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Staff Data Scientist

Location: New York City (Hybrid)

Compensation: Up to $250,000 base + bonus + equity

Company Overview

A high-growth consumer fintech and e-commerce platform is building the credit infrastructure powering digital commerce in a large, underserved market. The business has reached profitability, processes hundreds of millions in annual transaction volume, and continues to scale rapidly with strong backing from top-tier investors.

The team is lean, highly technical, and composed of leaders from globally recognized technology and marketplace companies. This is an opportunity to join at a pivotal stage and directly influence core revenue-driving systems.

The Role

As a Staff Data Scientist, you will play a critical role in developing and deploying machine learning models that directly impact the company’s P&L. You’ll work across credit risk, pricing, and marketplace optimization problems, owning the full lifecycle from problem definition through to production.

This is a highly cross-functional role partnering with engineering, product, and leadership to drive data-informed decisions and scalable modeling solutions.

Key Responsibilities

• Build and deploy machine learning models for underwriting, credit risk, and portfolio optimization
• Develop pricing, ranking, and personalization algorithms to improve marketplace performance
• Apply causal inference and experimentation techniques to optimize decision-making
• Own projects end-to-end: from exploratory analysis and modeling through to production deployment
• Translate complex modeling outputs into clear business insights and recommendations
• Collaborate closely with engineering and product teams to operationalize models

Requirements

• 5+ years of experience in data science or machine learning in a production environment
• Strong foundation in statistical modeling and machine learning (e.g., classification, ensemble methods)
• Experience deploying models into production and iterating based on real-world performance
• Proficiency in Python and SQL
• Experience with experimentation, causal inference, or uplift modeling
• Strong problem-solving skills with the ability to operate in ambiguous, fast-paced environments

Preferred Background

• Advanced degree (PhD or Master’s) in a quantitative field such as Statistics, Mathematics, Economics, or Operations Research
• Experience in fintech, lending, or credit risk modeling
• Exposure to marketplace, pricing, or recommendation systems
• Familiarity with optimization techniques and constrained modeling problems

What Makes This Opportunity Unique

• Direct ownership of models that impact revenue and risk
• High visibility role working closely with senior leadership
• Fast-paced, startup environment with significant autonomy
• Opportunity to shape core data science strategy and systems

• If you’re excited by building high-impact machine learning systems in a fast-moving environment and want to see your work directly drive business outcomes, this is a unique opportunity to do so at scale.

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Senior AI Engineer
New York (in person)
Up to 200K base + bonus

I’m working on an exclusive search for a Senior AI Engineer to join a high‑calibre investment organization that is building an internal AI and data science capability from the ground up.This is a hands‑on, senior‑level engineering role with real ownership. You’ll sit close to decision‑makers and design production AI systems that directly influence how investments are sourced, evaluated, and monitored.

The opportunity

• Act as the technical lead for advanced AI and LLM‑driven systems used across investment workflows
• Own architecture and complex builds, including agentic workflows, RAG systems, and evaluation frameworks
• Lead development of high‑impact projects spanning research, diligence, portfolio monitoring, and knowledge management
• Set technical direction, review code, and mentor engineers while remaining fully hands‑on
• Partner closely with non‑technical stakeholders to translate AI capabilities into intuitive, high‑value tools
• Evaluate vendors, platforms, and infrastructure with clear build vs buy recommendations

Background they’re looking for

• 5+ years of software engineering experience, including 2+ years building production AI/ML or LLM‑based systems
• Strong Python fundamentals and experience with cloud infrastructure (AWS) and CI/CD
• Deep understanding of modern LLM patterns: embeddings, vector databases, prompt engineering, RAG, agentic systems, and evaluation
• Experience delivering end‑to‑end AI products, not just prototypes
• Comfortable leading technically in a small, high‑impact team
• Clear communicator who can work effectively with non‑technical partners
• Financial services experience is a plus, but curiosity about investment decision‑making is essential

Why this is compelling

• Rare chance to build AI platforms from scratch inside a decision‑driven environment
• Significant technical ownership and visibility at senior levels
• Small team with high expectations and real influence
• Competitive compensation and strong long‑term upside

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Senior Machine Learning Engineer – GenAI / Agentic AI
Location: United States (Hybrid)

$180,000 – £250,000 base salary + Bonus, RSUs

I am working with a world-leading global brand in financial services and technology, known for shaping markets and setting the standard for innovation for over a century. This firm operates at the highest levels of global finance and is investing heavily in advanced Machine Learning and Artificial Intelligence to transform how large-scale, mission-critical systems are managed.

The Team
You would join an elite ML/AI group within their enterprise technology division. This team applies cutting-edge ML and Generative AI to orchestrate intelligent agents that improve resilience, reduce operational risk, and drive efficiency across one of the most complex infrastructures in the industry. By combining classical ML with agentic AI, they are redefining production management at global scale.

The Role
As a Senior Machine Learning Engineer, you will design and deploy AI-driven agents capable of reasoning, diagnosing, and acting in production environments. This includes:

• Building tool-using AI agents with safety and compliance guardrails

• Productionizing LLMs with retrieval pipelines, evaluation frameworks, and response validation

• Integrating agentic AI into observability, deployment, and incident management systems

• Optimizing scale, cost, and performance of AI systems under real-world load

• Partnering with global engineering teams to deliver measurable business impact

What They’re Looking For

• 7+ years’ experience in ML engineering or applied data science

• Expertise in Python (plus C++, Go, or Java)

• Track record of deploying ML systems at scale

• Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG, tool-calling)

• Cloud-native engineering (AWS preferred) and strong software design fundamentals

Why Apply
This is a rare chance to join one of the world’s most prestigious brands, working at the forefront of AI innovation with unmatched resources, scale, and career development opportunities.

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Applied AI Engineer
New York City
Private Equity
$240,000 + 150% Bonus + Carry + Generous 401k

Harnham is working with a leading private equity firm, one of the world’s most active investors in the tech space, in building a new AI lab in New York City.

The purpose of this team is simple: value creation by building AI products and embedding directly into portfolio companies.

The AI lab has an impressive founding team and hold a very strong reputation within the AI and Private Equity space.

The lab will have a broad remit and it will be your role to identify new opportunities across the portfolio, scoping out AI builds and shipping production AI systems.

The Role – Applied AI Engineer

You will be:

• Working as a full-stack AI Engineer, owning every aspect of the life-cycle (from architecture and infrastructure to shipping products to customers)
• Shaping how projects are delivered and products are built, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end AI solutions.

Experience – Applied AI Engineer

You will have:

• 3-4 years of commercial experience in a software engineering or AI role
• Experience working end to end in shipping production AI systems to customers
• Strong engineering fundamentals (e.g. Python)
• Hands-on experience with GenAI / LLMs
• A “build first” mentality is essential
• Start-up experience is beneficial, so to experience in enterprise integrations

BENEFITS

Up to $240,000 base salary
Up to a 150% bonus + Carry + generous 401k
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, TypeScript, FastAPI, React, Kubernetes, AWS, AI, Engineer, Production, Software, Private Equity.

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Founding Data Scientist
NYC (5 Days Onsite – Midtown)
Up to $240K Basic Salary

We’re partnered with an early-stage company operating at the intersection of data, trading, and live events, looking to hire a Founding Data Scientist to help build and scale their core pricing and bidding systems.

This is an opportunity to join a small, high-caliber team where your work will directly influence pricing decisions, inventory strategy, and revenue generation.

What you’ll be working on:
* Pricing and inventory models in a real-time marketplace
* Bidding and trading algorithms
* Machine learning systems used in production
* Model evaluation and performance optimization
* Scaling core data science capabilities from the ground up

What they’re looking for:
* Strong background in machine learning and data science
* Experience building and deploying models into production
* Advanced Python and SQL skills
* Experience working in fast-paced, high-growth environments
* Someone who enjoys solving complex commercial problems

This is a rare opportunity to join at an early stage and help shape both the technical direction and future growth of the business.

Apply below or reach out directly for a confidential conversation.

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Machine Learning Engineer, LLM (Applied AI/NLP)

Location: New York (Hybrid)

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

About the Company

Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.

The Role

Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.

Key Responsibilities

• Build and fine-tune LLMs for developer-focused use cases
• Optimize models using prompt engineering, RAG, and inference techniques
• Collaborate across teams to align AI capabilities with product goals
• Mentor junior ML engineers and contribute to internal innovation

What You’ll Bring

• 2-8 years in applied NLP/LLM development
• Strong Python and ML stack (PyTorch, HuggingFace, etc.)
• Experience with large code/text datasets and transformer models
• Advanced degree in CS, AI, or NLP (PhD preferred)
• Bonus: Publications in top-tier ML/NLP conferences

Why Join?

• Competitive pay + equity + bonus
• Direct impact on product innovation and IP
• Full benefits: health, vision, dental, 401(k), generous PTO

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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Principal Data Scientist

Remote | Salary up to $220,000 + 15% bonus

This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.

The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.

The Role

• Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
• Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
• Collaborate with cross-functional stakeholders to identify opportunities and define requirements
• Apply generative AI and other advanced methodologies to solve real-world problems
• Translate technical findings into clear, actionable insights for senior stakeholders
• Oversee project timelines and ensure successful delivery across multiple workstreams

Your Skills and Experience

• Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
• Deep understanding of production-level AI systems and recent exposure to generative AI techniques
• Proven ability to lead complex projects end to end, from concept through to deployment
• Experience working cross-functionally with product, engineering, or business teams
• Clear and collaborative communication style, with the ability to influence senior stakeholders
• Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar

What They Offer

• Salary up to $220,000 with a 15% performance bonus
• Fully remote working with flexibility and autonomy
• Opportunity to work on high-impact AI initiatives at scale
• Collaborative, forward-thinking technical environment
• Clear scope for progression into broader technical or strategic leadership roles

How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.

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VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco

A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.

Mission

• Design and deploy agentic AI systems to automate and optimise large-scale production environments
• Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
• Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
• Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
• Integrate AI agents with observability, incident management, deployment, and runtime platforms
• Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
• Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming

Profile

• Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
• 7+ years of experience in applied ML, data science, or software engineering in production environments
• Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
• Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
• Experience building secure, explainable, and reliable AI systems with strong governance and auditability
• Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes

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Senior Machine Learning Engineer

Location: Fully Remote (Hybrid option in NYC)
Compensation: $190,000-$200,000 + Equity
Type: Full-Time

About the Company
We are partnering with a fast-growing, profitable SaaS company that is redefining programmatic advertising through AI-driven solutions. Their platform empowers brands to deploy custom algorithms across major DSPs (The Trade Desk, DV360, Meta, YouTube), enabling smarter, real-time ad-buying decisions. Backed by leading industry investors, this company is building ML infrastructure and solving problems that don’t have off-the-shelf solutions.

Why Join?

• Work on distributed ML infrastructure using Ray + PyTorch on Databricks.
• Build solutions that create a new software layer in ad-tech.
• Flexible working hours, fully remote, and equity participation.
• Opportunity to grow into Principal ML Engineer later this year.

Role Overview

As a Senior Machine Learning Engineer, you’ll own the ML lifecycle end-to-end, focusing on productionization and robust MLOps practices. You’ll work closely with data science and engineering teams to deploy models at scale and build automation for training, inference, and observability.

Key Responsibilities

• Deploy ML models into production using CI/CD best practices.
• Monitor and manage ML drift; retrain models as needed.
• Build automation for ML lifecycle (training, inference, observability).
• Contribute to internal API development for future projects.
• Collaborate across teams to productionize models for client and internal use cases.

Must-Have Skills

• Strong experience with CI/CD (GitHub Actions, build automation, packaging).
• Expertise in MLOps (MLflow, model versioning, monitoring).
• Hands-on with Databricks (Delta Lake, Unity Catalog, Asset Bundles).
• Proficient in Python and PySpark.
• 3-6 years of relevant experience.

Nice-to-Have Skills

• Kubernetes and containerized environments.
• API development exposure.
• Distributed training (Ray) and observability tools (Prometheus, Grafana).
• Familiarity with embedding models and Databricks Clean Room.

Screening Process

1. Intro (with Director of ML or Senior Engineer) + short live coding exercise.
2. Take-home exercise (CI/CD-focused).
3. Final interview with leadership.
4. CEO check-in.

Interested?
Apply now to join a team building brand-new solutions in ad-tech and work with technologies like PyTorch, Ray, Databricks, and MLflow.

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This is an opportunity to work on real-world AI applications from concept through production, leveraging the latest advancements in large language models, conversational AI, retrieval systems, and intelligent automation. The ideal candidate is a hands-on builder with recent experience deploying production-grade GenAI solutions and thrives in a fast-paced, collaborative environment.

Responsibilities

• Design, prototype, and deploy Generative AI solutions across customer-facing and internal business applications.
• Develop and optimize applications powered by large language models (LLMs), vector databases, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) architectures.
• Build, deploy, and maintain AI-powered chatbots and virtual assistants, ensuring scalability, reliability, security, and compliance.
• Lead the development of AI agents for both digital and voice-based experiences, supporting real-time interactions for customers and employees.
• Evaluate, integrate, and implement third-party AI platforms, APIs, and emerging technologies to accelerate innovation and business value.
• Create proof-of-concept applications to assess new use cases such as document processing, classification, summarization, knowledge management, and workflow automation.
• Optimize prompts, model configurations, and orchestration frameworks to improve performance, accuracy, and cost efficiency.
• Partner closely with data, platform, and MLOps teams to ensure robust deployment processes, monitoring, observability, and governance practices.
• Collaborate with product managers, engineers, and business stakeholders to translate user needs into scalable AI solutions.
• Contribute to architectural discussions and establish best practices for enterprise AI adoption and integration.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related technical field.
• 6+ years of experience in AI/ML engineering, software engineering, data engineering, or natural language processing, including recent hands-on work with Generative AI and LLM-based applications.
• Demonstrated success building and deploying production-grade AI chatbots, assistants, or conversational AI solutions within the last two years.

Required Skills

• Advanced Python programming skills and experience with modern AI frameworks and libraries such as LangChain, Hugging Face, OpenAI, Transformers, or similar technologies.
• Experience working with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent platforms.
• Strong understanding of RAG architectures, prompt engineering, model evaluation, API orchestration, and LLM optimization techniques.
• Solid SQL skills and experience working with cloud-based data platforms and large-scale datasets.
• Ability to operate effectively in cross-functional teams and collaborate with product, engineering, analytics, and external partners.
• Strong communication skills with the ability to explain complex AI concepts and outcomes to both technical and non-technical audiences.

Preferred Qualifications

• Experience working in highly regulated industries such as financial services, healthcare, insurance, or telecommunications.
• Hands-on experience developing voice AI, speech-enabled assistants, or conversational systems integrated with telephony platforms.
• Familiarity with modern data stack technologies, including cloud data warehouses, transformation tools, and data orchestration frameworks.
• Experience integrating AI solutions with CRM, customer service, or workflow management platforms.
• Exposure to document intelligence use cases including OCR, information extraction, summarization, semantic search, and personalized recommendations.
• Experience supporting customer-facing applications, contact center technologies, or enterprise-scale service operations.

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

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