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Senior Manager, Data & Analytics – DTC

Location: US Remote Eligible (travel required)

Salary:$180-220K base + bonus + equity

The Opportunity

A high-growth, vertically integrated DTC brand is hiring its first Senior Manager of Data & Analytics to architect and lead the company’s data strategy from the ground up. Following a period of explosive, triple-digit revenue growth and with full control over manufacturing, fulfillment, and customer experience, the company is now ready to make data a foundational pillar of scale.

Reporting directly to the CEO, you’ll step into a pivotal, hands-on leadership role-owning everything from data architecture and infrastructure to analytics strategy, roadmap execution, and team development. You’ll build the systems and insights that power smarter decisions across marketing, supply chain, logistics, and digital experience.

This is a rare opportunity to take a blank slate and build a high-impact data function with executive backing, tangible influence, and end-to-end ownership.

What You’ll Do

• Own and execute the data vision: Evaluate the current state, define the roadmap, and implement scalable data infrastructure (Postgres, dbt, Fivetran, Omni).
• Lead from the front: Operate as a player-coach-balancing individual technical contribution with people leadership and cross-functional influence.
• Build and scale a high-impact team: Recruit and mentor data engineers, analysts, and data scientists as the function grows from 1-2 to 6-8 over time.
• Drive actionable insights: Deliver dashboards, models, and analytics that unlock better outcomes across the customer lifecycle, supply chain, and financial ops.
• Set the bar for excellence: Establish best practices in KPI design, instrumentation, experimentation, data governance, and measurement strategy.
• Collaborate cross-functionally: Partner with senior leaders across Product, Marketing, Ops, and Engineering to ensure data becomes a competitive edge.

Use Cases You’ll Own

• Multi-touch attribution, CAC optimization, and customer segmentation
• LTV and churn modeling for better retention and personalization
• Demand forecasting to optimize production and reduce inventory risk
• Factory analytics to track throughput, cycle times, and downtime
• Logistics and fulfillment insights to improve delivery efficiency
• Customer journey analysis to enhance conversion and engagement
• Product feedback loops using return rates, support tickets, and reviews

What We’re Looking For

• 7-10+ years of experience in data, analytics, or BI roles, with a track record of leadership-preferably in high-growth DTC, ecommerce, or consumer product environments.
• Proven success building a data function from the ground up-including architecture, tooling, team structure, and process implementation.
• Strong technical proficiency in SQL and Python, with a hands-on ability to build pipelines, deliver insights, and support scalable analytics solutions.
• Fluency with the modern data stack, including platforms such as dbt, Fivetran, Omni, or comparable tools.
• Thrives in fast-moving, ambiguous settings, with a bias for action and comfort making decisions without perfect information.
• Demonstrated leadership and mentorship experience, including hiring, coaching, and managing performance for technical talent.
• Willingness to travel regularly to the company’s HQ during onboarding (first 4-6 months) and periodically thereafter as needed.

Why This Role

• Greenfield Ownership: Build the function the right way-from tools and models to team and roadmap.
• Executive Visibility: Direct line to the CEO and meaningful influence on company direction.
• High-Growth Environment: Be part of a company scaling fast with clear demand for data maturity.
• Purpose-Driven Culture: Join a team passionate about product, performance, and customer happiness.

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VP of Marketing Analytics

Remote – US-based EST

$220,000-$240,000 base + bonus

FinTech – Consumer

A leading digital consumer brand is hiring a Vice President of Marketing Analytics to drive strategic insights across high-volume, multi-channel acquisition campaigns. This role sits at the heart of data-led marketing performance and will lead a team that transforms marketing investment decisions with cutting-edge analytics, experimentation, and attribution modelling.

This is a rare opportunity to step into a high-impact leadership position with full ownership over analytics strategy, tooling, and stakeholder influence across Marketing, Product, and Finance functions.

THE ROLE

As the VP of Marketing Analytics, you will:

• Own and deliver the end-to-end marketing analytics roadmap, aligning with wider commercial and growth objectives.

• Lead a high-performing analytics function, setting best-in-class standards across attribution, media mix modelling, and lead scoring.

• Build out robust forecasting and performance dashboards (Salesforce/Tableau CRM) to optimise ROI across Paid Search, Social, TV, Affiliates, Direct Mail, and more.

• Partner closely with senior leadership to shape strategic decisions through data storytelling and experimentation.

• Drive the evolution of analytics infrastructure including automation, real-time reporting, and data governance.

• Work cross-functionally with Data Science to embed predictive modelling and machine learning into prospect targeting and segmentation.

• Promote a culture of data-driven marketing across the organisation, embedding best practices in testing, analytics ops, and measurement.

YOUR EXPERIENCE

• 10+ years in marketing analytics roles with at least 3 years in senior/executive leadership positions.

• Proven track record influencing C-suite and non-technical stakeholders with commercial insight.

• Expertise in attribution (MTA, MMM), A/B testing, predictive modelling, and campaign analysis.

• Strong SQL and dashboarding skills (e.g. Tableau, Looker, or similar BI tools).

• Deep understanding of data infrastructure, ETL pipelines, and analytics automation.

• Exposure to web analytics platforms (Google Analytics, Mixpanel, etc.).

• Advanced Excel modelling and comfort in high-volume data environments.

THE PACKAGE

• Base salary: $220,000-$240,000 (dependent on location and experience)

• Bonus + competitive benefits

• Remote-first, US-based position, EST Timezone

• Strategic ownership and executive visibility in a scaling, data-first business

Interested in a VP-level role that blends strategic impact with deep analytics?
Click Easy Apply or message me directly to explore this further.

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AI Engineer

Location: New York

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

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there’s a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full 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.

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Technical Product Manager (AI / B2B SaaS)

Location: New York, NY (On-Site)

Compensation: $180,000-$200,000 base + bonus + equity

We’re working with a venture-backed startup building AI agents that support critical workflows in a high-trust, process-heavy industry. Their technology is already in use at major professional services firms, with plans to expand deeper into audit, compliance, and financial reporting.

With strong product-market fit and engineering investment underway, they’re looking for a hands-on Technical Product Manager to help shape and scale their core platform.

About the Role

This is a zero-to-one product role, ideal for someone who enjoys building technical products in fast-moving environments. You’ll work cross-functionally with engineers, designers, and domain experts to design and deliver tools that drive real operational impact.

This role requires someone who’s both deeply technical and highly user-oriented-able to bridge product vision with engineering execution.

Responsibilities

• Lead the development of AI-powered tools for specialized, complex workflows
• Define product specs and roadmap in partnership with cross-functional teams
• Translate user needs into detailed technical requirements
• Build user empathy through direct engagement and rapid feedback loops
• Prioritize initiatives and make architectural tradeoffs in collaboration with engineering

What They’re Looking For

• 4-8+ years of product management experience in a technical or startup environment
• Strong technical fluency; able to contribute meaningfully to architectural discussions
• Experience bringing products from 0 to 1
• Fast learner with a first-principles mindset and strong user intuition
• Bonus: background in AI/ML, developer tools, compliance, or financial systems

Why This Opportunity?

• Work on hard, meaningful problems in an underserved but essential industry
• Collaborate with a high-caliber team of technologists and domain experts
• Influence core product strategy and direction
• Be part of a company with strong momentum and long-term vision

If you’re interested in exploring this opportunity, I’d love to share more. Reach out to learn more about the company, team, and hiring process by contacting Gabriella Ferrara or applying at the link below.

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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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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.

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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

To Apply for this Job Click Here

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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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Head of Engineering (AI)

Location: New York, NY (Remote Flex – East Coast Hours Preferred)

Boutique AI Innovation Consultancy

$230,000-$300,000 base + 20/25% discretionary bonus

Shape the Future of Applied AI

We’re partnering with a fast-growing boutique consultancy that’s transforming how enterprise organizations envision, design, and deploy real-world AI solutions. With a footprint across North America and Europe, they work with some of the world’s most recognizable brands to turn strategic ambitions into scalable, production-ready systems.

This isn’t a research lab-it’s where cutting-edge AI meets real-world impact.

The Role

As the Head of Engineering (AI), you’ll be the first senior technical hire in the U.S., reporting directly to the Founder/CEO and NYC-based Managing Director. You’ll have near-complete autonomy to define the tech stack, establish engineering best practices, and build a lean, high-impact team from the ground up.

You’ll lead the development of AI-enabled software systems, guide enterprise client engagements, and play a key role in shaping the delivery model at the intersection of software, AI, and business transformation. With three immediate hires approved (Software Engineering + AI), you’ll have the opportunity to recruit and mentor a high-caliber team.

Key Responsibilities

• Architect full-stack, production-ready platforms across backend, frontend, and AI infrastructure
• Build and lead the development of LLM-based applications and internal AI tools
• Establish CI/CD pipelines, testing protocols, documentation standards, and engineering workflows
• Design and manage scalable cloud environments (local, staging, production)
• Implement and oversee AI infrastructure for prompt engineering, vector search, embeddings, and RAG
• Recruit, mentor, and scale a technical team spanning software, AI, and data
• Lead agile delivery on enterprise client projects in a consulting environment
• Collaborate closely with strategy, product, and AI leads to scope and ship impactful solutions
• Represent engineering in client-facing engagements with credibility and clear communication

What We’re Looking For

• Proven experience in software engineering, including leading teams or managing projects
• Strong backend or full-stack background (Python preferred)
• Demonstrated success building AI/ML systems from the ground up in production environments
• Expertise in modern cloud infrastructure (AWS, GCP, or Azure) and DevOps (Docker, CI/CD, etc.)
• Familiarity with LLM ecosystems (OpenAI, Hugging Face), LangChain, and Retrieval-Augmented Generation
• Consulting or client-facing experience, ideally within boutique or hybrid consulting models
• Strong coding ability combined with growing leadership and managerial capabilities
• Bachelor’s or advanced degree in Computer Science, Machine Learning, or a related field
• A builder’s mindset: collaborative, execution-oriented, and focused on elegant, practical solutions

Why Join?

• Be the founding U.S. Head of Engineering for a high-growth AI consultancy
• Define the technology vision and delivery model from scratch
• Collaborate with world-class strategy, product, and AI experts
• Flexible remote work setup with East Coast alignment
• Competitive comp + bonus + long-term leadership potential

Ready to build what’s next in AI?

Apply with your resume today – we’re moving quickly for the right candidate.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Staff Machine Learning Engineer

Remote

Up to $350,000 + Equity

Company:

A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.

The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.

Role:

• Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
• Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
• Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
• Lead experimentation and model evaluation in a fast-paced, data-rich environment.
• Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
• Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
• Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.

Requirements:

• MSc or PhD in a STEM field.
• Proven experience building and deploying machine learning systems in a commercial setting.
• Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
• Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
• DevOps knowledge including CI/CD best practices and production model monitoring.
• Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
• Strong collaboration and communication skills, with a product-oriented mindset.
• A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.

Salary and Benefits:

• $300,000 – $350,000 base salary
• Meaningful Equity & Financial Upside
• Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)

How to Apply:

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

Desired Skills and Experience:

Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS

To Apply for this Job Click Here