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Role: Data Engineering Manager
Location: Brighton (Hybrid – 1 day per week in-office)
Salary: £90,000

An innovative, product-led tech company is hiring a Data Engineering Manager to lead a growing data function at the centre of a cutting-edge AI transformation. You’ll be managing a team of three Engineers, working on a new intelligent recommendation engine that’s set to redefine the online customer journey across telecoms – and beyond.

With recent investment and a new AI product now live with major global clients, this is a unique opportunity to join during an exciting scale-up phase and have real influence on architecture, systems, and product evolution.

Key Responsibilities:

• Line manage and mentor a team of 3 Data Engineers

• Own and support delivery across both legacy and new AI-driven products

• Collaborate with Data Science, Engineering, and Product teams to build real-time data pipelines and infrastructure

• Be hands-on when needed: supporting with code, architecture, and stakeholder requirements

• Help shape and scale a modern data stack, and act as a technical coach within the team

What You’ll Be Working On:

• Building and supporting “Humara” – an intelligent, AI-driven virtual sales advisor that enables more human-like customer interactions on partner websites

• Enhancing real-time data capabilities to better understand and predict user behaviour

• Supporting a data function embedded within the tech team – directly influencing architecture and systems decisions

Tech Environment:

• AWS, Snowflake, Python, Airflow

• Docker, Fivetran, Looker

• Real-time streaming technologies are a bonus

What We’re Looking For:

• Proven experience managing or mentoring Engineers (either as a Lead or in a formal management role)

• Hands-on technical background in data engineering

• Comfortable working in fast-paced, product-led environments

• Real-time data experience or strong interest in streaming technologies

• Strong communication skills and stakeholder engagement

• Open to industry background – experience with user-facing or intelligent products is a bonus

Interview Process:

• 30-minute intro with Head of Data

• Technical task + walkthrough interview

• Culture & competency-based interview

• Final interview with CTO to discuss vision and future plans

Benefits Include:

• Private healthcare and life insurance

• 25 days’ holiday + bank holidays + birthday off (rising to 30 days with tenure)

• Hybrid working – just one day per week in Brighton office

If you’re a hands-on data leader looking to step into a product-focused, AI-driven environment – this is a brilliant opportunity to drive impact and grow a team. Apply now or send your CV to learn more.

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To Apply for this Job Click Here

Role: Head of Data Engineering
Location: London (Hybrid – 1 day per week in-office)
Salary: £110,000 – £120,000 + 10% Bonus + Share Options

A high-growth, product-focused scale-up in the financial services space is hiring a Head of Data Engineering to lead and evolve their core data platform. This is a hands-on leadership role with the opportunity to shape both the technical architecture and the team as the business enters its next phase of growth.

You’ll be responsible for owning the entire data function – setting the strategic direction, developing the team, and delivering a reliable, scalable, and modern data platform that underpins key decisions across the business.

This is a great opportunity for someone who’s already acting as a Head of (in title or in practice) or a seasoned Data Engineering Lead ready to step up into a broader leadership role.

Key Responsibilities:

• Lead, mentor, and scale a high-performing team of Data Engineers (currently four people)

• Own and evolve the end-to-end data architecture, including ingestion, transformation, and governance

• Collaborate closely with Product, Analytics, and Data Science to deliver business-critical solutions

• Drive best practices around CI/CD, infrastructure-as-code, and modern data tooling

• Introduce and advocate for scalable, efficient data processes and platform enhancements

Tech Environment:

• Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres

• AWS (S3), Docker, Terraform

• Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus

What We’re Looking For:

• 5+ years in Data Engineering, including 2+ years in a leadership or management role

• Experience designing and operating modern data platforms in fast-paced, product-led environments

• Strong stakeholder engagement skills, particularly with technical and commercial teams

• Comfortable leading both strategy and technical delivery

• Background in start-up/scale-up environments preferred

Interview Process:

• Initial chat with VP of Engineering

• Technical walkthrough with senior engineering leaders and Head of Data Science

• Take-home technical task

• System design session and stakeholder interviews

• Final behavioural interview with leadership team

If you’re looking for a high-impact role with genuine ownership and the ability to shape a data function from the ground up, this is a unique opportunity. Apply now or send your CV.

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To Apply for this Job Click Here

HEAD OF DATA

Paris – Hybride

UP TO 80K€ fixes + 3% variable

Python – Azure – Databricks – GitHub

C’est une start-up innovante qui développe une plateforme pour le secteur logistique. Ce domaine t’intéresse ? Alors rejoins leur équipe pour les aider à réaliser leurs défis !

MISSIONS

En tant que Head of Data, tu seras en charge du pôle Data. Tu travailleras en étroite collaboration avec les équipes Data Engineering, Data Science ainsi que les équipes Produit et Business. Tes missions au quotidien :

• Manager et accompagner l’équipe Data composée de 2 Data Engineers et de 2 Data Scientists (analytics & modélisation), veillant à leur développement personnel et professionnel.
• Piloter la vision stratégique data de l’entreprise en garantissant une architecture data cohérente et scalable
• Garantir la mise en place et le respect des bonnes pratiques Data (processus fluides, standards de qualité et documentation).
• Produire ou superviser la production de livrables Data destinés aux clients externes (analyses, modèles, dashboards, automatisations).
• Collaborer étroitement avec l’Architecte, le Head of Development et le Head of Product afin de fluidifier l’ensemble des processus techniques et opérationnels.
• Faciliter la collaboration transverse entre les différents pôles
• Communiquer régulièrement avec le comité de direction sur les avancées et enjeux stratégiques du pôle Data.

PROFIL

• BAC+5 en mathématiques, statistiques ou économie
• Minimum 5 d’expérience en data science & data engineering avec un 1 an sur un rôle avec du management humain (au moins 3 personnes)
• Solides connaissances des pipelines de données et de la modélisation data science
• Connaissance d’un outil de visualisation comme Power BI ou Tableau ou d’un Cloud Public (Azure, GCP ou AWS)
• Bonnes capacités de communication avec un esprit critique fort pour challenger les équipes
• Intérêt pour l’environnement en startup

POUR POSTULER

Merci de nous faire part de votre CV et nous vous recontacterons dans les meilleurs délais

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Position: Staff Full-Stack Developer
Location: Remote (UK-based)
Salary: Up to £115,000 + Benefits

We’re partnering with a high-growth SaaS company, founded by proven entrepreneurs, to find an experienced Staff Full-Stack Developer. Their platform is reimagining how top-tier professional services firms, spanning finance, legal, and consulting-interact with data-rich, collaborative workflows.

Role Summary:

This is a senior, hands-on engineering role offering deep technical ownership without people management. You’ll work closely with the CTO and CEO to build scalable features, shape architecture, and deliver cutting-edge solutions that drive real business impact. The right candidate will be an expert full-stack developer who thrives in fast-paced, product-driven environments.

Key Responsibilities:

• Design, develop, and maintain full-stack features using C#, ASP.NET Core, TypeScript, and Vue.js (or React/Angular)

• Take architectural ownership of key systems and applications

• Deliver high-performance, secure, and maintainable code

• Collaborate directly with leadership on mission-critical product initiatives

• Contribute to strategic technical decisions and long-term platform evolution

• Provide technical mentorship and champion engineering best practices

• Stay adaptable to shifting priorities in a dynamic product environment

What We’re Looking For:

Essential:

• Extensive experience in full-stack development, including backend (C#, ASP.NET Core) and modern frontend frameworks

• Strong command of SQL and API architecture

• Proven ability to design, build, and ship complex systems

• Comfortable working autonomously in a fast-moving SaaS environment

• Ability to take technical ownership of features from concept to deployment

Desirable:

• Experience with Azure and Docker

• Knowledge of data visualisation tools or interactive diagramming platforms

• Background in building enterprise SaaS products

• Exposure to real-time interfaces or AI-enhanced UIs

To Apply for this Job Click Here

To Apply for this Job Click Here

PRINCIPAL SOFTWARE ENGINEER
CITY OF LONDON – 4/5 DAYS IN OFFICE
£100,000 – £120,000

Our client, a leading investment management firm specialising in sports trading, is looking for a talented individual to join their expanding technical team. This is a unique opportunity to apply your expertise to real-world sporting events and contribute to a company with exceptional team retention and a collaborative culture.

THE COMPANY:

Founded in THE 2000s, this organically growing investment management firm has carved out a niche in the dynamic world of sports trading. With a turnover exceeding £10 million last year, they trade globally across various sports. Their technical team of 30 is at the heart of their success, and these new roles are crucial as they continue to build out their core functions.

You’ll be joining a company that prides itself on a strong, fluid culture, offering significant autonomy and a genuine commitment to work-life balance and flexibility. Their high team retention speaks volumes about the supportive and engaging environment they’ve cultivated.

THE ROLE:

As a Principal Software Engineer, you’ll be instrumental in developing sophisticated predictive models that forecast the outcomes of sporting events. You’ll be working with strong quants coming from and statistics background, with a keen eye for problem-solving. You’ll work across the full stack, contributing to both front-end and back-end development.

This is a hands-on technical role and whilst a background in sports trading isn’t essential, an interest in sports, particularly in a quantitative context, would be a plus. You’ll be joining a collaborative environment where you have the opportunity to work cross-functionally and significantly impact the company’s core operations.

YOUR SKILLS AND EXPERIENCE:

The ideal Principal Software Engineer will have:

• Strong mathematical and statistical expertise, ideally from a quantitative background.
• Proficiency in C# and the .NET platform.
• Experience with JavaScript front-end frameworks, such as React.
• Solid understanding of Network Programming (TCP/UDP).
• Experience with Distributed Version Control systems (e.g., PlasticSCM, Git, Hg).
• A history of good tenure in previous roles.

HOW TO APPLY:

Please register your interest by sending your CV via the Apply link on this page.

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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)

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

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