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Marketing Analytics Consultant

London (Hybrid – 2x Days a Week in Office)

£55,000-65,000

Great opportunity to join a forward-thinking digital consultancy where you’ll take the lead on projects spanning marketing mix modelling, attribution, incrementality, and econometrics, with full autonomy to run clients end-to-end!

THE COMPANY

This global digital consultancy has built a reputation for delivering innovative data-led marketing solutions. With a newly restructured analytics & consulting team operating in a hub model, they’re investing in senior client-facing talent to drive growth across UK and EMEA accounts; you’ll be joining a tight-knit UK team with backing from world-class specialists across data science, engineering, and implementation, and report into a strategic, growth-focused analytics leader

THE ROLE

This is a true consulting role, not just technical delivery; you’ll work across a mix of brand and performance clients, building strong relationships while delivering strategic insight across measurement frameworks. Expect to be advising CMOs, challenging briefs, and designing solutions from the ground up. You’ll work across:

• Marketing Mix Modelling (MMM)
• Multi-Touch Attribution (MTA)
• Incrementality Testing & Lift Studies
• Measurement Strategy & Econometrics

YOUR SKILLS & EXPERIENCE

• Experience with MMM, attribution, or measurement modelling
• Good client-facing skills

THE BENEFITS

• £55,000-£65,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Junior Software Engineer
Insurtech, London (4 days per week in office)
£45,000 + Benefits

OVERVIEW

Harnham is currently working with one of the UK’s fastest growing Insurtech’s over the last few years. They have a strong presence in the market and have grown their product offerings to UK customers over the last couple of years and are now seen as a challenger to the traditional industry.

The Engineering team is currently 14 strong and they are looking to hire 2x Software Engineers to the team now.

There is a big focus on developing engineers here and they take pride in growth and learning throughout the entire organisation.

THE ROLE

You will be:

• Working as part of a close-knit team of Software Engineers and Developers, collaborating and learning from more senior members of the team
• Improving the existing code base, whilst also writing clean and efficient code to improve product features.
• Improving experience for users
• Working “full-stack” – with projects across the front and back-end
• Learning around devops and infrastructure
• Tech: Angular, Python, Kubernetes, Docker, AWS.

SKILLS AND EXPERTISE

You must have:

• A 2.1 degree (minimum) in Computer Science
• Internship experience is highly desirable
• A strong focus on software engineering best-practice.
• A desire to learn new skills and grow as a software engineer
• An interest in both technical and non-coding related job roles (e.g. stakeholder engagement)
• An interest in working collaboratively with data, product etc.

SALARY

In this role you could earn up to £40,000 + benefits.

HOW TO APPLY

To be considered for this opportunity, please submit your details using the Apply button on this page. For more information regarding other roles please contact Nick Mandella at Harnham.

KEYWORDS

Software engineer, software deveeloper, full-stack, frontend, backend, Angular, Python, AWS, Docker, Kubernetes.

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Role: Senior Full Stack Developer (C#/.NET)
Salary: £90,000 – £130,000 + bonus + benefits
Location: Central London – 5 days per week onsite

Overview

Our client is a high-performing, London-based investment management firm specialising in sports trading. Founded in 2007 and generating £6.11M in turnover last year, they operate globally across football, cricket, US sports, and more. With a flat structure, strong team retention, and a culture focused on autonomy, flexibility, and high impact, they’re now looking to expand their engineering function with two Full Stack Developers.

This is an opportunity to work on greenfield projects with real-world impact, building predictive modelling systems that power automated trading and investment strategies.

Key Responsibilities

• Design, build, and maintain full-stack software solutions in C#/.NET
  * Develop predictive models for real-time sports trading and analysis
  * Contribute to greenfield product development with autonomy and ownership
  * Collaborate across a highly technical team with strong mathematical expertise
  * Solve complex, data-driven problems that have immediate business impact
  * Support system integration, testing, and deployment processes

Ideal Candidate

• 5-10 years of software engineering experience
  * Strong proficiency in C# and the .NET platform
  * Solid foundation in mathematics, statistics, or quantitative problem-solving
  * Experience with SQL Server, Oracle, or similar RDBMS
  * Comfortable working in a fast-paced, collaborative environment
  * Excellent communication skills; fluency in English
  * Passion or interest in sports (sports trading background not required)
  * Strong tenure and track record of mastery in a domain

Nice to Have

• Experience with JavaScript frameworks (e.g., React)
  * Network programming (TCP/UDP)
  * Multi-threaded application development
  * Familiarity with version control tools (PlasticSCM, Git, etc.)
  * Exposure to Windows-based technologies

Tech Stack / Tools

• C# / .NET (latest versions)
  * SQL Server
  * ASP.NET
  * React (optional)
  * TCP/UDP protocols
  * Git, PlasticSCM

Benefits

• Bonus (paid twice yearly, tied to personal performance)
  * Pension scheme
  * Private health insurance
  * Gym membership (with work-hour access up to twice a week)

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Data Science Manager (Pricing)
London
£120,000 + benefits

THE COMPANY

Harnham is partnering with an online retailer / marketplace that is looking to add a Manager to their Data Science & AI team in London.

They have 1000 staff across offices in the UK, US and Europe, with the data team being small (circa 4-5 people). Working closely with the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machine learning across the business.

Key projects the team are working on currently:

• Dynamic pricing algorithms for the website
• Recommender systems
• NLP and classification
• Customer and marketing behaviour (LTV and segmentation)

A big focus for the next few months will be to make their current product pricing algorithms better!

YOUR SKILLS AND EXPERIENCE

You must have:

• An MSc or Ph.D. in a STEM topic with a machine learning focus
• Experience of working with large volumes of data (preferably online data)
• Expert knowledge of Python
• Working knowledge of GCP (other cloud tools fine)
• Knowledge of pricing is required for this role
• Excellent stakeholder management skills
• Experience in leading teams of data scientists who are responsible for deploying machine learning into production.

THE BENEFITS

£110,000 – £120,000 + Benefits

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For details on similar roles please contact Nick Mandella at Harnham.

KEYWORDS

Python, AWS, GCP, Azure, SQL, Pricing, Machine learning, Data Science, AI, Recommenders, Customer, Marketing, Marketplace, Online, Retail.

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ANALYTICS MANAGER
£45,000-£55,000
HYBRID – LONDON (3 DAYS A WEEK)

Please note, this company is unable to offer sponsorship at this time and you must be a UK resident.

THE COMPANY

This fast-paced digital agency works with some of the most exciting names in Hospitality, Travel, Food & Drink, and Entertainment. With a culture built around creativity, collaboration, and performance, they help brands convert digital attention into real-world results. You’ll join a friendly, vibrant office in Angel, complete with regular socials, snacks, and a strong sense of team.

THE ROLE

This is a lead role within the Performance team, owning the analytics function across a range of digital clients. You’ll work closely with specialists in SEO, paid media, CRO, and CRM to deliver clear, actionable insights that drive business decisions.

You’ll manage tracking plans, set up GTM containers, and ensure analytics data is accurate and accessible across dashboards and platforms. You’ll also collaborate directly with clients, presenting insights and leading analytics discussions with confidence.

There’s one offshore analytics specialist reporting into this role, and you’ll have plenty of support from senior stakeholders – but this is your chance to take real ownership of analytics strategy and delivery.

DAY TO DAY

• Lead analytics for multiple digital clients

• GTM setup, tagging, and tracking implementation

• Build and maintain dashboards (e.g., Looker Studio)

• Manage analytics accounts, data accuracy, and reporting

• Analyse performance data and produce strategic insights

• Present insights to clients and internal teams

• Line manage one offshore analytics team member

• Collaborate across performance and creative teams

Rough split: 75% technical work / 25% client-facing

SKILLS + EXPERIENCE

Must haves:

• Solid Google Tag Manager experience

• Proven track record in data analysis and reporting

• Experience managing dashboards (e.g., Looker Studio)

• Confident presenting data-driven insights to clients

• Comfortable working in a fast-paced agency environment

Nice to have:

• BigQuery experience (roughly 10% of the role)

• Prior experience leading analytics projects or managing people

• Understanding of paid media and digital marketing strategy

HOW TO APPLY

If this sounds like the right next step in your analytics career, send your CV over using the link below.

KEY TERMS
GTM, Google Tag Manager, Looker Studio, BigQuery, Google Analytics, GA4, Analytics Manager, Digital Agency, Hospitality, Travel, Paid Media, SEO, CRM, CRO, Strategy, Dashboards, Reporting, Data Analysis, Tagging, Tag Implementation, Web Analytics, Insight, Client-Facing, Marketing Analytics, Performance Marketing

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Director, Applied Research – Corporates Tax & Trade
Location: Flexible / Remote (US)
Compensation: $300,000 to $350,000 base salary + performance bonus + comprehensive benefits ($500,000 to $570,000 total)

ABOUT THE COMPANY

We’re partnered with a market-leading enterprise operating at the intersection of AI, compliance, and enterprise software. Their suite of corporate tax and trade products supports global organizations across industries like retail, technology, and pharma. With a strong focus on intelligent automation and applied AI, they have recently launched innovative tools such as AI assistants and product classification engines, paving the way for a new era of compliance decision-making. This role offers the chance to shape the direction of enterprise AI with tangible, global impact.

THE ROLE

As Director of Applied Research for Corporates Tax & Trade, you will lead a high-performing team of over 20 applied scientists and research engineers. You will oversee end-to-end delivery of AI solutions that power mission-critical compliance tools while continuously driving innovation across the product ecosystem.

Key Responsibilities:

• Leadership and Team Development: Inspire, coach, and scale a top-tier applied research team. Set clear goals and foster a collaborative, high-performance culture.

• AI Product Innovation: Lead the development and deployment of advanced machine learning models powering AI assistants, product classification tools, and other intelligent features.

• Strategic Delivery: Oversee the model development lifecycle from discovery to production across multiple major enterprise product lines.

• Innovation Vision: Drive the strategic roadmap for the next generation of AI-powered compliance solutions, including proactive decision support tools.

• Cross-Functional Collaboration: Work closely with leaders in product, engineering, UX, editorial, and marketing to align research efforts with business priorities.

• Stakeholder Engagement: Represent the team’s work in internal and external forums, including customer sessions and industry events.

• Portfolio Oversight: Manage R&D budgets, staffing allocation, and project prioritization for maximum strategic impact.

• Mentorship: Develop technical leaders and foster a growth-oriented, mission-driven team environment.

YOUR SKILLS AND EXPERIENCE

We are looking for a visionary AI leader who combines deep technical expertise with exceptional leadership and delivery skills:

• 10 or more years of hands-on experience developing and deploying commercial AI/NLP systems

• 5 or more years of experience managing and scaling high-performing research teams

• PhD (preferred) or Master’s degree in Computer Science, AI, NLP, or a related field

• Extensive experience with LLMs, including agentic architectures and retrieval-augmented generation (RAG)

• Proven success bringing ML-based features into production within complex enterprise environments

• Deep knowledge of AWS-based ML infrastructure and end-to-end MLOps practices

• Strong record of customer-focused delivery and collaboration with cross-functional stakeholders

• Track record of applied innovation; publication history in top venues such as ACL, EMNLP, NeurIPS, ICML, or ICLR is a strong plus

• Exceptional communication, stakeholder management, and strategic planning skills

THE BENEFITS

• Base salary of $220,000 to $260,000 plus performance bonus

• Drive enterprise AI innovation with real-world, global use cases

• Work from anywhere in the U.S.

• Comprehensive benefits including health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

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Machine Learning Engineer

Location: New York (Hybrid)

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

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

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AI Engineer

Location: New York (Hybrid)

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

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

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Principal Machine Learning Engineer – Recommendation & Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: $600,000 – $1,500,000 total package

(Base Salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

Join a hyper-growth global e-commerce innovator that’s reshaping how businesses deliver real-time, personalized experiences at the point of purchase. Leveraging cutting-edge AI and ML at massive scale, this organization is building the future of intelligent commerce-and you could be a key part of it.

With explosive growth, a high-caliber team, and a tech-first culture, this is a unique opportunity to drive meaningful impact in a fast-paced, data-driven environment.

THE ROLE

As a Principal Machine Learning Engineer, you’ll drive the design and deployment of large-scale, intelligent decision-making systems. From personalized recommendations to smart bidding and real-time optimization, your work will directly influence millions of transactions and customer experiences daily.

You’ll collaborate closely with product and engineering partners to build ML solutions that are both cutting-edge and production-ready.

Key Focus Areas:

• Smart bidding and budget pacing algorithms
• Real-time recommendation engines
• Lookalike modeling and customer targeting
• CTR/CVR modeling and conversion optimization

Responsibilities:

• Architect and deploy end-to-end ML solutions at scale
• Develop robust data pipelines, feature stores, and orchestration frameworks
• Build high-performance, production-grade ML models (batch & real-time)
• Lead experimentation (offline & online), including A/B testing and model tuning
• Drive engineering excellence with well-tested, maintainable, scalable code
• Mentor team members and contribute to a culture of technical growth

YOUR SKILLS & EXPERIENCE

• PhD or Master’s degree in Machine Learning, Computer Science, or a related field
• 10+ years of hands-on experience building production ML systems at scale
• Expertise in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow, Airflow)
• Deep knowledge of at least two of the following:
• Bayesian methods
• Recommender systems
• Multi-task or meta-learning
• CTR/CVR prediction models

Bonus: Experience with advanced model architectures like Deep & Cross Network v2, Multi-gate Mixture-of-Experts, or Deep & Wide Networks.

BENEFITS

• Significant equity in a high-growth tech company
• Premium, fully covered health insurance (you + family)
• 401(k) with 4% dollar-for-dollar match
• Catered lunches and daily snacks
• Global travel opportunities
• Inclusive, collaborative culture with a strong focus on innovation, diversity, and impact

✅ HOW TO APPLY

Ready to solve real-world problems at scale and push the boundaries of applied machine learning? Apply now to speak with one of our specialist recruiters and learn more about this high-impact opportunity.

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Principal Machine Learning Engineer – Recommendation / Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: Total package between $600,000 – $1,500,000

(Base salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you’ll play a critical role in shaping the next generation of intelligent decision-making systems. You’ll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

• Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
• Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
• Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
• Explore and prototype state-of-the-art models, conducting both offline and online experiments.
• Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

• PhD or Master’s in Machine Learning or a related field
• 10+ years of industry experience building end-to-end production ML systems
• Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
• Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
• Bonus: Familiarity with architectures such as Deep & Cross Network v2, Multi-gate Mixture-of-Experts, Deep & Wide

BENEFITS

• Equity in a high-growth business
• Premium, fully covered health insurance for you and your family
• 401(k) with 4% dollar-for-dollar match
• Catered lunch and snacks daily
• Global travel opportunities
• Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you’re a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

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Senior Multimodal Engineer (Visual Language Model & Object Detection)

REMOTE – US

$200,000 – $250,000 + Equity + Benefits

Are you passionate about building cutting-edge AI solutions that solve real-world challenges? A rapidly scaling Series A startup is looking for a Senior Computer Vision Engineer to join their elite engineering team and transform one of the world’s oldest and most foundational industries!

Backed by top-tier VCs and already working with Fortune 500 clients, this is a rare opportunity to join a technically ambitious and mission-driven company at a critical stage of growth. With a team of experts they’re combining advanced ML, computer vision, and multi-modal AI to automate some of the most complex and manual workflows in the construction world.

THE COMPANY

This AI startup is pioneering intelligent automation across the construction lifecycle-from blueprint analysis to jobsite monitoring leveraging computer vision to bring previously untapped data to life. With $30M in funding and a growing team of 50+ employees, including 20+ engineers, they’re launching a suite of AI agents that tackle challenges in:

• Image understanding
• Document intelligence
• Visual Q&A
• Multi-modal reasoning

They’re reimagining how visual and spatial data is used on-site and across operations, using AI to drive accuracy, speed, and cost efficiency.

THE ROLE

As a Senior Computer Vision Engineer, you’ll take ownership of designing, building, and deploying CV models that process and interpret a wide range of visual data.

You’ll be instrumental in shaping the company’s AI roadmap and embedding sophisticated visual understanding into production-ready tools used by field and office teams alike.

You will:

• Develop, train, and deploy CV models for object detection, image classification, segmentation, and more
• Design scalable ML pipelines to support model training, evaluation, and integration
• Work with proprietary datasets and define efficient labeling strategies to improve model performance
• Collaborate cross-functionally with ML, backend, and product teams to build user-centric solutions
• Apply state-of-the-art CV research, including visual transformers and multi-modal learning techniques, to production use cases
• Stay up to date with innovations in LLMs, RAG pipelines, and vision-language models, contributing where appropriate

YOUR SKILLS & EXPERIENCE

We’re looking for a CV engineer who brings both depth in technical knowledge and a builder’s mindset.

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Robotics, or a related field
• 5+ years of experience building and deploying computer vision systems in production
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV
• Deep understanding of image processing, feature extraction, and model evaluation techniques
• Hands-on experience with transformer-based CV models (e.g., ViT, DINO, SAM) and/or multi-modal architectures

Bonus skills:

• Exposure to LLM-based systems or Retrieval-Augmented Generation (RAG) pipelines
• Experience working with blueprints, schematics, or construction-specific datasets

BENEFITS & CULTURE

• Highly competitive salary ($200K-$250K) + meaningful equity package
• Fully remote flexibility across the US, with optional hybrid setups in NYC
• Comprehensive health benefits, medical, dental, vision (100% covered plan available)
• Unlimited PTO to support work-life balance
• Annual learning & development budget to fuel your growth
• Frequent team offsites, meetups, and daily in-office lunches (NYC)
• Work with an exceptionally talented and collaborative team solving challenging technical problems

READY TO APPLY?

If you’re excited about shaping the future of AI-driven automation in construction, we want to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Computer Vision Engineer

REMOTE – US

$200,000 – $250,000 + Equity + Benefits

Are you passionate about building cutting-edge AI solutions that solve real-world challenges? A rapidly scaling Series A startup is looking for a Senior Computer Vision Engineer to join their elite engineering team and transform one of the world’s oldest and most foundational industries!

Backed by top-tier VCs and already working with Fortune 500 clients, this is a rare opportunity to join a technically ambitious and mission-driven company at a critical stage of growth. With a team of experts they’re combining advanced ML, computer vision, and multi-modal AI to automate some of the most complex and manual workflows in the construction world.

THE COMPANY

This AI startup is pioneering intelligent automation across the construction lifecycle-from blueprint analysis to jobsite monitoring leveraging computer vision to bring previously untapped data to life. With $30M in funding and a growing team of 50+ employees, including 20+ engineers, they’re launching a suite of AI agents that tackle challenges in:

• Image understanding
• Document intelligence
• Visual Q&A
• Multi-modal reasoning

They’re reimagining how visual and spatial data is used on-site and across operations, using AI to drive accuracy, speed, and cost efficiency.

THE ROLE

As a Senior Computer Vision Engineer, you’ll take ownership of designing, building, and deploying CV models that process and interpret a wide range of visual data.

You’ll be instrumental in shaping the company’s AI roadmap and embedding sophisticated visual understanding into production-ready tools used by field and office teams alike.

You will:

• Develop, train, and deploy CV models for object detection, image classification, segmentation, and more
• Design scalable ML pipelines to support model training, evaluation, and integration
• Work with proprietary datasets and define efficient labeling strategies to improve model performance
• Collaborate cross-functionally with ML, backend, and product teams to build user-centric solutions
• Apply state-of-the-art CV research, including visual transformers and multi-modal learning techniques, to production use cases
• Stay up to date with innovations in LLMs, RAG pipelines, and vision-language models, contributing where appropriate

YOUR SKILLS & EXPERIENCE

We’re looking for a CV engineer who brings both depth in technical knowledge and a builder’s mindset.

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Robotics, or a related field
• 5+ years of experience building and deploying computer vision systems in production
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV
• Deep understanding of image processing, feature extraction, and model evaluation techniques
• Hands-on experience with transformer-based CV models (e.g., ViT, DINO, SAM) and/or multi-modal architectures

Bonus skills:

• Exposure to LLM-based systems or Retrieval-Augmented Generation (RAG) pipelines
• Experience working with blueprints, schematics, or construction-specific datasets

BENEFITS & CULTURE

• Highly competitive salary ($200K-$250K) + meaningful equity package
• Fully remote flexibility across the US, with optional hybrid setups in NYC
• Comprehensive health benefits, medical, dental, vision (100% covered plan available)
• Unlimited PTO to support work-life balance
• Annual learning & development budget to fuel your growth
• Frequent team offsites, meetups, and daily in-office lunches (NYC)
• Work with an exceptionally talented and collaborative team solving challenging technical problems

READY TO APPLY?

If you’re excited about shaping the future of AI-driven automation in construction, we want to hear from you.

To Apply for this Job Click Here