ORLANDO data & ai RECRUITMENT

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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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SENIOR DATA SCIENTIST / ENGINEER

UP TO 60K€ PACKAGE

2-3 JOURS DE TÉLÉTRAVAIL

Python – SQL – Pyspark – AWS – Tableau

Une startup parisienne dans le domaine de la santé recherche un Senior Data Scientist / Engineer expérimenté. Si l’environnement startup vous intéresse, alors cette offre est faite pour vous !

LE POSTE

Rattaché au Head of Data, vous rejoindrez l’équipe data composée de deux personnes. Vous serez en charge de l’extraction, la collecte et l’interprétation des données à fort enjeux business. Vos missions au quotidien :

• Collecter, centraliser et organiser les données s’assurant de leur qualité et leur disponibilité
• Détecter et corriger les données erronées, doublons ou incohérences, tout en garantissant un entrepôt de données bien structuré
• Améliorer occasionnellement des pipelines de données, concevoir des algorithmes d’analyse et des modèles prédictifs fiables, créer des POC sur des sujets IA
• Créer des dashboards, rapports et visualisations claires pour aider les équipes métier à exploiter les données
• Suivre les innovations data, proposer de nouvelles approches/outils pour améliorer les pratiques du pôle data

VOTRE PROFIL

• Bac+5 au sein d’une top 10 école d’ingénieur en mathématiques, statistiques ou data science
• Minimum 3 ans expérience sur un poste similaire au sein d’une startup/scaleup
• Expérience solide avec Python, SQL, Pyspark
• Maîtrise d’un cloud public (AWS, GCP ou Azure)
• Vous êtes autonome, bon communicant et aimez le travail d’équipe

POUR POSTULER

Merci de joindre votre cv à jour et nous reviendrons vers vous rapidement.

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FULL STACK DATA SCIENTIST
PARIS (75)
45-60K€

Dans le cadre du développement de l’équipe Data Engineering, nous recrutons un(e) Data Engineer & Scientist Senior.

Le poste s’oriente davantage vers l’engineering, tout en conservant une dimension analytique au service des métiers (RH, marketing, satisfaction client).

VOTRE ROLE

Structurer, organiser et consolider la collecte de données existante

• Maintenir, modifier occasionnellement et faire évoluer des pipelines de données déjà en place
• Être autonome sur les sujets R&D Data, avec une forte composante scientifique (création de POC IA, analyse, modélisation, prédiction)
• Travailler en étroite collaboration avec les équipes métiers (RH, marketing, satisfaction client) pour transformer la donnée brute en insights métier
• Participer à la roadmap technique et scientifique sur 3, 6 et 12 mois, principalement autour des sujets IA et Data Engineering
• Manipuler les données via Python, SQL, PySpark, dans un environnement cloud (préférence AWS mais GCP/Azure possible)
• Construire et alimenter des dashboards avec des outils de data visualisation adaptés

VOTRE PROFIL

• 3 à 6 ans d’expérience en Data Engineering / Data Science
• Vous avez déjà travaillé dans un environnement startup ou scale-up, avec une forte autonomie et un esprit de construction
• Expérience en structuration d’un pôle data ou mise en place de pipelines from scratch appréciée
• Langages & outils : Python, Power BI ou Tableau (must have)
• Outils statistiques : SAS (must have), SPSS (nice to have)
• Cloud : AWS
• Français courant
• Diplômé(e) d’une école d’ingénieur ou grande école

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Senior Data Scientist – Fintech

$170,000-$190,000 + bonus + benefits

Remote

About the Organization

Join a global financial services 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, LLM, 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 model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 5+ years of data scientist (modeling) experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Experience with LLMs and agents
• Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

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 | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

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LEAD DATA SCIENTIST

HYBRIDE – UP TO 80K€ FIXES

Python – Docker – 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 structuration des pratiques de Data Science. Vos missions seront les suivantes :

• Développer et déployer des modèles de Machine Learning pour répondre aux besoins métiers
• Assurer la maintenance évolutive des modèles
• Définir et mettre en oeuvre les méthodologies de Data Science
• Être orienté business et résultat

VOTRE PROFIL

• Bac+5 au sein d’une école d’ingénieur ou université en mathématiques, statistiques ou probabilités
• Minimum 4 ans d’expérience sur un rôle de data science dans des environnements en production
• Solide maîtrise de Python, Docker et un cloud public
• 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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Job Title: Generative AI Specialist (Finance Sector – Prompt Engineering)

Location: Amsterdam

Employment Type: Full-time

Department: AI & Innovation – Financial Services

About Us

They are a leading financial institution at the forefront of AI-driven innovation, reshaping how data and technology power decision-making in capital markets, banking, and financial services. The AI team is driving the integration of generative AI and large language models into core business functions-from risk analysis to client interaction. We’re now seeking a Generative AI Specialist with a strong background in prompt engineering to join our growing team.

Role Overview

As a Generative AI Specialist, you will design, develop, and optimize prompt engineering strategies for large language models (LLMs) and other generative tools to automate and enhance financial services workflows. Your work will directly influence trading strategies, reporting automation, regulatory compliance, and client engagement through cutting-edge AI solutions.

Key Responsibilities

• Design and refine prompts for LLMs (e.g., GPT-4, Claude, Mistral) to deliver high-accuracy outputs for financial tasks (e.g., risk summaries, investment analysis, regulatory reports).
• Collaborate with quant teams, data scientists, and engineers to deploy generative AI across front-office, middle-office, and back-office functions.
• Build prompt libraries and reusable AI components that ensure consistency, security, and performance.
• Perform prompt evaluations, A/B testing, and iterative tuning to improve reliability and reduce hallucination risks.
• Stay current with the latest generative AI research and its applications to financial modeling, compliance, and customer engagement.
• Contribute to the development of AI policy, governance, and ethical frameworks in line with regulatory standards (e.g., FINRA, FCA, SEC).

What They’re Looking For

• Proven experience with prompt engineering and working with foundation models (GPT-3.5/4, Claude, LLaMA, etc.).
• Solid understanding of financial markets, instruments, and regulatory frameworks.
• Strong Python skills, including experience with AI/ML libraries (LangChain, OpenAI API, Hugging Face, etc.).
• Ability to translate business needs into technical AI applications and prompt strategies.
• Excellent analytical, problem-solving, and communication skills.
• Familiarity with data privacy, model interpretability, and AI governance is a plus.
• Dutch speaking.

Preferred Qualifications

• Degree in Computer Science, Finance, Data Science, or a related field.
• 1+ years of experience working in finance, fintech, or enterprise AI environments.
• Experience integrating LLMs into enterprise platforms or workflows (e.g., through APIs, plugins, internal tools).

Why Join?

• Be part of a pioneering AI team inside one of the world’s most respected financial institutions.
• Work on high-impact, real-world applications of generative AI in a heavily data-driven domain.
• Competitive compensation and benefits, with opportunities for career growth and leadership.
• Access to state-of-the-art tools, infrastructure, and professional development in a supportive, innovative culture.

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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 Scientist

Reading – Hybrid

Up to £70,000

About the Role

I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team.

This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale.

The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation.

Key Responsibilities

• Optimise existing yield and matching models for better consistency and forecasting performance.
• Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements.
• Build and deploy scalable data science solutions that drive measurable business impact.
• Collaborate with developers and commercial leads to implement models into production systems.
• Present insights in a clear, impactful way to senior non-technical stakeholders.
• Own the full data science project lifecycle – from hypothesis to production and iteration.
• Support scenario planning and forecasting for commercial strategy.

What They’re Looking For

• Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance.
• Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI.
• Familiarity with cloud platforms such as AWS, Redshift, or Azure.
• Strong grasp of forecasting, optimisation, and statistical modelling techniques.
• Confident communicator who can translate technical outputs into business recomme
• ndations.
• Comfortable working in agile, iterative environments with cross-functional teams.

**Please note: Unfortunately, this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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Data Scientist

Up to £80,000

London (Hybrid)

Company:

They are an AI-driven climate risk analytics platform that partners with businesses within Insurance, Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change.

Responsibilities:

• Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities.
• Calibrate and validate loss models against a wide variety of data sources, both qualitatively and quantitatively to ensure they meet rigorous scientific standards.
• Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies
• Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• 3+ years of experience in a Data Science, Data Analysis, or related role
• Strong hands-on experience with Python and SQL
• Excellent communication skills and stakeholder engagement ability

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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