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Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services

Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.

This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.

THE ROLE

As Lead AI Engineer, you will:

• Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.

• Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.

• Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.

• Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.

• Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.

YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

• 5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.

• A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.

• A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.

• Experience leading projects end-to-end, with mentorship or team-building experience.

• Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.

• Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.

• Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.

THE BENEFITS

• Competitive salary range of $200,000-220,000

• Performance-based bonus

• Comprehensive health and wellness benefits

• Better than market average retirement match

• Opportunity to build a strategic AI function from the ground up in a highly respected firm

• Supportive, forward-thinking leadership team invested in responsible innovation

HOW TO APPLY

If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.

Please submit your résumé to Tim Jonas using the “Apply” link on this page.

Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots

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OMNI-CHANNEL ANALYTICS PARTNER

Ontario, Canada

Remote

A leading pharmaceutical company is looking for two Brand Analytics Partners to join their Commercial Analytics function that will play a pivotal role in shaping brand strategy through robust data insights.

The Role:

As a Omni-Channel Analytics Partner, you’ll work closely with commercial and brand teams to drive evidence-based decision-making. You’ll be hands-on with data, building models and drawing insights that directly impact brand performance.

Key Responsibilities:

• Optimize omnichannel marketing strategy – determine the right mix of channels and messaging for HCPs and patients.
• Build models to drive marketing decisions: propensity models, segmentation, next-best-action, uplift models, and more.
• Develop and evaluate attribution models, A/B tests, test vs. control frameworks, and campaign response models.
• Perform data wrangling, feature engineering, and model development using large, raw datasets.
• Translate analytics into actionable commercial recommendations across brand, sales, and digital teams.
• Collaborate cross-functionally on strategic planning and execution.

Your Skills & Experience:

To succeed in this role, you’ll need:

• Strong background in data science, statistics, or a STEM field.
• Proficient in SQL and Python (R a plus) – hands-on with large datasets.
• Able to build, validate, and interpret complex models.
• Experience with commercial or omnichannel analytics in pharma, healthcare, or digital media.
• Familiarity with claims, field sales, or prescription data.
• Comfortable presenting data-driven insights to non-technical stakeholders.

Apply Below!

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WHAT YOU’LL DO

• Own customer deployments end-to-end: scoping, onboarding, integration, and support
• Deploy low-code solutions using APIs, webhooks, and integration tools like Postman
• Handle a demanding volume of customer interactions and configuration work
• Manage technical relationships with enterprise clients and internal engineering teams
• Translate customer needs into clear internal requests and product suggestions
• Operate in an environment of constant change and high urgency

WHAT THEY’RE LOOKING FOR

• 3-7+ years of experience in high-growth startups or similarly fast-paced environments
• Strong stakeholder and customer management skills
• Hands-on experience deploying software products (or the technical chops to ramp up fast)
• Familiarity with API tools and webhook integrations
• Background in engineering, solutions, or technical product roles
• Excellent communication and execution skills under pressure

SOFTWARE ENGINEERING | AMBITION | STAKEHOLDER ENGAGEMENT | API

DETAILS

• Location: Onsite 5 days/week in San Francisco
• Compensation: $120,000-$160,000 base salary
• Urgency: Team is hiring fast – several recent hires and more roles to fill

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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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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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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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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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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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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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