React Developer
/ $60000 - $80000 annum
INFO
$60000 - $80000
LOCATION
Permanent
About the Company
Our client is on a mission to make high-quality math education accessible to every student, no matter where they live. Our platform blends handwriting, speech, and text with cutting-edge AI to create personalized, interactive learning experiences.
The Role
We're looking for a React Developer who thrives on creating playful, modern interfaces that engage K-12 learners. You'll help build features that feel alive and intuitive, with delightful animations and clean design. You'll work closely with designers, founders, and AI engineers to create an experience students love.
This is a unique opportunity to shape the front-end of a global edtech product from the ground up. You must be comfortable working within a start up environment, on a small team.
What You'll Do
Own and build new features for student and parent dashboards using React, Tailwind, and Shadcn.
Design smooth animations and thoughtful micro-interactions.
Collaborate across design, AI, and backend teams to create multimodal (handwriting, speech, text) experiences.
Write clean, maintainable code with strong state management.
Contribute to the component library and advocate for front-end best practices.
Continuously improve UX and suggest new ideas to enhance engagement.
Who You Are
2+ years of experience building production-grade React apps.
Strong grasp of component-based architecture and state management (Redux, Zustand, Jotai, etc.).
Experience with Tailwind CSS and/or Shadcn UI (or similar libraries).
Self-motivated, collaborative, and comfortable in a fast-paced startup environment.
Bonus Points If You Have
Experience in K-12, edtech, or accessibility-focused applications.
Familiarity with animation libraries (Framer Motion, Lottie, etc.).
Exposure to audio/image/speech integrations or AI-based products.
Backend familiarity with Python/Django or working with AI services.
Note: This candidate must be authorized to work in the U.S. We cannot provide sponsorship for this role now or in the future. We will not accept C2C applicants and are not looking to partner with outside vendors.

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JOB RESULTS

Senior Analytics Engineer
Leeds
£75000 - £80000
+ Data Engineering
PermanentLeeds, West Yorkshire
SENIOR ANALYTICS ENGINEER
UP TO £80,000 + BENEFITS
PRIMARILY REMOTE
Looking to take ownership of scalable data models, shape a brand-new analytics function, and work with the modern data stack from day one?
THE COMPANY:
I’m working with a fast-scaling, tech-driven organisation that’s investing heavily in its data capabilities. As part of a wider data transformation, they’re building out a dedicated Analytics Engineering team focused on creating scalable, trusted data infrastructure. With strong support from BI, Data Science, and Engineering teams, this function is central to how the business defines and uses data going forward.
THE ROLE:
You’ll help lay the foundations of the analytics engineering practice-owning your area of the data model, improving data quality, and shaping how data is delivered across the business. Reporting to a highly experienced team lead, you’ll work closely with stakeholders across Product, Engineering, and Commercial.
- Design and build reusable, high-performance data models using dbt
- Translate business logic into well-documented sources of truth
- Contribute to data quality checks, testing, and CI/CD best practices
- Partner with cross-functional teams to deliver scalable analytics solutions
- Help shape architectural decisions and improve data model governance
YOUR SKILLS AND EXPERIENCE:
A successful Analytics Engineer will bring:
- Strong SQL skills and hands-on experience with dbt (or similar tools)
- Experience designing as well as building data models
- Exposure to Snowflake and/or data pipeline tools
- Understanding of testing, CI/CD, and data quality frameworks
THE BENEFITS:
You will receive a salary dependent on experience-up to £80,000. On top of that, there’s a generous benefits package and plenty of opportunity to grow as the team scales.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Director of Data Science – Tax & Compliance
New York
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Data Science – Tax & Compliance
Location: 2-3 days/week hybrid in New York, New York
Compensation: $300,000 – $350,000 base salary + performance bonus + equity
ABOUT THE COMPANY
We are partnered with a high-growth financial services company at the intersection of AI, legal tech, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.
With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives for tax, compliance and auditing projects. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.
THE ROLE
As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.
Key Responsibilities:
-
Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.
-
Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.
-
Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.
-
Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.
-
Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.
-
Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.
-
Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.
-
Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.
-
Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.
-
Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.
YOUR SKILLS AND EXPERIENCE
Required Qualifications:
- 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
- Comfortable leading teams of 15+ data scientists and machine learning engineers
- Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
- Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
- Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
- Extensive tax, compliance and/or audit domain experience.
- Comfortable with regulatory compliance processes, risk management, data privacy.
- Familiarity with the SEC, FCA and FINRA preferred
- Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
- PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
- Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.
THE BENEFITS
- Senior-Level Management Compensation: $300,000 – $350,000 base + bonus + tangible equity.
- Hybrid Work Culture: 2-3 days/week in office in New York.
- Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
- Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
- Strategic Impact: Lead a core function at the center of the company’s long-term success.
HOW TO APPLY
Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.
KEYWORDS:
Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance
To Apply for this Job Click Here

Principal AI Scientist
New York
$350000 - $400000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
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
To Apply for this Job Click Here

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

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