management of teams greater than 5

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval

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Director of Data Science & LLMs – Financial Services

Location: Hybrid in New York, New York

Compensation: $300,000 – $325,000 base salary + performance bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth financial services company at the intersection of AI, legal tech, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.

With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.

THE ROLE

As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.

Key Responsibilities:

• Strategic Leadership: Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs.
• Team Building & Management: Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment.
• Technical Oversight: Guide end-to-end model development-from research and prototyping through production deployment, performance monitoring, and continuous optimization.
• Cross-Functional Influence: Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions.
• Innovation: Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge.
• Thought Leadership: Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI.
• Operational Excellence: Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and software engineering, with at least 4+ years in a leadership or managerial role.
• Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
• Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
• Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
• Extensive financial services domain experience.
• Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
• Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
• PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Senior-Level Management Compensation: $300,000 – $325,000 base + bonus + tangible equity.
• Remote-First Culture: Work from anywhere in the United States or Canada.
• Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
• Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
• Strategic Impact: Lead a core function at the center of the company’s long-term success.

HOW TO APPLY

Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.

KEYWORDS:

Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI

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AI Consultant – Machine Learning | Global Innovation Leader

Location: Amsterdam

Type: Full-Time

Department: Technology & Innovation

Level: Mid-Senior

Join Us to Shape the Future of AI Across Industries

This company are a global powerhouse in innovation, delivering cutting-edge solutions that empower industries to evolve and lead in the digital era. From financial services and healthcare to logistics and retail, our clients count on us to unlock the transformative power of artificial intelligence.

They are looking for a Machine Learning-focused AI Consultant who combines technical depth with business acumen. You’ll work with global clients to identify AI opportunities, design ML solutions, and drive real-world impact at scale.

What You’ll Do

• Collaborate with cross-functional teams to define AI/ML strategies aligned with business goals.
• Design and develop machine learning models, pipelines, and prototypes for enterprise use cases.
• Advise on the selection of appropriate ML tools, frameworks, and cloud platforms.
• Communicate technical concepts to non-technical stakeholders with clarity and influence.
• Support pre-sales efforts and client workshops, offering thought leadership in AI applications.
• Ensure responsible AI practices, including fairness, interpretability, and compliance.

What We’re Looking For

• Proven experience in machine learning model development and deployment (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
• Solid grasp of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.
• Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong consulting mindset with the ability to translate business problems into ML solutions.
• Excellent communication and client engagement skills.
• Bachelor’s or Master’s in Computer Science, Data Science, or a related field (PhD a plus).

Why Join Us?

• Global Impact: Work with top-tier clients in 40+ countries.
• Innovation Culture: Collaborate with thought leaders and contribute to breakthrough AI initiatives.
• Growth & Learning: Access to internal AI labs, certifications, and global conferences.
• Flexibility: Hybrid work options and support for remote team members worldwide.
• Diversity & Inclusion: We believe in building inclusive technology – and teams that reflect that.

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