Fullstack Engineer
New York / $175000 - $190000 annum
INFO
$175000 - $190000
LOCATION
New York
Permanent
Fullstack Software Engineer - Web Application Developer
$175,000 - $190,000
US Remote (Must be based in the US)
Robotics Start-Up
Our client is a cutting-edge Computer Vision product company on a mission to improve safety in industrial environments. By applying advanced AI to construction inspection and failure prediction, they're solving real-world challenges in high-risk industries such as utilities, mining, maritime, and construction. Their solutions are already redefining safety standards in electric utility operations, eliminating guesswork and preventing potentially catastrophic failures.
With a lean, highly skilled team, they're building AI-powered systems that connect field operators with intelligent diagnostics through ruggedised edge devices and responsive web apps in real-time, and often in offline-first environments.
THE ROLE
This is a high-impact opportunity to own and lead the development of a mission-critical web application stack. You'll build the interfaces that connect industrial AI edge devices to field users and central office systems. This platform is central to the company's value proposition and user experience.
Full ownership of the customer-facing web application stack
- Architecting resilient systems for unreliable field connectivity
- Integrating edge device data with AWS-hosted cloud infrastructure
- Designing and building scalable front-end experiences using Vue.js
- Establishing secure API contracts, identity management, and CI/CD pipelines
- Collaborating closely with AI, product, and device engineering teams
- Laying the foundation for future platform and team scaling
YOUR SKILLS AND EXPERIENCE
- You will have experience working in a robotics, Edge of IoT business.
- Expert-level experience in full-stack web application architecture
- Proven experience with real-time data systems and offline-first design
- Strong front-end skills (Vue.js preferred) and backend API design
- Experience with cloud platforms (AWS) and edge device integration
- Knowledge of best practices in identity management and web security
- Familiarity with CI/CD pipelines and deployment automation
- Ability to lead independently while communicating effectively across teams
BENEFITS
- 170,000 - 190,000 USD
- Opportunity to lead critical architecture in a greenfield enviroment
- Remote-first culture
- Direct impact on safety in a high-risk industry
- Equity on a case-by-case basis.

SIMILAR
JOB RESULTS

Principal AI Scientist
New York
$350000 - $400000
+ Data Science & AI
PermanentNew York
Principal AI Scientist – AdTech
New York, New York – 4 days onsite
$350,000 – $400,000 + bonus + equity
THE COMPANY
Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
RESPONSIBILITIES
-
Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.
-
Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
-
Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
-
Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.
-
Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
-
Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
-
Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.
-
Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
-
Experience scaling out MLE teams as tech lead or manager preferred.
- Commercial experience combination of big tech and scaling startups a plus.
BENEFITS
The compensation package contains a base salary, a bonus, and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

Senior Analytics Engineer
London
£70000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Analytics Engineer
Location: London (Hybrid – 1 day per week in-office)
Team: Data & Analytics
About the Role:
We’re looking for a Senior Analytics Engineer who combines strong technical expertise with business awareness and a passion for clean, scalable data. In this role, you’ll design and maintain robust data models, support data infrastructure, and work closely with stakeholders to deliver trusted, self-serve analytics solutions.
You’ll take ownership of how data is modelled and shared across the business, enabling insight and supporting strategic decisions. This role is ideal for someone who thrives in fast-paced, evolving environments and wants to have a lasting impact on data culture and capability.
You’ll be based in London, with an expectation to work from the office once a week.
Requirements:
- Proven experience as an Analytics Engineer or in a similar data engineering/BI role
- Advanced SQL skills with hands-on experience using dbt for data modeling
- Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow
- Experience with version control tools (e.g., Git)
- Ability to design, build, and document scalable, reliable data models
- Comfortable gathering business requirements and translating them into data architecture
- Strong problem-solving skills and attention to detail
- Clear communicator with the ability to support non-technical users and promote self-serve analytics
What Will Make You Stand Out:
- Exposure to Python for analytics engineering or automation tasks
- Background in the insurance or financial services sector (a plus, not essential)
- A commercial mindset-you understand how data supports business goals and can design solutions with impact in mind
- Curiosity and initiative around using AI tools to streamline workflows, increase productivity, or enhance analysis
- Passion for improving processes and evolving best practices across data team
The client is looking to move quickly, if you would like to follow up on your application please email or message me on LinkedIn.
To Apply for this Job Click Here

Head of Data & AI
London
£120000 - £130000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Role: Head of Data & AI
Location: Central London (hybrid 2-3 days a week in office)
Salary: £130,000 + Benefits
Our client is hiring a Head of Data & AI to lead the transformation of their data function across engineering, analytics, governance, and applied AI/ML.
This is a high-impact leadership role where you’ll define the data strategy, build out a top-tier team, and partner with senior leaders across product, tech, and risk. You’ll also play a key role in the organisation’s AI roadmap – ensuring scalable, ethical, and secure use of machine learning.
Key Focus Areas
- Own and execute enterprise data strategy
- Build and lead a multi-disciplinary data & AI team
- Drive modern data platform development (dbt, Airflow, Snowflake, Looker/Power BI)
- Deliver business-critical analytics and reporting
- Support responsible AI/ML initiatives
- Define data governance, privacy, and compliance frameworks
What We’re Looking For
- Proven data leadership in fintech, SaaS, or cloud-native environments
- Strong technical background in data engineering, analytics, or science
- Experience working with Finance and Risk teams
- Familiar with AWS and modern data/AI stacks (SQL, Python, MLflow, MLOps)
- Strategic mindset with ability to scale teams and influence at C-level
To Apply for this Job Click Here

Junior Data Analyst
London
£28000 - £35000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Job Title: Junior Data Analyst
Location: London (Hybrid – 2-3 days/week in office)
Salary: £35,000
A well-established professional services firm is seeking a Junior Data Analyst to support its growing analytics and insights team. This is an ideal role for someone with a keen eye for data, looking to build a strong foundation in analytics within a collaborative, commercially focused environment.
The Role:
You’ll work alongside experienced analysts and business stakeholders, helping to transform raw data into clear, actionable insights. From data preparation and cleaning to supporting dashboards and regular reporting, you’ll play a key part in driving smarter decision-making across the business.
What You’ll Be Doing:
-
Preparing, validating and analysing data from multiple internal systems
-
Assisting with the creation and maintenance of dashboards and regular reports
-
Supporting ad-hoc analysis and insight requests from across the business
-
Working closely with the senior analytics team to continuously improve data processes
What We’re Looking For:
-
Strong Excel and data handling skills (SQL knowledge a plus)
-
A methodical, detail-oriented approach to working with large datasets
-
Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable
-
Eager to learn, with a genuine interest in using data to solve business problems
- Quantitative degree from a leading university is essential
You’ll be based in London 2-3 days a week, with flexibility around remote working. This is a great opportunity to start or build your career in a role where development and learning are encouraged.
To Apply for this Job Click Here

CAN’T FIND THE RIGHT OPPORTUNITY?
STILL
LOOKING?
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.