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Director of Data Science

LOCATION: Remote (US-based)

SALARY: $190,000 – $215,000 + bonus

INDUSTRY: FinTech / Consumer Services

Are you a visionary data science leader with a passion for delivering real business impact? A high-growth, mission-driven consumer services organization is looking for a Director of Data Science to lead and scale their machine learning practice. This is a unique opportunity to drive enterprise-level value through operationalized AI while partnering with senior leadership to influence strategy.

THE COMPANY

This organization is a well-established player in the financial services space, serving millions of consumers with a mission to create better financial outcomes. With a fast-evolving data function and strong executive buy-in, they’re investing heavily in AI/ML to transform decision-making, automate key workflows, and unlock new product capabilities.

THE ROLE

As Director of Data Science, you’ll lead a high-performing team of data scientists and a product manager, owning the end-to-end lifecycle of machine learning models-from ideation to production. You’ll work cross-functionally with engineering, product, and operations teams to scope high-ROI initiatives and ensure scalable, ethical deployment of models via batch inference and real-time APIs.

This is a highly visible role reporting to executive leadership, offering autonomy, strategic influence, and the opportunity to shape the future of AI across the business.

KEY RESPONSIBILITIES:

• Lead, mentor, and grow a team focused on building production-grade ML models aligned with business goals.
• Drive the discovery, prioritization, and ROI evaluation of new data science initiatives.
• Architect and oversee the full ML lifecycle-development, deployment, monitoring, and retraining.
• Collaborate with data engineering and MLOps teams to ensure scalable and reliable pipelines using Snowflake, DataRobot, and real-time APIs.
• Champion best practices in model governance, explainability, and responsible AI.
• Present insights and strategy recommendations to executive stakeholders in a compelling, accessible manner.

YOUR SKILLS & EXPERIENCE

Required:

• 10+ years in data science or machine learning, with 2+ years in a formal leadership or player-coach role.
• Strong expertise in Python and SQL, with deep understanding of supervised and unsupervised learning.
• Proven experience deploying and monitoring ML models in production environments (batch and real-time).
• Track record of cross-functional collaboration with engineering, product, and business leaders.
• Familiarity with model deployment platforms like DataRobot, Sagemaker, or similar.
• Experience with Snowflake-native ML or integrated MLOps workflows.
• Strong communication skills and business acumen-able to influence at the executive level.

Nice to Have:

• Background in financial services, lending, or high-volume consumer products.
• Exposure to prescriptive analytics and optimization techniques.

BENEFITS

• Competitive compensation and equity
• Fully remote flexibility
• Comprehensive benefits package
• High-visibility role with executive sponsorship
• Opportunity to build a cutting-edge ML function from the ground up

HOW TO APPLY

Please send your CV to Gabriella Ferrara at Harnham to learn more about this exciting opportunity.

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MLOPS ENGINEER
PARIS (75)
60-65k€

PYTHON – DOCKER – AWS – GPU

Venez rejoindre cette start-up Saas IA pour un rôle de MLOps engineer.

VOTRE RÔLE

Vous serez en charge de :

• Évoluer et maintenir l’infrastructure ML
• Accélérer et soutenir la recherche
• Améliorer les pipelines ML et les performances de prédiction des modèles
• Assurer des opérations fiables
• Surveiller les coûts et les performances du système

VOTRE PROFIL

• Au moins une première expérience sur un rôle similaire
• Maîtrise de Python et docker obligatoire
• Connaissance d’un cloud public idéalement AWS
• C’est un plus si vous avez travaillé sur des GPU
• Top école d’ingénieur
• Basé à Paris

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Director Data Science

Remote

Up to $215k

A primary financial services company focused on leveraging advanced technology, predictive analytics and data science to enhance customer experience and drive better financial outcomes.

The Role

This role is key for driving model development in the company, focused on developing predictive and prescriptive models for business impact within marketing, sales and operations.

• Lead the data science function, delivering on a roadmap of 10-12 production models annually across key business domains.
• Drive full model lifecycle: ideation, prototyping, stakeholder alignment, and delivery into production (in partnership with MLOps/engineering).
• Contribute 50% of your time to hands-on tasks, including writing and reviewing Python and SQL code, developing models, and performing exploratory analysis.
• Manage and grow a small but scaling team: currently 2 ICs (senior and regular DS), Data PM, and a dotted line to MLE.
• Collaborate with product managers, stakeholders, and technical teams to prioritize high-impact use cases.
• Provide technical mentorship and ensure model development meets standards for quality and performance.
• Participate in hiring and team development, including building a diverse, high-performing data team.

Your Skills and Experience:

• 6-12 years of experience in data science, with at least 2 years in a management or technical leadership role.
• Demonstrated experience building and delivering production-grade models (e.g., regression, clustering, time series forecasting, classification models).
• Proficient in Python and SQL for model development and analysis.
• Experience working in cross-functional teams with MLOps, Data Engineering, and Product Management.
• Strong business acumen; able to align technical solutions with business needs and communicate value to stakeholders.
• Comfortable working in small-to-mid-sized companies (a few hundred to a few thousand employees).
• Proven ability to work in a remote, distributed team environment.

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Head of Data Science

LOCATION: Remote (US-based)
SALARY: $190,000 – $215,000 + Bonus + Equity
INDUSTRY: FinTech / Consumer Services

Are you a visionary data science leader with a passion for delivering real business impact? A high-growth, mission-driven consumer services organization is looking for a Head of Data Science to lead and scale their machine learning practice. This is a unique opportunity to drive enterprise-level value through operationalized AI while partnering with senior leadership to influence strategy.

THE COMPANY

This organization is a well-established player in the financial services space, serving millions of consumers with a mission to create better financial outcomes. With a fast-evolving data function and strong executive buy-in, they’re investing heavily in AI/ML to transform decision-making, automate key workflows, and unlock new product capabilities.

THE ROLE

As Head of Data Science, you’ll lead a high-performing team of data scientists and a product manager, owning the end-to-end lifecycle of machine learning models-from ideation to production. You’ll work cross-functionally with engineering, product, and operations teams to scope high-ROI initiatives and ensure scalable, ethical deployment of models via batch inference and real-time APIs.

This is a highly visible role reporting to executive leadership, offering autonomy, strategic influence, and the opportunity to shape the future of AI across the business.

KEY RESPONSIBILITIES:

• Lead, mentor, and grow a team focused on building production-grade ML models aligned with business goals.

• Drive the discovery, prioritization, and ROI evaluation of new data science initiatives.

• Architect and oversee the full ML lifecycle-development, deployment, monitoring, and retraining.

• Collaborate with data engineering and MLOps teams to ensure scalable and reliable pipelines using Snowflake, DataRobot, and real-time APIs.

• Champion best practices in model governance, explainability, and responsible AI.

• Present insights and strategy recommendations to executive stakeholders in a compelling, accessible manner.

YOUR SKILLS & EXPERIENCE

Required:

• 10+ years in data science or machine learning, with 2+ years in a formal leadership or player-coach role.

• Strong expertise in Python and SQL, with deep understanding of supervised and unsupervised learning.

• Proven experience deploying and monitoring ML models in production environments (batch and real-time).

• Track record of cross-functional collaboration with engineering, product, and business leaders.

• Familiarity with model deployment platforms like DataRobot, Sagemaker, or similar.

• Experience with Snowflake-native ML or integrated MLOps workflows.

• Strong communication skills and business acumen-able to influence at the executive level.

Nice to Have:

• Background in financial services, lending, or high-volume consumer products.

• Exposure to prescriptive analytics and optimization techniques.

BENEFITS

• Competitive compensation and equity

• Fully remote flexibility

• Comprehensive benefits package

• High-visibility role with executive sponsorship

• Opportunity to build a cutting-edge ML function from the ground up

HOW TO APPLY
Please send your CV to [Your Consultant’s Name] at Harnham to learn more about this exciting opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Machine Learning – NLP & LLMs

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

ABOUT THE COMPANY

We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, 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 Machine Learning 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 Machine Learning, 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).

• 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD preferred.

• Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.

THE BENEFITS

• Executive-Level Compensation: $300,000 – $325,000 base + bonus + equity potential.

• 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 | MLOps | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI

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Senior Machine Learning Engineer – NLP & LLMs (Mid-Level)

Location: Fully Remote

Compensation: $180,000 – $210,000 base salary + bonus + benefits

ABOUT THE COMPANY

We’re working with a cutting-edge financial services company transforming the legal space through advanced AI. Their mission: to make legal and financial workflows smarter, faster, and more cost-effective by leveraging the latest in natural language processing and machine learning. As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer (Mid-Level) to join their growing NLP/LLM team.

This is a great opportunity for someone with solid production-level ML experience who wants to take the next step-working closely with seasoned researchers, engineers, and product leaders to build next-generation AI systems in a high-impact domain.

THE ROLE

As a Machine Learning Engineer, you’ll contribute to the development, deployment, and optimization of NLP models and AI infrastructure. You’ll be responsible for translating cutting-edge research into scalable, production-ready systems and collaborating with teams across engineering, research, and product.

Key Responsibilities:

• Model Development & Integration: Work with senior engineers and researchers to develop and integrate LLMs and NLP models into customer-facing products.
• Production-Ready Code: Build and maintain model pipelines that are scalable, testable, and efficient.
• Data Engineering: Help design and manage data pipelines, labeling workflows, and model training datasets.
• Model Tuning & Evaluation: Assist in prompt engineering, fine-tuning, evaluation, and benchmarking of NLP models.
• Collaboration: Partner with applied scientists and product teams to deliver end-to-end features powered by machine learning.
• Learning & Growth: Expand your skills through mentorship and exposure to cutting-edge NLP/LLM work and tooling.

YOUR SKILLS AND EXPERIENCE

We’re looking for a motivated engineer with a strong foundation in machine learning and an eagerness to grow within a fast-moving team.

Required Qualifications:

• 3-5 years of professional experience building and deploying ML models (with at least 2 years focused on NLP).
• Proficient in Python and familiar with ML libraries like TensorFlow, PyTorch, spaCy, or Hugging Face Transformers.
• Experience with model training, evaluation, and deployment in cloud environments (e.g., AWS, GCP, or Azure).
• Comfortable working with large datasets, data preprocessing, and version control tools (e.g., Git, DVC).
• Knowledge of modern NLP concepts and language model architectures (e.g., BERT, GPT, T5).
• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s a plus).

Bonus Points For:

• Experience with MLOps tools (e.g., MLflow, Airflow, Kubernetes).
• Previous work with legal, financial, or highly regulated data.
• Contributions to open-source NLP tools or public research.

BENEFITS

• Competitive Compensation: $180,000 – $210,000 base + bonus.
• Flexible & Remote: Work from anywhere in the United States or Canada.
• Health & Wellness: Comprehensive medical, dental, vision, and 401(k).
• Professional Growth: Work alongside experienced engineers and researchers in a high-learning environment.
• Impact: Contribute to real-world AI products used by professionals in law and finance.

HOW TO APPLY

Send your resume to Tim Jonas via the Apply link on this page. We’re excited to meet engineers who want to build meaningful, AI-driven systems in a space that matters.

KEYWORDS:

Machine Learning | NLP | LLM | Deep Learning | Generative AI | Model Deployment | Python | PyTorch | TensorFlow | Hugging Face | Prompt Engineering | ML Pipelines | Legal Tech | Financial Services | AI Infrastructure | Mid-Level Engineer | Scalable AI Systems

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Staff Machine Learning Engineer – NLP & LLMs

Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + benefits

ABOUT THE COMPANY

We are partnered with a market leader in the legal and financial services industry, driving innovation through AI. This company is revolutionizing how professionals interact with data by integrating cutting-edge NLP and LLM technologies. As their platform scales, they are seeking a highly skilled Machine Learning Engineer to take the lead in developing, deploying, and optimizing advanced AI models that directly impact high-value, high-regulation environments.

This is an opportunity to build mission-critical systems from the ground up and work alongside some of the top minds in AI and law.

THE ROLE

As a Staff Machine Learning Engineer, you will work closely with researchers and the C-suite to design and implement robust machine learning infrastructure and end-to-end NLP/LLM pipelines. You will bridge the gap between experimentation and scalable deployment, contributing to the full lifecycle of AI products.

Your Responsibilities Will Include:

• Model Deployment & Scaling: Engineer and deploy large-scale NLP and LLM models for production environments.

• Infrastructure & Tooling: Build and maintain data pipelines, training workflows, and inference systems optimized for low-latency and high-accuracy.

• End-to-End Development: Take PoCs from research stage to production-grade systems, focusing on performance, reliability, and maintainability.

• Optimization: Improve existing model architectures and fine-tune LLMs using retrieval-augmented generation (RAG), prompt tuning, quantization, and efficient inference techniques.

• Collaboration: Partner with Applied Scientists, Legal SMEs, and Product Leaders to align technical solutions with business and user needs.

• Code Quality: Write clean, scalable, and well-documented code using industry best practices.

YOUR SKILLS AND EXPERIENCE

We are looking for an experienced and versatile Staff Machine Learning Engineer with the following qualifications:

• 5+ years of experience deploying NLP and ML models in production environments.

• Strong software engineering background in Python, with experience using frameworks like TensorFlow, PyTorch, spaCy, Hugging Face Transformers, and more.

• Demonstrated ability to scale models and build distributed training/inference systems.

• Experience working with large datasets and knowledge of data pipelines, MLOps tools (e.g., MLflow, Kubeflow, Airflow), and cloud infrastructure (AWS, GCP, or Azure).

• Deep understanding of NLP concepts and LLM architectures (BERT, GPT, T5, etc.).

• Comfortable working cross-functionally with researchers, product teams, and senior leadership.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (PhD a plus, but not required).

• Bonus: Contributions to open-source NLP projects or publications in applied ML conferences (NeurIPS, ACL, EMNLP, etc.)

BENEFITS

• Top-Tier Compensation: Base salary of $250,000 – $275,000 + annual bonus.

• Fully Remote: Work from anywhere in the United States.

• Ownership: End-to-end responsibility for the models and systems you help build.

• Health & Retirement: Comprehensive medical, dental, vision, and 401(k) plans.

• Research-Driven Culture: Collaborate with world-class researchers and engineers solving impactful real-world problems.

HOW TO APPLY

Interested applicants should submit their resume to Tim Jonas via the Apply link on this page. We look forward to seeing how your engineering skills can help shape the future of legal and financial AI systems.

KEYWORDS:
Machine Learning | ML Engineering | NLP | LLMs | Deep Learning | Large Language Models | MLOps | Python | PyTorch | Hugging Face | TensorFlow | Cloud Infrastructure | Distributed Systems | RAG | Prompt Engineering | AI Platforms | Legal Tech | Financial Services | Applied ML | Model Deployment

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Senior Data Scientist

Location: Remote-first (UK-based)
Salary: £70,000

The Company

A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy.

The Role

As a Senior Data Scientist within the Forecasting Algorithms team, you’ll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You’ll own the full development lifecycle-from modelling to deployment-while collaborating closely with science, product, and engineering stakeholders.

This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation.

Key Responsibilities:

• Design and deploy time series forecasting models with a strong focus on accuracy and scalability

• Improve existing model performance and drive innovation through new methodologies

• Develop internal ML and forecasting libraries using Python

• Translate product goals into technical solutions in collaboration with leadership

• Implement validation frameworks, unit tests, and monitoring pipelines

• Stay current with advances in machine learning and apply them where appropriate

Tech Stack:

• Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)

• Dagster, Argo, GCP

• Kibana, Elastic

• DevOps-first approach for model deployment

Skills & Experience:

Essential:

• Strong background in statistics, machine learning, and time series forecasting

• Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)

• Proficiency in writing production-level Python code

• Familiarity with CI/CD practices, testing, and model validation

• Confident working across teams and taking ownership of delivery

• Strong communication and problem-solving skills

Desirable:

• Experience in demand forecasting or operations research

• Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning

• Exposure to high-scale SaaS or B2C products

Why Apply?

• Build forecasting systems powering global commercial strategies

• Collaborate with a world-class data science team

• Up to £70,000 + equity in a high-growth AI company

• Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO

How to Apply

To apply, please send your CV to Daniel Abbasi via the Apply link on this page.

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Job Title: AI Engineer – Computer Vision & AI Specialist

Location: Amsterdam

Job Type: Full-time

About Them

This company are on a mission to redefine what’s possible with AI. They are building cutting-edge solutions that harness the power of artificial intelligence to solve real-world problems at scale.

They are a smalll but growing company who have won multiple awards and they are looking for an AI/Computer Vision specialist to support them on a new role in the team.

The Role

They are looking for a passionate AI Engineer with deep expertise in Computer Vision to join our growing R&D team.

You’ll be designing and developing intelligent vision-based systems that can perceive, understand, and make decisions-across diverse environments and datasets.

This is a hands-on engineering role, perfect for someone who loves solving hard problems with elegant algorithms and robust code.

What You’ll Do

• Design, build, and deploy computer vision models (object detection, classification, segmentation, tracking, etc.)
• Work with image, video, and sensor data across real-time and batch pipelines
• Develop and optimize deep learning architectures (CNNs, Transformers, GANs, etc.)
• Collaborate with cross-functional teams including data engineers, product managers, and ML ops
• Research and implement state-of-the-art techniques from academia and industry
• Continuously monitor and improve model performance in production
• Contribute to our AI platform infrastructure and help scale our solutions

What They Are Looking For

• Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV)
• Strong software engineering skills in Python and/or C++
• Solid understanding of neural networks, image processing, and machine learning fundamentals
• Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration
• Experience with production-grade AI/ML systems is a big plus
• Degree in Computer Science, AI, Mathematics, or a related field (Master’s or PhD preferred)
• Curiosity, creativity, and a love for solving complex challenges

Bonus Points For

• Experience with 3D vision, LiDAR, SLAM, or AR/VR
• Contributions to open-source CV or AI projects
• Experience with MLOps and model lifecycle management
• Publications or Kaggle competition wins

What They Offer

• Competitive salary + stock options
• Flexible remote-first work culture
• Learning budget for conferences, books, and courses
• Work with a team of passionate, world-class AI engineers and researchers
• Real impact on cutting-edge products used by thousands (or millions!) of people

To Apply for this Job Click Here

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Senior Data Platform Engineer

Location: Primarily Remote (1 day/month in-office)
Salary: £70,000 – 85,000

Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry.

About the Role:

Reporting directly to the Platform Engineering Manager, you’ll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform.

What You’ll Be Doing:

• Developing microservices that handle real-time data ingestion from APIs into the data warehouse
• Working with live-streaming data
• Writing clean, efficient Java code (Python is a bonus!)
• Enhancing and scaling the experimentation framework to support data science and ML operations
• Ensuring high-quality, accurate data delivery across data platforms
• Collaborating with analytics engineers and data scientists to enable fast insights
• Participating in a CI/CD pipeline to deliver high-velocity, production-ready systems

This Role Requires:

• Strong Java skills
• Experience with live-streaming technologies such as Kafka, Flink or Kinesis
• Solid understanding of event-driven architecture
• Experience with CI/CD practices and tools
• Familiarity with microservices and modern cloud-based platforms
• Exposure to MLOps and Kubernetes is a big plus
• Computer Science degree or equivalent practical experience

To Apply for this Job Click Here