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Are you a strong software engineer with LLM expertise?
Have you built production-grade systems and want to apply them to GenAI?
Ready to own the build and deployment of AI-powered tools-not just prototypes?

A fast-growing GenAI consultancy is building real-world AI applications for clients across finance, media, energy, and more. With over 50 people and aggressive growth plans, they specialise in deploying LLM-powered tools that solve complex, real-world problems-fast. Projects span agentic systems, retrieval-augmented generation (RAG), edge ML, and full-stack automation.

This role is ideal for a senior software engineer with strong Python skills and a deep interest in AI. You don’t need to be an ML researcher-but you should know how to ship production systems, design APIs, and lead delivery. You’ll join a high-performing technical team and work on projects that go live, not just into slide decks.

Key Responsibilities

• Build and deploy LLM-driven applications and backend services

• Design RAG pipelines, agentic AI systems, and end-user automation tools

• Take projects from prototype to production

• Work closely with clients and cross-functional delivery teams

• Lead junior engineers within project pods

Key Details

• Working model: Hybrid (3 days/week in central London)

• Tech stack: Python, Docker, AWS (Lambda, Step Functions, Bedrock), CI/CD, LLM APIs

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Lead Data Scientist – Credit Risk Modelling
£80-105,000 (dependent on experience)
London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models, whether that be in credit risk, insurance or a wider pricing setting
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience mentoring or managing junior team members

SALARY AND BENEFITS

• Base salary from £80-105,000 depending on experience
• Company pension scheme
• Private medical care

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Lead Data Scientist
London
Private Equity
£140,000 – £150,000 + benefits

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

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

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

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

The Role – Lead Data Scientist

You will be:

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

Experience – Lead Data Scientist

You will have:

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

BENEFITS

Up to £150,000 base salary
Competitive bonus
The opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

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Senior Data Scientist – Remote

We are working with a publishing company who have expanded into digital platforms and subscription-based businesses. They are focused on building personalised media experiences and improving user engagement across their platforms.

They are now hiring their first Data Scientist to join a team of analysts and engineers. This is a greenfield role, ideal for someone looking to make a tangible impact across a diverse set of brands, audiences, and digital products. Over time, this position will evolve into a leadership role.

What You’ll Be Doing

• Build, prototype and deploy models (with engineering support) across multiple brands.
• Drive user segmentation and clustering to improve personalisation and subscription performance.
• Collaborate with editorial and product teams to help predict content relevance using metadata tagging.
• Work on user experience optimisation, such as improving content recommendations and personalisation strategies across web, CRM and app platforms.
• Partner with the analytics and engineering teams to define data science best practices, tooling, and workflow.

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Machine Learning Engineer
London
£100,000-£150,000

An elite, high-growth investment firm with a global presence is looking to expand its Machine Learning team in London. With backing from major institutional capital and a strong track record in global macro strategies, the firm is scaling its data and AI capabilities to support ambitious growth plans.

This is a rare opportunity to take full ownership of the ML lifecycle in a highly selective, performance-driven environment. You’ll be joining a lean, technically advanced team working on some of the most complex forecasting and signal generation challenges in finance.

What You’ll Do:

• Design and implement end-to-end ML workflows: data ingestion, model development, and deployment
• Automate and optimize large-scale data pipelines
• Develop forecasting and signal processing models tailored to macroeconomic data
• Collaborate closely with investment professionals and data scientists
• Contribute to the build-out of scalable ML infrastructure

What We’re Looking For:

• Proven commercial experience doing hands-on ML, ideally in a fast-paced or startup environment
• Proven track record working across the full ML lifecycle
• Strong coding and data engineering skills
• Background in finance, trading, or macroeconomic forecasting is essential
• Experience deploying models into production environments

Why Join:

• Exceptional autonomy and impact in a high-performing, well-capitalised firm
• Exposure to cutting-edge macro trading strategies and unique data sets
• Collaborative, entrepreneurial culture with a strong technical foundation
• Significant growth potential as the firm continues to scale globally

This role is ideal for someone looking to apply their ML skills in a high-stakes, high-reward environment, where your work will directly influence investment decisions.

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FULL STACK DATA SCIENTIST
PARIS (75)
45-60K€

Dans le cadre du développement de l’équipe Data Engineering, nous recrutons un(e) Data Engineer & Scientist Senior.

Le poste s’oriente davantage vers l’engineering, tout en conservant une dimension analytique au service des métiers (RH, marketing, satisfaction client).

VOTRE ROLE

Structurer, organiser et consolider la collecte de données existante

• Maintenir, modifier occasionnellement et faire évoluer des pipelines de données déjà en place
• Être autonome sur les sujets R&D Data, avec une forte composante scientifique (création de POC IA, analyse, modélisation, prédiction)
• Travailler en étroite collaboration avec les équipes métiers (RH, marketing, satisfaction client) pour transformer la donnée brute en insights métier
• Participer à la roadmap technique et scientifique sur 3, 6 et 12 mois, principalement autour des sujets IA et Data Engineering
• Manipuler les données via Python, SQL, PySpark, dans un environnement cloud (préférence AWS mais GCP/Azure possible)
• Construire et alimenter des dashboards avec des outils de data visualisation adaptés

VOTRE PROFIL

• 3 à 6 ans d’expérience en Data Engineering / Data Science
• Vous avez déjà travaillé dans un environnement startup ou scale-up, avec une forte autonomie et un esprit de construction
• Expérience en structuration d’un pôle data ou mise en place de pipelines from scratch appréciée
• Langages & outils : Python, Power BI ou Tableau (must have)
• Outils statistiques : SAS (must have), SPSS (nice to have)
• Cloud : AWS
• Français courant
• Diplômé(e) d’une école d’ingénieur ou grande école

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Senior Machine Learning Engineer (Diffusion Models & Generative AI)

NEW YORK – Onsite, 5 Days/Week
Up to $200,000 + Benefits + H1B Transfer Available

Are you passionate about building cutting-edge AI systems that transform the online shopping experience? A fast-growing Series A e-commerce startup in New York is looking for a Senior ML Engineer to push the boundaries of diffusion models and generative AI for next-generation retail solutions.

Backed by leading investors and already working with top global retailers, this is your chance to join an ambitious company at a critical stage of growth. You’ll work with a world-class engineering team applying multimodal AI and diffusion models to create immersive, personalized, and automated product experiences.

THE COMPANY

This AI-powered e-commerce startup is redefining how products are discovered, designed, and purchased online. By harnessing the power of diffusion models, computer vision, and multimodal learning, they’re unlocking new ways to enrich catalogs, generate content, and personalize shopping.

With Series A funding secured, a growing team of 40+, and a strong customer pipeline, they’re tackling challenges in:

• Synthetic product image generation

• Virtual try-ons and visualization

• Automated catalog enrichment

• AI-powered personalization and search

Their mission: use generative AI to supercharge e-commerce innovation and transform the way consumers shop.

THE ROLE

As a Senior ML Engineer, you’ll take ownership of designing, training, and deploying diffusion-based generative models to power real-world e-commerce applications.

You will:

• Research, develop, and fine-tune diffusion models for product imagery, augmentation, and personalization

• Build scalable pipelines for training, evaluation, and inference with large datasets

• Work with cross-functional teams to deploy AI-powered catalog and shopping features

• Explore and adapt state-of-the-art generative AI methods (diffusion, multimodal transformers, vision-language fusion) into production systems

• Stay on top of innovations in generative AI, foundation models, and synthetic data

YOUR SKILLS & EXPERIENCE

Must-haves:

• MS or PhD in Computer Science, Machine Learning, or related field

• 5+ years of experience building and deploying ML models in production

• Strong expertise in diffusion models and/or generative modeling

• Proficiency in Python, PyTorch/TensorFlow

• Strong understanding of deep learning architectures, training optimization, and evaluation

Nice-to-haves:

• Experience in e-commerce or retail product datasets

• Exposure to multimodal systems (vision + text)

• Knowledge of LLMs or RAG pipelines for search and recommendations

BENEFITS & CULTURE

• Competitive salary up to $200K

• Full health, dental, and vision coverage

• H1B transfer sponsorship available

• Work onsite in a collaborative NYC office environment

• Daily catered lunches, team events, and a fast-paced, innovative culture

READY TO APPLY?

If you’re excited about building the future of generative AI in e-commerce, we’d love to hear from you.

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Senior Multimodal Engineer (Visual Language Models & Diffusion Models)
ONSITE NEW YORK (5 days/week)
$200,000 + Equity + Benefits

Are you passionate about building state-of-the-art AI systems that tackle real-world problems? A rapidly growing, venture-backed Series A eCommerce AI startup is looking for a Senior Multimodal Engineer with deep experience in computer vision and diffusion models to help revolutionize the way product data, images, and user interactions are understood and leveraged in online retail.

THE COMPANY

This company is reinventing how large-scale eCommerce platforms utilize AI to optimize customer journeys, automate catalog management, and generate rich product experiences. With $30M+ in funding, a team of 50+ (including 20+ engineers), and partnerships with several Fortune 500 retailers, they’re using advanced ML and multi-modal AI to streamline everything from image-based search to intelligent product tagging and auto-generated marketing content.

Their AI agents tackle some of the most pressing challenges in the space, including:

• Visual product understanding and search

• Automated attribute extraction and catalog enrichment

• AI-powered content generation and personalization

• Visual Q&A and recommendation systems

‍ THE ROLE

As a Senior Multimodal Engineer, you’ll be at the forefront of designing and deploying cutting-edge models that combine visual and textual understanding to power a new generation of intelligent eCommerce tools. A key area of focus will be diffusion models-developing, fine-tuning, and scaling them for both generative and discriminative tasks.

You’ll work closely with a cross-functional team of ML engineers, backend developers, and product leaders to embed multimodal intelligence into real-world, user-facing applications.

YOU WILL:

• Design, train, and deploy CV and generative models (with a focus on diffusion models) for a wide variety of use cases, including:

  • Product image generation/enhancement

  • Visual similarity search

  • Automated product tagging/classification

  • Visual Q&A and content synthesis

• Build and optimize scalable ML pipelines for training, evaluation, and deployment

• Work with proprietary eCommerce datasets and develop intelligent data labeling and augmentation strategies

• Implement the latest advancements in transformer-based CV models and vision-language architectures (e.g., CLIP, BLIP, DINO, SAM)

• Stay current with innovations in LLMs, multi-modal learning, and RAG pipelines, integrating them where applicable

• Collaborate on architectural decisions, contribute to research efforts, and shape the long-term AI roadmap

✅ YOUR SKILLS & EXPERIENCE

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Machine Learning, or related field

• 5+ years of experience developing and deploying computer vision systems in production

• Expertise in diffusion models (e.g., Stable Diffusion, Imagen, DALL·E) and their application to visual data

• Strong programming skills in Python, with deep experience in PyTorch, TensorFlow, and OpenCV

• Solid understanding of feature extraction, model evaluation, and scalable training practices

• Familiarity with vision transformers, multi-modal architectures, and image-text pretraining

Nice-to-haves:

• Experience working with eCommerce data, product catalogs, or user-behavior datasets

• Exposure to LLM integrations, RAG systems, or hybrid generative-discriminative pipelines

• Knowledge of synthetic data generation and augmentation strategies

BENEFITS & PERKS

• Competitive salary ($200K) + meaningful equity

• 5-day/week in-office role based in New York City (Midtown Manhattan HQ)

• Comprehensive medical, dental, and vision insurance (100% covered plan available)

• Unlimited PTO and generous parental leave

• Annual L&D budget and support for conference attendance

• Daily catered lunches and regular team offsites

• A collaborative, fast-paced environment where you’ll work with some of the brightest minds in AI and eCommerce

READY TO APPLY?

If you’re excited to build next-gen AI systems that redefine how consumers interact with online retail, and you thrive in an innovative, high-performance environment, we’d love to hear from you!

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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Data Scientist – R&D – Leeds

We’re seeking a curious and analytically driven Data Scientist to join our team and help tackle real-world challenges in areas such as demand forecasting, pricing strategy, and promotional optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems.

Responsibilities:

• Conduct exploratory analyses to uncover trends and patterns in data
• Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness
• Evaluate and implement emerging data science techniques to improve existing approaches
• Collaborate with cross-functional teams to define research questions and align on business goals
• Develop predictive models and analytical tools
• Communicate insights through clear, reproducible research and translate technical findings for diverse audiences

What We’re Looking For:

• Solid foundation in statistics, experimental design, and research methodology
• Experience working with real-world datasets to drive actionable insights
• Proficiency in at least one analytical programming language (e.g., Python, R, or Julia)
• Ability to communicate complex ideas clearly to both technical and non-technical stakeholders
• A self-starter mindset with a collaborative and inquisitive approach
• MSc or PhD in a relevant field

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