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Founding AI Engineer

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

About the Role

I’m looking for a hands‑on Founding AI Engineer to build and ship the core AI systems that will drive the product forward. Your work will center on fine‑tuning large language models, designing and owning training pipelines, and deploying models that perform reliably in real‑world production environments.

This role is ideal for someone who loves building: running experiments, writing code, optimizing models, and taking features from early prototype to fully deployed. You’ll work directly with me, help define our technical direction, and make an outsized impact from day one.

What You’ll Do

• Fine‑tune and adapt leading LLMs (OpenAI, Claude, Llama, Mistral, OSS) for production use cases.

• Build hands‑on data pipelines for SFT, DPO, LoRA, RL methods, and synthetic data generation.

• Design evaluation systems to measure accuracy, reliability, grounding, and hallucination reduction.

• Develop high‑performance inference infrastructure (quantization, batching, GPU optimization).

• Own the full lifecycle of ML features: modeling → pipelines → infra → deployment.

• Rapidly experiment, iterate, and improve model performance with tight feedback loops.

• Collaborate with me on architecture decisions and product direction.

What I’m Looking For

• Strong experience fine‑tuning and deploying LLMs in production.

• Deep ML engineering skills: Python, PyTorch, transformers, distributed/accelerated training.

• Comfort handling messy, real‑world data and building robust pipelines.

• Ability to move quickly, make informed tradeoffs, and deliver production-quality systems.

• A builder’s mindset-resourceful, execution‑driven, and energized by 0→1 challenges.

⭐ Bonus Points

• Experience with agentic systems, tool‑calling, or structured reasoning workflows.

• Background in MLOps, model evaluation frameworks, or GPU-aware engineering.

• Early‑stage startup or founding-team experience.

Why Join

• Founding-level equity with meaningful ownership.

• Massive responsibility and autonomy over the AI systems at the heart of the product.

• Freedom to experiment, move fast, and push the boundaries of what LLMs can do.

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

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Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

About the Role

A fast‑moving startup is seeking a Head of AI to build and lead its artificial intelligence function from the ground up. This is a high‑ownership role designed for someone who thrives in early‑stage environments, moves quickly, and is excited to shape both technical direction and company culture.

What You’ll Do

• Own the entire AI strategy and roadmap, guiding the evolution from early prototypes to scalable production systems.
• Design, train, fine‑tune, and deploy AI/ML models end‑to‑end, remaining hands‑on through early growth phases.
• Build and lead the AI organization – hiring, mentoring, and establishing team structure and best practices.
• Rapidly experiment and iterate, balancing scrappy execution with thoughtful long‑term architecture.
• Establish all AI infrastructure, including data pipelines, training workflows, model hosting, and MLOps foundations.
• Collaborate closely with founders and product/engineering teams to identify high‑impact AI opportunities.
• Implement responsible AI practices from day one, ensuring safety, reliability, robustness, and transparency.
• Evaluate and integrate emerging AI technologies, including LLMs, agentic systems, and multimodal architectures.
• Set standards for experimentation, evaluation, benchmarking, and deployment, optimizing for speed and quality.

What Makes You a Great Fit

• 7-10+ years in AI/ML with significant hands‑on experience building and deploying real systems.
• A track record of shipping AI products or infrastructure in a startup or small‑team environment.
• Deep understanding of LLMs, modern ML frameworks, retrieval systems, data engineering, and model evaluation.
• Ability to move fast while maintaining strong engineering discipline.
• Comfort operating in ambiguity and making high‑impact decisions without perfect information.
• Natural leadership instincts with the ability to both set vision and execute.
• Advanced degree in ML/CS or equivalent practical experience.

Bonus Experience

• Previous experience as a founding ML engineer or early technical leader.
• Direct experience training, fine‑tuning, or analyzing LLMs, multimodal models, or agents.
• Familiarity with lightweight startup‑friendly ML infrastructure (e.g., serverless inference, vector search, lean MLOps).
• Demonstrated ability to build quickly while maintaining high safety and reliability standards.

Location

San Francisco, CA – hybrid role; in‑person collaboration preferred during early team formation.

Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

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Lead AI Engineer $250-300k + Equity – San Francisco Bay Area | Hybrid

Early-Stage Startup – Full-Time – AI Engineering

Join a fast-growing early‑stage startup building a next‑generation, AI‑native design‑to‑code platform. The team is creating a new category of design tooling where code renders directly as design, real-time AI is deeply embedded into the workflow, and designers work directly in the medium that ships to production.

We are now hiring a Lead AI Engineer as the first dedicated AI specialist on the team-owning the model layer, driving fine‑tuning strategy, and building custom SLMs that power a highly interactive, high‑performance product.

The Role

As the Lead AI Engineer, you’ll take end‑to‑end ownership of model development, optimization, deployment, and evaluation. This is a hands-on, production-focused role where you will build and maintain the AI systems at the core of the product experience.

You’ll work at the intersection of models, systems, and product-shipping production-grade AI features, shaping technical direction, and establishing best practices for evaluation and performance.

What You’ll Do

Model Fine‑Tuning & Specialization

• Lead fine‑tuning efforts across LoRA, adapters, distillation, and full fine‑tuning
• Decide when fine‑tuning, prompting, or system‑level approaches are most appropriate
• Iterate models based on real product signals and user feedback
• Balance quality, latency, reliability, and cost

Model Optimization & Performance

• Optimize inference speed, throughput, and per‑request cost
• Improve model determinism, consistency, and real-time responsiveness
• Define and maintain benchmarking, evaluation, and observability frameworks

Custom SLM Development

• Build small, fast language models tailored for design and code-generation workflows
• Identify use cases where SLMs outperform larger models
• Maintain and evolve SLMs in production environments

What You’ll Build

• Fine‑tuned models for design-to-code generation
• Custom SLMs for narrow, high‑precision workflows
• Real-time, streaming AI features inside a design environment
• Multi-step agentic systems supporting “prompt-as-cursor” and next‑in‑flow interactions

How You’ll Work

• ~80% hands‑on coding, 20% systems-level strategy
• Full lifecycle ownership: scoping → experimentation → deployment → monitoring → iteration
• Close collaboration with engineering and product leadership
• Operate within a highly senior, fast-moving engineering team
• Ideal for builders coming from AI‑native, high‑velocity environments

What We’re Looking For

Must-Have Experience

• 5+ years software engineering
• 2+ years hands‑on work with LLMs in production
• Proven fine‑tuning experience (LoRA, distillation, adapters, full fine‑tuning)
• Strong Python and TypeScript/Node.js skills
• Experience deploying custom models end‑to‑end
• Understanding of inference optimization and performance tradeoffs
• Experience with model evaluation and benchmarking

Nice-to-Haves

• ONNX Runtime
• Redis
• WebSockets
• LangChain or similar orchestration tools
• Model optimization and compression techniques
• LLM observability tooling

Ideal Background

• Experience in AI-native product startups (Seed → Series B/C)
• Work in code generation, developer tools, design tooling, or AI automation
• Strong applied experience shipping models to production at speed

How to Apply

If this role aligns with your experience and interests, please reach out with your Resume or LinkedIn profile. I would welcome a confidential conversation to explore whether it’s the right fit.

Lead AI Engineer $250-300k + Equity – San Francisco Bay Area | Hybrid

Early-Stage Startup – Full-Time – AI Engineering

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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.

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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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Director of Data Science

Location: Atlanta, GA (Onsite)

Salary: $250-350k depending on experience

We’re partnering with a leading private equity-backed consumer platform to hire a Director of Data Science to lead and scale an enterprise-level data science function.

This role sits at the intersection of investment strategy, portfolio performance, and advanced analytics, with direct influence on how data science, machine learning, and Generative AI are used to drive value across a large multi-brand ecosystem.

The Role

You’ll own the vision, execution, and growth of the Data Science function, leading a high-performing team and partnering closely with senior leaders across strategy, engineering, product, and investment teams.

The work spans commercial due diligence, forecasting, pricing, experimentation, marketing analytics, and GenAI tooling, with a strong emphasis on building scalable, production-grade solutions that drive measurable business impact.

This is a player-coach role – hands-on where needed, strategic where it counts.

What You’ll Be Doing

• Lead and grow the Data Science team, setting technical standards and best practices
• Define the long-term roadmap, tooling, and architecture for applied data science
• Partner with investment and portfolio teams on predictive modeling and value creation
• Drive the adoption and impact of Generative AI and agentic workflows
• Own the full model lifecycle, from problem framing through production deployment
• Translate complex analytics into clear, executive-level insights

What We’re Looking For

• 10+ years of applied data science / ML experience
• Strong Python and SQL skills, with proven production deployment experience
• Experience leading and scaling technical teams
• Deep expertise in forecasting, experimentation, pricing, and causal analysis
• Strong business judgment and executive communication skills

Nice to have: consumer / retail / QSR exposure, multi-brand environments, PE or consulting background, advanced degree, and a strong point of view on how GenAI tools are reshaping data science workflows.

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Data Science Manager
Location: Canada | EST Hours Required

Salary: $175-220k base + bonus

We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.

This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.

You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.

It’s startup-level ownership with the scale and data of a large, active user base.

What You’ll Do

• Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
• Define success metrics, monitor production models, and iterate until business results improve
• Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
• Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
• Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability

What We’re Looking For

• 6+ years building and deploying consumer-facing ML systems in production
• 2+ years leading or managing data scientists or ML engineers
• Experience building teams, not just operating as an IC
• Strong Python skills
• Experience with Databricks or similar ML platforms
• Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
• Proven ability to translate ambiguous business problems into measurable ML outcomes
• Strong bias toward shipping, iteration, and impact
• Sound judgment on when to ship an MVP vs. invest in robustness
• Actively uses AI tools to accelerate development and expects the same from their team

Nice to Have

• Experience with experimentation platforms or causal inference
• Background in subscription or SaaS businesses
• Familiarity with TypeScript or production engineering practices

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AI Engineer – Crypto Start Up

We are working with a Crypto Start-up company looking to hire a Machine Learning / AI Engineer

Requirements:

• RAG, LLM, GenAI experience
• Strong Data science experience
• Deployment / engineering experience
• Interest in Crypto

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Senior Applied AI Scientist

Fully Remote – HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company’s agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• 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, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging 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 | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

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AI and ML Engineer

London, hybrid three days a week.
Competitive salary between £60,000 and £70,000 plus benefits.

This is an exciting opportunity to join a fast‑scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer‑facing AI features, internal automation, and traditional ML models within a modern cloud environment.

The Company

They are a rapidly growing consumer brand and technology business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where your work will have a clear and visible impact.

The Role

• Build and deploy AI and ML models across customer‑facing and internal product areas.
• Contribute to conversational AI and generative AI features that enhance customer engagement.
• Support traditional ML projects including segmentation, forecasting and recommendation systems.
• Develop scalable pipelines and services using Python and cloud technologies.
• Collaborate with engineering, data science and product teams to deliver end‑to‑end solutions.
• Play a key role in scaling AI capability within a lean, high‑performing team.

Your Skills and Experience

• Strong Python engineering skills with experience delivering production models.
• Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques.
• Familiarity with cloud environments, ideally GCP, but open to other platforms.
• Understanding of model deployment, microservices, and scalable data patterns.
• Ability to communicate clearly and work collaboratively across technical and non‑technical teams.
• Passion for AI and how it can drive customer experience and business value.
• STEM degree preferred, with experience in a structured engineering or data team.

What They Offer

• Competitive salary plus benefits.
• Hybrid working, typically three days per week in the London office.
• Opportunity to work across generative AI, computer vision, automation and classical ML.
• High autonomy, strong technical ownership and clear career development.
• A collaborative environment with regular interaction across engineering, data and product.

How to Apply

If this AI and ML Engineer opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

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AI and ML Engineer

London, hybrid three days a week.
Competitive salary between £50,000 and £60,000 plus benefits.

This is an exciting opportunity to join a fast‑scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer‑facing AI features, internal automation, and traditional ML models within a modern cloud environment.

The Company

They are a rapidly growing consumer brand and technology business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where your work will have a clear and visible impact.

The Role

• Build and deploy AI and ML models across customer‑facing and internal product areas.
• Contribute to conversational AI and generative AI features that enhance customer engagement.
• Support traditional ML projects including segmentation, forecasting and recommendation systems.
• Develop scalable pipelines and services using Python and cloud technologies.
• Play a key role in scaling AI capability within a lean, high‑performing team.

Your Skills and Experience

• Strong Python engineering skills with experience delivering production models.
• Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques.
• Familiarity with cloud environments, ideally GCP, but open to other platforms.
• Understanding of model deployment, microservices, and scalable data patterns.
• Ability to communicate clearly and work collaboratively across technical and non‑technical teams.
• Passion for AI and how it can drive customer experience and business value.
• STEM degree preferred, with experience in a structured engineering or data team.

What They Offer

• Competitive salary plus benefits.
• Hybrid working, typically three days per week in the London office.
• Opportunity to work across generative AI, computer vision, automation and classical ML.
• High autonomy, strong technical ownership and clear career development.
• A collaborative environment with regular interaction across engineering, data and product.

How to Apply

If this AI and ML Engineer opportunity sounds like the right next step, please apply with your CV or email me at for more information.

To Apply for this Job Click Here

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Senior Data Scientist

London, hybrid 1 to 3 days per week.
Competitive salary between £60,000 and £70,000 plus bonus and benefits.

This is a rare opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a pivotal moment as they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency.

The Company

They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model.

The Role

• Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour.
• Build data-driven workflows that improve operational processes and automate manual tasks.
• Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants.
• Shape project plans, define requirements, and communicate insights to senior stakeholders.
• Deliver end-to-end modelling, from scoping and feature design to deployment and iteration.
• Act as the most senior data science practitioner, setting foundations for how the function will scale.

Your Skills and Experience

• Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions.
• Proficiency in Python and experience working with cloud environments, ideally Azure.
• Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes.
• Comfortable collaborating with stakeholders across commercial, operations, and technology.
• Broad skill set across supervised learning, workflow automation, and hands-on engineering.
• STEM academic background with strong analytical foundations.

What They Offer

• Competitive salary bonus and full benefits.
• Hybrid working with a minimum of one office day per week.
• The chance to build a new data science capability in a growing team.
• High visibility with opportunities to shape strategy, tooling, and delivery standards.
• Future headcount growth, including adjacent roles such as ML Ops.

How to Apply

If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.

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