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Senior Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 3+ years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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To Apply for this Job Click Here

Senior Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Data Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 3+ years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

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Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer

New York, New York

$190,000-210,000 base salary + bonus + benefits

Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior Machine Learning Engineer will likely have the following skills and experience:

• 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
• Experience working in a fast-moving organization is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in financial services, investment or private equity a plus
• History of partnering with non-technical stakeholders required
• Experience as a player/coach or manager for AI teams preferred
• PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of AI

New York

up to £350,000 + Bonus + Carry

A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.

THE ROLE

• Lead AI/data diligence for new investments
• Build and scale a Data & AI practice across portfolio companies
• Co-create AI-enabled value creation plans (VCPs)
• Drive internal AI transformation and platform development
• Represent the firm through thought leadership and industry engagement

REQUIREMENTS

• Proven track record delivering AI/data initiatives in fintech or regulated sectors
• Experience in PE/VC, consulting, or operator roles with value-creation focus
• Deep expertise in:
• LLMs and agent-based architectures
• End-to-end AI/ML development and deployment (MLOps)
• Data governance, privacy, and responsible AI
• Strong commercial acumen and stakeholder influence
• Ability to lead small, high-performing teams

THE BENEFITS

• Competitive base salary + bonus + carried interest
• High-impact, high-visibility role with direct access to investment teams and portfolio leadership
• Opportunity to shape the future of AI in private equity and fintech
• Hybrid working with offices in New York

If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

The Role

The client is a global financial services leader seeking a Lead AI Engineer to spearhead the design and deployment of agentic AI solutions that will be adopted across the entire company. This role blends hands-on engineering with strategic leadership in a highly skilled team to deliver AI systems that operate across complex cloud environments and impact business lines globally.

Key Responsibilities

• Build and deploy enterprise-grade AI/ML solutions (LLMs, agentic AI) in production
• Lead teams developing systems that handle millions of transactions securely and efficiently
• Architect solutions in the cloud with a focus on scalability, performance, and cost reduction
• Collaborate across business and engineering functions to ensure adoption and measurable impact
• Mentor and guide junior engineers and data scientists in best practices for enterprise AI deployment

Ideal Candidate:

• 8+ years of commercial experience with ML models
• Proven track record of deploying LLMs or advanced ML systems in enterprise production
• Strong background in large-scale consumer-facing applications or enterprise AI systems
• Blend of ML engineering + system design skills (not purely research or purely SWE)
• Experience with cloud-native AI deployments (AWS, GCP, or Azure)

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of AI – Higher Education

Remote – US based

About the Company

Join a global leader in education that is undergoing a major transformation – evolving from a traditional content publisher to a pioneer in digital learning and AI-driven education.

The company’s mission is to unlock the potential of every learner through personalized, data-informed learning experiences. With deep expertise in core curriculum and a powerful model serving instructors, institutions, and students, this organization is leveraging data and generative AI to redefine how students learn.

Their digital platforms already reach millions of learners worldwide, offering AI-powered study tools, reading companions, and adaptive learning solutions that drive measurable improvements in student engagement and performance.

Now is the ideal time to join as they enter a once-in-a-generation transformation – applying large language models and machine learning to build the next generation of intelligent education products.

The Opportunity

The Director of AI (Higher Education) will lead the generative AI strategy and application delivery for the organization’s Higher Education division. This is a high-impact leadership role that combines visionary strategy with hands-on technical oversight.

You’ll partner closely with Product, Data Science, and Engineering teams to design and deploy production-grade AI applications that enhance learning outcomes and deliver personalized educational experiences at scale.

Key Responsibilities

• Define and execute the generative AI strategy for Higher Education.

• Lead cross-functional collaboration with Product and Data teams to assess feasibility, prioritize projects, and deliver impactful AI solutions.

• Manage and mentor a growing team of data scientists and machine learning engineers.

• Oversee development of key AI applications, including personalized learning assistants, content summarization, and adaptive recommendation systems.

• Uphold ethical and responsible AI practices – focusing on bias mitigation, accuracy, and data privacy.

• Drive measurable results: accelerate AI project throughput, deliver scalable models, and strengthen internal AI capabilities.

About You

• Advanced degree (PhD or equivalent experience) in Applied Mathematics, Physics, Statistics, or related quantitative field.

• 7-10+ years of industry experience progressing from hands-on data science to leadership.

• Proven track record in shipping generative AI applications to production.

• Strong collaborator who can balance technical vision with pragmatic delivery.

• Experienced leading both people and projects in fast-moving, cross-functional environments.

• Passion for education and using AI to make a social impact

Technical Expertise:

• LLM application development (OpenAI API, LangChain, RAG, etc.)

• Python and modern ML frameworks (PyTorch, TensorFlow)

• MLOps and model orchestration best practices

• Data architecture, evaluation frameworks, and scalable deployment

Why Join

This is a rare opportunity to shape the future of digital learning at a global scale – applying cutting-edge AI to solve meaningful challenges in education. You’ll be joining a passionate, mission-driven team with the autonomy, resources, and data infrastructure to make a lasting impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Engineer

Remote- USA

$180,000-225,000+ Equity

We are seeking a Staff Machine Learning Engineer to help design, build, and deploy advanced AI systems for financial technology applications. In this role, you will work end-to-end on machine learning projects , from research and experimentation to production deployment, with a focus on creating secure, scalable, and high-performing generative AI solutions.

This is a hands-on role where you’ll contribute directly to building models, pipelines, and workflows that power intelligent, personalized financial experiences.

What You’ll Do:

• Develop and fine-tune large language models (open-source and proprietary) for tasks such as reasoning, summarization, and multi-turn dialogue.
• Build advanced Retrieval Augmented Generation (RAG) pipelines, including query rewriting, embedding fine-tuning, hybrid search, reranking, and knowledge graph integration.
• Create AI-driven agentic workflows that automate financial tasks, enable co-pilot systems, and support human-in-the-loop collaboration.
• Apply reinforcement learning methods (e.g., PPO, DPO, GRPO) to optimize and improve model performance.
• Implement evaluation frameworks and define metrics for model quality, efficiency, and reliability.
• Deploy models into production environments, ensuring scalability, low latency, and robustness.
• Collaborate with product managers and engineers to integrate ML components into real-world fintech applications.

What You’ll Bring:

• 6+ years of experience in applied ML/AI engineering (post BS/MS).
• Experience delivering generative AI products with LLMs at their core.
• Hands-on expertise in LLM fine-tuning (e.g., LoRA), inference frameworks (e.g., vLLM), and RAG architectures.
• Strong foundation in reinforcement learning and experience applying RLHF or similar methods.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with modern data and ML infrastructure, including cloud-based deployment.
• Ability to adapt quickly in dynamic environments and deliver high-quality solutions.

Why This Role:

• Work on high-impact projects that shape the future of financial services through AI.
• Contribute to cutting-edge ML applications in a fast-paced, innovative fintech environment.
• Collaborate with experienced engineers and data scientists on applied generative AI.
• Be part of a culture that values experimentation, technical depth, and continuous growth

To Apply for this Job Click Here

To Apply for this Job Click Here

Role Overview

An elite AI engineering team within a global organization is hiring a VP-level AI Engineer to lead the development and deployment of agentic AI solutions at enterprise scale. These systems will power internal automation and cost-efficiency efforts, touching millions of transactions and users across a complex, high-volume environment.

This role is about building and deploying production-grade LLM and agentic systems, not just experimentation or internal tools. You’ll be expected to design for scale, reliability, and real-world performance – with the full backing and reach of a global enterprise.

What You’ll Do

• Design and deploy LLM-based and agentic AI systems in cloud environments
• Lead architecture and development of production-ready AI applications
• Collaborate with engineering, infrastructure, and business partners to identify impactful AI opportunities
• Ship systems that reduce operational cost and increase automation across the organization
• Own solutions from prototype to deployment and long-term optimization

What We’re Looking For

Must-Haves

• 8+ years of experience in software engineering or AI/ML roles (commercial/industry)
• Hands-on experience deploying LLM-based systems at scale
• Strong skills in both ML model deployment and system architecture
• Prior ownership of AI products used by external users or across large orgs
• Experience in cloud-based environments (e.g., AWS, GCP, Azure)
• Track record of shipping AI into production, not just R&D or PoCs
• Stable career trajectory (ideally 2+ years per role)

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