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SENIOR SOFTWARE & ML ENGINEER (AUTONOMOUS VEHICLES / ROBOTICS)

REMOTE (OPTIONAL AUSTIN, TX OFFICE)

$150,000 – $175,000 BASE + BONUS + EQUITY + BENEFITS

The Opportunity

We’re partnering with a fast-growing robotics and autonomous systems startup focused on vehicle navigation in GPS-denied environments. This is not a research role – you’ll be building production-grade software and ML systems that run inside vehicles for military, defense, and commercial clients.

The team is flexible on seniority and open to mid-level through senior engineers who enjoy hands-on building, experimentation, and deep technical ownership.

What You’ll Be Working On

• Building and maintaining software for vehicle localization and navigation without GPS
• Developing sensor fusion, mapping, and ML-driven algorithms to integrate with vehicle hardware and firmware
• Reverse-engineering vehicle data streams and working with limited documentation
• Prototyping and iterating rapidly to solve real-world challenges in off-road or complex environments
• Collaborating closely across software, ML, and vehicle integration teams to design robust systems
• Owning large chunks of the stack, from embedded C++ systems to ML algorithms and data processing pipelines

What We’re Looking For

• Strong experience in C++ (systems-level, embedded, or robotics applications)
• Hands-on experience integrating software with hardware or vehicles
• Solid computer science fundamentals, including data structures, algorithms, and software architecture
• Comfortable working with limited tooling and documentation, and solving ambiguous problems
• Curious, resourceful, and entrepreneurial mindset with a desire to grow as an engineer

Nice to Have

• Autonomous driving or wheeled robotics experience
• ML experience for non-CV / non-LiDAR systems
• GIS, mapping, or topographical data experience
• Particle filters or localization algorithm knowledge
• PCB / firmware development experience
• Open-source contributions

Why This Role

• Real ownership over production-grade systems – what you build runs in vehicles
• Opportunity to work on cutting-edge autonomous vehicle and robotics technologies
• Flexibility on seniority and career trajectory, with future leadership opportunities
• Competitive compensation, equity, and room for impact in a growing startup
• Hands-on, scrappy, and collaborative team culture – low ego, high technical depth

If you’re excited to build real, deployed vehicle systems and ML solutions, not just prototypes, and want meaningful ownership on a fast-moving robotics platform, APPLY.

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MACHINE LEARNING ENGINEER (FOUNDATIONAL AI / RISK SYSTEMS)

REMOTE – UNITED STATES

$150,000 – $190,000 BASE + MEANINGFUL EQUITY + BENEFITS

The Opportunity

We’re partnering with a fast-growing fintech startup building a new category at the intersection of commercial rent, cash-flow intelligence, and applied AI.

This is a foundational machine learning role, not a research position. You’ll own the systems that make real financial decisions in production, working directly with the founding team.

What You’ll Be Working On

• Build and own underwriting and risk decisioning models used in production
• Analyze transaction-level financial data to identify key risk and performance signals
• Design ML systems that adapt to changing cash flow and user behavior
• Implement feedback loops that learn from real repayment outcomes
• Partner closely with founders on product and risk decisions

What We’re Looking For

• 4+ years building and shipping ML systems in production
• Strong data analysis skills with messy, real-world financial data
• Experience deploying Python-based ML models
• Ability to work independently with high ownership
• Decision-oriented mindset (focus on outcomes, not just models)
• Experience in risk, underwriting, or credit modeling
• Fintech or transaction-level data exposure
• Practical use of LLMs for classification or signal extraction

Tech Stack (Required / Core)

• Python for ML model development and data analysis
• Production ML deployment (risk scoring, thresholds, model iteration)
• SQL / PostgreSQL for working with transactional data
• Cloud environment (GCP or similar)
• Backend integration with Node.js / TypeScript-based systems

Why This Role

• As the first ML hire, you’ll own greenfield systems that control real financial outcomes, collaborate directly with founders, and grow into a long-term leadership role with meaningful equity.

If you’re motivated by building ML systems that directly affect real businesses, real cash flow, and real outcomes, APPLY.

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Senior Software Engineer (Agentic AI)

Salary: £120,000 + Equity

Location: London

Build and own the core systems behind autonomous AI agents that operate in real time, over voice, delivering immediate impact in healthcare.

The Opportunity
This opportunity is to join a fast‑growing AI company building autonomous, voice‑based agents that handle critical healthcare workflows end to end. You’ll work on foundational backend systems spanning real‑time voice, agent orchestration, reasoning, and deep integrations with live clinical platforms. The role offers high ownership and visibility, with engineers collaborating closely with founders, product, and customers to ship production systems quickly.

Reliability, performance, and safety are non‑negotiable, as the technology directly supports clinicians and patients in real‑world environments. It’s a chance to join a small, senior, in‑person team operating at the frontier of applied AI with immediate impact.

Role and Repsonsibilities
This role focuses on designing and building the core backend systems that power autonomous, voice‑driven AI agents used in live healthcare environments. You’ll own critical platform components, from real‑time systems and integrations with clinical tools to agent orchestration, memory, and workflow logic. A key part of the role is improving performance, reliability, observability, and safety across production systems that real patients and clinicians depend on.

You’ll work closely with founders, product, and customers, contributing directly to product direction and technical decisions. The position offers high ownership, fast iteration, and the opportunity to shape both the platform and the long‑term engineering culture.

Interview Process

1. Introduction Chat
2. Take Home Tech Test
3. C-Suite Stakeholder Chat

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Principal Data Scientist
London
Private Equity
£120,000 – £140,000 + benefits

Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.

The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space.

They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.

In this role you will lead the technical teams that deliver value.

The Role – Principal Data Scientist

You will be:

• Working on multiple engagements within portfolio companies across various different industry sectors
• Delivering key Data Science / AI initiatives that drive value for customers.
• Shaping how projects are delivered, driving performance and working closely with C-level execs.
• Providing technical leadership across the business, with a focus on end-to-end machine learning solutions.

Experience – Principal Data Scientist

You will have:

• An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
• Experience using Python is a must
• Knowledge of cloud technologies important (agnostic)
• A strong knowledge of statistical/machine learning models applied to real-world problems
• A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
• A focus on using data science and AI to create value is essential
• A strong interest in working across a variety of different industry sectors and problem areas.

BENEFITS

Up to £140,000 base salary
Competitive bonus
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, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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Senior AI Engineer
London
£110,000 – £120,000 + Bonus

The Role:

A well-known brand in the UK is building an AI team in 2026, starting with 4x AI Engineers (1x mid-level, 2x Snr AI Engineers and 1x Lead AI Engineer).

The scope of the role is extremely broad, offering the chance to come in and deliver impact all business areas.

With strong investment from the board and CEO, this team will utilise the latest techniques and innovation in AI to deliver value at a business-wide level.

With a far-reaching remit, it will be your role to identify new opportunities, scope out AI projects, and execute on your strategy.

You:

• Experience in leading the delivery of AI solutions within an organisation from beginning to end
• Strong technical experience across traditional data science and machine learning as well as AI
• Stakeholder management experience – utilising communication skills
• Technical leadership within the (growing) team – mentoring junior members of the team
• Innovation is a key part of this role

Salary:

In this role you can earn between £110,000 – £120,000 + benefits (including a 20% bonus OTE)

The Process:

1. Virtual Interview
2. Virtual (technical) interview
3. In-person interview

KEYWORDS

Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain.

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Principal MLOps Engineer

New York, New York – 3 days/week hybrid

$250,000-275,000 base salary + bonus + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering 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 machine learning model deployment and scalability for the company’s agentic AI product across HUNDREDS of hospitals
• You will report directly to the founding team and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• 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 Principal MLOps Engineer will likely have the following skills and experience:

• 10+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems
• Experience working in a scaling startup is highly 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 experience with CI/CD pipelines required
• History of working on models from concept to production / end-to-end / 0-1
• Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar
• Containerization experience with Docker or Kubernetes
• 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 directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $250,000-275,000 + 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 | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents

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Principal Machine Learning Engineer

New York, New York – 3 days/week hybrid

$250,000-275,000 base salary + bonus + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering 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 machine learning model building, development, deployment and scalability for the company’s agentic AI product across HUNDREDS of hospitals
• You will report directly to the founding team and work closely on technical direction
• Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
• Own CI/CD pipelines for MLOps / LLMOps
• 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 Principal Machine Learning Engineer will likely have the following skills and experience:

• 10+ years of commercial experience preferred with a focus on end-to-end building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems
• Experience working in a scaling startup is highly 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 experience with CI/CD pipelines required
• History of working on models from concept to production / end-to-end / 0-1
• Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar
• Containerization experience with Docker or Kubernetes
• 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 directly preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $250,000-275,000 + 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 | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents

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Lead AI Engineer
London
£130,000 – £140,000 + Bonus

The Role:

A well-known brand in the UK is building an AI team in 2026, starting with 4x AI Engineers (1x mid-level, 2x Snr AI Engineers and 1x Lead AI Engineer).

The scope of the role is extremely broad, offering the chance to come in and deliver impact all business areas.

With strong investment from the board and CEO, this team will utilise the latest techniques and innovation in AI to deliver value at a business-wide level.

You will be the voice for AI within the company and be responsible for helping to an AI strategy, identifying key projects to deliver significant value and impact.

NB: This role does not involve direct people management to begin with, but there will be opportunities (if wanted) as the team grows.

You:

• Experience in leading the delivery of AI solutions within an organisation from beginning to end
• Strong technical experience across traditional data science and machine learning as well as AI
• Stakeholder management experience – utilising communication skills
• Technical leadership within the (growing) team – mentoring junior members of the team
• Innovation is a key part of this role

Salary:

In this role you can earn between £130,000 – £140,000 + benefits (including a 20% bonus OTE)

The Process:

1. Virtual Interview
2. Virtual (technical) interview
3. In-person interview

KEYWORDS

Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain.

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PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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Data Delivery Lead
Watford Junction | Hybrid 3 days per week
Up to £85,000 + bonus

We’re working with a well-known UK entertainment and gaming organisation undergoing a major digital and data transformation. With significant investment into modern platforms, analytics capability and CRM infrastructure, this business is shifting towards a far more customer-centric, insight-driven operating model.

The Role

This is a senior delivery and functional leadership position within the data organisation, reporting directly into the Head of BI.

You’ll act as the single point of accountability for analytics and BI delivery, owning initiatives from initial business requirement through to build, release and adoption.

While this is not a Project Manager role, it requires strong ownership of delivery, prioritisation and stakeholder management across multiple concurrent initiatives.

Key Responsibilities

• Own end-to-end delivery of BI, analytics and data products

• Act as the functional lead across Business Analysis, Data Engineering and Reporting

• Manage 3 direct reports, each owning a core vertical

• Provide indirect leadership across teams of 15-20 including permanent staff and suppliers

• Partner closely with Product Owners and senior stakeholders across Marketing, CRM, Finance and Operations

• Translate business problems into clear, deliverable analytics solutions

• Set priorities, manage dependencies and allocate resources effectively

• Balance short-term delivery with longer-term roadmap and platform planning

• Ensure teams understand upcoming work and are staffed appropriately

Team Structure

This role leads across three core functions:

• Lead Business Analyst overseeing a BA team

• Data Engineering Manager owning platform and pipelines

• Reporting Engineering Manager responsible for Power BI and reporting

You will work closely with Architecture, QA and Operations to ensure solutions are delivered in the right strategic direction.

What They’re Looking For

• Strong experience owning BI or analytics delivery in complex environments

• Proven stakeholder management and business partnering skills

• Background working with Power BI and modern reporting stacks

• Experience leading cross-functional delivery teams

• Comfortable operating at both strategic and hands-on levels

• Able to challenge, prioritise and drive outcomes rather than simply report progress

Experience in regulated industries or high-volume consumer environments is beneficial but not essential.

Why This Role

• Senior leadership position with genuine ownership of data delivery

• High visibility across the business with executive stakeholder exposure

• Opportunity to shape how BI and analytics are embedded into decision making

• Clear impact on revenue growth, cost reduction and operational efficiency

• Hands-on role that stays close to delivery without micromanaging teams

• Hybrid working model with long-term transformation underway

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Principal/Founding AI Engineer specializing in Agentic GenAI & Medical Data

Company Overview

Join a rapidly growing medical-tech startup, backed by $75M+ in funding, building a 3-sided marketplace transforming how healthcare connects, transacts, and personalizes patient experiences. We’re a product-led, remote-friendly team with engineering and commercial operations in the US and Croatia.

Role Overview

As a Senior Software Engineer, you’ll architect and develop agentic GenAI workflows leveraging Python, Django, and cutting-edge AI/ML tools. You will be responsible for designing internal platforms built on sensitive medical datasets, deploying market-facing solutions, and collaborating closely with commercial and AI teams to iterate rapidly.

Key Responsibilities

• Build agentic GenAI workflows using proprietary and medical datasets.
• Lead GenAI & workflow orchestration for healthcare data and knowledge management.
• Develop and optimize marketing technology: email delivery, user engagement, personalization solutions, and growth engineering initiatives.
• Prototype, productize, and validate commercial AI models-understand and model clinician behavior, prescription workflows, and intelligent decision systems.
• Write production code for backend (Python/Django), ensure robust system architecture, and lead technical implementation cycles.
• Partner with cross-functional teams across the US and Croatia to deliver rapid, validated product iterations.

Skills & Experience

• Proven backend expertise: Python and Django in production environments.
• Frontend experience: React (modern best practices).
• Cloud/infrastructure: AWS (deploying, scaling, monitoring).
• Databases: PostgreSQL; ability to optimize for large medical/structured datasets.
• AI/ML: Experience with OpenAI and agent knowledge systems strongly preferred. Track record training or managing AI agents a plus.
• Nice-to-have: Direct experience handling medical/healthcare data.
• Scalability: Experience architecting knowledge systems with large-volume data indexing, not high-throughput but focused on effective information retrieval.

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About the Role

Join a YC-backed seed-stage startup as an early ML hire, owning end-to-end model development for underwriting, risk scoring, and credit decisioning. You’ll work directly with founders to build production models that drive revenue and portfolio performance.

What You’ll Do

• Design, build, and deploy production ML models in Python for underwriting, risk scoring, and credit decisioning.
• Develop an elastic underwriting model that adapts to platform changes, cash flow dynamics, and evolving user behaviors.
• Implement feedback loops to analyze performance month-over-month, continuously refining risk thresholds and model features.
• Own the full ML lifecycle: data exploration, feature engineering, training, deployment, monitoring, and iteration.
• Integrate models with the TypeScript backend (Node.js/Express, Next.js, React Native) to power decisioning flows.
• Build high-quality datasets using financial data from Plaid, Stripe, and PostgreSQL (via Supabase).
• Contribute to ML infrastructure design on GCP, including model serving, orchestration, and observability.

Tech Stack

• Backend: Node.js/Express, Next.js, React Native (TypeScript)
• Data: PostgreSQL (Supabase), GCP
• Integrations: Plaid, Stripe
• ML: Python-based modeling and deployment

What We’re Looking For

• 2-4 years of professional experience deploying ML models to production.
• Strong Python skills with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience with risk scoring, credit decisioning, fraud detection, or similar applications.
• Familiarity with threshold optimization, calibration, and precision/recall tradeoffs in risk contexts.
• Comfortable working with PostgreSQL and cloud platforms (GCP preferred).
• Thrives in fast-paced, ambiguous environments with end-to-end ownership and quick iteration.
• Strong collaboration and communication skills across technical and non-technical teams.

Nice to Have

• Experience with Plaid, Stripe, or other financial data APIs.
• Background in fintech, lending, or credit underwriting.
• Experience building data/ML pipelines in early-stage startups.
• Experimentation experience (A/B testing, holdout validation).

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