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Director of Data Science – Audit & Regulatory

Location: 2-3 days/week hybrid in New York, New York

Compensation: $250,000 – $275,000 base salary + bonus + equity

ABOUT THE COMPANY

We are partnered with a high-growth financial services company at the intersection of AI, tax, 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 for tax, compliance and auditing projects. 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:

• Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.

• Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.

• Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.

• Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.

• Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.

• Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.

• Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.

• Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.

• Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.

• Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
• Comfortable leading teams of 15+ data scientists and machine learning engineers
• 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 tax, compliance and/or audit domain experience.
• Comfortable with regulatory compliance processes, risk management, data privacy.
• Familiarity with the SEC, FCA and FINRA preferred
• 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: $250,000 – $275,000 base + bonus + tangible equity.
• Hybrid Work Culture: 2-3 days/week in office in New York.
• 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 | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance

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VP PRODUCT MANAGEMENT

REMOTE

UP TO £350K

One of the largest and most trusted names in their specialised area in the Financial Services.

The Role

This is a new role to the company that would be responsible for organising the small product function, leading the front-end product organisation. This includes everything in the product lifecycle from lead generation, digital conversion to client enrolment.

• Strategy + Execution for our digital sales funnel and martech products
• Lead management of scoring, routing, segmentation, engagement (chat, SMS, etc.)
• Modern Martech transformation – including CDP implementation
• Untangling legacy systems and replacing process-driven bloat with crisp product thinking
• Leading a team (starting at 3-4 PMs and growing to 6-12 over time)
• Cross-functional alignment with Engineering, Data, Design, CX, Legal, and Marketing
• Driving clarity and prioritization in a high-context, fast-moving org
• Partnering directly with founders and execs to shape strategy at the top

Your Skills & Experience

To be successful in this role you need to come from more of a start-up, smaller company dynamic.

• 15+ years in product, 5+ years in executive product leadership roles
• Track record in fintech, financial services, rewards, or adjacent spaces
• Hands-on and scrappy – you’ve done the work and led the teams
• Fluent in Salesforce (platform design, development, integration)
• Deep Martech chops – CDPs, segmentation, sales enablement, engagement tools
• Strong data intuition – SQL or SOQL is a plus
• UX-aware and design fluent
• Strong communicator, capable of influencing execs and stakeholders with clarity

To Apply for this Job Click Here

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VP of Product Management

$320,000 – $350,000 + Bonus
Hybrid – New York City
Fintech | Martech | Salesforce | Growth Leadership

THE COMPANY

This is a high-impact opportunity to join one of the nation’s leading financial services companies as they undergo a major digital transformation. With a mission to help Americans regain financial independence, this organization is building sophisticated front-end platforms to drive intelligent acquisition, streamline enrollment, and power personalized engagement at scale.

You’ll join a dynamic, mission-driven team that combines the pace of a startup with the backing of a high-growth, established business.

THE ROLE

As VP of Product Management, you’ll take full ownership of the front-end product landscape-leading all sales, martech, and digital acquisition initiatives. Reporting directly to the COO, you’ll be the executive driving structure, clarity, and innovation across a product org that is ripe for transformation.

You’ll roll up your sleeves, challenge outdated processes, implement scalable solutions, and bring a fresh, strategic perspective to a high-growth team. This is a rare opportunity to shape the customer journey from first click through to enrollment.

RESPONSIBILITIES

• Define and execute the front-end product strategy: lead scoring, routing, segmentation, and conversion optimization

• Build and scale a high-performing product team (mix of ICs, managers, directors)

• Oversee implementation of Martech infrastructure (including CDP rollout)

• Collaborate cross-functionally with Sales, Engineering, Data, Legal, and Marketing

• Act as a thought partner to founders and executive leadership

• Champion modern product best practices in a homegrown, fast-moving environment

YOUR EXPERIENCE

• 15+ years in product management, 5+ at a senior leadership level

• Deep Salesforce experience (development, solutioning, integrations)

• Proven success in fintech, financial services, rewards, or similar consumer finance industries

• Background in building Martech and sales enablement tools

• Experience in scrappy, high-growth environments – able to move fast and lead from the front

• Comfortable navigating ambiguity, rolling up sleeves, and influencing stakeholders at all levels

THE BENEFITS

• $320,000 – $350,000 base salary

• Annual performance-based bonus

• Hybrid model – 3 days/week in NYC office

• Work closely with founders and executive team

• Lead a full-stack digital transformation

• Shape the future of a customer-centric fintech powerhouse

Interested in learning more?
Apply now or contact Oisín Ennis at Harnham for a confidential conversation.

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Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

To Apply for this Job Click Here

To Apply for this Job Click Here

Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Machine Learning Engineer – Recommendation & Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: $600,000 – $1,500,000 total package

(Base Salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

Join a hyper-growth global e-commerce innovator that’s reshaping how businesses deliver real-time, personalized experiences at the point of purchase. Leveraging cutting-edge AI and ML at massive scale, this organization is building the future of intelligent commerce-and you could be a key part of it.

With explosive growth, a high-caliber team, and a tech-first culture, this is a unique opportunity to drive meaningful impact in a fast-paced, data-driven environment.

THE ROLE

As a Principal Machine Learning Engineer, you’ll drive the design and deployment of large-scale, intelligent decision-making systems. From personalized recommendations to smart bidding and real-time optimization, your work will directly influence millions of transactions and customer experiences daily.

You’ll collaborate closely with product and engineering partners to build ML solutions that are both cutting-edge and production-ready.

Key Focus Areas:

• Smart bidding and budget pacing algorithms
• Real-time recommendation engines
• Lookalike modeling and customer targeting
• CTR/CVR modeling and conversion optimization

Responsibilities:

• Architect and deploy end-to-end ML solutions at scale
• Develop robust data pipelines, feature stores, and orchestration frameworks
• Build high-performance, production-grade ML models (batch & real-time)
• Lead experimentation (offline & online), including A/B testing and model tuning
• Drive engineering excellence with well-tested, maintainable, scalable code
• Mentor team members and contribute to a culture of technical growth

YOUR SKILLS & EXPERIENCE

• PhD or Master’s degree in Machine Learning, Computer Science, or a related field
• 10+ years of hands-on experience building production ML systems at scale
• Expertise in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow, Airflow)
• Deep knowledge of at least two of the following:
• Bayesian methods
• Recommender systems
• Multi-task or meta-learning
• CTR/CVR prediction models

Bonus: Experience with advanced model architectures like Deep & Cross Network v2, Multi-gate Mixture-of-Experts, or Deep & Wide Networks.

BENEFITS

• Significant equity in a high-growth tech company
• Premium, fully covered health insurance (you + family)
• 401(k) with 4% dollar-for-dollar match
• Catered lunches and daily snacks
• Global travel opportunities
• Inclusive, collaborative culture with a strong focus on innovation, diversity, and impact

✅ HOW TO APPLY

Ready to solve real-world problems at scale and push the boundaries of applied machine learning? Apply now to speak with one of our specialist recruiters and learn more about this high-impact opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Machine Learning Engineer – Recommendation / Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: Total package between $600,000 – $1,500,000

(Base salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you’ll play a critical role in shaping the next generation of intelligent decision-making systems. You’ll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

• Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
• Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
• Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
• Explore and prototype state-of-the-art models, conducting both offline and online experiments.
• Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

• PhD or Master’s in Machine Learning or a related field
• 10+ years of industry experience building end-to-end production ML systems
• Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
• Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
• Bonus: Familiarity with architectures such as Deep & Cross Network v2, Multi-gate Mixture-of-Experts, Deep & Wide

BENEFITS

• Equity in a high-growth business
• Premium, fully covered health insurance for you and your family
• 401(k) with 4% dollar-for-dollar match
• Catered lunch and snacks daily
• Global travel opportunities
• Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you’re a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

To Apply for this Job Click Here

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Senior Multimodal Engineer (Visual Language Model & Object Detection)

REMOTE – US

$200,000 – $250,000 + Equity + Benefits

Are you passionate about building cutting-edge AI solutions that solve real-world challenges? A rapidly scaling Series A startup is looking for a Senior Computer Vision Engineer to join their elite engineering team and transform one of the world’s oldest and most foundational industries!

Backed by top-tier VCs and already working with Fortune 500 clients, this is a rare opportunity to join a technically ambitious and mission-driven company at a critical stage of growth. With a team of experts they’re combining advanced ML, computer vision, and multi-modal AI to automate some of the most complex and manual workflows in the construction world.

THE COMPANY

This AI startup is pioneering intelligent automation across the construction lifecycle-from blueprint analysis to jobsite monitoring leveraging computer vision to bring previously untapped data to life. With $30M in funding and a growing team of 50+ employees, including 20+ engineers, they’re launching a suite of AI agents that tackle challenges in:

• Image understanding
• Document intelligence
• Visual Q&A
• Multi-modal reasoning

They’re reimagining how visual and spatial data is used on-site and across operations, using AI to drive accuracy, speed, and cost efficiency.

THE ROLE

As a Senior Computer Vision Engineer, you’ll take ownership of designing, building, and deploying CV models that process and interpret a wide range of visual data.

You’ll be instrumental in shaping the company’s AI roadmap and embedding sophisticated visual understanding into production-ready tools used by field and office teams alike.

You will:

• Develop, train, and deploy CV models for object detection, image classification, segmentation, and more
• Design scalable ML pipelines to support model training, evaluation, and integration
• Work with proprietary datasets and define efficient labeling strategies to improve model performance
• Collaborate cross-functionally with ML, backend, and product teams to build user-centric solutions
• Apply state-of-the-art CV research, including visual transformers and multi-modal learning techniques, to production use cases
• Stay up to date with innovations in LLMs, RAG pipelines, and vision-language models, contributing where appropriate

YOUR SKILLS & EXPERIENCE

We’re looking for a CV engineer who brings both depth in technical knowledge and a builder’s mindset.

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Robotics, or a related field
• 5+ years of experience building and deploying computer vision systems in production
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV
• Deep understanding of image processing, feature extraction, and model evaluation techniques
• Hands-on experience with transformer-based CV models (e.g., ViT, DINO, SAM) and/or multi-modal architectures

Bonus skills:

• Exposure to LLM-based systems or Retrieval-Augmented Generation (RAG) pipelines
• Experience working with blueprints, schematics, or construction-specific datasets

BENEFITS & CULTURE

• Highly competitive salary ($200K-$250K) + meaningful equity package
• Fully remote flexibility across the US, with optional hybrid setups in NYC
• Comprehensive health benefits, medical, dental, vision (100% covered plan available)
• Unlimited PTO to support work-life balance
• Annual learning & development budget to fuel your growth
• Frequent team offsites, meetups, and daily in-office lunches (NYC)
• Work with an exceptionally talented and collaborative team solving challenging technical problems

READY TO APPLY?

If you’re excited about shaping the future of AI-driven automation in construction, we want to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data Science – Tax & Compliance

Location: 2-3 days/week hybrid in New York, New York

Compensation: $300,000 – $350,000 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 for tax, compliance and auditing projects. 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:

• Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.

• Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.

• Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.

• Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.

• Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.

• Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.

• Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.

• Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.

• Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.

• Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.

YOUR SKILLS AND EXPERIENCE

Required Qualifications:

• 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
• Comfortable leading teams of 15+ data scientists and machine learning engineers
• 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 tax, compliance and/or audit domain experience.
• Comfortable with regulatory compliance processes, risk management, data privacy.
• Familiarity with the SEC, FCA and FINRA preferred
• 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 – $350,000 base + bonus + tangible equity.
• Hybrid Work Culture: 2-3 days/week in office in New York.
• 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 | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal AI Scientist – AdTech

New York, New York – 4 days onsite

$350,000 – $400,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

• Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience scaling out MLE teams as tech lead or manager preferred.

• Commercial experience combination of big tech and scaling startups a plus.

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

To Apply for this Job Click Here